Podcasts about google sge

Google's AI-powered search is here—and it's already changing how your future clients find (or don't find) your firm.In this episode of The Growth Minded Accountant, host Lee Reams II and guest Rebekah Barton unpack how AI tools like Google SGE, ChatGPT, and Perplexity are reshaping online visibility for tax and accounting professionals.What you'll learn: • Why “ranking on Google” no longer guarantees traffic • How to get your firm's content cited by AI (instead of your competitors') • Sample prompts and strategies to future-proof your SEO • Why this shift is a massive opportunity for firms that move now

In den USA verfügbar, in Deutschland noch nicht: Google SGE ist eine KI-Erweiterung, die uns als Usern KI-generierte Antworten zusammenstellen kann.  In dieser Podcast-Folge gebe ich dir einen ersten Überblick zu Google SGE: Wie funktioniert das genau? Was sind Vor- und Nachteile? Wie ändert sich die Suche? Und ist das gut für SEO…?   → Blogartikel Google SGE: https://satzgestalt.com/google-sge-search-generative-experience/ → Warteliste SEO Superhelden 2.0: https://ssh.satzgestalt.com/seo-superhelden-warteliste  → SEO-Checkliste für 0 EUR: https://seo.satzgestalt.com/pod-checkliste

Le contenu est-il toujours roi, comme l'annonçait Bill Gates ?Le comportement des internautes a drastiquement changé depuis cette citation, à l'instar des technologies digitales. À l'ère de l'IA générative et avec l'apparition de Google SGE, peut-on encore affirmer en 2024 que le contenu est roi ?Comment continuer à créer du contenu de qualité… qui performe ?Pour répondre à cette grande question, on accueille à notre micro Lionel Cherpin, fondateur de l'agence de marketing digital Empirik.L'occasion de parler marque média, nouvelles fonctionnalités de Google ou encore… RGPD !Bonne écoute !Podcast créé par Wait for it, agence créative slash studio de prod. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode, we dive into the strategies you need to succeed in 2024 when it comes to ranking on both ChatGPT and Google's Search Generative Experience (SGE).

Wed, 31 Jul 2024 04:15:00 +0000 https://omt-magazin.podigee.io/9590-neue-episode 7067d1e2a6b9b9cee1cb8a63114398cd ℹ️ Thomas Schenker beim OMT ℹ️ OMT-Webinare ℹ️ OMT-Konferenz ℹ️ OMT-Agency Day ℹ️ OMT-Tool Konferenz 9590 full no Anna Flimm, Thomas Schenker

Fery Kaszoni is the founder of Search Intelligence and this is his 2nd time being on the podcast. Link building is already changing after many spam and helpful content updates. In 2024, Fery is doubling down on digital PR as the crucial form of link building that has to be done for brands to stay relevant today.

Google verändert sein SERP-Layout ja regelmäßig. Und das Google immer mehr zur Antwortmaschine wird und die Nutzer im eigenen Ökosystem halten will, ist auch kein Geheimnis mehr. Google SGE hat es bis zu uns nicht geschafft, jetzt nennt Google die neue Suche AI Overview. In den USA ist sie verfügbar und in weiteren Ländern soll der Rollout bevorstehen. Neben den vielen Interviews, die ja eine Menge Inspiration bieten, ist es immer wieder spannend für euch, wenn ich ein paar Usecases hier explizit aufzähle. Häufig fehlt mir die Zeit, da Dokumentation meist sehr aufwändig ist. Also blicken wir mal in ein konkretes Beispiel "Lohntransparenzgesetz 2026". Also, hört euch den Podcast an, da erhaltet ihr alle Infos, meine Meinung und den ein oder anderen Tipp.

On this episode, Dan and Donnie break down Google's new AI-powered tool, formerly known as Google SGE. They cover why the search giant is rolling it out, how it works and what you need to know about it to market your pest control or lawn care company more effectively. Hosts:  Dan Gordon, PCO Bookkeepers & M&A Specialists Donnie Shelton, Triangle Home Services

Heute sprechen Daniel Höhnke und Tim Schestag über das Beben durch die Veröffentlichung der beiden Forrester Waves für B2C und B2B zuletzt ergeben hat. Shopify wird nämlich nicht nur im B2C Bereich am höchsten gewertet, sondern springt direkt in den höchsten Bereich (Leader) im B2B Bereich. Vorbei an Adobe und Co. Kontrovers und daher natürlich das heutige Hauptthema. Aber auch die News der Woche haben es in sich. Hier sprechen wir über folgende Themen: - Die Google Ai Overviews (siehe Folge #129 Google SGE) wurden in den USA aus der Beta entlassen und verursachen in nur wenigen Tagen einen sichtbaren Effekt im E-Commerce. Europa wird folgen! - OpenAI hat GPT 4o vorgestellt mit einem beeindruckenden Sprachassistenten. Ist das E-Commerce relevant? Ja, denn laut einer repräsentativen Umfrage nutzen bereits 33% aller Deutschen ChatGPT und Co für Produktrecherchen! - Ein Pflichtevent im deutschen E-Commerce: Der Shopware Community Day. Spatial Commerce, KI und B2B haben dominiert. Aber vor allem (Achtung Eigenwerbung!) die durch Strix angestoßenen Shopware SaaS Themen und da vor allem die Enthüllung des neuen Shopware Extension Stores (von Strix gebaut) auf Basis von Shopware SaaS haben für runtergeklappte Kinnladen gesorgt. Unbedingt reinhören, denn eigentlich sind alle Themen es wert, dazu jeweils eine eigene Folge zu machen!

Hey Strangers, #google #Aioverview #technews Remember this leading search engine? You won't believe how Google looks now. Earlier this month, the place where 91 percent of searches take place underwent a significant change, putting “AI overviews” (aka AI-powered answers) above the actual search results for many queries. While this isn't good for publishers who rely on people clicking through to their sites in order to stay in business, it's even worse news for users. When AI overviews (previously called Google SGE) was in beta, I called it a plagiarism stew, because it copies ideas, sometimes word-for-word, from different content sites and stitches them together in ways that often don't make sense. Now that AI Overviews is live for U.S. users, that stew is often poisonous: filled with dangerous misinformation, laughable mistakes, or outright prejudice. ======================================= My other podcast https://www.youtube.com/channel/UCKpvBEElSl1dD72Y5gtepkw article links: https://timesofindia.indiatimes.com/technology/tech-news/this-may-be-the-reason-why-chatgpt-and-other-ai-tools-should-not-replace-tech-programming-jobs-as-of-now/articleshow/110426298.cms https://www.tomshardware.com/tech-industry/artificial-intelligence/cringe-worth-google-ai-overviews ====================================== Today is for push-ups and Programming and I am all done doing push-ups Discord https://discord.gg/MYvNgYYFxq TikTok https://www.tiktok.com/@strangestcoder Youtube https://www.youtube.com/@codingwithstrangers Twitch https://www.twitch.tv/CodingWithStrangers Twitter https://twitter.com/strangestcoder merch Support CodingWithStrangers IRL by purchasing some merch. All merch purchases include an alert: https://streamlabs.com/codingwithstrangers/merch Github Follow my works of chaos https://github.com/codingwithstrangers Tips https://streamlabs.com/codingwithstrangers/tip Patreon patreon.com/TheStrangers Timeline 00:00 intro 00:19 What are we talking about 1:59 Article6:54 Dumb searches 20:11 My thoughts 20:30 outro anything else? Take Care --- Send in a voice message: https://podcasters.spotify.com/pod/show/coding-with-strangers/message --- Send in a voice message: https://podcasters.spotify.com/pod/show/coding-with-strangers/message

How can you land big-name clients like Zendesk, Quora, Wordpress, and Shutterstock? And how can you shift to a better-paying structure as a consultant? Eli Schwartz reveals how coining the term "product-led" SEO and writing a book about it opened doors he never thought possible, why it's a mistake to charge by the hour instead of by the product, and why SEOs should be charging more than $100 per hour. He also discusses his 2024 predictions for Google SGE, ChatGPT as a search engine, and whether guest posts will pass any value in the eyes of Google. In this episode, we cover: (00:00) Introduction and Eli's background (02:15) Going Solo and Creating Product-Led SEO (18:16) Holistic SEO vs Product-Led SEO vs Programmatic SEO (24:42) Accepting Clients and Creating SEO Strategies (35:27) How Long Should Client Engagements Be? (39:39) Outbound Marketing and Client Acquisition (44:44) The Unexpected Success of Writing a Book (48:34) The Potential Impact of Google's SGE (56:39) Will ChatGPT Launch a Search Engne? (58:48) Will Google Announce That Guest Posts Pass No Value? (01:06:29) Does SEO Ever Change? (01:13:46) Company Size and Marketing Attribution Where to find Eli: LinkedIn: https://www.linkedin.com/in/schwartze X: https://x.com/5le Newsletter: https://productledseo.substack.com/ Website: https://www.elischwartz.co/ Where to find Tim: LinkedIn: https://www.linkedin.com/in/timsoulo/ X: https://x.com/timsoulo Website: https://www.timsoulo.com/

This week, Avram Piltch discusses his concerns about the use of AI to generate and present information as an arbiter of truth. He specifically talks about Google's AI overview, previously known as Google SGE, which has recently been rolled out to everyone in the United States. He expresses his strong feelings about the potential for AI-generated information to be misleading, especially when presented as authoritative facts without acknowledging differing viewpoints or ongoing legal disputes.AI-generated information can be misleadingHe gives an example of a search query about whether training data is considered fair use under US copyright law. The AI overview provided by Google confidently states that training AI models using publicly available internet materials is generally considered fair use. However, Avram points out that this statement is presented as a fact, without mentioning the ongoing lawsuits against OpenAI and the debate surrounding the issue.He highlights the danger of people trusting AI-generated information blindly, assuming that Google's answers are always correct. He emphasizes the importance of presenting information in a balanced and objective manner, acknowledging different perspectives and ongoing legal disputes.Customize search results with an extensionAvram has created a browser extension that allows users to skip the AI-generated answers and get right to the results. The extension, called Bye Bye, Google AI uses CSS manipulation in order to suppress the AI areas of the search results. This approach allows the extension to work without the user having to do anything special.One of the key benefits of customizing search results with CSS is the ability to personalize the browsing experience and filter out irrelevant or distracting content. Avram discusses how he was inspired to create his own browser extension after seeing another extension that allowed users to hide elements on Google search results pages. By developing his own extension, He was able to provide users with more options for customizing their search experience and tailor the results to their liking.However, Avram also acknowledges the limitations of using CSS to customize search results. He notes that Google can update its algorithms at any time, potentially breaking the functionality of his extension and causing unexpected issues, such as making certain elements disappear from the page. Despite these challenges, he remains committed to refining his extension and addressing any issues that may arise, demonstrating his dedication to providing users with a valuable tool for customizing their search experience.Avoid AI by using web tabAvram discusses the issue of AI-generated search results and offers a solution for those who prefer to avoid them. He introduces the concept of the "web tab," which presents search results in a more traditional format without AI-generated content such as featured snippets, videos, and discussions. He acknowledges that while AI technology can be helpful, it is not always accurate or reliable, leading some users to seek alternatives.He also provides a workaround for accessing the web tab directly without the need for his extension. By creating a custom search engine in the browser settings with the parameter "UDM=14," users can bypass AI-generated search results and go straight to the web tab. This allows users to access a more traditional search experience without the influence of AI-generated content.However, Avram notes that this solution may not be as easily accessible on mobile devices, as popular mobile browsers like Chrome and Safari do not offer the same customization options for search engines. While Firefox does provide a feature for adding custom search engines, users of other mobile browsers may have limited options for avoiding AI-generated content.AI-generated search results can be misleadingAI-generated search results can be misleading. Avram discusses his experiences with AI-generated search results and highlights the potential for misinformation and inaccuracies to be presented as authoritative truth. He notes that AI-generated responses may not always provide accurate information and can sometimes offer questionable advice or opinions.One example Avram mentions is receiving conflicting advice on how to prevent or cure kidney stones, with some responses suggesting drinking urine as a remedy. This highlights the potential dangers of relying on AI-generated information without proper verification or critical thinking. Additionally, he discusses instances where AI-generated responses offer incorrect or potentially harmful advice, such as recommending opening a camera to remove stuck film.Furthermore, Avram points out that AI-generated responses may not always consider differing viewpoints or present information in a balanced manner. For example, in cases where there is controversy or debate, AI may present a single opinion as fact without acknowledging opposing perspectives. This can lead to a skewed presentation of information and misinform users who rely on AI-generated search results.Overall, Avram's discussion underscores the importance of being critical consumers of information and questioning the reliability of AI-generated search results. While AI technology has the potential to provide valuable insights and assistance, it is crucial for users to verify information, consider multiple sources, and exercise caution when relying on AI-generated responses. By being aware of the limitations and potential pitfalls of AI-generated search results, users can better navigate the digital landscape and avoid falling victim to misinformation and inaccuracies.For more information on AI in Google Search, check out Avram's full article.

Du lernst, wie du deinen Content so optimierst, dass du die Trefferchance in Google SGE und Chatbot-Antworten aufzuscheinen, erhöhst.

Google SGE (Search Generative Experience) ist noch nicht in Europa verfügbar, aber verändert die Google Suche gerade für den E-Commerce in vielen Ländern der Welt (z.B. USA, Indien oder Japan) schon drastisch. Die beiden Podcast Hosts Daniel Höhnke und Tim Schestag sprechen über erste Studienergebnisse, wie sich Suchverhalten und damit auch die Traffic Sources Google Organic und Google Paid verändern können auch bei uns. Auch gehen die beiden auf die OnPage Faktoren ein, die auf Händler und Brands zukommen kann. Und die sind nicht ohne... In den News der Woche: - Getir und Gorillas stellen Geschäft in Deutschland ein - TikTok plant Start der Shopping App für die 2. Jahreshälfte in Deutschland - Amazon macht das Suchen von Produkten von Instagram möglich - Strix auf dem Shopware Community Day. Jeder mit Ticket kann sich auf eine Präsentation sondergleichen freuen, wo wir auch noch eine (positive) Bombe platzen lassen werden

Im SEO-Monatsrückblick für den April 2024 stelle ich 12 aktuelle SEO-relevante Themen vor: Welche Neuigkeiten und Gerüchte gibt es in Sachen SGE? Was gilt es in Bezug auf Content-Strategien zu beachten? Das und viel mehr gibt's hier in komprimierter Form. Shownotes (Links auf die 12 Themen + Stichpunkte zu den Neuerungen): https://bloo.link/sc318

Du lernst, wie du deinen Keyword-Recherche-Prozess für Google SGE, andere KI-erweiterte Suchmaschinen und Chatbots weiterentwickelst.

How will Google's Search Generative Experience change the way brands appear in Google's search results? One member of the TREW Crew has been in the SGE beta for more than a year. Let's see what she's found outIn this episode, I catch up with Jennifer Dawkins, Vice President of Account Services at TREW Marketing, Jen has been part of the Beta program for Google's new Search Generative Exoereince (SGE) for more than a year and in that year, there have plenty of updates. I ask her about her experience with the SGE program program.For some background, Google's SGE is an AI-generated search summary that appears on the Google homepage, providing quick, AI-generated answers to users' queries. Jennifer shared that SGE has been valuable for finding clear factual answers and quick information, but has been less than accurate when asking, technical or complex questions. Often pulling from sources that are not traditionally high-ranking in Google search results.We also talk about how brands can optimize their content strategy for Google SGE and other AI-assisted search tools. The bottom line? Quality content and a multi-channel digital presence are the most effective strategies. The rollout of SGE to the general public is still uncertain, and we believe that traditional Google search and quality SEO standards  will continue to coexist with AI-assisted search platforms like SGE.Key TakeawaysSGE provides quick answers and summaries for factual queries, but may provide inaccurate or misleading information for more complex and technical searches.A multi-channel digital presence is crucial for optimizing for AI-assisted search, as AI algorithms consider the frequency of brand mentions across various platforms.Quality content remains essential, and creating valuable, trustworthy content is key to gaining exposure and building trust with readers.Traditional Google search will likely coexist with AI-assisted search platforms like SGE, as they serve different purposes and cater to different user needs.ResourcesConnect with Jen on LinkedInConnect with Wendy on LinkedInRelated Episode: Optimizing for LLMs and Google's Search Generative Experience (SGE) with Dale BertrandRelated Episode: Updating You 2024 & 2025 SEO Strategy with Kyle Roof

Fri, 12 Apr 2024 14:06:05 +0000 https://podcast552923.podigee.io/302-neue-episode f159d7d6ac8dd56f3715937719440016 Die Tipps und Ratschläge von Googlern wie Danny Sullivan oder John Müller werden oftmals missverstanden oder falsch wiedergegeben. Das kann zu Frust führen. Sie sind eine der wichtigsten Informationsquellen für viele SEOs und Website-Betreiber: Mitglieder des Google Search Central Teams und weitere Googler, die Auskünfte und Tipps rund um Suche und SEO geben. Zu ihnen gehören zum Beispiel John Müller und Danny Sullivan. Doch leider werden ihre Antworten nicht immer richtig verstanden oder korrekt interpretiert. Und das hat zuletzt zu einigem Frust bei den Betreffenden geführt. Google SGE bzw. die KI-Antworten von Google sind jetzt auch in Großbritannien verfügbar - zumindest für ausgewählte Nutzer und Suchanfragen. Bisher hatte Google seine neue Suche nicht in Europa ausgespielt. Google testet eine Rückkehr zu Suchergebnissen ohne separate Anzeige des Website-Namens. Entsprechende Ergebnisse in der mobilen Suche wurden jetzt gesichtet. Spielt EEAT für bestimmte Suche-Features und für die KI-Antworten in der Suche keine oder nur eine untergeordnete Rolle? Manche Suchergebnisse für sensible Themen lassen zumindest darauf schließen. full Die Tipps und Ratschläge von Googlern wie Danny Sullivan oder John Müller werden oftmals missverstanden oder falsch wiedergegeben. Das kann zu Frust führen. no

Sat, 06 Apr 2024 07:04:51 +0000 https://podcast552923.podigee.io/301-neue-episode 659fa1ab29813b70cb271a12d80d7d95 Möglicherweise wird Google sein Geschäftsmodell ändern und Premium-Features der Suche nur für bezahlende Kunden anbieten. Das könnte auch für Google SGE gelten. Googles neue KI-Suche, die unter dem Namen "SGE" bekannt ist, könnte exklusiv für bezahlende Kunden kommen. Das hätte für Google einige Vorteile: zusätzliche Einnahmen und den Schutz des Anzeigengeschäfts. Für Website-Betreiber könnte das die Auswirkungen der Umstellung auf den Suche-Traffic begrenzen. Google Updates bewerten nicht die Veränderungen zum vorherigen Stand von Websites, sondern nur den jeweils aktuellen Stand. Das bedeutet, dass selbst spürbare Verbesserungen nicht den gewünschten Effekt bringen, wenn die Konkurrenz nach wie vor besser ist. Google zeigt in letzter Zeit vermehrt Foreninhalte auch für sensible Themen wie Gesundheit und Medizin in den Suchergebnissen an. Für die Bewertung von Helpful Content durch Google sind sowohl einzelne Seiten als auch die gesamte Website wichtig. full Möglicherweise wird Google sein Geschäftsmodell ändern und Premium-Features der Suche nur für bezahlende Kunden anbieten. Das könnte auch für Google SGE gelten. no Christian Kunz

Sat, 30 Mar 2024 18:08:45 +0000 https://podcast552923.podigee.io/300-neue-episode c22fdbe05f5acc7d0536521565072b9b Es gibt Gerüchte, Google könne schon am 14. Mai die bestehende Suche durch die neue KI-Suche 'SGE' ablösen. Was bedeutet das für Website-Betreiber und SEOs? Es ist möglich, dass Google bereits am 14. Mai, passend zur dann stattfindenden Google I/O, auf die neue Suche "SGE" umstellen wird. Vermutlich wird dies jedoch zunächst nur einen kleinen Teil der Suchanfragen betreffen. Google zeigt die sogenannten Top Ads jetzt nicht mehr nur oberhalb der organischen Suchergebnisse an, sondern auch dazwischen. Die Dokumentation wurde entsprechend angepasst. Verwendet Google das Alter der Website und einen plötzlichen Anstieg der Sichtbarkeit als Signale für Helpful Content? Bisher gibt es kaum Websites, die beim Google Helpful Content Update vom September verloren haben und die beim laufenden Core Update ihre Verluste ausgleichen konnten. full Es gibt Gerüchte, Google könne schon am 14. Mai die bestehende Suche durch die neue KI-Suche 'SGE' ablösen. Was bedeutet das für Website-Betreiber und SEOs? no Christian Kunz

This week we covered that Google is now testing SGE in the wild for a small subset of US users. Google is begging SEOs to stop doing SEO for Google...

