Podcasts about search console

What began as a quick SEO tip while Meredith was swimming with whales in Tonga evolved into a comprehensive Fundamentals Series ShowIt, WordPress, and Squarespace users.Visit the Fundamentals Serieshttps://seiq.meredithshusband.com/c/welcome-fundamentalsIn this episode...[0:24] Origin of the Fundamentals series for Showit users[1:08] Why Showit needs specific SEO guidance[2:37] What is WYSIWYG and Showit's visual interface[4:03] How Showit splits sites between Showit and WordPress[5:00] The unique problem of dual sitemaps[5:20] Configuring Yoast properly for Showit blogs[5:54] Connecting Google tools (Analytics and Search Console)[6:48] How to monitor Google Search Console after setup[7:41] Why Google Business Profile is also a “fundamental”[8:20] Thank-you message and free access for contributors ---Meredith's Husbandhttps://www.meredithshusband.com

This week, we covered more Google Search ranking volatility around May 29th. Google's CEO, Sundar Pichai, said web publishing is not dead and had a great interview with The Verge. Most SEOs are scared of AI Mode in Google...

Kobi Omenaka joins Jack Chambers-Ward to explore ways to find keywords for free. They discuss the benefits of using customer conversations, news trends, and various free tools like Google Keyword Planner and Search Console.The episode also delves into the importance of understanding search intent and maximising the impact of small, engaged communities. Tune in for actionable tips and strategies to enhance your keyword research without breaking the bank.Follow KobiKobi's digital marketing: https://kobestarr.io/Kobi's podcasts: https://stripped.media/LinkedIn: https://www.linkedin.com/in/kobiomenaka/Bluesky: https://bsky.app/profile/kobestarr.bsky.socialInstagram: https://www.instagram.com/kobestarr/00:00 Introduction to Free Keyword Research01:19 Meet the Guest: Kobe Omenaka04:13 Kobe's Digital Marketing and Podcasting Journey07:21 Exploring Free Keyword Research Tools and Strategies20:47 The Importance of Understanding Customer Language33:03 Understanding Your Audience34:16 The Power of Branding36:25 The Importance of Touchpoints40:10 Keyword Research and Content Creation49:53 Community Engagement and SEO54:16 Kobi's recommendations01:03:28 Conclusion and Upcoming Episodes

This week, we covered, you guessed it, more Google search ranking volatility. Google also said they are rethinking its search stack from the ground up because of LLMs. Google is testing AI Overviews in more regions and languages prior to Google I/O/ Google is testing AI Mode buttons throughout Google...

In this episode of Search Off the Record, Gary Illyes and Martin Splitt from the Google Search team dive deep into the foundations of how the web works—specifically HTTP, TCP, UDP, and newer technologies like QUIC and HTTP/3. The two reflect on how even experienced web professionals often overlook or forget the mechanics behind these core protocols, sharing insights through technical discussion, playful banter, and analogies ranging from messenger pigeons to teapots. The conversation spans key concepts like packet transmission, connection handshakes, and the importance of status codes such as 404, 204, and even 418 (“I'm a teapot”). Throughout the conversation, they connect these protocols back to real-world implications for site owners, developers, and SEOs—like why Search Console might report network errors, and how browser or server behavior is influenced by low-level transport decisions. With a mix of humor and expertise, Gary and Martin aim to demystify a crucial part of the internet's infrastructure and remind listeners of the layered complexity that makes modern web experiences possible. Resources: Episode transcript →https://goo.gle/sotr091-transcript    Listen to more Search Off the Record → https://goo.gle/sotr-yt Subscribe to Google Search Channel → https://goo.gle/SearchCentral Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team. #SOTRpodcast #SEO #Http Speakers: Lizzi Sassman, John Mueller, Martin Splitt, Gary Illyes Products Mentioned: Search Console - General  