Welcome to the Dojo, the podcast where we turn marketing news into marketing tasks. This week, we've no Tim, but we still have several marketing stories, including: - Google Has Launched the Search Generative Experience (Kinda) - Branding Lessons from Impossible Foods Switch from Green to Red - Implications for Marketers after Reddit's IPO Timestamps 00:00 Welcome to the Dojo 01:13 Story 1 - Google Has Launched the Search Generative Experience (Kinda) 19:59 Story 2 - Branding Lessons from Impossible Foods Switch from Green to Red 33:57 - Upcoming Video Sneak Peak 25:25 Story 3 - Implications for Marketers after Reddit's IPO 37:15 - The Tasks Get a FREE review of your website https://exposureninja.com/rpod/review/ Get the show notes https://exposureninja.com/podcast/dojo-10/ Watch the podcast recording on YouTube: https://exposure.ninja/dojo-10 You May Also Enjoy… “Be Cheekier with Your Marketing” I ft. Lauren Cressey https://exposureninja.com/podcast/dojo-9/ Create Content That Serves Your Target Customers | ft. Dale Davies https://exposureninja.com/podcast/dojo-8/ How Clear Brand Purpose Helps Your Marketing | ft. Ali Newton & Karl Hughes  https://exposureninja.com/podcast/dojo-7/ “Authentic Personal Branding Fuels MEGA Growth” | ft. Charlie Marchant https://exposureninja.com/podcast/dojo-6/ “Use Co-Branding To Increase Your Reach” | ft. Gemma Keighery https://exposureninja.com/podcast/dojo-5/ “The DMA is Bigger Than GDPR” | ft. Andy Tuxford https://exposureninja.com/podcast/dojo-4/    

Sat, 23 Mar 2024 20:56:24 +0000 https://podcast552923.podigee.io/299-neue-episode 5c6cbc6fc3396a7d9c58f5b8a05441a4 Ein paar Handgriffe genügen nicht, um Helpful Content zu schaffen. Das gilt sowohl für ein Inhaltsverzeichnis als auch für den Hinweis, die Inhalte seien von Experten überprüft worden. Es bringt nichts, Dinge in eine Website einzubauen, nur weil man irgendwo gehört hat, dass Google das gut finde. Danny Sullivan hat nun einige Beispiele für solche vermeintlichen Ranking-Booster genannt und noch einmal erklärt, was wirklich unter Helpful Content zu verstehen ist. Google zeigt jetzt ein neues Filter-Paar auf den Suchergebnisseiten an: Produkte und Produkt-Websites. Während man unter dem Produkte-Filter klassische Onlineshops finden kann, erscheinen unter dem Filter für Produkt-Websites aktuell nur große Preisvergleich-Websites. Google plant eine nahtlose Integration von Ads in die Ergebnisse von Google SGE. Das soll neue Möglichkeiten zur Ausspielung von Anzeigen bieten. Gleichzeitig zeigt Google erstmals KI-Antworten auch außerhalb von Google SGE an. Ein neuer Filter für Foren auf den Suchergebnisseiten von Google enthält Ergebnisse von Reddit, Quora und anderen Foren. Der bisherige "Perspectives"-Filter entfällt. Das Google Spam-Update vom März ist abgeschlossen. Sobald auch das Google Core Update vom März abgeschlossen ist, wird Google ein Feedback-Formular zur Verfügung stellen, um die Auswirkungen der Updates zu bewerten. full Ein paar Handgriffe genügen nicht, um Helpful Content zu schaffen. Das gilt sowohl für ein Inhaltsverzeichnis als auch für den Hinweis, die Inhalte seien von Experten überprüft worden. no Chri

Pour ce 45e numéro du Wamcast, nous nous (re)penchons sur le sujet du SEA. Tendances actuelles, arrivée de Google SGE, essor de l'IA, synergies avec le SEO, rentabilité : nous vous proposons un état des lieux complet du SEA en 2024.Pour échanger sur ce sujet, aux côtés de David Eichholtzer, fondateur et dirigeant de l'Agence WAM, nous recevons un invité : Jérémy Lacoste, Responsable Acquisition, Web Analyse & CRM Marketing chez Meilleurtaux. Mais aussi créateur et animateur du podcast Déclick.

Entdecke 3 fortgeschrittene Schritte, um in Google SGE zu glänzen. Optimiere jetzt mit unserer Experten-Checkliste!

Gearing Up for SGE  Welcome back local SEO specialist and COO at Search Lab Greg Gifford. This week Greg joins host Erin Sparks to uncover the myths about local SEO and frequent challenges haunting business owners. Learn the common mistakes small business owners need to keep an eye on while setting up their Google Business Profile, and to wrap it all up Greg & Erin close with some highly necessary SGE talk. It's time to master your SEO at a local level this week on the EDGE of the Web!     Key Segments: [00:03:13] Introducing Greg Gifford [00:06:08] Challenges and Myths of Local SEO  [00:14:25] EDGE of the Web Title Sponsor: Site Strategics [00:14:59] Issues with the Google Appeal Process  [00:19:04] Flaws in Google Business Profile  [00:33:17] When are we going to see Google SGE?  [00:45:37] EDGE of The Web Sponsor: Wix [00:46:47] What Does the Spike in Organic Traffic Loss Tell Us?  Thanks to Our Sponsors! Site Strategics: http://edgeofthewebradio.com/site   Wix: http://edgeofthewebradio.com/wix Follow Our Guest Twitter: https://twitter.com/GregGifford LinkedIn: https://www.linkedin.com/in/greggifford/

Today we witness an unprecedented meeting of minds as leaders from Perpetual Traffic and Marketing School, Ralph Burns, Eric Sue, Neil Patel, and Kasim Aslam, come together for a comprehensive discussion on the future of digital marketing. This episode transcends the typical discourse, venturing into the depths of marketing strategy evolution, where the boundaries between performance marketing and brand development begin to merge into innovative new practices. The quartet explores the multifaceted nature of SEO, content strategy, and the digital agency ecosystem, offering nuanced insights into adapting to algorithm changes, optimizing content to engage the desired audience, and converting challenges into opportunities for strategic growth. This conversation serves as an invaluable resource for professionals within the digital marketing sphere, from agency veterans to emerging marketers. It's a strategic guide illuminated by the expertise and humor of its participants, promising to both educate and inspire listeners towards actionable innovation in their marketing endeavors. Join us for this masterclass episode that not only aims to inform but also to invigorate your marketing approach with fresh perspectives and expert guidance.Chapters:00:00:00 - Kickoff: Unveiling the Digital Marketing Titans' Summit00:01:51 - Peering into Tomorrow: Redefining Marketing Agencies00:03:04 - The Titans Converge: A Groundbreaking Podcast Fusion00:07:15 - Agency Evolution: Navigating Through Digital Transformations00:13:35 - Forecasting Value: Agencies' Role in the Next Digital Decade00:18:39 - Tech's Tectonic Shifts: Revolutionizing Marketing Strategies00:23:55 - Competitive Edge: Mastering the Market's Maze00:25:50 - The Podcast Purchase Path: A Tale of Tactical Acquisition00:26:37 - Deal Dynamics: The Fine Art of Negotiation Unveiled00:28:57 - Amplifying Influence: Podcasting's Pivotal Role in Modern Business00:34:35 - AI's Creative Canvas: Transforming Content Generation00:41:12 - Branding vs. SEO: Charting the Course Towards Holistic Performance00:47:16 - United We Stand: The Unstoppable Force of Marketing CollaborationLINKS AND RESOURCES:Tier 11 JobsPerpetual Traffic on YouTubeTiereleven.comSolutions 8 Perpetual Traffic SurveyPerpetual Traffic WebsiteFollow Perpetual Traffic on TwitterConnect with Kasim on Twitter and Connect with Ralph on LinkedInThanks so much for joining us this week. Want to subscribe to Perpetual Traffic? Have some feedback you'd like to share? Connect with us on iTunes and leave us a review!

In dieser Folge sehen wir uns gemeinsam an, wie wir uns auf Google SGE am besten vorbereiten können und sogar von unserer Arbeit profitieren, wenn es niemals ausgerollt wird.

Olaf Kopp und Markus Hövener haben auch diesmal wieder vier Themen im Gepäck. Wer nutzt Tiktok anstelle von Google - und warum? Sind die Google-Suchergebnisse wirklich schlechter geworden? Welche Auswirkungen wird die neue Google SGE haben? Ist E-E-A-T ein Ranking-Faktor? Hier sind die Themen im Überblick: Ab 02:35: https://www.adobe.com/express/learn/blog/using-tiktok-as-a-search-engine  Ab 14:30: https://www.seo-suedwest.de/9143-studie-bestaetigt-dass-die-google-suchergebnisse-schlechter-geworden-sind.html  Ab 20:35: https://www.authoritas.com/blog/research-study-the-impact-of-googles-search-generative-experience-on-ranking  Ab 29:26: https://developers.google.com/search/docs/fundamentals/seo-starter-guide?hl=en  Dieser Podcast:http://www.omcafe-podcast.de/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/omcafe/message

Sun, 04 Feb 2024 10:37:36 +0000 https://podcast552923.podigee.io/292-neue-episode c0a0acdcdae9193273aa0affbb0f4494 Was wir vom bereits laufenden Jahr 2024 erwarten können, und zwar nicht nur aus SEO-Sicht, habe ich gemeinsam mit Markus Hövener und Stefan Godulla besprochen. Zum Beginn eines Jahres ist es üblich, einen Ausblick auf das zu wagen, was uns erwarten könnte. Dass SEO bei Weitem nicht alles ist, darüber sind sich Markus Hövener, Stefan Godulla und ich einig. In dieser Sonderausgabe von "SEO im Ohr" erhaltet ihr Einblicke in das, was wir aus SEO-Sicht erwarten, aber auch, was uns ansonsten bewegt. Natürlich sprechen wir auch über aktuelle Themen wie KI, Google SGE und die Qualität der Suche. Aber auch persönliche Belange und Pläne sind in unser Gespräch eingeflossen. Danke an Markus und Stefan für das offen und schöne Gespräch! full Was wir vom bereits laufenden Jahr 2024 erwarten können, und zwar nicht nur aus SEO-Sicht, habe ich gemeinsam mit Markus Hövener und Stefan Godulla besprochen. no Christian Kunz

"Une recherche Google générée par l'IA est une excellente chose. Il n'y jamais eu autant d'opportunité en SEO !"Pendant que tout le monde flippe sur la disparition de leur site avec l'IA de Google,Vincent te dit que c'est la meilleure chose qui puisse t'arriver.Fondateur de la startup DNG et ex-directeur SEO de grands groupes, Vincent a une approche mathématique et DATA du SEO.Et ses calculs sont unanimes : il n'y a jamais eu autant d'opportunités en SEO qu'en 2024, pour ton site et tes clients ! Dans cet épisode de Biz'Care, Vincent te dit exactement :D'anticiper les requêtes proposées par Google SGEDe récupérer les contenus qu'il mettra en avantDe mettre au service de ton site et/ou de ton client.Utiliser SGE pour faire rayonner tes clients à l'échelle localeComment tu devras adapter ton métier et tes analysesPas de blabla, que du concret actionnable !C'est une véritable MASTERCLASS que donne Vincent. D'habitude, il fait payer tout ça ;-)Pour le remercier pour sa générosité, lâche ton like + commentaireHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

Im SEO-Monatsrückblick für den Januar 2024 stelle ich 12 aktuelle SEO-relevante Themen vor: Welche neuen Suchfunktionen hat Google vorgestellt? Welche neuen Daten zur Google SGE gibt es? Welche empfehlenswerten SEO-GPTs gibt es? Das und viel mehr gibt's hier in komprimierter Form. Shownotes (Links auf die 12 Themen + Stichpunkte zu den Neuerungen): https://bloo.link/sc307

In this episode of the Tradigital Tourism Insights, a podcast by Digital Relativity, host Pat Strader discusses the implications of Google's Search Generative Experience (SGE) on SEO strategies, predicting a drop in organic search traffic due to SGE's focus on AI-driven search results. He emphasizes the need for marketers to adapt to this shift and prepare for these changes. Pat also highlights the importance of content in SEO and advises marketers to delve deep into creating unique and useful content. The episode further examines the challenges marketers face when measuring ad success and resolving identity due to the deprecation of third-party cookies and increasing privacy laws. He suggests turning to alternative identifiers and prioritizing first-party data collection. The host also highlights the Inspired by Iceland campaign called "OutHorse Your Inbox." This episode also includes the American Travel Sentiment Survey findings regarding travel plans and perceptions. Overall, it provides insights and recommendations for marketers in the travel and tourism industry.00:12 Introduction to Tradigital Tourism Insights00:59 Understanding Google Search Generative Experience (SGE)https://searchengineland.com/google-sge-links-organic-search-results-study-43627503:16 Implications of SGE on SEO and Organic Traffichttps://www.authoritas.com/blog/research-study-the-impact-of-googles-search-generative-experience-on-rankings10:15 Tech Spotlight: Ad Measurement and Identity Resolutionhttps://www.insiderintelligence.com/insights/guide-ad-measurement-id-resolution/15:58 Destination Spotlight: Creative Campaigns in Travel and Tourismhttps://www.visiticeland.com/outhorse-your-email/https://www.oneclub.org/awards/theoneshow/-award/49342/outhorse-your-emailhttps://www.newsweek.com/iceland-trots-out-service-that-lets-horses-reply-work-emails-while-youre-vacation-1709730https://www.digitaltrends.com/news/icelandic-horse-write-out-of-office-emails/https://www.smartcompany.com.au/industries/tourism/icelandic-horse-write-out-of-office-email/https://www.adsoftheworld.com/campaigns/outhorse-your-email20:59 Research Roundup: American Travel Sentiment Surveyhttps://longwoods-intl.com/news-press-release/american-travel-sentiment-study-wave-81https://covid19.milespartnership.com/

Im Podcast spreche ich mit Philipp Götza über die Google SGE. Was erwartet uns, welche Herausforderungen gilt es zu meistern? Wie kann man sich vielleicht vorbereiten und welche Geschäftsmodelle werden sich durch die neue Google-Suche verändern? Weitere Informationen findet ihr ansonsten auch unter www.seosenf.de

In dieser Folge tauchen wir tief in das Thema Google SGE ein und beleuchten, was SEO Manager, Online Marketing Manager und Affiliate-Einzelkämpfer darüber wissen sollten.

Welcome back! We're here with another episode of the Niche Pursuits News Podcast, where Spencer and Jared highlight what's happening in SEO, content creation, website creation, and beyond.  Listen in if you want to hear the latest about Google, SGE, unique side hustle strategies, and some weird niche sites. The first news item this week that Spencer and Jared discuss is a recent report that says that Google's results are getting worse. It's based on a year-long study of product review queries.   How did Google respond? What exactly did the study assess to come to this conclusion? And what do they consider “low quality?” Spencer and Jared have many thoughts on this topic, so tune in to find out whether they think it's legit or not. The next topic up for discussion is Google's SGE. A recent article states that 94% of Google SGE links are different from organic search results. So now we have about 10 links in the SGE results plus another 10 from organic search and most are not the same.  What does this mean for publishers? Is this good news or bad news? How does this affect you if you're ranking first in the organic results but have an SGE pack ahead of you? And what does this mean for you if you're not appearing in organic results? Are there 2 different standards at play here? Talk about Google SGE continues when Spencer and Jared discuss an article about the impact of SGE by industry, which reveals that the sector most impacted by the SGE is healthcare as those queries have triggered the most responses. In contrast, finance is at the bottom of the list. What's interesting about the difference in performance between these YMYL niches? And what conclusions do Spencer and Jared come to as they analyze the SGE performance statistics by industry?  As for Shiny Object Shenanigans, Spencer goes first and talks about his new YouTube channel, where all of his podcast episodes will now live. Although he was initially worried that people wouldn't be able to find the channel, he was pleasantly surprised to see that the first episode published there got over 1200 listens in just over 24 hours. With over 350 subscribers already, Spencer's confident that he made the right decision to separate the channels and that people will still be able to find the podcast episodes. When it's Jared's turn, he talks about a strategy he's using for his Weekend Growth newsletter that's allowing him to increase his agency business by providing a new service. Essentially it's a side hustle on top of a side hustle! It's definitely an idea that anyone with their own email list and business can adapt to their niche. He also gives an interesting update on the Amazon Influencer Program and his family. Check out the episode to hear the latest developments. When it comes to Weird Niche Sites this week, Spencer comes with a sub-niche of a niche with his site: The Arcade Stick. Arcade sticks can be customized and plugged in just about anywhere. The site, which is just a DR8, could be getting around 100k visitors per month, which is pretty interesting considering how niche it is, plus It's monetized on Mediavine. When it's Jared's turn, he shares a site called Emoji Combos. Although it's in beta, it still works perfectly. This DR43 site ranks for 140k keywords and gets over a million organic visits per month.  What unique keywords is it ranking for? How is the site monetized? And how much money do they think the site is making per month? And that brings us to the end of another episode of the Niche Pursuits News Podcast. Now you're caught up on all the latest SEO news and, hopefully, you're feeling inspired and motivated to continue to work on your side hustles. See you next Friday!  Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links? Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper Get SEO Consulting from the Niche Pursuits Podcast Host, Jared Bauman: https://www.nichepursuits.com/201creative

Aujourd'hui, je vous parle de l'arrivée de Google SGE. La prochaine évolution intelligente du moteur de recherche va tuer tout ce qu'on a fait jusque-là et tout ce qu'on était jusque-là. Quelle est la suite ? --- Send in a voice message: https://podcasters.spotify.com/pod/show/enbaladeavecholy/message

Hosts Mike Kaput and Paul Roetzer catch up in another episode of The Marketing AI Show, in a busy week where there was no shortage of AI news. OpenAI stays in the news with ChatGPT team subscriptions rolling out (which Paul signed our team up for) and GPT Store. Rabbit hit the news, and quickly sold out. And there's much more in the rapid-fire section of the podcast, so be sure to tune in! 00:03:25 — OpenAI debuts ChatGPT subscription aimed at small teams 00:20:03 — Introducing the GPT Store 00:30:08 — Rabbit sells out 10,000 units of its R1 pocket AI companion in one day 00:46:57 — OpenAI and journalism 00:50:24 — OpenAI in content licensing talks with CNN, Fox and Time 00:51:58 — 94% of Google SGE links are different from organic search results, study finds 00:55:58 — Duolingo Cuts 10% of Contractors as It Uses More AI to Create App Content 00:57:03 — Google removes 17 features from Google Assistant and conducts layoffs 00:58:03 — Generative AI isn't a home run in the enterprise 01:00:55 — Quora raises $75M from Andreessen Horowitz This episode is brought to you by BrandOps:  Many marketers use ChatGPT to create marketing content, but that's just the beginning. When we sat down with the BrandOps team, we were impressed by their complete views of brand marketing performance across channels. Now you can bring BrandOps data into ChatGPT to answer your toughest marketing questions. Use BrandOps data to drive unique AI content based on what works in your industry. Visit brandops.io/marketingaishow to learn more and see BrandOps in action. Today's episode is also brought to you by Marketing AI Institute's AI for Writers Summit, happening virtually on Wednesday, March 6 from 12pm - 4pm Eastern Time. Following the tremendous success of the inaugural AI for Writers Summit in March 2023, which drew in 4,000 writers, editors, and content marketers, we are excited to present the second edition of the event, featuring expanded topics and even more valuable insights. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute

No episódio 172 falamos do Google SGE, Consentimento para Google Ads, Twitch  Episódio de: Download do podcast   [RAPIDINHAS, NOTÍCIAS DA SEMANA QUE ACHAMOS RELEVANTES]   A TikTok lançou novas ferramentas de medição de desempenho de anúncios A Microsoft Ads revelou mudanças importantes na gestão de anúncios de hotéis e propriedades O Google está a permitir que […] O conteúdo Google SGE, Consentimento para Google Ads, Twitch e muito mais – e172s01 aparece primeiro em Podcast Marketing por Idiotas.