Kai Davis is the founder of Double Your Ecommerce and KeywordMagic.ai, two platforms helping Shopify merchants unlock sustainable growth through SEO, content, and email marketing. With over a decade of experience in digital strategy, Kai has worked directly with hundreds of Ecommerce businesses, offering fixed-price SEO services and tailored growth playbooks that prioritize results over complexity.Drawing from his deep expertise in search intent, content optimization, and store-level messaging, Kai equips Shopify brands with the tools they need to boost organic revenue, refine collection and product pages, and convert more traffic without overwhelming shoppers.Kai helps merchants rethink underperforming pages, optimize seasonal campaigns, and build resilient marketing systems, so they can grow more by working less.In This Conversation We Discuss: [00:43] Intro[01:14] Introducing what drives real SEO results[02:46] Building pages around real search demand[05:44] Starting SEO with product-type collections[07:22] Using conversational copy to boost SEO[08:37] Filtering keyword data by page type[10:43] Recognizing when a term is too competitive[11:49] Understanding why products convert lower[13:56] Training custom GPTs for brand-aligned content[16:29] Drafting faster without losing quality[17:19] Exporting product data to scale AI writing[17:53] Building tools to surface keyword insights[19:54] Understanding your funnel before traffic drops[22:08] Optimizing for AI-driven shopping behavior[24:11] Offering hands-on SEO help for time-strapped teams[25:28] Focusing on what actually moves SEO rankingsResources:Subscribe to Honest Ecommerce on YoutubeSEO Services for DTC Shopify Stores doubleyourecommerce.com/Follow Kai Davis linkedin.com/in/kaisdavisIf you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

FastLetter - Una fonte buona dalla quale aggiornarsia cura di Giorgio TavernitiN. 53 - 16 Aprile 2025Di cosa parliamo* La SEO sta Esplodendo* Il Filtro Web* AI Overviews e AI Mode* Le caratteristiche vincenti di chi è in AI Overviews* I test in corso* Tracciare AI Overviews e traffico LLMs* È vero che Google penalizza i contenuti Generati con l'AI?* LLMS.txt: sconsiglio di usarlo* I Piani Editoriali: Push e Ispirational* Qualche altra segnalazione* SalutiPremessa: se lavori a Milano e hai necessità di aggiornare o formare il team digital del quale fai parti, sappi che il 6, 7 e 8 Maggio L'Accademia di Search On arriva a Milano!Sarà una grande opportunità di formazione per tutti i team e le agenzie di Milano e dintorni.Portiamo i nostri 3 Seminari migliori:* AI per Agenzie e Team Digital con Alessio Pomaro* La SEO del Futuro con me (Giorgio Taverniti)* Google ADS per l'-Ecommerce con Gabriele BenedettiSpero di vedere alcuni di voi a Milano.Prima di entrare nel dettaglio un avviso: in questa edizione ci sono molti link a puntate precedenti. Questo accompagnato dal “ve lo avevo detto qui”.Non è per mettere in evidenza che sono anni che dico alcune cose che si avverano è perché ci sono degli approfondimenti passati che sono validi che forniscono contesto, approfondimento e fonti.LA SEO STA ESPLODENDO!“La SEO è morta”..“la SEO è morta” e poi non so se c'è stato un periodo con così tante richieste sulla SEO.“ChatGPT ucciderà tutto”..“ChatGPT ucciderà tutto” e poi appena arriva AI Overviews in Italia si crea un pandemonio che mai ho visto prima.Google Trends mostra un picco molto forte. Poi è vero che ci sono dati incoerenti e che nelle prossime ore si capirà di più come dice Martino Mosna qui (qualche bot?), ma è pur vero che se guardate le chiavi strettamente correlate in molte country il dato è in salita. Quello è un picco esagerato e scenderà o Google spiegherà. Guardate però la Germania nella discussione di connect dove i dati sono puliti. Non c'è dubbio che c'è un'interesse forte in questo momento.Lo ripeto da 20 anni: “La SEO non morirà mai, perché è uno stile di vivere il web”.Dove c'è una barra di ricerca, ci sarà sempre da ottimizzare. Dove c'è un ambiente in cui le persone soddisfano i loro bisogni, ci sarà sempre da creare contenuti per farlo.Punto. Il resto sono le opinioni di persone incompetenti che di Internet non ci capiscono un tubo.O gli effetti della Content Creation Tossica che è arrivata su LinkedIn.La tendenza, sempre più in ascesa, di trasformarsi in Content Creator per ottenere visibilità è un danno molto forte. Perché le persone, cosa che avviene anche nel mondo del giornalismo, sono a caccia della news da sparare forte.Ma poi c'è il corto circuito:* sempre più persone che non conoscono la materia la sparano forte* sempre più persone che non conoscono la materia interagiscono con chi la spara forteCosì ci sono una marea di informazioni false, imprecise, inutili, dannose su Digital Marketing, AI e SEO che davvero non se ne può più.Ma la SEO è sempre più viva. E per me significa Search Ecosystem Optimization. Non un significato teorico, ma pratico. Che ha a che fare con la Search Journey Umana, il framework che è nato dalle riflessioni post Google Liquido. E che vi mostro sotto.Non tutti i clienti sono pronti per un approccio di questo tipo, ma quando ne troviamo uno che lo è, lo spieghiamo e proponiamo.E infatti non credo molto alla figura dello SEO Specialist, credo alla sua evoluzione con competenze sempre più digital. Il tutto torna. C'è anche un'edizione della FastLetter che approfondisce questo concetto: Addio SEO Specialist!IL FILTRO WEBQuesto che vedete qui sotto è il filtro Web. Per chi non può vedere o sta ascoltando, insieme ai filtri Immagini, Video, Notizie, Video Brevi (ne parlerò sotto) c'è anche quello Web.A me non piace il nome Web. Lo avrei chiamato Pagine Web. Perché lì ci sono solo pagine. I Video e le Immagini fanno parte del Web. Invece finendo nel filtro Web ti mostra solo pagine web. La lista classica, potremmo chiamarla i 10 link blu. Sembra un'operazione nostalgia.Invece qualche giorno fa ho capito a che cavolo serve sta roba.Un po' avevo paura a dirlo a voce alta. Ma è arrivato il momento.Ad un certo punto l'unico risultato che avremo sarà AI Mode. Andando su Google, nella sua home, metteremo la nostra domanda e per molte di queste riceveremo solo quella che oggi si chiama AI Overviews o AI Mode.Sotto non ci saranno i risultati di ricerca come li intendiamo oggi. Non ci saranno le pagine dei Siti Internet. Quelle spariranno. Resteranno solo nel filtro Web, dove avremo i 10 link blu.Sotto l'AI Mode o AI Overviews, avremo la possibiltà di interagire ancora con l'AI, una sorta di correlate espanso o people also ask. Le SERP classiche saranno nel filtro web, al massimo come avviene ora i migliori resteranno aperti a destra (ma bisogna vedere la questione pubblicitaria).Ricordate quando dicevo sul motore del futuro:Clicco, cerco, scrivo il prompt, il sistema riconosce l'intento e mi risponde, a volte con un elenco di link, a volte con una risposta, a volte con la voce..come vorrà... dove vorrà.Quello accadrà. E qui viene in gioco la Liquidità di Google.Quello per cui sono preparati da anni.Si rafforza la mia idea che il traffico ai siti crollerà e che è importante il collegamento con Big Query.AI OVERVIEWS E AI MODEL'AI Mode l'ho spiegata qui. Ed è l'edizione della newsletter che poi mi ha portato al video “Google è il motore di ricerca del futuro”. Qui ho raccolto una serie di funzionalità che ci sono su AI Overviews, alcune solo in inglese, ma sappiamo che arriveranno: confronti, piani, tabelle, tutorial.Ma cos'è l'AI Mode?È una AI Overviews con steroidi. Trovata la chiave di volta, ovvero come usare Gemini in modo economico, ecco che lo scalano a tutti. E oggi che possiedono Gemini 2.5 che ha surclassato tutti (come dissi all'inizio di questa storia), questa roba è pazzesca.Le query sono cachate. Molte quando si attiva AI Overviews hanno il loghino di Gemini con la parola Ricerca che scompare in funzione delle parole Generazione in corso e poi esce AI Overviews. È un processo.Altre…hanno solo AI Overviews. Quelle…studiatele di più :)Sono soggette a meno cambiamenti nel tempo :)Perché non cambierà il risultato tra mesi di domande così: [come creare una tabella excel] e Google con l'AI creerà la migliore risposta possibile con le fonti ufficiali. Una deep research specifica.Una considerazione: ad oggi non c'è un piano di inserire i dati di AI Overviews dentro Search Console in modo separato. È un grande peccato. Però da Google fanno sapere che essendo un test, potrebbe creare confusione. I dati ci sono, ma sono accorpati agli altri, insomma è come un featured snippet. Per ora.E se non volete comparire potete usare il nosnippet. LE CARATTERISTICHE VINCENTI DI CHI È IN AI OVERVIEWSPosso ottimizzare per l'AI?Sì, ma sempre per gli utenti. Perché noi cercheremo cose mai cercate prima perché abbiamo una nuova possibilità di ricerca.Cambieranno intenti e informazioni.Quindi, siccome l'ottimizzazione è pertinenza, bisogna che in pagina ci siano le informazioni giuste. Come dicevo qui (per approfondire).Esempio dall'approfondimento.La persona cerca una soluzione. Ho bisogno di un paio di scarpe comode perché dovrò camminare per 20 giorni di fila circa 30.000 passi al giorno. È probabile che io incontri la pioggia.Se in pagina non avete questa informazione, che riguarda la soluzione, che cosa cavolo ottimizzate?Rivedere la SEO per l'avvento dell'Intelligenza Artificiale è INUTILE se:* Non si cambia il processo di creazione di contenuti (risorse).* Non si cambia il processo delle informazioni in nostro possesso (e non in nostro possesso) che poi devono essere pubblicate.* Non si cambia il processo di raccolta ed elaborazione dei dati.Quindi, una volta che abbiamo individuato come le persone cercano questi bisogni, sapremo anche le informazioni che dobbiamo avere in pagina. Come migliorare la visibilità dentro AI Overviews o altri?Ad oggi esiste un brevetto di Google che si chiama Generative summaries for search results. È importante ricordare che non sappiamo quali brev