In this episode, Gartner researchers Jessica Dervyn and Wilson Zhao join to discuss the impact of generative AI on search marketing. The discussion includes how the changes in the search landscape are driving a decrease in brand visibility on Google SERP, challenging brand website traffic from organic search. Consumer search behavior is constantly changing, and Google SGE (Search Generative Experience) further transform how consumers search and receive information. Digital marketing leaders must experiment with Google SGE, monitor top-performing content, and strategically refine onsite content for optimal engagement and differentiation in this evolving GenAI area.Jessica Dervyn is a researcher in the Digital Performance Benchmarking team. She leverages her digital expertise and experience along with Gartner data to write valuable research for CMOs and digital marketing leaders.Wilson Zhao is a digital advisor at Gartner for Marketer with coverage in consumer retail (i.e. beauty, luxury, activewear, CPG) in the APAC and U.S. market. He provides data-driven market insight, performance benchmarking, competitive analysis, and growth strategy to C-suite clients at major global consumer brands.

Why are emerging content trends important for SEO? What specific content trends should you pay the most attention to? How are content trends perceived in the eyes of Google?  This week, Wix's Mordy Obertein and Crystal Carter examine the role of emerging content trends in SEO.  Joining the show is the founder of Black Truck Media, Jason Dodge, and the founder of Organic Growth Marketing, Nigel Stevens to share their thoughts on the evolving content landscape and what it means for ranking on the SERP. Hop in the ol' Delorean as we're going back to the future this week to identify emerging content trends and their SEO impact with this week's episode of the SERP's Up SEO Podcast! Key Segments [00:02:08] What's On This Episode of SERP's Up? [00:03:34] Focus Topic Guest: Nigel Stevens, Jason Dodge [00:04:33] Focus Topic of the Week: Emerging Content Trends [00:36:09] Fun With People Also Ask  [00:40:37] Snappy News [00:47:01] Follow of the Week Hosts, Guests, & Featured People: Mordy Oberstein Crystal Carter Nigel Stevens Jason Dodge Kelsey Jones Resources: SERP's Up Podcast Wix SEO Learning Hub Searchlight SEO Newsletter Wix Studio Wix Studio YouTube Black Truck Media OGM Marketing Unsolved SEO Mysteries News: 94% of Google SGE links are different from organic search results, study finds Research Study - The Impact of Google's Search Generative Experience on organic rankings Wharton Professor, Ethan Mollick, On The Decay Of Internet Search

 What Should Businesses Do About Google SGE?Google has not yet announced any concrete plans for the future of Search Generative Experience (SGE), and it is unclear how it will evolve in the coming years. SGE is still in its early, very crude stages and it is not yet known how it will impact search traffic. Many SEOS reacted with fear and loathing but in the end the impact of SGE may in fact be minimal. However, businesses can start to experiment with SGE by:Triggering SGE to appear by default.Optimizing the content on their websites to appear in SGE results.Monitoring the rankings of their websites in SGE results to see how they are affected.Businesses should be cautious about heavily investing in or relying on SGE until it's more developed. The uncertainty surrounding its development and Google's missed deadline indicates a need for businesses to stay informed and adaptable.Google Goes All in On Interstitials on the iPhone:  Google, has long penalized interstitials as bad for user experience particularly when used on the mobile web to get people to convert to an app. There is no little irony that Google has now started doing just that on the iPhone when a user has Google search set as the default - nagging the user to switch to the Google App or Chrome for the iPhone. The fact that Google has been reduced to doing what they have long criticized implies that they think they will lose the DOJ Default Search Engine case and are running scared about losing iPhone market share.Where is Bard Going?A Bard product manager asked Reddit users for feature suggestions for Bard, leading to numerous responses. Participants noted that some requested features, such as document upload and image generation, are already available in ChatGPT. They anticipate these features will be added to Bard in 2024.  The types of features requested by users—ranging from specific functionalities like coding assistance to more nuanced content moderation—sheds light on the diverse and evolving needs of users.The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.near memo ep 140Subscribe to our 3x per week newsletter at https://www.nearmedia.co/subscribe/

Google's SGE (Search Generative Experience) is on the brink of revolutionizing the search industry. In this episode, we reveal the potential impact of Google SGE on website traffic and offer a few insider tips on optimizing content for this latest search feature and staying ahead in the SEO game. -=-=-=-=- Tools & resources discussed in this episode: Google SGE - https://labs.google/sge/ (as explained by Google) Semrush - Try Semrush Pro free for 14 days: https://www.99signals.com/semrush/ -=-=-=-=- BONUS RESOURCES + FREE DOWNLOADS If you're a fan of the podcast, here are some FREE online marketing resources from my blog, 99signals, to help you level up your marketing skills: ⁠⁠⁠⁠The Ultimate Blogging Toolkit⁠⁠⁠⁠ (⁠⁠⁠⁠https://ebooks.99signals.com/blogging-toolkit⁠⁠⁠⁠) - This eBook features 75+ marketing tools to help you blog better and boost your traffic! ⁠⁠⁠⁠The Ultimate Guide to Link Building⁠⁠⁠⁠ (⁠⁠⁠⁠https://resources.99signals.com/link-building-ebook⁠⁠⁠⁠) - Learn 25 powerful strategies to build high-quality backlinks, improve search engine rankings, and drive targeted traffic to your site. ⁠⁠⁠⁠The Essential Guide to Link Building with Infographics⁠⁠⁠⁠ (https://resources.99signals.com/infographic-backlinks-pdf) -  Did you know you could build high-quality, authoritative backlinks with well-designed infographics? This PDF guide will show you how you can easily design an infographic and quickly build high-quality backlinks to supercharge your SEO. ⁠⁠⁠⁠Top-rated articles at 99signals⁠⁠⁠⁠ (⁠⁠⁠⁠https://www.99signals.com/best/⁠⁠⁠⁠) -  This page contains a list of all the top-rated articles on my blog. It's a great place to get started if you're visiting 99signals for the first time. -=-=-=-=- Visit ⁠⁠⁠⁠https://www.99signals.com⁠⁠⁠⁠ for more insights on SEO, blogging, and marketing. --- Send in a voice message: https://podcasters.spotify.com/pod/show/sandeep-mallya/message

If you've never put much thought into gifts, maybe it's time to ponder the influence and effect of a perfectly personalized present. And, how did the guys' resolutions go last year? Eh… you'll see.  _____________________________________________________________________ Unexpected, unnecessary gifts can be pretty darn impactful, and they might just be an awesome way to express your esteem for a valued professional peer. Gyi and Conrad encourage listeners to forgo the pears and apples and consider a thoughtful, personalized gifting strategy that truly shows others you care. Next, the guys answer a listener question on Google SGE. What are its long-term prospects? Will it play a role in Search? Gyi and Conrad hash out their prognostications.  It seems we love to hate ourselves for failing miserably at New Year's resolutions. The guys share their successes and lack thereof on 2023's personal, professional, and podcast goals, and talk about their bright, shiny hopes for 2024.  The News: Take that, robocallers/texters! The FCC has adopted new rules closing 'lead generator" loopholes. Is print coming back? Great Legal Marketing has an excellent print newsletter, so maybe, just maybe, you should consider one as well.  Mentioned in this Episode: Ask a question—get some swag! Leave Us an Apple Review  Lunch Hour Legal Marketing now on YouTube  Lunch Hour Legal Marketing on TikTok

If you've never put much thought into gifts, maybe it's time to ponder the influence and effect of a perfectly personalized present. And, how did the guys' resolutions go last year? Eh… you'll see.  _____________________________________________________________________ Unexpected, unnecessary gifts can be pretty darn impactful, and they might just be an awesome way to express your esteem for a valued professional peer. Gyi and Conrad encourage listeners to forgo the pears and apples and consider a thoughtful, personalized gifting strategy that truly shows others you care. Next, the guys answer a listener question on Google SGE. What are its long-term prospects? Will it play a role in Search? Gyi and Conrad hash out their prognostications.  It seems we love to hate ourselves for failing miserably at New Year's resolutions. The guys share their successes and lack thereof on 2023's personal, professional, and podcast goals, and talk about their bright, shiny hopes for 2024.  The News: Take that, robocallers/texters! The FCC has adopted new rules closing 'lead generator" loopholes. Is print coming back? Great Legal Marketing has an excellent print newsletter, so maybe, just maybe, you should consider one as well.  Mentioned in this Episode: Ask a question—get some swag! Leave Us an Apple Review  Lunch Hour Legal Marketing now on YouTube  Lunch Hour Legal Marketing on TikTok

Buckle up, EDGE fans! Erin, Jacob, and Mordy crash onto the scene with the last EDGE of the Web episode of 2024, Episode 650. Mordy, please….can we keep Erin's mother-in-law out of this already? On the docket: 2024 listicle apocalypse, AI drama with Chat GPT and The New York Times, Burger King's hangover-detecting robots, and SEO's 2024 crystal ball (think personalization and AI whispers). Plus, Google's ad experiments and WordPress' competitive platform exodus guides. Grab your existential dread and hit play. It's EDGE OF THE WEB time! Let's get weirder than a family reunion after too much eggnog. News from the EDGE: [00:04:21] Google Acknowledges Live Testing of Ad Copy Variations in Advertisements [00:09:15] Fresh Insights from Google SGE: Exploring Content Formats, YMYL, and Product Views [00:16:13] EDGE of the Web Title Sponsor: Site Strategics [00:16:51] Keep an Eye on These Crucial Search Trends in 2024 AI Blitz: [00:22:51] Study: Most visited AI Tools in 2023 [00:24:40] New York Times sues Microsoft and OpenAI in copyright case [00:26:36] Burger King turns hangovers into discounts with facial recognition AI Tools: [00:29:11] RambleFix [00:30:37] Meet your AI nutrition and fitness coach [00:33:09] EDGE of the Web Sponsor: edgeofthewebradio.com/inlinks Barry Blast from Search Engine Roundtable: [00:34:47] Barry Blast 1: Google Search Generative Experience December End Date Removed [00:35:53] Barry Blast 2: Pre-Christmas Intense Google Algorithm Ranking Volatility [00:37:12] Barry Blast 3: Google Checks 4 Billion Host Names Each Day For Robots.txt   Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site Inlinks https://edgeofthewebradio.com/inlinks Follow Us: Twitter: @ErinSparks Twitter: @MordyOberstein Twitter: @TheMann00 Twitter: @EDGEWebRadio #StandwithUkraine edgeofthewebradio.com/ukraine

Today, I want to dive into the exciting world of digital marketing and share some insights that will help you stay ahead of the game. Trust me, you don't want to miss out on this! So, let's talk about the impending shift in marketing. We're on the verge of a major revolution in the digital marketing landscape, and it's crucial that we adapt to these changes. One of the big disruptors in the industry is Google's AI, known as Search Generative Experience (SGE). This AI is going to completely transform the way people use search engines, making them more conversational and interactive. And that means the old ways of marketing might not cut it anymore. Now, here's the thing - data and audience are going to be the keys to success in this new era of digital marketing. You need to master data reporting and understand where your clients are coming from. Platforms like Google rely on data to find more of your target audience, so it's essential to get a handle on it. But it's not just about data, my friend. Building an audience through content creation on social channels is equally important. It's a way to connect with your audience on a more personal level and not solely rely on Google. The changes brought by SGE and other advancements are just around the corner. In fact, I predict we'll start feeling their impact this year. So, it's time to take action and set up accurate conversion tracking. This will help you understand your audience better and make smarter marketing decisions. And hey, if you're feeling overwhelmed, don't worry. I'm here to help you navigate through these changes. If you need assistance or know someone who could benefit from this information, feel free to share this episode. In conclusion, the future of digital marketing is bright and full of opportunities. But to seize those opportunities, we need to adapt and evolve. Let's embrace the future together and make the most of what's to come.

Il est Consultant SEO depuis 2004. Le concept de "Cocon Sémantique" c'est à lui que vous le devezLaurent Bourrelly, AKA SEO Rockstar, est avant tout un entrepreneur en quête de liberté.Visionnaire, il a su anticiper la plupart des évolutions des 2 dernières décennies,Toujours en gardant une certaine longueur d'avance sur la concurrenceForcement, il fallait que je lui demande comment va évoluer le SEO en 2024,Notamment avec l'avènement de Google SGE.Des soirées faites à New York avec Biggie dans les années 90 à son activité de consultant pour des chefs d'États, en passant par les tips actionnables à mettre en place pour rayonner en SEO,Laurent donne ses prédictions sur l'évolution du SEO en 2024.Et disclaimer : Il n'y a jamais eu autant d'opportunité de faire du SEO qu'en 2024 ;-)Un épisode full valeur avec une personne de valeur.Un like + commentaire pour soutenir ce podcast et le faire connaître au maximum ❤️Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In a world first, I share how you can rank your website in Google's new Search Generative Experience. You can't afford to miss this one. Watch the video instead https://www.youtube.com/watch?v=9MfFS8rhZlY Get a FREE review of your website https://exposureninja.com/rpod/review/ Get the show notes https://exposureninja.com/blog/how-to-rank-search-generative-experience/ Get a FREE copy of How To Get To The Top of Google https://exposureninja.com/your-google-book/ You May Also Enjoy… How to Create the Perfect Marketing Strategy for 2024 https://exposureninja.com/podcast/297/ The Best B2B Marketing Strategies for 2024 https://exposureninja.com/podcast/298/ The Best B2C Marketing Strategies for 2024 https://exposureninja.com/podcast/294/ How To Do B2B Marketing That DOMINATES in 2024 https://exposureninja.com/podcast/extra-031/ How To Do B2C Marketing That CRUSHES in 2024 https://exposureninja.com/podcast/extra-033/ How To Get B2B LEADS That Come to YOU https://exposureninja.com/podcast/264/ How to 10X Your Conversions (Like a $5M Business) https://exposureninja.com/podcast/extra-034/ How to Get Buy-in For Your Marketing Strategy https://exposureninja.com/podcast/300/  

Prepare yourself to venture into the fascinating domain of Google's Search-Generated Experience (SGE) and grasp the profound effect it could have on your law firm's digital marketing approach. We touch on the remarkable AI-powered search model, empowering you to leverage it to your advantage. Get ready to gain fresh perspectives on the shift towards longer and more specific queries, the changing user behavior, and the necessity of a robust search advertising strategy to stay ahead. Our deep dive into Google's SGE uncovers how the tech giant is harnessing AI and machine learning to revolutionize the user search experience. We'll unravel how this could impact your law firm's website traffic and guide you through the implications for your digital marketing efforts. Furthermore, we explore the transformation in Google's advertising strategy and how it's fueling revenue growth. We underline how you can wield your expertise, authority, and trust to gain a competitive edge in Google Search.  This episode is brimming with invaluable insights whether you're a tech aficionado eager to understand the latest advancements or a law firm owner striving to navigate the digital marketing landscape. We'll discuss how Google's SGE could alter user interactions with search results and the potential shift from search-generated revenue to banner ads, video ads, and other advertising formats.  Buckle up for an enlightening conversation aimed at keeping you one step ahead in the ever-evolving digital world. Show Highlights: Understanding Google's Search-Generated Experience (SGE) and its potential impact on law firm's digital marketing strategy. Google's shift towards AI and machine learning to enhance user search experience. Google's evolving advertising strategy and how law firms can leverage their expertise, authority, and trust for competitive advantage. The impact of Google's SGE on user interactions with search results. The potential decrease in website traffic due to zero-click search results and the need for a robust search advertising strategy. Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select “Ratings and Reviews” and “Write a Review” then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Supporting Resources: Schedule a Consultation: https://gngf.com/consultation  Visit the Website: https://gngf.com/  Visit streamlined.legal:https://streamlined.legal/  https://streamlined.legal/videos  Twitter: @NextLevel_Legal  Instagram or Facebook: @nextlevel.legal For information about all our episodes and to sign up for our email newsletter: http://nextlevel.legal More Information About Our Hosts: Melanie Leonard: streamlined.legal —-------------------------------- For help automating key processes in your law firm and implementing legal tech (especially around Clio & Lawmatics), check out the free videos and resources at https://streamlined.legal/videos to streamline your law firm TODAY.   Mark Homer: Get Noticed Get Found —-------------------------------------------------- Every day, the Get Noticed Get Found team (GNGF) helps ambitious law firms push through their growth plateaus. If your marketing budget is $80,000 or more a year and you are interested in learning how the GNGF team can help take your law firm's marketing to the next level, schedule a conversation with our team at https://gngf.com/consultation  or give us a call at 513-444-2016.   If you are just getting started but want some hand-holding and guidance as you spend more time and money in marketing, check out GNGF's sister company https://lexcelerate.legal, which provides marketing help through group coaching, training videos, and downloadable guides for solo and small law firms. ACTION STEPS: MARK:  Action Steps Don't change what you are doing from a content and SEO perspective if you follow the approaches we have talked about – which is to create content with the user in mind and create content in a way that provides expertise, authority, and trust signals to Google. If you aren't doing Google paid ads for search ads, you may want to look into starting.  Talk to your agency or find one, as running Google ads on your own can be costly if you make mistakes.  Of course, if you haven't done so already: Subscribe and follow our podcast so you will be notified when our next episode goes live.  If you haven't done so already:  Subscribe on Apple Podcasts, Google Podcasts, Spotify, or wherever you listen. And once you have subscribed - please leave us a 5-star rating and review, as that will help this podcast get discovered by other law firm owners.    -- Until next time, don't forget…..   Your Law Firm is a business -- take it to the next level.   *** Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com. Let them know I sent you.