In this episode, I chat with Sonia Urquilla, an SEO genius coach who helps female coaches and service providers get found online through effective website optimization.After being laid off from her corporate job in January 2024, Sonia built a thriving SEO coaching business that replaced her corporate salary within months. Her story is a powerful reminder that sometimes the skills we initially resist (she once hated SEO!) can become our greatest strengths.What makes this conversation especially valuable for service providers is Sonia's ability to demystify the often overwhelming world of SEO. She shares that many website designers never set up the crucial Google Analytics and Search Console accounts that let Google know your website exists - leaving many service providers with beautiful websites that no one can find.Sonia also reveals how she transformed her business by learning to speak clearly about her offers, creating a framework that makes her services easy to understand and irresistible to clients. Her journey from technical jargon to client-centered language mirrors the transformation she helps her clients achieve with their websites.What You'll Learn:The #1 technical issue preventing most service provider websites from appearing in Google searchesWhy your posts on social media disappear while your website content can generate leads for yearsHow to optimize your website to appear in AI search results (like ChatGPT)The importance of using your clients' exact language in your website copyWhy investing in coaching accelerated Sonia's business growthHow "taking the stage" in other people's events can attract high-quality clientsConnect with Sonia:Website InstagramThreadsLinkedInSEO Freebies for your online coaching businessSend us a textThank you for being a part of the Soulpreneur Scaling Stories community!FREE RESOURCES

R. Kenner French discusses his struggles with online visibility and marketing with expert Dhaval Patel. They explore the importance of domain authority, backlinks, and keyword rankings in improving search engine visibility. Dhaval provides actionable strategies for increasing domain authority, creating compelling content, and leveraging ads effectively. The discussion emphasizes the need for businesses to adapt to digital marketing trends and the significance of SEO in driving traffic and growth. In this conversation, R. Kenner French and Dhaval Patel discuss the evolution of link building, the importance of Google Ads in conjunction with organic search, and strategies for improving domain authority. They explore the significance of quality scores in Google Ads, the role of social media in SEO, and the costs associated with link building. The discussion emphasizes the need for engagement on social platforms and the importance of building real connections in the digital marketing landscape. Key takeaways include the necessity of a robust marketing reporting cadence and the value of networking in business growth.Takeaways• Domain authority is crucial for online visibility.• Backlinks from high-quality sites improve search rankings.• Keyword rankings indicate how well a site is optimized.• Setting up Google Analytics and Search Console is essential.• Creating valuable content can drive organic traffic.• Ads can complement SEO efforts for better results.• Networking can help acquire backlinks effectively.• Regularly updating content is important for SEO success. Link building has evolved significantly over the years.• Google Ads can impact organic search results.• Quality score is crucial for effective Google Ads campaigns.• Improving domain authority takes time and consistent effort.• Social media can enhance SEO if used correctly.• Engagement on social media is essential for driving traffic.• Costs for SEO and link building can vary widely.• Building connections with reputable sites is key to success.• Popularity plays a significant role in online marketing.• A robust marketing reporting system is vital for tracking progress.Sound Bites• You should have probably in the thousands.• Yup Google Analytics is vital.• Do keyword research to inform your strategy.• It was a wild West.• You can't just buy traffic.• It's a big high school game.• You need the popular person next to you.• Your value is in your network.• Have a robust marketing reporting cadence.Listen & Subscribe for More:

If you're in SF: Join us for the Claude Plays Pokemon hackathon this Sunday!If you're not: Fill out the 2025 State of AI Eng survey for $250 in Amazon cards!We are SO excited to share our conversation with Dharmesh Shah, co-founder of HubSpot and creator of Agent.ai.A particularly compelling concept we discussed is the idea of "hybrid teams" - the next evolution in workplace organization where human workers collaborate with AI agents as team members. Just as we previously saw hybrid teams emerge in terms of full-time vs. contract workers, or in-office vs. remote workers, Dharmesh predicts that the next frontier will be teams composed of both human and AI members. This raises interesting questions about team dynamics, trust, and how to effectively delegate tasks between human and AI team members.The discussion of business models in AI reveals an important distinction between Work as a Service (WaaS) and Results as a Service (RaaS), something Dharmesh has written extensively about. While RaaS has gained popularity, particularly in customer support applications where outcomes are easily measurable, Dharmesh argues that this model may be over-indexed. Not all AI applications have clearly definable outcomes or consistent economic value per transaction, making WaaS more appropriate in many cases. This insight is particularly relevant for businesses considering how to monetize AI capabilities.The technical challenges of implementing effective agent systems are also explored, particularly around memory and authentication. Shah emphasizes the importance of cross-agent memory sharing and the need for more granular control over data access. He envisions a future where users can selectively share parts of their data with different agents, similar to how OAuth works but with much finer control. This points to significant opportunities in developing infrastructure for secure and efficient agent-to-agent communication and data sharing.Other highlights from our conversation* The Evolution of AI-Powered Agents – Exploring how AI agents have evolved from simple chatbots to sophisticated multi-agent systems, and the role of MCPs in enabling that.* Hybrid Digital Teams and the Future of Work – How AI agents are becoming teammates rather than just tools, and what this means for business operations and knowledge work.* Memory in AI Agents – The importance of persistent memory in AI systems and how shared memory across agents could enhance collaboration and efficiency.* Business Models for AI Agents – Exploring the shift from software as a service (SaaS) to work as a service (WaaS) and results as a service (RaaS), and what this means for monetization.* The Role of Standards Like MCP – Why MCP has been widely adopted and how it enables agent collaboration, tool use, and discovery.* The Future of AI Code Generation and Software Engineering – How AI-assisted coding is changing the role of software engineers and what skills will matter most in the future.* Domain Investing and Efficient Markets – Dharmesh's approach to domain investing and how inefficiencies in digital asset markets create business opportunities.* The Philosophy of Saying No – Lessons from "Sorry, You Must Pass" and how prioritization leads to greater productivity and focus.Timestamps* 00:00 Introduction and Guest Welcome* 02:29 Dharmesh Shah's Journey into AI* 05:22 Defining AI Agents* 06:45 The Evolution and Future of AI Agents* 13:53 Graph Theory and Knowledge Representation* 20:02 Engineering Practices and Overengineering* 25:57 The Role of Junior Engineers in the AI Era* 28:20 Multi-Agent Systems and MCP Standards* 35:55 LinkedIn's Legal Battles and Data Scraping* 37:32 The Future of AI and Hybrid Teams* 39:19 Building Agent AI: A Professional Network for Agents* 40:43 Challenges and Innovations in Agent AI* 45:02 The Evolution of UI in AI Systems* 01:00:25 Business Models: Work as a Service vs. Results as a Service* 01:09:17 The Future Value of Engineers* 01:09:51 Exploring the Role of Agents* 01:10:28 The Importance of Memory in AI* 01:11:02 Challenges and Opportunities in AI Memory* 01:12:41 Selective Memory and Privacy Concerns* 01:13:27 The Evolution of AI Tools and Platforms* 01:18:23 Domain Names and AI Projects* 01:32:08 Balancing Work and Personal Life* 01:35:52 Final Thoughts and ReflectionsTranscriptAlessio [00:00:04]: Hey everyone, welcome back to the Latent Space podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co-host Swyx, founder of Small AI.swyx [00:00:12]: Hello, and today we're super excited to have Dharmesh Shah to join us. I guess your relevant