Neste episódio das rapidinhas falamos Sam Altman já não o CEo da OpenAI, eventos chave no GA4, Google SGE e muito mais.    Episódio de: Download do podcast [RAPIDINHAS, NOTÍCIAS DA SEMANA QUE ACHAMOS RELEVANTES]  A Google está a testar notas no motor de pesquisa, tal como o Twitter faz. Ainda no motor de pesquisa […] O conteúdo Sam Altman, eventos chave no GA4, Google SGE e muito mais – e160s01 aparece primeiro em Podcast Marketing por Idiotas.

In this episode, Tim and Jess are joined by Dale Davies (Exposure Ninja's Head of Marketing and former Head of SEO) as they talk about creating an unbeatable SEO strategy for 2024. Watch this as a video instead https://exposure.ninja/extra-37 Get a FREE review of your website https://exposureninja.com/rpod/review/ Get the show notes https://exposureninja.com/podcast/extra-037/ Get a FREE copy of How To Get To The Top of Google https://exposureninja.com/your-google-book/ You May Also Enjoy… How to Create the Perfect Marketing Strategy for 2024 https://exposureninja.com/podcast/297/ The Best B2B Marketing Strategies for 2024 https://exposureninja.com/podcast/298/ The Best B2C Marketing Strategies for 2024 https://exposureninja.com/podcast/294/ How To Do B2B Marketing That DOMINATES in 2024 https://exposureninja.com/podcast/extra-031/ How To Do B2C Marketing That CRUSHES in 2024 https://exposureninja.com/podcast/extra-033/ How To Get B2B LEADS That Come to YOU https://exposureninja.com/podcast/264/ How to 10X Your Conversions (Like a $5M Business) https://exposureninja.com/podcast/extra-034/ The ONLY Digital Marketing Strategy You'll Ever Need https://exposureninja.com/podcast/269/ How To Convert the 90% of Website Traffic That Gets Away https://exposureninja.com/podcast/275/

Schon wieder laufen zwei Google Updates parallel: das Core Update und - ganz neu - auch das Reviews Update vom November. Viele stellen sich die Frage: War es das für 2023, oder hat Google noch ein Update im Ärmel? Google hat den Page Experience Report in der Search Console angepasst. Er zeigt jetzt deutlich weniger Daten an. Bald entfällt außerdem der Bericht zur Mobilfreundlichkeit. Auf manchen Suchergebnisseiten zeigt Google jetzt mehrere Local Packs an. Bis zu vier der Boxen mit lokalen Suchergebnissen wurden gesichtet - allerdings derzeit nur in Google Österreich.  Google hat den Zugriff auf die neue Suche, Google SGE, um mehr als 120 Länder erweitert. Europäische Länder und damit auch Deutschland sucht man auf der Liste allerdings vergebens. Wer sich um EEAT für seine Website sorgt, sollte sich auf die Nutzer fokussieren und nicht an Google denken.

Googles Search Generative Experience kommer potentielt til at vende op og ned på en masse online forretninger. Mister alle hjemmesider det meste af deres trafik, bliver der skabt en nedadgående spiral, og hvordan positionerer man sig bedst. Det og meget mere bliver vendt i dagens episode.

At the AI Pioneers Summit we announced Latent Space Launchpad, an AI-focused accelerator in partnership with Decibel. If you're an AI founder of enterprise early adopter, fill out this form and we'll be in touch with more details. We also have a lot of events coming up as we wrap up the year, so make sure to check out our community events page and come say hi!We previously interviewed the founders of many developer productivity startups embedded in the IDE, like Codium AI, Cursor, and Codeium. We also covered Replit's (former) SOTA model, replit-code-v1-3b and most recently had Amjad and Michele announce replit-code-v1_5-3b at the AI Engineer Summit.Much has been speculated about the StackOverflow traffic drop since ChatGPT release, but the experience is still not perfect. There's now a new player in the “search for developers” arena: Phind.Phind's goal is to help you find answers to your technical questions, and then help you implement them. For example “What should I use to create a frontend for a Python script?” returns a list of frameworks as well as links to the sources. You can then ask follow up questions on specific implementation details, having it write some code for you, etc. They have both a web version and a VS Code integrationThey recently were top of Hacker News with the announcement of their latest model, which is now the #1 rated model on the BigCode Leaderboard, beating their previous version:TLDR Cheat Sheet:* Based on CodeLlama-34B, which is trained on 500B tokens* Further fine-tuned on 70B+ high quality code and reasoning tokens* Expanded context window to 16k tokens* 5x faster than GPT-4 (100 tok/s vs 20 tok/s on single stream)* 74.7% HumanEval vs 45% for the base modelWe've talked before about HumanEval being limited in a lot of cases and how it needs to be complemented with “vibe based” evals. Phind thinks of evals alongside two axis: * Context quality: when asking the model to generate code, was the context high quality? Did we put outdated examples in it? Did we retrieve the wrong files?* Result quality: was the code generated correct? Did it follow the instructions I gave it or did it misunderstand some of it?If you have bad results with bad context, you might get to a good result by working on better RAG. If you have good context and bad result you might either need to work on your prompting or you have hit the limits of the model, which leads you to fine tuning (like they did). Michael was really early to this space and started working on CommonCrawl filtering and indexing back in 2020, which led to a lot of the insights that now power Phind. We talked about that evolution, his experience at YC, how he got Paul Graham to invest in Phind and invite him to dinner at his house, and how Ron Conway connected him with Jensen Huang to get access to more GPUs!Show Notes* Phind* BigScience T0* InstructGPT Paper* Inception-V3* LMQL* Marginalia Nu* Mistral AI* People:* Paul Graham (pg)* Ron Conway* Yacine Jernite from HuggingFace* Jeff DelaneyTimestamps* [00:00:00] Intros & Michael's early interest in computer vision* [00:03:14] Pivoting to NLP and natural language question answering models* [00:07:20] Building a search engine index of Common Crawl and web pages* [00:11:26] Releasing the first version of Hello based on the search index and BigScience T0 model* [00:14:02] Deciding to focus the search engine specifically for programmers* [00:17:39] Overview of Phind's current product and focus on code reasoning* [00:21:51] The future vision for Phind to go from idea to complete code* [00:24:03] Transitioning to using the GPT-4 model and the impact it had* [00:29:43] Developing the Phind model based on CodeLlama and additional training* [00:32:28] Plans to continue improving the Phind model with open source technologies* [00:43:59] The story of meeting Paul Graham and Ron Conway and how that impacted the company* [00:53:02] How Ron Conway helped them get GPUs from Nvidia* [00:57:12] Tips on how Michael learns complex AI topics* [01:01:12] Lightning RoundTranscriptAlessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO of Residence and Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol AI. [00:00:19]Swyx: Hey, and today we have in the studio Michael Royzen from Phind. Welcome. [00:00:23]Michael: Thank you so much. [00:00:24]Alessio: It's great to be here. [00:00:25]Swyx: Yeah, we are recording this in a surprisingly hot October in San Francisco. And sometimes the studio works, but the blue angels are flying by right now, so sorry about the noise. So welcome. I've seen Phind blow up this year, mostly, I think since your launch in Feb and V2 and then your Hacker News posts. We tend to like to introduce our guests, but then obviously you can fill in the blanks with the origin story. You actually were a high school entrepreneur. You started SmartLens, which is a computer vision startup in 2017. [00:00:59]Michael: That's right. I remember when like TensorFlow came out and people started talking about, obviously at the time after AlexNet, the deep learning revolution was already in flow. Good computer vision models were a thing. And what really made me interested in deep learning was I got invited to go to Apple's WWDC conference as a student scholar because I was really into making iOS apps at the time. So I go there and I go to this talk where they added an API that let people run computer vision models on the device using far more efficient GPU primitives. After seeing that, I was like, oh, this is cool. This is going to have a big explosion of different computer vision models running locally on the iPhone. And so I had this crazy idea where it was like, what if I could just make this model that could recognize just about anything and have it run on the device? And that was the genesis for what eventually became SmartLens. I took this data set called ImageNet 22K. So most people, when they think of ImageNet, think of ImageNet 1K. But the full ImageNet actually has, I think, 22,000 different categories. So I took that, filtered it, pre-processed it, and then did a massive fine tune on Inception V3, which was, I think, the state of the art deep convolutional computer vision model at the time. And to my surprise, it actually worked insanely well. I had no idea what would happen if I give a single model. I think it ended up being 17,000 categories approximately that I collapsed them into. It worked so well that it actually worked better than Google Lens, which released its V1 around the same time. And on top of this, the model ran on the device. So it didn't need an internet connection. A big part of the issue with Google Lens at the time was that connections were slower. 4G was around, but it wasn't nearly as fast. So there was a noticeable lag having to upload an image to a server and get it back. But just processing it locally, even on the iPhones of the day in 2017, much faster. It was a cool little project. It got some traction. TechCrunch wrote about it. There was kind of like one big spike in usage, and then over time it tapered off. But people still pay for it, which is wild. [00:03:14]Swyx: That's awesome. Oh, it's like a monthly or annual subscription? [00:03:16]Michael: Yeah, it's like a monthly subscription. [00:03:18]Swyx: Even though you don't actually have any servers? [00:03:19]Michael: Even though we don't have any servers. That's right. I was in high school. I had a little bit of money. I was like, yeah. [00:03:25]Swyx: That's awesome. I always wonder what the modern equivalents kind of "Be my eyes". And it would be actually disclosed in the GPT-4 Vision system card recently that the usage was surprisingly not that frequent. The extent to which all three of us have our sense of sight. I would think that if I lost my sense of sight, I would use Be My Eyes all the time. The average usage of Be My Eyes per day is 1.5 times. [00:03:49]Michael: Exactly. I was thinking about this as well, where I was also looking into image captioning, where you give a model an image and then it tells you what's in the image. But it turns out that what people want is the exact opposite. People want to give a description of an image and then have the AI generate the image. [00:04:04]Alessio: Oh, the other way. [00:04:06]Michael: Exactly. And so at the time, I think there were some GANs, NVIDIA was working on this back in 2019, 2020. They had some impressive, I think, face GANs where they had this model that would produce these really high quality portraits, but it wasn't able to take a natural language description the way Midjourney or DALL-E 3 can and just generate you an image with exactly what you described in it. [00:04:32]Swyx: And how did that get into NLP? [00:04:35]Michael: Yeah, I released the SmartLens app and that was around the time I was a senior in high school. I was applying to college. College rolls around. I'm still sort of working on updating the app in college. But I start thinking like, hey, what if I make an enterprise version of this as well? At the time, there was Clarify that provided some computer vision APIs, but I thought this massive classification model works so well and it's so small and so fast, might as well build an enterprise product. And I didn't even talk to users or do any of those things that you're supposed to do. I was just mainly interested in building a type of backend I've never built before. So I was mainly just doing it for myself just to learn. I built this enterprise classification product and as part of it, I'm also building an invoice processing product where using some of the aspects that I built previously, although obviously it's very different from classification, I wanted to be able to just extract a bunch of structured data from an unstructured invoice through our API. And that's what led me to Hugnyface for the first time because that involves some natural language components. And so I go to Hugnyface and with various encoder models that were around at the time, I used the standard BERT and also Longformer, which came out around the same time. And Longformer was interesting because it had a much bigger context window than those models at the time, like BERT, all of the first gen encoder only models, they only had a context window of 512 tokens and it's fixed. There's none of this alibi or ROPE that we have now where we can basically massage it to be longer. They're fixed, 512 absolute encodings. Longformer at the time was the only way that you can fit, say, like a sequence length or ask a question about like 4,000 tokens worth of text. Implemented Longformer, it worked super well, but like nobody really kind of used the enterprise product and that's kind of what I expected because at the end of the day, it was COVID. I was building this kind of mostly for me, mostly just kind of to learn. And so nobody really used it and my heart wasn't in it and I kind of just shelved it. But a little later, I went back to HugMeFace and I saw this demo that they had, and this is in the summer of 2020. They had this demo made by this researcher, Yacine Jernite, and he called it long form question answering. And basically, it was this self-contained notebook demo where you can ask a question the way that we do now with ChatGPT. It would do a lookup into some database and it would give you an answer. And it absolutely blew my mind. The demo itself, it used, I think, BART as the model and in the notebook, it had support for both an Elasticsearch index of Wikipedia, as well as a dense index powered by Facebook's FAISS. I think that's how you pronounce it. It was very iffy, but when it worked, I think the question in the demo was, why are all boats white? When it worked, it blew my mind that instead of doing this few shot thing, like people were doing with GPT-3 at the time, which is all the rage, you could just ask a model a question, provide no extra context, and it would know what to do and just give you the answer. It blew my mind to such an extent that I couldn't stop thinking about that. When I started thinking about ways to make it better, I tried training, doing the fine tune with a larger BART model. And this BART model, yeah, it was fine tuned on this Reddit data set called Eli5. So basically... [00:08:02]Alessio: Subreddit. [00:08:03]Swyx: Yeah, subreddit. [00:08:04]Alessio: Yeah. [00:08:05]Michael: And put it into like a well-formatted, relatively clean data set of like human questions and human answers. And that was a really great bootstrap for that model to be able to answer these types of questions. And so Eli5 actually turned out to be a good data set for training these types of question answering models, because the question is written by a human, the answer is written by a human, and at least helps the model get the format right, even if the model is still very small and it can't really think super well, at least it gets the format right. And so it ends up acting as kind of a glorified summarization model, where if it's fed in high quality context from the retrieval system, it's able to have a reasonably high quality output. And so once I made the model as big as I can, just fine tuning on BART large, I started looking for ways to improve the index. So in the demo, in the notebook, there were instructions for how to make an Elasticsearch index just for Wikipedia. And I was like, why not do all of Common Crawl? So I downloaded Common Crawl, and thankfully, I had like 10 or $15,000 worth of AWS credits left over from the SmartLens project. And that's what really allowed me to do this, because there's no other funding. I was still in college, not a lot of money, and so I was able to spin up a bunch of instances and just process all of Common Crawl, which is massive. So it's roughly like, it's terabytes of text. I went to Alexa to get the top 1,000 websites or 10,000 websites in the world, then filtered only by those websites, and then indexed those websites, because the web pages were already included in Dump. [00:09:38]Swyx: You mean to supplement Common Crawl or to filter Common Crawl? [00:09:41]Michael: Filter Common Crawl. [00:09:42]Alessio: Oh, okay. [00:09:43]Michael: Yeah, sorry. So we filtered Common Crawl just by the top, I think, 10,000, just to limit this, because obviously there's this massive long tail of small sites that are really cool, actually. There's other projects like, shout out to Marginalia Nu, which is a search engine specialized on the long tail. I think they actually exclude the top 10,000. [00:10:03]Swyx: That's what they do. [00:10:04]Alessio: Yeah. [00:10:05]Swyx: I've seen them around, I just don't really know what their pitch is. Okay, that makes sense. [00:10:08]Michael: So they exclude all the top stuff. So the long tail is cool, but for this, that was kind of out of the question, and that was most of the data anyway. So we've removed that. And then I indexed the remaining approximately 350 million webpages through Elasticsearch. So I built this index running on AWS with these webpages, and it actually worked quite well. You can ask it general common knowledge, history, politics, current events, questions, and it would be able to do a fast lookup in the index, feed it into the model, and it would give a surprisingly good result. And so when I saw that, I thought that this is definitely doable. And it kind of shocked me that no one else was doing this. And so this was now the fall of 2020. And yeah, I was kind of shocked no one was doing this, but it costs a lot of money to keep it up. I was still in college. There are things going on. I got bogged down by classes. And so I ended up shelving this for almost a full year, actually. When I returned to it in fall of 2021, when BigScience released T0, when BigScience released the T0 models, that was a massive jump in the reasoning ability of the model. And it was better at reasoning, it was better at summarization, it was still a glorified summarizer basically. [00:11:26]Swyx: Was this a precursor to Bloom? Because Bloom's the one that I know. [00:11:29]Alessio: Yeah. [00:11:30]Michael: Actually coming out in 2022. But Bloom had other problems where for whatever reason, the Bloom models just were never really that good, which is so sad because I really wanted to use them. But I think they didn't turn on that much data. I think they used like the original, they were trying to replicate GPT-3. So they just use those numbers, which we now know are like far below Chinchilla Optimal and even Chinchilla Optimal, which we can like talk about later, like what we're currently doing with MIMO goes, yeah, it goes way beyond that. But they weren't trying enough data. I'm not sure how that data was clean, but it probably wasn't super clean. And then they didn't really do any fine tuning until much later. So T0 worked well because they took the T5 models, which were closer to Chinchilla Optimal because I think they were trained on also like 300 something billion tokens, similar to GPT-3, but the models were much smaller. I think T0 is the first model that did large scale instruction tuning from diverse data sources in the fall of 2021. This is before Instruct GPT. This is before Flan T5, which came out in 2022. This is the very, very first, at least well-known example of that. And so it came out and then I did, on top of T0, I also did the Reddit Eli5 fine tune. And that was the first model and system that actually worked well enough to where I didn't get discouraged like I did previously, because the failure cases of the BART based system was so egregious. Sometimes it would just miss a question so horribly that it was just extremely discouraging. But for the first time, it was working reasonably well. Also using a much bigger model. I think the BART model is like 800 million parameters, but T0, we were using 3B. So it was T0, 3B, bigger model. And that was the very first iteration of Hello. So I ended up doing a show HN on Hacker News in January 2022 of that system. Our fine tune T0 model connected to our Elasticsearch index of those 350 million top 10,000 common crawl websites. And to the best of my knowledge, I think that's the first example that I'm aware of a LLM search engine model that's effectively connected to like a large enough index that I consider like an internet scale. So I think we were the first to release like an internet scale LLM powered rag search system In January 2022, around the time me and my future co-founder, Justin, we were like, this seems like the future. [00:14:02]Alessio: This is really cool. [00:14:03]Michael: I couldn't really sleep even like I was going to bed and I was like, I was thinking about it. Like I would say up until like 2.30 AM, like reading papers on my phone in bed, go to sleep, wake up the next morning at like eight and just be super excited to keep working. And I was also doing my thesis at the same time, my senior honors thesis at UT Austin about something very similar. We were researching factuality in abstractive question answering systems. So a lot of overlap with this project and the conclusions of my research actually kind of helped guide the development path of Hello. In the research, we found that LLMs, they don't know what they don't know. So the conclusion was, is that you always have to do a search to ensure that the model actually knows what it's talking about. And my favorite example of this even today is kind of with chat GPT browsing, where you can ask chat GPT browsing, how do I run llama.cpp? And chat GPT browsing will think that llama.cpp is some file on your computer that you can just compile with GCC and you're all good. It won't even bother doing a lookup, even though I'm sure somewhere in their internal prompts they have something like, if you're not sure, do a lookup. [00:15:13]Alessio: That's not good enough. So models don't know what they don't know. [00:15:15]Michael: You always have to do a search. And so we approached LLM powered question answering from the search angle. We pivoted to make this for programmers in June of 2022, around the time that we were getting into YC. We realized that what we're really interested in is the case where the models actually have to think. Because up until then, the models were kind of more glorified summarization models. We really thought of them like the Google featured snippets, but on steroids. And so we saw a future where the simpler questions would get commoditized. And I still think that's going to happen with like Google SGE and like it's nowadays, it's really not that hard to answer the more basic kind of like summarization, like current events questions with lightweight models that'll only continue to get cheaper over time. And so we kind of started thinking about this trade off where LLM models are going to get both better and cheaper over time. And that's going to force people who run them to make a choice. Either you can run a model of the same intelligence that you could previously for cheaper, or you can run a better model for the same price. So someone like Google, once the price kind of falls low enough, they're going to deploy and they're already doing this with SGE, they're going to deploy a relatively basic glorified summarizer model that can answer very basic questions about like current events, who won the Super Bowl, like, you know, what's going on on Capitol Hill, like those types of things. The flip side of that is like more complex questions where like you have to reason and you have to solve problems and like debug code. And we realized like we're much more interested in kind of going along the bleeding edge of that frontier case. And so we've optimized everything that we do for that. And that's a big reason of why we've built Phind specifically for programmers, as opposed to saying like, you know, we're kind of a search engine for everyone because as these models get more capable, we're very interested in seeing kind of what the emergent properties are in terms of reasoning, in terms of being able to solve complex multi-step problems. And I think that some of those emerging capabilities like we're starting to see, but we don't even fully understand. So I think there's always an opportunity for us to become more general if we wanted, but we've been along this path of like, what is the best, most advanced reasoning engine that's connected to your code base, that's connected to the internet that we can just provide. [00:17:39]Alessio: What is Phind today, pragmatically, from a product perspective, how do people interact with it? Yeah. Or does it plug into your workflow? [00:17:46]Michael: Yeah. [00:17:47]Alessio: So Phind is really a system. [00:17:48]Michael: Phind is a system for programmers when they have a question or when they're frustrated or when something's not working. [00:17:54]Swyx: When they're frustrated. [00:17:55]Alessio: Yeah. [00:17:56]Michael: For them to get on block. I think like the single, the most abstract page for Phind is like, if you're experiencing really any kind of issue as a programmer, we'll solve that issue for you in 15 seconds as opposed to 15 minutes or longer. Phind has an interface on the web. It has an interface in VS code and more IDEs to come, but ultimately it's just a system where a developer can paste in a question or paste in code that's not working and Phind will do a search on the internet or they will find other code in your code base perhaps that's relevant. And then we'll find the context that it needs to answer your question and then feed it to a reasoning engine powerful enough to actually answer it. So that's really the philosophy behind Phind. It's a system for getting developers the answers that they're looking for. And so right now from a product perspective, this means that we're really all about getting the right context. So the VS code extension that we launched recently is a big part of this because you can just ask a question and it knows where to find the right code context in your code. It can do an internet search as well. So it's up to date and it's not just reliant on what the model knows and it's able to figure out what it needs by itself and answer your question based on that. If it needs some help, you can also get yourself kind of just, there's opportunities for you yourself to put in all that context in. But the issue is also like not everyone wants these VS code. Some people like are real Neovim sticklers or they're using like PyCharm or other IDEs, JetBrains. And so for those people, they're actually like okay with switching tabs, at least for now, if it means them getting their answer. Because really like there's been an explosion of all these like startups doing code, doing search, etc. But really who everyone's competing with is ChatGPT, which only has like that one web interface. Like ChatGPT is really the bar. And so that's what we're up against. [00:19:50]Alessio: And so your idea, you know, we have Amman from Cursor on the podcast and they've gone through the we need to own the IDE thing. Yours is more like in order to get the right answer, people are happy to like go somewhere else basically. They're happy to get out of their IDE. [00:20:05]Michael: That was a great podcast, by the way. But yeah, so part of it is that people sometimes perhaps aren't even in an IDE. So like the whole task of software engineering goes way beyond just running code, right? There's also like a design stage. There's a planning stage. A lot of this happens like on whiteboards. It happens in notebooks. And so the web part also exists for that where you're not even coding it and you're just trying to get like a more conceptual understanding of what you're trying to build first. The podcast with Amman was great, but somewhere where I disagree with him is that you need to own the IDE. I think like he made some good points about not having platform risk in the long term. But some of the features that were mentioned like suggesting diffs, for example, those are all doable with an extension. We haven't yet seen with VS Code in particular any functionality that we'd like to do yet in the IDE that we can't either do through directly supported VS Code functionality or something that we kind of hack into there, which we've also done a fair bit of. And so I think it remains to be seen where that goes. But I think what we're looking to be is like we're not trying to just be in an IDE or be an IDE. Like Phind is a system that goes beyond the IDE and like is really meant to cover the entire lifecycle of a developer's thought process in going about like, hey, like I have this idea and I want to get from that idea to a working product. And so then that's what the long term vision of Phind is really about is starting with that. In the future, I think programming is just going to be really just the problem solving. Like you come up with an idea, you come up with like the basic design for the algorithm in your head, and you just tell the AI, hey, just like just do it, just make it work. And that's what we're building towards. [00:21:51]Swyx: I think we might want to give people an impression about like type of traffic that you have, because when you present it with a text box, you could type in anything. And I don't know if you have some mental categorization of like what are like the top three use cases that people tend to coalesce around. [00:22:08]Alessio: Yeah, that's a great question. [00:22:09]Michael: The two main types of searches that we see are how-to questions, like how to do X using Y tool. And this historically has been our bread and butter, because with our embeddings, like we're really, really good at just going over a bunch of developer documentation and figuring out exactly the part that's relevant and just telling you, OK, like you can use this method. But as LLMs have gotten better, and as we've really transitioned to using GPT-4 a lot in our product, people organically just started pasting in code that's not working and just said, fix it for me. [00:22:42]Swyx: Fix this. [00:22:43]Alessio: Yeah. [00:22:44]Michael: And what really shocks us is that a lot of the people who do that, they're coming from chat GPT. So they tried it in chat GPT with chat GPT-4. It didn't work. Maybe it required like some multi-step reasoning. Maybe it required some internet context or something found in either a Stack Overflow post or some documentation to solve it. And so then they paste it into find and then find works. So those are really those two different cases. Like, how can I build this conceptually or like remind me of this one detail that I need to build this thing? Or just like, here's this code. Fix it. And so that's what a big part of our VS Code extension is, is like enabling a much smoother here just like fix it for me type of workflow. That's really its main benefits. Like it's in your code base. It's in the IDE. It knows how to find the relevant context to answer that question. But at the end of the day, like I said previously, that's still a relatively, not to say it's a small part, but it's a limited part of the entire mental life cycle of a programmer. [00:23:47]Swyx: Yep. So you launched in Feb and then you launched V2 in August. You had a couple other pretty impactful posts slash feature launches. The web search one was massive. So you were mostly a GPT-4 wrapper. We were for a long time. [00:24:03]Michael: For a long time until recently. Yeah. [00:24:05]Alessio: Until recently. [00:24:06]Swyx: So like people coming over from ChatGPT were saying, we're going to say model with your version of web search. Would that be the primary value proposition? [00:24:13]Michael: Basically yeah. And so what we've seen is that any model plus web search is just significantly better than [00:24:18]Alessio: that model itself. Do you think that's what you got right in April? [00:24:21]Swyx: Like so you got 1500 points on Hacking News in April, which is like, if you live on Hacking News a lot, that is unheard of for someone so early on in your journey. [00:24:31]Alessio: Yeah. [00:24:32]Michael: We're super, super grateful for that. Definitely was not expecting it. So what we've done with Hacker News is we've just kept launching. [00:24:38]Alessio: Yeah. [00:24:39]Michael: Like what they don't tell you is that you can just keep launching. That's what we've been doing. So we launched the very first version of Find in its current incarnation after like the previous demo connected to our own index. Like once we got into YC, we scrapped our own index because it was too cumbersome at the time. So we moved over to using Bing as kind of just the raw source data. We launched as Hello Cognition. Over time, every time we like added some intelligence to the product, a better model, we just keep launching. And every additional time we launched, we got way more traffic. So we actually silently rebranded to Find in late December of last year. But like we didn't have that much traffic. Nobody really knew who we were. [00:25:18]Swyx: How'd you pick the name out of it? [00:25:19]Michael: Paul Graham actually picked it for us. [00:25:21]Swyx: All right. [00:25:22]Alessio: Tell the story. Yeah. So, oh boy. [00:25:25]Michael: So this is the biggest side. Should we go for like the full Paul Graham story or just the name? [00:25:29]Swyx: Do you want to do it now? Or do you want to do it later? I'll give you a choice. [00:25:32]Alessio: Hmm. [00:25:33]Michael: I think, okay, let's just start with the name for now and then we can do the full Paul Graham story later. But basically, Paul Graham, when we were lucky enough to meet him, he saw our name and our domain was at the time, sayhello.so and he's just like, guys, like, come on, like, what is this? You know? And we were like, yeah, but like when we bought it, you know, we just kind of broke college students. Like we didn't have that much money. And like, we really liked hello as a name because it was the first like conversational search engine. And that's kind of, that's the angle that we were approaching it from. And so we had sayhello.so and he's like, there's so many problems with that. Like, like, like the say hello, like, what does that even mean? And like .so, like, it's gotta be like a .com. And so we did some time just like with Paul Graham in the room. We just like looked at different domain names, like different things that like popped into our head. And one of the things that popped into like Paul Graham said was fine with the Phind spelling in particular. [00:26:33]Swyx: Yeah. Which is not typical naming advice, right? Yes. Because it's not when people hear it, they don't spell it that way. [00:26:38]Michael: Exactly. It's hard to spell. And also it's like very 90s. And so at first, like, we didn't like, I was like, like, ah, like, I don't know. But over time it kept growing on us. And eventually we're like, okay, we like the name. It's owned by this elderly Canadian gentleman who we got to know, and he was willing to sell it to us. [00:26:57]Michael: And so we bought it and we changed the name. Yeah. [00:27:01]Swyx: Anyways, where were you? [00:27:02]Alessio: I had to ask. [00:27:03]Swyx: I mean, you know, everyone who looks at you is wondering. [00:27:06]Michael: And a lot of people actually pronounce it Phind, which, you know, by now it's part of the game. But eventually we want to buy Phind.com and then just have that redirect to Phind. So Phind is like definitely the right spelling. But like, we'll just, yeah, we'll have all the cases addressed. [00:27:23]Swyx: Cool. So Bing web search, and then August you launched V2. Is V2 the Phind as a system pitch? Or have you moved, evolved since then? [00:27:31]Michael: Yeah, so I don't, like the V2 moniker, like, I don't really think of it that way in my mind. There's like, there's the version we launched during, last summer during YC, which was the Bing version directed towards programmers. And that's kind of like, that's why I call it like the first incarnation of what we currently are. Because it was already directed towards programmers. We had like a code snippet search built in as well, because at the time, you know, the models we were using weren't good enough to generate code snippets. Even GPT, like the text DaVinci 2 was available at the time, wasn't that good at generating code and it would generate like very, very short, very incomplete code snippets. And so we launched that last summer, got some traction, but really like we were only doing like, I don't know, maybe like 10,000 searches a day. [00:28:15]Alessio: Some people knew about it. [00:28:16]Michael: Some people used it, which is impressive because looking back, the product like was not that good. And every time we've like made an improvement to the way that we retrieve context through better embeddings, more intelligent, like HTML parsers, and importantly, like better underlying models. Every major version after that was when we introduced a better underlying answering model. Like in February, we had to swallow a bit of our pride when we were like, okay, our own models aren't good enough. We have to go to open AI. And actually that did lead to kind of like our first decent bump of traffic in February. And people kept using it, like our attention was way better too. But we were still kind of running into problems of like more advanced reasoning. Some people tried it, but people were leaving because even like GPT 3.5, both turbo and non-turbo, like still not that great at doing like code related reasoning beyond the how do you do X, like documentation search type of use case. And so it was really only when GPT 4 came around in April that we were like, okay, like this is like our first real opportunity to really make this thing like the way that it should have been all along. And having GPT 4 as the brain is what led to that Hacker News post. And so what we did was we just let anyone use GPT 4 on Fyne for free without a login, [00:29:43]Alessio: which I actually don't regret. [00:29:45]Michael: So it was very expensive, obviously. But like at that stage, all we needed to do was show like, we just needed to like show people here's what Fyne can do. That was the main thing. And so that worked. That worked. [00:29:58]Alessio: Like we got a lot of users. [00:29:59]Michael: Do you know Fireship? [00:30:01]Swyx: Yeah. YouTube, Jeff Delaney. [00:30:03]Michael: Yeah. He made a short about Fyne. [00:30:06]Alessio: Oh. [00:30:07]Michael: And that's on top of the Hacker News post. And that's what like really, really made it blow up. It got millions of views in days. And he's just funny. Like what I love about Fireship is like he like you guys, yeah, like humor goes a long a long way towards like really grabbing people's attention. And so that blew up. [00:30:25]Swyx: Something I would be anxious about as a founder during that period, so obviously we all remember that pretty closely. So there were a couple of people who had access to the GPT-4 API doing this, which is unrestricted access to GPT-4. And I have to imagine OpenAI wasn't that happy about that because it was like kind of de facto access to GPT-4 before they released it. [00:30:46]Alessio: No, no. [00:30:47]Michael: GPT-4 was in chat GPT from day one. I think. OpenAI actually came to our support because what happened was we had people building unofficial APIs around to try to get free access to it. And I think OpenAI actually has the right perspective on this where they're like, OK, people can do whatever they want with the API if they're paying for it, like they can do whatever they want, but it's like not OK if, you know, paying customers are being exploite by these other actors. They actually got in touch with us and they helped us like set up better Cloudflare bot monitoring controls to effectively like crack down on those unofficial APIs, which we're very happy about. But yeah, so we launched GPT-4. A lot of people come to the product and yeah, for a long time, we're just we're figuring out like what do we make of this, right? How do we a make it better, but also deal with like our costs, which have just like massively, massively ballooned. Over time, it's become more clear with the release of Llama 2 and Llama 3 on the horizon that we will once again see a return to vertical applications running their own models. As was true last year and before, I think that GPT-4, my hypothesis is that the jump from 4 to 4.5 or 4 to 5 will be smaller than the jump from 3 to 4. And the reason why is because there were a lot of different things. Like there was two plus, effectively two, two and a half years of research that went into going from 3 to 4. Like more data, bigger model, all of the instruction tuning techniques, RLHF, all of that is known. And like Meta, for example, and now there's all these other startups like Mistral too, like there's a bunch of very well-funded open source players that are now working on just like taking the recipe that's now known and scaling it up. So I think that even if a delta exists, the delta between in 2024, the delta between proprietary and open source won't be large enough that a startup like us with a lot of data that we've collected can take the data that we have, fine tune an open source model, and like be able to have it be better than whatever the proprietary model is at the time. That's my hypothesis.Michael: But we'll once again see a return to these verticalized models. And that's something that we're super excited about because, yeah, that brings us to kind of the fine model because the plan from kind of the start was to be able to return to that if that makes sense. And I think now we're definitely at a point where it does make sense because we have requests from users who like, they want longer context in the model, basically, like they want to be able to ask questions about their entire code base without, you know, context and retrieval and taking a chance of that. Like, I think it's generally been shown that if you have the space to just put the raw files inside of a big context window, that is still better than chunking and retrieval. So there's various things that we could do with longer context, faster speed, lower cost. Super excited about that. And that's the direction that we're going with the fine model. And our big hypothesis there is precisely that we can take a really good open source model and then just train it on absolutely all of the high quality data that we can find. And there's a lot of various, you know, interesting ideas for this. We have our own techniques that we're kind of playing with internally. One of the very interesting ideas that I've seen, I think it's called Octopack from BigCode. I don't think that it made that big waves when it came out, I think in August. But the idea is that they have this data set that maps GitHub commits to a change. So basically there's all this really high quality, like human made, human written diff data out there on every time someone makes a commit in some repo. And you can use that to train models. Take the file state before and like given a commit message, what should that code look like in the future? [00:34:52]Swyx: Got it. [00:34:53]Alessio: Do you think your HumanEval is any good?Michael: So we ran this experiment. We trained the Phind model. And if you go to the BigCode leaderboard, as of today, October 5th, all of our models are at the top of the BigCode leaderboard by far. It's not close, particularly in languages other than Python. We have a 10 point gap between us and the next best model on JavaScript. I think C sharp, multilingual. And what we kind of learned from that whole experience releasing those models is that human eval doesn't really matter. Not just that, but GPT-4 itself has been trained on human eval. And we know this because GPT-4 is able to predict the exact docstring in many of the problems. I've seen it predict like the specific example values in the docstring, which is extremely improbable. So I think there's a lot of dataset contamination and it only captures a very limited subset of what programmers are actually doing. What we do internally for evaluations are we have GPT-4 score answers. GPT-4 is a really good evaluator. I mean, obviously it's by really good, I mean, it's the best that we have. I'm sure that, you know, a couple of months from now, next year, we'll be like, oh, you know, like GPT-4.5, GPT-5, it's so much better. Like GPT-4 is terrible, but like right now it's the best that we have short of humans. And what we found is that when doing like temperature zero evals, it's actually mostly deterministic GPT-4 across runs in assigning scores to two different answers. So we found it to be a very useful tool in comparing our model to say, GPT-4, but yeah, on our like internal real world, here's what people will be asking this model dataset. And the other thing that we're running is just like releasing the model to our users and just seeing what they think. Because that's like the only thing that really matters is like releasing it for the application that it's intended for, and then seeing how people react. And for the most part, the incredible thing is, is that people don't notice a difference between our model and GPT-4 for the vast majority of searches. There's some reasoning problems that GPT-4 can still do better. We're working on addressing that. But in terms of like the types of questions that people are asking on find, there's not that much difference. And in fact, I've been running my own kind of side by side comparisons, shout out to GodMode, by the way. [00:37:16]Michael: And I've like myself, I've kind of confirmed this to be the case. And even sometimes it gives a better answer, perhaps like more concise or just like better implementation than GPT-4, which that's what surprises me. And by now we kind of have like this reasoning is all you need kind of hypothesis where we've seen emerging capabilities in the find model, whereby training it on high quality code, it can actually like reason better. It went from not being able to solve world problems, where riddles were like with like temporal placement of objects and moving and stuff like that, that GPT-4 can do pretty well. We went from not being able to do those at all to being able to do them just by training on more code, which is wild. So we're already like starting to see like these emerging capabilities. [00:37:59]Swyx: So I just wanted to make sure that we have the, I guess, like the model card in our heads. So you started from Code Llama? [00:38:07]Alessio: Yes. [00:38:08]Swyx: 65, 34? 34. [00:38:10]Michael: So unfortunately, there's no Code Llama 70b. If there was, that would be super cool. But there's not. [00:38:15]Swyx: 34. And then, which in itself was Llama 2, which is on 2 trillion tokens and the added 500 billion code tokens. Yes. [00:38:22]Michael: And you just added a bunch more. [00:38:23]Alessio: Yeah. [00:38:24]Michael: And they also did a couple of things. So they did, I think they did 500 billion, like general pre-training and then they did an extra 20 billion long context pre-training. So they actually increased the like max position tokens to 16k up from 8k. And then they changed the theta parameter for the ROPE embeddings as well to give it theoretically better long context support up to 100k tokens. But yeah, but otherwise it's like basically Llama 2. [00:38:50]Swyx: And so you just took that and just added data. [00:38:52]Michael: Exactly. [00:38:53]Swyx: You didn't do any other fundamental. [00:38:54]Michael: Yeah. So we didn't actually, we haven't yet done anything with the model architecture and we just trained it on like many, many more billions of tokens on our own infrastructure. And something else that we're taking a look at now is using reinforcement learning for correctness. One of the interesting pitfalls that we've noticed with the Phind model is that in cases where it gets stuff wrong, it sometimes is capable of getting the right answer. It's just, there's a big variance problem. It's wildly inconsistent. There are cases when it is able to get the right chain of thought and able to arrive [00:39:25]Alessio: at the right answer, but not always. [00:39:27]Michael: And so like one of our hypotheses is something that we're going to try is that like we can actually do reinforcement learning on, for a given problem, generate a bunch of completions and then like use the correct answer as like a loss basically to try to get it to be more correct. And I think there's a high chance I think of this working because it's very similar to the like RLHF method where you basically show pairs of completions for a given question except the criteria is like which one is like less harmful. But here we have a different criteria. But if the model is already capable of getting the right answer, which it is, we're just, we just need to cajole it into being more consistent. [00:40:06]Alessio: There were a couple of things that I noticed in the product that were not strange but unique. So first of all, the model can talk multiple times in a row, like most other applications is like human model, human model. And then you had outside of the thumbs up, thumbs down, you have things like have DLLM prioritize this message and its answers or then continue from this message to like go back. How does that change the flow of the user and like in terms of like prompting it, yeah, what are like some tricks or learnings you've had? [00:40:37]Michael: So yeah, that's specifically in our pair programmer mode, which is a more conversational mode that also like asks you clarifying questions back if it doesn't fully understand what you're doing and it kind of it holds your hand a bit more. And so from user feedback, we had requests to make more of an auto GPT where you can kind of give it this problem that might take multiple searches or multiple different steps like multiple reasoning steps to solve. And so that's the impetus behind building that product. Being able to do multiple steps and also be able to handle really long conversations. Like people are really trying to use the pair programmer to go from like sometimes really from like basic idea to like complete working code. And so we noticed was is that we were having like these very, very long threads, sometimes with like 60 messages, like 100 messages. And like those become really, really challenging to manage the appropriate context window of what should go inside of the context and how to preserve the context so that the model can continue or the product can continue giving good responses, even if you're like 60 messages deep in a conversation. So that's where the prioritized user messages like comes from. It's like people have asked us to just like let them pin messages that they want to be left in the conversation. And yeah, and then that seems to have like really gone a long way towards solving that problem, yeah. [00:41:54]Alessio: And then you have a run on Replit thing. Are you planning to build your own repl? Like learning some people trying to run the wrong code, unsafe code? [00:42:03]Michael: Yes. Yes. So I think like in the long term vision of like being a place where people can go from like idea to like fully working code, having a code sandbox, like a natively integrated code sandbox makes a lot of sense. And replit is great and people use that feature. But yeah, I think there's more we can do in terms of like having something a bit closer to code interpreter where it's able to run the code and then like recursively iterate on it. Exactly. [00:42:31]Swyx: So you're working on APIs to enable you to do that? Yep. So Amjad has specifically told me in person that he wants to enable that for people at the same time. He's also working on his own models, and Ghostwriter and you know, all the other stuff. So it's going to get interesting. Like he wants to power you, but also compete with you. Yeah. [00:42:47]Michael: And like, and we love replit. I think that a lot of the companies in our space, like we're all going to converge to solving a very similar problem, but from a different angle. So like replit approaches this problem from the IDE side. Like they started as like this IDE that you can run in the browser. And they started from that side, making coding just like more accessible. And we're approaching it from the side of like an LLM that's just like connected to everything that it needs to be connected to, which includes your code context. So that's why we're kind of making inroads into IDEs, but we're kind of, we're approaching this problem from different sides. And I think it'll be interesting to see where things end up. But I think that in the long, long term, we have an opportunity to also just have like this general technical reasoning engine product that's potentially also not just for, not just for programmers. It's also powered in this web interface, like where there's potential, I think other things that we will build that eventually might go beyond like our current scope. [00:43:49]Swyx: Exciting. We'll look forward to that. We're going to zoom out a little bit into sort of AI ecosystem stories, but first we got to get the Paul Graham, Ron Conway story. [00:43:59]Alessio: Yeah. [00:44:00]Michael: So flashback to last summer, we're in the YC batch. We're doing the summer batch, summer 22. So the summer batch runs from June to September, approximately. And so this was late July, early August, right around the time that many like YC startups start like going out, like during up, here's how we're going to pitch investors and everything. And at the same time, me and my co-founder, Justin, we were planning on moving to New York. So for a long time, actually, we were thinking about building this company in New York, mainly for personal reasons, actually, because like during the pandemic, pre-ChatGPT, pre last year, pre the AI boom, SF unfortunately really kind of, you know, like lost its luster. Yeah. Like no one was here. It was far from clear, like if there would be an AI boom, if like SF would be like... [00:44:49]Alessio: Back. [00:44:50]Michael: Yeah, exactly. Back. As everyone is saying these days, it was far from clear. And so, and all of our friends, we were graduating college because like we happened to just graduate college and immediately start YC, like we didn't even have, I think we had a week in between. [00:45:06]Swyx: You didn't bother looking for jobs. You were just like, this is what we want to do. [00:45:08]Michael: Well, actually both me and my co-founder, we had jobs that we secured in 2021 from previous internships, but we both, funny enough, when I spoke to my boss's boss at the company at where I reneged my offer, I told him we got into YC, they actually said, yeah, you should do YC. [00:45:27]Swyx: Wow. [00:45:28]Alessio: That's very selfless. [00:45:29]Swyx: That was really great that they did that. But in San Francisco, they would have offered to invest as well. [00:45:33]Michael: Yes, they would have. But yeah, but we were both planning to be in New York and all of our friends were there from college at this point, like we have this whole plan where like on August 1st, we're going to move to New York and we had like this Airbnb for the month of New York. We're going to stay there and we're going to work and like all of that. The day before we go to New York, I called Justin and I just, I tell him like, why are we doing this? Because in our batch, by the time August 1st rolled around, all of our mentors at YC were saying like, hey, like you should really consider staying in SF. [00:46:03]Swyx: It's the hybrid batch, right? [00:46:04]Michael: Yeah, it was the hybrid batch, but like there were already signs that like something was kind of like afoot in SF, even if like we didn't fully want to admit it yet. And so we were like, I don't know, I don't know. Something kind of clicked when the rubber met the road and it was time to go to New York. We're like, why are we doing this? And like, we didn't have any good reasons for staying in New York at that point beyond like our friends are there. So we still go to New York because like we have the Airbnb, like we don't have any other kind of place to go for the next few weeks. We're in New York and New York is just unfortunately too much fun. Like all of my other friends from college who are just, you know, basically starting their jobs, starting their lives as adults. They just stepped into these jobs, they're making all this money and they're like partying and like all these things are happening. And like, yeah, it's just a very distracting place to be. And so we were just like sitting in this like small, you know, like cramped apartment, terrible posture, trying to get as much work done as we can, too many distractions. And then we get this email from YC saying that Paul Graham is in town in SF and he is doing office hours with a certain number of startups in the current batch. And whoever signs up first gets it. And I happen to be super lucky. I was about to go for a run, but I just, I saw the email notification come across the street. I immediately clicked on the link and like immediately, like half the spots were gone, but somehow the very last spot was still available. And so I picked the very, very last time slot at 7 p.m. semi-strategically, you know, so we would have like time to go over. And also because I didn't really know how we're going to get to SF yet. And so we made a plan that we're going to fly from New York to SF and back to New York in one day and do like the full round trip. And we're going to meet with PG at the YC Mountain View office. And so we go there, we do that, we meet PG, we tell him about the startup. And one thing I love about PG is that he gets like, he gets so excited. Like when he gets excited about something, like you can see his eyes like really light up. And he'll just start asking you questions. In fact, it's a little challenging sometimes to like finish kind of like the rest of like the description of your pitch because like, he'll just like asking all these questions about how it works. And I'm like, you know, what's going on? [00:48:19]Swyx: What was the most challenging question that he asked you? [00:48:21]Michael: I think that like really how it worked. Because like as soon as like we told him like, hey, like we think that the future of search is answers, not links. Like we could really see like the gears turning in his head. I think we were like the first demo of that. [00:48:35]Swyx: And you're like 10 minutes with him, right? [00:48:37]Michael: We had like 45, yeah, we had a decent chunk of time. And so we tell him how it works. Like he's very excited about it. And I just like, I just blurted out, I just like asked him to invest and he hasn't even seen the product yet. We just asked him to invest and he says, yeah. And like, we're super excited about that. [00:48:55]Swyx: You haven't started your batch. [00:48:56]Michael: No, no, no. This is about halfway through the batch or two, two, no, two thirds of the batch. [00:49:02]Swyx: And you're like not technically fundraising yet. We're about to start fundraising. Yeah. [00:49:06]Michael: So we have like this demo and like we showed him and like there was still a lot of issues with the product, but I think like it must have like still kind of like blown his mind in some way. So like we're having fun. He's having fun. We have this dinner planned with this other friend that we had in SF because we were only there for that one day. So we thought, okay, you know, after an hour we'll be done, you know, we'll grab dinner with our friend and we'll fly back to New York. But PG was like, like, I'm having so much fun. Do you want to have dinner? Yeah. Come to my house. Or he's like, I gotta go have dinner with my wife, Jessica, who's also awesome, by the way. [00:49:40]Swyx: She's like the heart of YC. Yeah. [00:49:42]Michael: Jessica does not get enough credit as an aside for her role. [00:49:46]Swyx: He tries. [00:49:47]Michael: He understands like the technical side and she understands people and together they're just like a phenomenal team. But he's like, yeah, I got to go see Jessica, but you guys are welcome to come with. Do you want to come with? And we're like, we have this friend who's like right now outside of like literally outside the door who like we also promised to get dinner with. It's like, we'd love to, but like, I don't know if we can. He's like, oh, he's welcome to come too. So all of us just like hop in his car and we go to his house and we just like have this like we have dinner and we have this just chat about the future of search. Like I remember him telling Jessica distinctly, like our kids as kids are not going to know what like a search result is. Like they're just going to like have answers. That was really like a mind blowing, like inflection point moment for sure. [00:50:34]Swyx: Wow, that email changed your life. [00:50:35]Michael: Absolutely. [00:50:36]Swyx: And you also just spoiled the booking system for PG because now everyone's just going to go after the last slot. Oh man. [00:50:42]Michael: Yeah. But like, I don't know if he even does that anymore. [00:50:46]Swyx: He does. He does. Yeah. I've met other founders that he did it this year. [00:50:49]Michael: This year. Gotcha. But when we told him about how we did it, he was like, I am like frankly shocked that YC just did like a random like scheduling system. [00:50:55]Alessio: They didn't like do anything else. But, um. [00:50:58]Swyx: Okay. And then he introduces Duron Conway. Yes. Who is one of the most legendary angels in Silicon Valley. [00:51:04]Michael: Yes.So after PG invested, the rest of our round came together pretty quickly. [00:51:10]Swyx: I'm, by the way, I'm surprised. Like it's, it might feel like playing favorites right within the current batch to be like, yo, PG invested in this one. Right. [00:51:17]Alessio: Too bad for the others. [00:51:18]Swyx: Too bad for the others, I guess. [00:51:19]Michael: I think this is a bigger point about YC and like these accelerators in general is like YC gets like a lot of criticism from founders who feel like they didn't get value out of it. But like, in my view, YC is what you make of it. And YC tells you this. They're like, you really got to grab this opportunity, like buy the balls and make the most of it. And if you do, then it could be the best thing in the world. And if you don't, and if you're just kind of like a passive, even like an average founder in YC, you're still going to fail. And they tell you that. They're like, if you're average in your batch, you're going to fail. Like you have to just be exceptional in every way. With that in mind, perhaps that's even part of the reason why we asked PG to invest. And so yeah, after PG invested, the rest of our round came together pretty quickly, which I'm very fortunate for. And yeah, he introduced us to Ron. And after he did, I get a call from Ron. And then Ron says like, hey, like PG tells me what you're working on. I'd love to come meet you guys. And I'm like, wait, no way. And then we're just holed up in this like little house in San Mateo, which is a little small, but you know, it had a nice patio. In fact, we had like a monitor set up outside on the deck out there. And so Ron Conway comes over, we go over to the patio where like our workstation is. And Ron Conway, he's known for having like this notebook that he goes around with where he like sits down with the notebook and like takes very, very detailed notes. So he never like forgets anything. So he sits down with his notebook and he asks us like, hey guys, like, what do you need? And we're like, oh, we need GPUs. Back then, the GPU shortage wasn't even nearly as bad as it is now. But like even then, it was still challenging to get like the quota that we needed. And he's like, okay, no problem. And then like he leaves a couple hours later, we get an email and we're CC'd on an email that Ron wrote to Jensen, the CEO of Nvidia, saying like, hey, these guys need GPUs. [00:53:02]Swyx: You didn't say how much? It was just like, just give them GPUs. [00:53:04]Alessio: Basically, yeah. [00:53:05]Michael: Ron is known for writing these like one-liner emails that are like very short, but very to the point. And I think that's why like everyone responds to Ron. Everyone loves Ron. And so Jensen responds. He responds quickly, like tagging this VP of AI at Nvidia. And we start working with Nvidia, which is great. And something that I love about Nvidia, by the way, is that after that intro, we got matched with like a dedicated team. And at Nvidia, they know that they're going to win regardless. So they don't care where you get the GPUs from. They're like, they're truly neutral, unlike various sales reps that you might encounter at various like clouds and, you know, hardware companies, et cetera. They actually just want to help you because they know they don't care. Like regardless, they know that if you're getting Nvidia GPUs, they're still winning. So I guess that's a tip is that like if you're looking for GPUs like Nvidia, they'll help you do it. [00:53:54]Swyx: So just to tie up this thing, because so first of all, that's a fantastic story. And I just wanted to let you tell that because it's special. That is a strategic shift, right? That you already decided to make by the time you met Ron, which is we are going to have our own hardware. We're going to rack him in a data center somewhere. [00:54:11]Michael: Well, not even that we need our own hardware because actually we don't. Right. But we just we just need GPUs, period. And like every cloud loves like they have their own sales tactics and like they want to make you commit to long terms and like very non-flexible terms. And like there's a web of different things that you kind of have to navigate. Nvidia will kind of be to the point like, OK, you can do this on this cloud, this on this cloud. Like this is your budget. Maybe you want to consider buying as well. Like they'll help you walk through what the options are. And the reason why they're helpful is because like they look at the full picture. So they'll help you with the hardware. And in terms of software, they actually implemented a custom feature for us in Faster Transformer, which is one of their libraries.Swyx: For you? [00:54:53]Michael: For us. Yeah. Which is wild. I don't think they would have done it otherwise. They implemented streaming generation for T5 based models, which we were running at the time up until we switched to GPT in February, March of this year. So they implemented that just for us, actually, in Faster Transformer. And so like they'll help you like look at the complete picture and then just help you get done what you need to get done. I know one of your interests is also local models, open source models and hardware kind of goes hand in hand.Alessio: Any fun projects, explorations in the space that you want to share with local llamas and stuff? [00:55:27]Michael: Yeah, it's something that we're very interested in because something that kind of we're hearing a lot about is like people want something like find, especially comp