title here is founder of Agent AI.Dharmesh [00:00:20]: Yeah, that's true for this. Yeah, creator of Agent.ai and co-founder of HubSpot.swyx [00:00:25]: Co-founder of HubSpot, which I followed for many years, I think 18 years now, gonna be 19 soon. And you caught, you know, people can catch up on your HubSpot story elsewhere. I should also thank Sean Puri, who I've chatted with back and forth, who's been, I guess, getting me in touch with your people. But also, I think like, just giving us a lot of context, because obviously, My First Million joined you guys, and they've been chatting with you guys a lot. So for the business side, we can talk about that, but I kind of wanted to engage your CTO, agent, engineer side of things. So how did you get agent religion?Dharmesh [00:01:00]: Let's see. So I've been working, I'll take like a half step back, a decade or so ago, even though actually more than that. So even before HubSpot, the company I was contemplating that I had named for was called Ingenisoft. And the idea behind Ingenisoft was a natural language interface to business software. Now realize this is 20 years ago, so that was a hard thing to do. But the actual use case that I had in mind was, you know, we had data sitting in business systems like a CRM or something like that. And my kind of what I thought clever at the time. Oh, what if we used email as the kind of interface to get to business software? And the motivation for using email is that it automatically works when you're offline. So imagine I'm getting on a plane or I'm on a plane. There was no internet on planes back then. It's like, oh, I'm going through business cards from an event I went to. I can just type things into an email just to have them all in the backlog. When it reconnects, it sends those emails to a processor that basically kind of parses effectively the commands and updates the software, sends you the file, whatever it is. And there was a handful of commands. I was a little bit ahead of the times in terms of what was actually possible. And I reattempted this natural language thing with a product called ChatSpot that I did back 20...swyx [00:02:12]: Yeah, this is your first post-ChatGPT project.Dharmesh [00:02:14]: I saw it come out. Yeah. And so I've always been kind of fascinated by this natural language interface to software. Because, you know, as software developers, myself included, we've always said, oh, we build intuitive, easy-to-use applications. And it's not intuitive at all, right? Because what we're doing is... We're taking the mental model that's in our head of what we're trying to accomplish with said piece of software and translating that into a series of touches and swipes and clicks and things like that. And there's nothing natural or intuitive about it. And so natural language interfaces, for the first time, you know, whatever the thought is you have in your head and expressed in whatever language that you normally use to talk to yourself in your head, you can just sort of emit that and have software do something. And I thought that was kind of a breakthrough, which it has been. And it's gone. So that's where I first started getting into the journey. I started because now it actually works, right? So once we got ChatGPT and you can take, even with a few-shot example, convert something into structured, even back in the ChatGP 3.5 days, it did a decent job in a few-shot example, convert something to structured text if you knew what kinds of intents you were going to have. And so that happened. And that ultimately became a HubSpot project. But then agents intrigued me because I'm like, okay, well, that's the next step here. So chat's great. Love Chat UX. But if we want to do something even more meaningful, it felt like the next kind of advancement is not this kind of, I'm chatting with some software in a kind of a synchronous back and forth model, is that software is going to do things for me in kind of a multi-step way to try and accomplish some goals. So, yeah, that's when I first got started. It's like, okay, what would that look like? Yeah. And I've been obsessed ever since, by the way.Alessio [00:03:55]: Which goes back to your first experience with it, which is like you're offline. Yeah. And you want to do a task. You don't need to do it right now. You just want to queue it up for somebody to do it for you. Yes. As you think about agents, like, let's start at the easy question, which is like, how do you define an agent? Maybe. You mean the hardest question in the universe? Is that what you mean?Dharmesh [00:04:12]: You said you have