The rise of artificial intelligence in search engines is a game-changer for news publishers. Google's Search Generative Experience (SGE) is a clear indicator that AI's role in content dissemination is growing. While this presents challenges, it also opens up a realm of strategic possibilities. This blog post aims to expand on specific strategies that publishers can implement to mitigate the potential negative impacts on their traffic and to thrive in this new AI-driven environment. [source] Understanding Google's SGE AI-Powered Summaries: Google's SGE leverages AI to generate concise summaries for search queries, providing users with quick information without the need to...Article LinkLet us know your thoughts about this episode by reaching out on Social Media!Facebook: https://www.facebook.com/ourhometownincInstagram: https://www.instagram.com/ourhometownwebpublishing/Twitter: https://twitter.com/ourhometownincLinkedIn: https://www.linkedin.com/company/our-hometown-com/..........Our Hometown Web Publishing is The Last Newspaper CMS & Website You'll Ever Need.  We help you generate revenue, engage with readers, and increase efficiency with Our Hometown's Digital & PrePress CMS features to fit your needs & budget.OHT's Web Publishing Platform is:-Powered with WordPress-Hosted on Amazon Web Services-Integrated with Adobe InDesign & Google Drivehttps://our-hometown.comSubscribe to our YouTube channel: https://www.youtube.com/channel/UCKw6KpKUiQkWldrX2-J1Kag?view_as=subscriberOur-Hometown can be reached via email for comments or questions at: ops@Our-Hometown.com

Since its release, Google's new generative AI search tool, also known as Google SGE, has had a major impact on the way users interact with the search engine. Shifting away from Google as we knew it in the past where keywords reigned supreme, Google SGE supports – and even encourages – a conversational tone for search queries. For small law firms, a strong online presence is vital in attracting potential clients and establishing credibility. However, in an ever-changing digital landscape, it can be difficult to know what you need to be doing to adapt to new enhancements in technology.  In this episode of the Law Firm Marketing Decoded podcast, we will be going over a comprehensive guide of essential strategies for attorneys to maintain their law firm website's competitive advantage in the age of Google SGE.