an irritating take. I do have an irritating take. I think, well, some number of people have been irritated, including within my own team. So I have a very broad definition for agents, which is it's AI-powered software that accomplishes a goal. Period. That's it. And what irritates people about it is like, well, that's so broad as to be completely non-useful. And I understand that. I understand the criticism. But in my mind, if you kind of fast forward months, I guess, in AI years, the implementation of it, and we're already starting to see this, and we'll talk about this, different kinds of agents, right? So I think in addition to having a usable definition, and I like yours, by the way, and we should talk more about that, that you just came out with, the classification of agents actually is also useful, which is, is it autonomous or non-autonomous? Does it have a deterministic workflow? Does it have a non-deterministic workflow? Is it working synchronously? Is it working asynchronously? Then you have the different kind of interaction modes. Is it a chat agent, kind of like a customer support agent would be? You're having this kind of back and forth. Is it a workflow agent that just does a discrete number of steps? So there's all these different flavors of agents. So if I were to draw it in a Venn diagram, I would draw a big circle that says, this is agents, and then I have a bunch of circles, some overlapping, because they're not mutually exclusive. And so I think that's what's interesting, and we're seeing development along a bunch of different paths, right? So if you look at the first implementation of agent frameworks, you look at Baby AGI and AutoGBT, I think it was, not Autogen, that's the Microsoft one. They were way ahead of their time because they assumed this level of reasoning and execution and planning capability that just did not exist, right? So it was an interesting thought experiment, which is what it was. Even the guy that, I'm an investor in Yohei's fund that did Baby AGI. It wasn't ready, but it was a sign of what was to come. And so the question then is, when is it ready? And so lots of people talk about the state of the art when it comes to agents. I'm a pragmatist, so I think of the state of the practical. It's like, okay, well, what can I actually build that has commercial value or solves actually some discrete problem with some baseline of repeatability or verifiability?swyx [00:06:22]: There was a lot, and very, very interesting. I'm not irritated by it at all. Okay. As you know, I take a... There's a lot of anthropological view or linguistics view. And in linguistics, you don't want to be prescriptive. You want to be descriptive. Yeah. So you're a goals guy. That's the key word in your thing. And other people have other definitions that might involve like delegated trust or non-deterministic work, LLM in the loop, all that stuff. The other thing I was thinking about, just the comment on Baby AGI, LGBT. Yeah. In that piece that you just read, I was able to go through our backlog and just kind of track the winter of agents and then the summer now. Yeah. And it's... We can tell the whole story as an oral history, just following that thread. And it's really just like, I think, I tried to explain the why now, right? Like I had, there's better models, of course. There's better tool use with like, they're just more reliable. Yep. Better tools with MCP and all that stuff. And I'm sure you have opinions on that too. Business model shift, which you like a lot. I just heard you talk about RAS with MFM guys. Yep. Cost is dropping a lot. Yep. Inference is getting faster. There's more model diversity. Yep. Yep. I think it's a subtle point. It means that like, you have different models with different perspectives. You don't get stuck in the basin of performance of a single model. Sure. You can just get out of it by just switching models. Yep. Multi-agent research and RL fine tuning. So I just wanted to let you respond to like any of that.Dharmesh [00:07:44]: Yeah. A couple of things. Connecting the dots on the kind of the definition side of it. So we'll get the irritation out of the way completely. I have one more, even more irritating leap on the agent definition thing. So here's the way I think about it. By the way, the kind of word agent, I looked it up, like the English dictionary definition. The old school agent, yeah. Is when you have someone or something that does something on your behalf, like a travel agent or a real estate agent acts on your behalf. It's like proxy, which is a nice kind of general definition. So