In dieser Folge erfährst du alles über die letzten Google Updates und die Auswirkungen auf die SERPs und Rankings. Wir sprechen unter anderem über das Helpful Content Update, den Google Trial vor Gericht und was du daraus mitnehmen kannst, sowie die aktuellen Entwicklungen rund um Google's neue Suche "SGE". Wir bringen dich auf den aktuellen Stand der Dinge und zeigen dir gleichzeitig, wie du dein SEO-Game optimierst Viel Spaß!

Each week, Greg and Ben answer your questions on digital marketing for local businesses … local search engine optimization (SEO), Google Business Profile, social media, email marketing, websites, online advertising and more.Updates and QuestionsBright Local's SEO house of horrors for Friday the 13th.You can now text message Google Local Services Ads leads.Google tests a lite version of Search Generative Experience.Google SGE can now create images and text.How do I change the address when I go from brick and mortar to a Service Area Business?Should I use Yext?What is the difference between Suggest an Edit and using a redressal form?How do I delete a duplicate listing?Should I add EV Charging as a category?Is a band eligible for a GBP?Does the order of additional categories on a GBP matter?Are the metrics from GBP insights still inaccurate?Is there any benefit to using Apple Business Connect's Showcase feature?Is there a way to check interaction with website clicks from Apple Maps in GA?Is there a way to see a list of all GBP listings at an address?Do citations matter for ranking?Should I move my ecommerce site to my main website?How do I not get suspended if I am changing my business name and moving locations?Links mentioned in this session are available on our website at https://localmarketinginstitute.com

Google SGE,  un regard sur Alex Hormozi et un dossier sur Google Local Services !

AI Revolution October 2023 - Week 2: Major Announcements from OpenAI, Google, Microsoft, Meta, etc. https://youtu.be/LnKkKMaw_rcDive deep into the major AI developments and announcements from leading tech giants like OpenAI, Google, Microsoft, Adobe, Meta, and more in the second week of October 2023. This podcast episode covers:Introduction to OpenAI's GPT-4 Vision and its potential rival, LLaVA-1.5.Perplexity.ai's new breakthroughs.Microsoft's steps to reduce Nvidia GPU costs with their new AI chip.Insight into Anthropic's research making AI more comprehensible.Google Cloud's advancements in generative AI for healthcare.SAP's innovative AI applications in spend management.Adobe's unveiling of 100+ new AI features.Docker's offerings for AI developers.ElevenLabs' AI-driven solution to linguistic barriers.The latest updates about Tesla's Dojo Supercomputer.Replit's initiative to democratize AI for developers.OpenAI's developer-focused strategies and model development insights.Google SGE's advancements in image generation and draft creation.Subscribe and stay tuned for more weekly AI news updates.Full transcript: https://enoumen.com/2023/10/02/ai-revolution-in-october-2023-the-latest-innovations-reshaping-the-tech-landscape/Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today: https://amzn.to/3ZrpkCu

In response to the growing popularity of ChatGPT and other numerous AI tools, Google has thrown their hat into the ring with the addition of an AI-powered search generative experience for its users earlier this year. To compete with the information exchange that is experienced when using AI softwares such as ChatGPT, Google aims to "reduce the number of steps it takes for the searcher to accomplish a task or complete a goal with this new tool." When considering the primary goal of your law firm website, which is to deliver information and give potential clients a way to get in touch, it prompts us to wonder: what can lawyers learn from Google's latest tool? In this episode of the Law Firm Marketing Decoded podcast, we will review the basics of Google's generative AI search tool, which I will be referring to as Google SGE, and explore how lawyers can take a page from Google's playbook to improve the conversion power of their law firm website.

Google bringt Search Generative Experience lite Sicherheitsforschende warnen vor LoveGPT Öffentliche Debatte zu KI-Regeln gefordert und Promptbreeder verbessert sich selbst heise.de/ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast

Sök och SEO är på väg att förändras för alltid. Bing Chat, ChatGPT, Bard och en rad andra AI-verktyg har fått stort genomslag och nu testar Google på allvar generativ AI i sök. Så i det här avsnittet pratar jag och Ulrika om Googles Search Generative Experience samt vad det kan komma att betyda för sökupplevelsen framöver. Och hur generativ AI påverkar hur vi arbetar med SEO redan idag. Ulrika går inte minst igenom vad SGE är, hur det fungerar och hur det ser ut att påverka olika typer av sökningar och sökintentioner. Hon delar också sina tankar kring det samt vad SEO-communityn tycker. Och hur det kan komma att påverka organisk trafik. Du får dessutom höra om: Varför shopping-sök påverkas extra Vinnare och förlorare i framtidens sök Hur sajtägare kan förbereda sig Vad vi vet om hur man optimerar för SGE Hur hon ser på AI-genererat innehåll Ulrika berättar även om hur hon använder AI-verktyg i SEO-arbetet idag och vad hon anser är de bästa användningsområdena just nu. Om gästen Ulrika Viberg är en av Sveriges främsta SEO-personligheter och driver egna byrån Unikorn. Hon har arbetat med sök sedan 2007 och med SEO på några av världens största bolag. Eller vad sägs om eBay, Rocket Internet, eDreams och Omnicom Group. Hon har bland annat varit med i uppstarten av Foodora som Head of SEO. Hon har även varit med i podden ett par gånger tidigare och har några av de mest lyssnade avsnitten. Och hon är som sagt även med i min expertpanel. Tidsstämplar [3:09] Om vad Search Generative Experience är och hur det fungerar i praktiken. [4:45] Vad som skiljer på SGE, nya Bing och olika AI-verktyg som ChatGPT, Bing Chat och Bard. Plus skillnaden på index och corpus. [10:15] Vilken roll fyller AI-verktyg i framtidens sök. Och vad generativ AI innebär för sökupplevelsen framöver. [14:48] Ulrika om hennes egna erfarenhet av SGE och vilken typ av sökningar som ser ut att påverkas mest. [20:06] Om vad andra i SEO-communityn tycker om SGE. Och hur Ulrika och andra tror att det här kan komma att påverka organisk trafik. [27:32] Vilka som är vinnare och förlorare på SGE och den här typen av sökupplevelse. [33:04] Vad vi vet om hur man optimerar för SGE och varför varumärkesbyggande får en teknisk komponent framöver. [38:09] Hur Ulrika ser att generativ AI påverkar hur vi arbetar med SEO som disciplin. Och de främsta användningsområdena på området. [42:53] Om hur hon ser på AI-genererat innehåll. [46:50] Vad SGE och framtidens sök betyder för SEO-byråer och branschen i stort. Länkar Ulrika Viberg på LinkedIn Ulrika Viberg på Twitter Unikorn webbsida SEO med användaren i fokus: Ulrika Viberg #52 (poddavsnitt) Sajtstruktur med SEO och användaren i fokus: Ulrika Viberg #62 (poddavsnitt) Search Labs - Här signar du upp för att testa SGE (resurs) Google Offical Blog for Search (blogg) Google's Vision for Search in 2023 and Beyond - Marie Haynes (artikel) Google's Helpful Content & Other AI Systems May Be Impacting Your Site's Visibility - Marie Haynes (artikel) Insights from 50+ Experts: Unraveling the Impact of AI on SEO - Uprankly (artikel) Conversion Jam - Sveriges och Nordens främsta event om konverteringsoptimering och growth (samarbete) rabattkod TONY Artikel om Veckans Martech: Rule (samarbete)

SEO-experten Jorge Castro är tillbaka i poddstudion i detta avsnitt av Framtidens E-Handel och pratar om hur AI är tillämpbart för e-handlare.13:45 min - Vad är EEAT och YMYL?25:45 min - Vad kan man mer göra med AI kombinerat med SEO förutom innehåll? Hur kan man undvika misstag när man automatiserar? Hur kan man jobba med PR? Och hur man kan effektivisera sin vardag som bolagsbyggare.46:00 min - Hur ser framtiden ut? Jorge presenterar sin nya bok Framtidens SEO med Jorge Castro. Även med i avsnitt 128 & 153.Här hittar du Jorge & Unna:https://www.linkedin.com/in/growthmarketing-se/?originalSubdomain=se https://growthmarketing.se/ Följ Björn på LinkedInhttps://www.linkedin.com/in/bjornspenger/ Följ Framtidens E-handel på LinkedInhttps://www.linkedin.com/company/framtidens-e-handel/ Besök vår hemsida & Instagramhttps://www.framtidensehandel.se/ https://www.instagram.com/framtidens.ehandel/ Sponsorhttps://www.treyd.io/ Poddklipparehttps://www.linkedin.com/in/michaela-dorch-6a9a84113/ Tusen tack för att du lyssnar!Support till showen http://supporter.acast.com/framtidens-e-handel. Hosted on Acast. See acast.com/privacy for more information.

Google's doing what? We have lots of Google news for you today, and some might make you scratch your head. ChatGPT is losing momentum, have they finally hit a plateau? Google SGE is looking a little messy… c'mon Google! Welcome back to another episode of news from The EDGE, bringing you everything you need to thrive as an SEO! News from the EDGE: [00:04:50] Google is making your pages faster, automatically— if your users have Chrome [00:11:56] Over 200 thousand WordPress installs may be affected by a contact form builder plugin [00:13:39] EDGE of the Web Title Sponsor: Site Strategics [00:14:20] Google is limiting the reach of ad campaigns for new advertisers who have not yet established trust [00:19:19] EDGE of the Web Sponsor: edgeofthewebradio.com/inlinks AI Blitz: [00:20:31] US Copyright Office wants to hear what people think about AI and copyright  [00:22:38] Reddit launches AI-powered keyword research tool  [00:24:09] We Analyzed Millions of ChatGPT User Sessions: Visits are Down 29% since May, Programming Assistance is 30% of Use  AI Tools: [00:29:08] Audiosonic- Instant production of human-like speech from text  [00:30:20] Pictory- Automatically create short, branded videos from long-form content  [00:31:59] GPT Zero- Detect whether an essay is ChatGPT or human-written  Barry Blast from Search Engine Roundtable: [00:33:32] Google Search Generative Experience officially rolls out links to webpages within answers  Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site     Inlinks https://edgeofthewebradio.com/inlinks Follow Us: Twitter: @ErinSparks Twitter: @MordyOberstein Twitter: @TheMann00 Twitter: @EDGEWebRadio #StandwithUkraine edgeofthewebradio.com/ukraine

KI übernimmt keine Verantwortung bei Salesforce US-Regierung begrenzt Exporte von Nvidia-KI-Chips Google rollt generative KI-Suche in weitere Länder aus Und Nutzerdaten fürs KI-Training bei X heise.de/ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast

This week, we continue to track the Google August 2023 core update, where we saw volatility last weekend and mid-week. Google Search Generative Experience gained links, expanded to India and Japan, added listen features...

Welcome back to another episode of the Niche Pursuits News podcast. This week's show is hosted by Jared Bauman, from 201 Creative, and Jacky Chou, the digital asset investor entrepreneur behind Indexsy, Far & Away, and several other businesses. The episode kicks off with the latest about SGE, which can now be used when browsing and also offers users the option of summarizing the article they're reading. Jared shares a small experiment he did to see how well the summarization function works, comparing SGE with Claude and ChatGPT4, and they talk about the implications for content creators. Will this reduce the time on page? Will it lower ad or affiliate revenue? How will it affect smaller sites vs. authority sites and article length? Is this good news for end users or site owners? The conversation then shifts to how Tim Soulo, from Ahrefs, recently asked for feedback on Reddit. The company received a lot of backlash on the platform from unhappy users and Jared and Jacky talk about why they think that is and whether or not they believe it's justified. The next topic is a highly controversial tweet by Google's John Mueller, who says “A page doesn't have to be on a site that's “related to the niche” in order to be useful and helpful. You don't need to have a niche site in order to rank in Google, in fact, sometimes that's a good way not to rank.” His tweet really waded into a ton of topics and, perhaps most importantly, contradicts the concept of topical authority. Jared and Jacky talk about why Google may have said this, if they think it's true or not, and whether or not users should pay attention to it or ignore it. In the Shiny Object Shenanigans portion of the podcast, Jared begins by giving another update on this faceless YouTube channel which, sadly, still doesn't have enough subscribers to qualify for monetization. He does share some interesting statistics about the videos embedded on his website, he and Jacky talk about different aspects to improve on his channel, and he discusses his future plans on YouTube. Jacky then talks about parasite SEO and one of his side hustles where he's spinning up sites on Outlook India and redirecting penalized domains to them, the goal being to earn through Amazon Affiliates. If you want to know how it goes, follow him on Twitter. He also talks about a cold outreach strategy he's using at the moment and how it's going. As for their Weird Niche Sites, Jared shares The Hotdog which is, unsurprisingly, all about hot dogs. This DR31 site ranks for 12.8k keywords and has over 140 pages live. Although it doesn't appear to be monetized, it does look like a brand play. Jacky shares the site he found, Beaming Health, which helps users find specific therapists for their kids. He talks about how the autism services market is worth $7 billion and growing, and how search volume for these terms has been increasing by 50-60% each year. He shares a few business ideas related to this niche that he sees as potentially profitable. Thanks for tuning into another great episode of the Niche Pursuits News podcast. We hope you're feeling informed and inspired. See you next week! Be sure to get more content like this in the Niche Pursuits Newsletter Right Here: https://www.nichepursuits.com/newsletter Want a Faster and Easier Way to Build Internal Links? Get $15 off Link Whisper with Discount Code "Podcast" on the Checkout Screen: https://www.nichepursuits.com/linkwhisper

Google launched some new Search Generative Experience features, like SGE while browsing and definitions in the SGE answers. Google seems to have stopped testing displaying links in SGE AI-generated answers. Google said navigational queries...

New Local ad format,  Updated GBP Guideline clarifies policies, Google SGE shows reference links:New Local Ad format is a local ad as local ads should beGoogle seems to have rolled out a new ad unit that relies on local assets like GBP photos for the the creatives. The ads include a map, review ratings and an image are very eye-catching and appear to be extremely easy to create and use. This is the ad that Google should have made available to local advertisers from day one.New GBP Guidelines clarify long “secret” policies:Google rolled out a number of new policy statements regarding the rules guiding suspensions and content take downs affecting Google Business Profiles (GBP). These guidelines, long the working rules that affected listings and listing content, now make explicit how a user accounts and abuses affect whether a business continues to have access to any given listing or whether that listing will be removed from Google.  While this increased clarity is welcome the devil is in the details.Google SGE finally includes reference links:Rather than just straight up plagiarism of the recent past, Google's new AI based search test is now testing three different ways of including links in the “search generative experience (SGE). Some of these link tests make the links more obvious than others. However none of this pertains to local as there Google solely references their Local Knowledge Graph and GBP listings. In most of these cases, to get to the business website requires 2 clicks (go figure). While the SGE experience is improving it still has a ways to go to be better than the current search experience.The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.NearMedia Ep122Subscribe to our 3x per week newsletter at https://www.nearmedia.co/subscribe/

In dieser Woche gab es viel Neues rund um SGE, Googles neue KI-Suche. Dort werden aktuell Content-Links im AI-Snapshot getestet. Außerdem hat Google einige Neuerungen verkündet: Die Antworten des KI-Chats kommen jetzt schneller, es wird bald Videos in manchen Antworten geben, und die Links in den Chat-Antworten erhalten ein Datum. Google hat die Richtlinien für die Angabe von Öffnungszeiten in Google Business Profile erweitert. Bestimmte Einrichtungen wie zum Beispiel Hotels oder Kinos sollen keine Öffnungszeiten angeben. John Müller von Google hat erklärt, warum Google in vielen Fällen den Title für die Anzeige in den Suchergebnissen ändern muss. Das liegt auch an den vielen Verwendungszwecken für die Title-Elemente. In verschiedenen Antworten von Google SGE scheinen Männer bevorzugt zu werden, zum Beispiel dann, wenn man nach den einflussreichsten Musikern fragt. Hat Google SGE ein Sexismusproblem?

This week we covered a possible Google algorithm updater yesterday and today. We also covered how the new Google Search Generative Experience now can show both links to sources and videos in the answer snapshots. Google SGE also has these new “from Google” cards in the answers...

Mordy's in a Box! Crystal Carter, Head of SEO Communications at Wix, joins the EDGE team in the absence of Mordy, who evidently has box issues.  A whirlwind of news, we covered X ad revenue (got to have at least 15M impressions, sorry), SGE testing links and Product Rating AI policies.  We dove in to the AI side deeply and came out with a huge win!  We now can all have Mordy's desk as a virtual background!  This is for all of the #SEO community!  Go to MordysRingTone.com today to download the image for your virtual upgrade! News from the EDGE: [00:05:32] X launches creator ads revenue sharing program [00:10:21] EDGE of the Web Title Sponsor: Site Strategics [00:11:25] Universal Analytics still processing data one month after ‘sunset' [00:18:08] Google testing links directly in Search Generative Experience snapshot answers [00:23:34] EDGE of the Web Sponsor: BrightLocal [00:24:48] Google Updates Product Ratings Policies On Automated AI Content AI Tools: [00:30:16] 15 YouTube Video Summarizer AI Tools to Check Out [00:31:13] NicheBot- Find niche business ideas with AI  [00:32:53] Castmagic- Turn long-form audio into ready-to-use content assets, instantly [00:35:25] EDGE of the Web Sponsor: InLinks Barry Blast from Search Engine Roundtable: [00:37:25] Barry Blast 1: Content Written By Tapping Into Popular Searches Is Likely Not People-First Content Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site     Brightlocal  https://edgeofthewebradio.com/brightlocal  Inlinks https://edgeofthewebradio.com/inlinks Follow Us: Twitter: @ErinSparks Twitter: @MordyOberstein Twitter: @TheMann00 Twitter: @EDGEWebRadio #StandwithUkraine edgeofthewebradio.com/ukraine

In this episode of The SaaS SEO Show, we've interviewed Bianca Anderson, SEO Strategist at HubSpot and discussed the main pillars of Hubspot's SEO strategy, E-E-A-T and more..************************Timestamps: (00:00) - Intro (02:07) - Who is Bianca Anderson? (02:52) - Bianca's background. (05:25) - Is there a future for SEO? (07:44) - What is Hubspot? (09:40) - Is Hubspot's inbound marketing playbook still effective? (11:27) - The main pillars of Hubspot's EN blog SEO strategy. (15:30) - How is Hubspot preparing for upcoming changes in search? (20:00) - Thoughts on search perspectives and E-E-A-T. (21:58) - Maintaining Hubspot's content inventory. (27:04) - The ‘Heavy Hitter' process for optimizing blog posts. (29:28) - How to analyze Google's Algorithm updates? (33:46) - Thoughts on Google SGE. (37:10) - Best use cases of Generative AI. (41:08) - Bianca's thoughts on SaaS SEO. (43:45) - Learn more about Bianca and Hubspot and get in touch. (44:52) - Outro ************************Useful Links:Website: https://www.hubspot.com/Bianca on LinkedIn: https://www.linkedin.com/in/bianca-anderson/************************Stay Tuned:► Website: https://minuttia.com► YouTube: https://bit.ly/2DHaJNr► LinkedIn: https://bit.ly/2BZJmhb************************Don't forget to leave us a five-star review and subscribe to our YouTube channel.This episode is sponsored by Ahrefs.Visit https://ahrefs.com/awt and sign up for free!

Eine Folge live aus München von der TalentPro 2023. Vollgepackt mit lustigem, spannenden Google Updates, Neuerungen von XING / Onlyfy zu eurer Response Rate, Apples Mixed Reality Brille Vision Pro und einem virtuellen Recruiting Assistan - viel Spaß!

Glenn Gabe is back for more on The EDGE! Glenn has over 27 years of experience in SEO, plays as a major contributor in the field. This week we discuss the current state of the SEO industry and Google SGE. Glenn gives real life scenarios of mistakes he's seen throughout the years so you don't make them yourself. Plus, a some AI talk sprinkled throughout! Stay up to date with the OG himself, on this must-listen feature of The EDGE of The Web SEO Podcast!  [00:00:42] Introducing GSQI SEO Consultant, Glenn Gabe   [00:04:39] Should Sites be Optimizing for SGE? [00:07:25] What Impact Does Featured Snippets Have on Links? [00:11:03] How do Sites Achieve Featured Snippets? [00:12:12] How Can SEO's Move Forward With AI Content? [00:14:51] How Will Google Respond to the Severe Influx of AI Content? [00:17:21] EDGE of the Web Title Sponsor: Site Strategics [00:18:06] Do AI Tools Provide False Positives on Human Generated Content? [00:21:19] The One Thing Holding AI Back [00:24:01] Beware of the Disavow Tool! [00:35:38] EDGE of the Web Title Sponsor: Wix [00:36:29] Pro Tip From Glenn Gabe Thanks to our sponsors! Site Strategics http://edgeofthewebradio.com/site   Wix: http://edgeofthewebradio.com/wix   Follow our Guest https://twitter.com/glenngabe https://www.facebook.com/gsquaredinteractive https://www.linkedin.com/in/glenngabe/ https://mas.to/@glenngabe

► Is generative AI and SGE (Search Generative Experience) gonna kill SEO?

Apple Maps & Local Opportunities: Apple Maps is ACTUALLY used for local discovery and it appears to be sending more traffic than either Yelp or Bing. According to Apple insights at least 28% of clicks came from category searches. While  Apple Maps generates ~5% of the web visits and perhaps 10% of the phone calls of GBP, that is enough to put Apple Maps in second place as a source of local leads. Interestingly having access to both Apple and Google Maps driving direction clicks we can estimate Apple Maps market share at about 40% of all iPhone users Learnings from going undercover as a quality rater for Google: Cyrus Shepard signed up to be a Google Quality Rater and doing so allowed him to provide additional insights into what Google thinks is important. The details of  content, user intent, and web page quality understanding clearly inform the algo and provide a basis for Google's results particularly in “your money and your life” categories. Is Google's AI based SGE a dead end or the future of search?Initial excitement around Google's AI response to bing chat raised hopes of a better user experience with search. The product, being slow and often not informative, has not really done that. And, at least according to this limited Twitter poll, users are using it less. Is it all just theater?The Near Memo is a weekly conversation about Search, Social, and Commerce: What happened, why it matters, and the implications for local businesses and national brands.near memo ep 120Subscribe to our 3x per week newsletter at https://www.nearmedia.co/subscribe/

ChatGPT hat uns die letzten sechs Monate in Atem gehalten. Aber wie geht's weiter mit GPT? Welche Tricks gibt es beim Prompt Engineering? Was passiert in rechtlicher und legislativer Sicht? Und wie sind Bing Chat und Google SGE zu bewerten? Reden wir drüber – mit Kai Spriestersbach, der das Buch „Richtig texten mit KI“ geschrieben hat. Episode/Transcript/Shownotes: https://bloo.link/sc282 Noch mehr von Bloofusion für Dich? https://www.bloofusion.de/hallo

The Generative AI News (GAIN) rundown this week was recorded on June 29, 2023. Some special segments include: Generative AI search metrics compare wait time and word production per answer for Bing Chat, Perplexity, and Google SGE. The venture capital and acquisition funding fountain flowed again with a giant acquisition, financing rounds for CalypsoAI, Loora, and investment by Amazon and the UK's NHS. We also give you a new list of generative AI winners and losers of the week. Generative AI News     Links related to the top stories are included below for anyone that wants to dig deeper into a topic. Top Story of the Week This One Factor Could Kill Bing Chat Generative AI to Reach $1 Trillion in Annual Revenue 47% of Technology Leaders Say AI is Top Budget Priority Generative AI Funding Fountain Databricks Acquires MosaicML for $1.3 Billion CalypsoAI Raises $23 Million for AI Moderator and Security Solution Generative AI Education Startup Loora Raises $9.25 Million Generative AI Voice Startup Slang.ai Raises $20 Million Amazon Invests $100 Million in Generative AI Innovation Center UK Promised $27 Million to NHS for Generative AI Generative AI Product Garden Oracle Introduces Generative AI for HR Productivity Adobe will Cover Legal Bills if You Are Sued for Copyright When Using Firefly Inflection AI Rolls Out In-House LLM for Enterprise Users Josh.ai Infuses Generative AI into Smart Home Voice Assistant Big Brands in Generative AI Land AI Generates Images and Controversy for Marvel Wimbledon Uses IBM for Generative AI Tennis Commentary More About GAIN GAIN is recorded live and streamed via YouTube and LinkedIn on Thursdays. You can re-watch each week's discussion on Voicebot's YouTube channel. Please join us live next week on YouTube or LinkedIn. Also, please participate in the live show by commenting, and we are likely to give you a shoutout and may even show your comment on screen.

Nicht nur der Wettbewerb um die besten Rankings in der Suche ist eine Herausforderung. Mehr und mehr wird es zukünftig darum gehen, Inhalte überhaupt in den Index von Google und anderen Suchmaschinen zu bekommen. Die Zunahme der Inhalte im Web, auch durch die Erstellung von KI-Inhalten, sorgt für eine Verknappung, die viele Websites treffen wird. Daher rät Google dazu, die Erwartungen hinsichtlich der Indexierung zu senken. Die Dynamik auf den Suchergebnisseiten von Google wird immer stärker. Ein großes Update ist wahrscheinlich - vielleicht sogar eines, das Google bald bestätigen wird.  Nicht die Seiten mit den meisten Wörtern sollen automatisch die besten Rankings in Google belegen - sagt Google selbst. Es kommt nicht auf die Wortanzahl an. Bedeutet Googles neue KI-Suche Chancen oder Risiken für Websites mit informationsorientierten Inhalten? Beides ist möglich, was ein kleiner Test mit Google SGE zeigt. Google nimmt keine interne Kennzeichnung von KI-Inhalten vor. Als Trainingsdaten für die Ranking-Algorithmen werden aber von Menschen erstellte Inhalte verwendet.

ChatGPT and other Large Language Models (LLMs) are seemingly everywhere, and it's crucial to learn what's possible with them while acknowledging their flaws. After all, do LLMs have their intelligence? Is ChatGPT ready for “prime time,” or is it merely a toy that can lead to fake and error-laden stories?  President of Pilot Holding, Eric Enge, joined me on the SEJShow to share the truth behind the prevailing myths surrounding the generative AI landscape and how to succeed with the tools instead.  Discover the problems arising from placing too much trust in generative AI. You'll also find out what is possible and how to use it in your business best while avoiding the common mistakes associated with LLMs.   We must remember that the real problem is that this stuff is trained on the open internet. We have all the world's information on the web, and that's great, but we also have all the world's disinformation on the web and a lot of overtly intended misinformation. –Eric Enge,41:18 Anybody who thinks SEO is going away because of this doesn't understand SEO. As long as people want to search for and find things, and as long as there are tools to help people search for and find things, there will be SEO, end of story. –Eric Enge, 32:48 We're not at the point where this will supplant humans in all things. But we are at a point where we've developed a really interesting tool that can be used constructively and creatively in many different ways.–Eric Enge, 37:38   [00:00] - Introduction to Eric [04:21] - AI's current and future role in search & opportunities [09:36] - Effects of incorrect information on different Internet users [14:13] - Error reporting to Google: Best practices [15:25] - Preparing ecommerce sites for AI-enhanced search [21:02] - The role of content in local search results [23:52] - Evaluation of Google's source selection for search results [28:23] - Impact of Google's result integration on clicks and conversions [31:48] - Importance of brand visibility in search results [33:14] - Misunderstandings about AI's influence on search results [37:40] - Outlook on the future of ai systems [38:29] - Recent advancements in ai-generated output accuracy [41:18] - Web disinformation issues and their effect on ai models [44:22] - Strategies for ai-optimized business content [46:55] - AI's potential impact on online content credibility [48:33] - Importance of experts in enhancing ai-generated content [50:19] - Google's approach to evaluating content trustworthiness [51:49] - Insights on AI's role in future content generation and SEO   Resources Mentioned: Pilot Holding: https://www.pilotholding.com/   Right now, we have this massive paradigm shift or the preparation for the shift. We're definitely in the infant stages. Most of us SEOs have Google SGE running on our browsers. We're doing queries daily. We're getting scared or anxious every time we do a query. Now we're seeing an article appear before the typical organic results. We must keep reminding ourselves that we are beta-testing this at the moment. And this is a tricky thing to do sometimes when every time you search, you see everything pushed down. Google trying to answer what may not even be a question-oriented query with a relatively long piece of content. –Loren Baker, 04:21 The easiest way to get started is to take a page on your site, feed it into the model, give it the search query you want it to rank for, and ask it what changes you need to make to improve your chances of ranking on that or what content gaps you need to fill. –Eric Enge,44:22 Over time, E-A-T (Expertise, Authoritativeness, Trustworthiness) is going to become more important. Google will place a lot of weight on looking for subject matter experts, fact-checking, and a strong staff of experts owning the content. –Eric Enge, 48:22   For more content like this, subscribe to our YouTube channel: https://www.youtube.com/user/searchenginejournal Are you looking to keep up with current and effective digital marketing today? Check out https://www.searchenginejournal.com for everything you need to know within the digital marketing space and improve your skills as an internet marketer.   Connect With Eric Enge: Eric Enge is an award-winning professional and co-founder of Pilot Holding, specializing in executive consulting for SEO, content marketing, digital marketing, and finance. He founded Stone Temple Consulting, later acquired by Perficient, where he served as General Manager and Principal in the Digital Marketing team. Eric's expertise spans digital marketing strategy, SEO, content marketing, paid search, conversion rate optimization, social media, web analytics, and marketing automation. He excels in guiding businesses toward their next stage of growth. Connect with Eric on LinkedIn: https://www.linkedin.com/in/ericenge/  Follow him on Twitter: https://twitter.com/stonetemple   Connect with Loren Baker, Founder of Search Engine Journal: Follow him on Twitter: https://www.twitter.com/lorenbaker  Connect with him on LinkedIn: https://www.linkedin.com/in/lorenbaker

This episode is available on Spotify and Apple Podcasts.

In dieser Podcast-Episode diskutieren Olaf Kopp und Markus Hövener drei verschiedene Themen (diesmal live von der CAMPIXX). Wie war die CAMPIXX 2023? Sind die Auswirkungen der Google SGE gering, weil es nur einen Teil der Suchbegriffe betrifft? Und brauchen wir dank höherer Relevanz von E-E-A-T jetzt Authority Management als neue Disziplin für Sichtbarkeit? Reden wir drüber! Hier sind unsere Themen im Überblick: Ab 01:38: Rückblick CAMPIXX 2023 Ab 09:00: https://twitter.com/cyrusshepard/status/1663616157851729921?s=46&t=GhkMpnPAzrymKSlKpYKwRQ  Ab 19:11: Authority Management als neue Disziplin für Sichtbarkeit in Suchmaschinen? Dieser Podcast:http://www.omcafe-podcast.de/ --- Send in a voice message: https://podcasters.spotify.com/pod/show/omcafe/message

"Whispers from within, Nature's laughter fills the air, Gentle cheeks release.", ChatGPT for Chrome, 2023It's been another week of extraordinary A.I. developments with plenty of examples of A.I. screw-ups, gripes, and fears as we surge forward figuring out how to best use and abuse the powers of A.I... Kristine Schachinger and Jim Hedger look at Chatbots in Search and talk about a few weeks of watching Google's Search Generative Experience roll out. One critic called Google SGE a plagiarism engine and another critique noted the lack of passion that goes into generating haiku poems about farts so we asked ChatGPT to generate a haiku about farts and it did create an original haiku about farts so ChatGPT winds that around.We also talk about the loss of navigation in the final weeks of Universal Analytics, how Google might be forced to break itself up to do business in the European Union, how a blackhat super scrape netted $800K, and more...Support this podcast at — https://redcircle.com/webcology/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

EU-Parlament stimmt für AI Act, AMDs neue KI Chips, Bard lernt Coden, Spannungen zwischen Microsoft und OpenAI, Und Google SGE im Test https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/

Mit der Search Generative Experience will Google eine Antwort auf Chat GPT und Bing AI liefern. Im #SEODRIVEN Podcast spreche ich mit Björn Darko von Ladenzeile über die Vorstellung und aktuellen Take-Aways. Anhand der bisherigen Präsentationen gehen wir der Frage nach, ob Google künftig vermehrt auf Shopping setzen wird und welchen Einfluss die SGE auf E-Commerce SEO haben könnte. Wir diskutieren, ob E-E-A-T künftig wichtiger denn je sein wird und ob sich die Search Generative Experience überhaupt durchsetzen kann. Außerdem sprechen wir darüber, wie Generative AI die Voice Search und Assistents wiederbeleben könnte und warum Apple und Amazon schnellstens nachziehen sollten. Zum Schluss gehen Björn und ich noch der Frage nach, wie Googles SGE auch die Shopping Suche verändern könnte und welche europäischen AI-Lösungen es gibt. Björn erklärt dabei auch, wie Ladenzeile Machine Learning nutzt.

The emergence of artificial intelligence has changed the world and digital marketing in particular. ChatGPT, Bing Chat, and Google SGE (with Google Bard) will fundamentally change SEO for plumbers.Don't panic, as the premise of Google's algorithm will remain unchanged. Furthermore, your customers will still use Google to find local plumbing companies. The Google SGE will use AI to pull plumbing businesses from Google Maps (similar to the Google Map 3-Pack.)To retrofit your plumbing SEO strategy, you need E-E-A-T signals, the number one concept the AI-driven algorithms will evaluate. To achieve E-E-A-T, plumbers need a software tool called DataPins that converts their jobs into branded digital signaling called pins.While AI-driven search would seem to open the door for AI-generated content, it actually does the opposite. Google's AI-driven algorithm is designed to weed out thin and low-quality content and will include an expansion of September 2022's Helpful Content Update.Most AI content is cookie-cutter trash that algorithms can detect. While you can do significant editing to make it passable, the content still requires digital signaling (E-E-A-T)To learn more about plumbing SEO and A.I., check out the article below:https://www.plumbingwebmasters.com/ai-content/

I posted the monthly Google webmaster report for June and as you can imagine, it was a big month. Google launched the Search Generative Experience for some...

Tim and Jess examine Google's Search Generative Experience, Google's new AI-infused search results, and the future of SEO. Watch the podcast instead: https://www.youtube.com/watch?v=W3wYWC7zzVY Get a FREE review of your website @ https://exposureninja.com/rpod/review/ Get the show notes @ https://exposureninja.com/podcast/extra-013/ Download our eBook @ https://exposureninja.com/your-google-book/ You May Also Enjoy… Beginner's Guide to AI Marketing How To Market a ‘Boring' Business How To Convert the 90% of Website Traffic That Gets Away

Die Suchmaschinen Google und Bing sind mittendrin im Hype um künstliche Intelligenz. Mit der Integration von ChatGPT in die neue Bing Suche hat Microsoft einen großen Schritt nach vorne gemacht, aber Google ist ihnen auf den Fersen. Doch welche Rolle spielt SEO in den ganzen Veränderungen? Wird es SEO bald so nicht mehr geben? Erfahre es in dieser Folge!

The marketing world is being impacted by AI advancements and the upcoming Google Search Generative Experience (SGE), prompting discussions on how to prepare and adapt without relying on speculative predictions. The rise of generalists in the business world may be a result of the increasing complexity and interconnectedness of technology and marketing.In this episode of Kitchen Side, Alex Birkett, Allie Decker, and David Ly Khim discuss the possible effects of AI on marketing. The conversation highlighted the importance of not relying on speculative predictions, but rather focusing on tangible plans and strategies to stay ahead of the curve.The conversation recognized the importance of staying informed about AI advancements and their potential impact on the marketing world. They emphasized the need to adapt and update strategies as technology progresses, in order to remain competitive and effective in the industry.They also explore the impact of the Internet and technology on social behavior and society, discussing the balance between convenience and friction in the ever-evolving digital landscape.If you want to hear more about our conversation, make sure to tune in to the full episode.Topics:Speculation vs PreparednessDiversifying ContentGoogle's Gen AI ResultsReducing Human InteractionContent growth agencyOver-optimizing for a channelBalancing Specialization and HumilityExposure to Other People's OpinionsMarketing Leaders' Views on AIImportance of Seeking Different Viewpoints Show Links: Connect with David Khim on LinkedIn and TwitterConnect with Alex Birkett on LinkedIn and TwitterConnect with Allie Decker on LinkedIn and TwitterConnect with Omniscient Digital on LinkedIn or TwitterWhat is Kitchen Side?One big benefit of running an agency or working at one is you get to see the “kitchen side” of many different businesses; their revenue, their operations, their automations, and their culture.You understand how things look from the inside and how that differs from the outside.You understand how the sausage is made. As an agency ourselves, we're working both on growing our clients' businesses as well as our own. This podcast is one project, but we also blog, make videos, do sales, and have quite a robust portfolio of automations and hacks to run our business.We want to take you behind the curtain, to the kitchen side of our business, to witness our brainstorms, discussions, and internal dialogues behind the public works that we ship.Past guests on The Long Game podcast include: Morgan Brown (Shopify), Ryan Law (Animalz), Dan Shure (Evolving SEO), Kaleigh Moore (freelancer), Eric Siu (Clickflow), Peep Laja (CXL), Chelsea Castle (Chili Piper), Tracey Wallace (Klaviyo), Tim Soulo (Ahrefs), Ryan McReady (Reforge), and many more.Some interviews you might enjoy and learn from:Actionable Tips and Secrets to SEO Strategy with Dan Shure (Evolving SEO)Building Competitive Marketing Content with Sam Chapman (Aprimo)How to Build the Right Data Workflow with Blake Burch (Shipyard)Data-Driven Thought Leadership with Alicia Johnston (Sprout Social)Purpose-Driven Leadership & Building a Content Team with Ty Magnin (UiPath)Also, check out our Kitchen Side series where we take you behind the scenes to see how the sausage is made at our agency:Blue Ocean vs Red Ocean SEOShould You Hire Writers or Subject Matter Experts?How Do Growth and Content Overlap?Connect with Omniscient Digital on social:Twitter: @beomniscientLinkedin: Be OmniscientListen to more episodes of The Long Game podcast here: https://beomniscient.com/podcast/