the other direction I'm sort of headed, and it's going to tie back to tool calling and MCP and things like that, is if you, and I'm not a biologist by any stretch of the imagination, but we have these single-celled organisms, right? Like the simplest possible form of what one would call life. But it's still life. It just happens to be single-celled. And then you can combine cells and then cells become specialized over time. And you have much more sophisticated organisms, you know, kind of further down the spectrum. In my mind, at the most fundamental level, you can almost think of having atomic agents. What is the simplest possible thing that's an agent that can still be called an agent? What is the equivalent of a kind of single-celled organism? And the reason I think that's useful is right now we're headed down the road, which I think is very exciting around tool use, right? That says, okay, the LLMs now can be provided a set of tools that it calls to accomplish whatever it needs to accomplish in the kind of furtherance of whatever goal it's trying to get done. And I'm not overly bothered by it, but if you think about it, if you just squint a little bit and say, well, what if everything was an agent? And what if tools were actually just atomic agents? Because then it's turtles all the way down, right? Then it's like, oh, well, all that's really happening with tool use is that we have a network of agents that know about each other through something like an MMCP and can kind of decompose a particular problem and say, oh, I'm going to delegate this to this set of agents. And why do we need to draw this distinction between tools, which are functions most of the time? And an actual agent. And so I'm going to write this irritating LinkedIn post, you know, proposing this. It's like, okay. And I'm not suggesting we should call even functions, you know, call them agents. But there is a certain amount of elegance that happens when you say, oh, we can just reduce it down to one primitive, which is an agent that you can combine in complicated ways to kind of raise the level of abstraction and accomplish higher order goals. Anyway, that's my answer. I'd say that's a success. Thank you for coming to my TED Talk on agent definitions.Alessio [00:09:54]: How do you define the minimum viable agent? Do you already have a definition for, like, where you draw the line between a cell and an atom? Yeah.Dharmesh [00:10:02]: So in my mind, it has to, at some level, use AI in order for it to—otherwise, it's just software. It's like, you know, we don't need another word for that. And so that's probably where I draw the line. So then the question, you know, the counterargument would be, well, if that's true, then lots of tools themselves are actually not agents because they're just doing a database call or a REST API call or whatever it is they're doing. And that does not necessarily qualify them, which is a fair counterargument. And I accept that. It's like a good argument. I still like to think about—because we'll talk about multi-agent systems, because I think—so we've accepted, which I think is true, lots of people have said it, and you've hopefully combined some of those clips of really smart people saying this is the year of agents, and I completely agree, it is the year of agents. But then shortly after that, it's going to be the year of multi-agent systems or multi-agent networks. I think that's where it's going to be headed next year. Yeah.swyx [00:10:54]: Opening eyes already on that. Yeah. My quick philosophical engagement with you on this. I often think about kind of the other spectrum, the other end of the cell spectrum. So single cell is life, multi-cell is life, and you clump a bunch of cells together in a more complex organism, they become organs, like an eye and a liver or whatever. And then obviously we consider ourselves one life form. There's not like a lot of lives within me. I'm just one life. And now, obviously, I don't think people don't really like to anthropomorphize agents and AI. Yeah. But we are extending our consciousness and our brain and our functionality out into machines. I just saw you were a Bee. Yeah. Which is, you know, it's nice. I have a limitless pendant in my pocket.Dharmesh [00:11:37]: I got one of these boys. Yeah.swyx [00:11:39]: I'm testing it all out. You know, got to be early adopters. But like, we want to extend our personal memory into these things so that we can be good at the things that we're good at. And, you know, machines are good at it. Machines are there. So like, my definition of life is kind of like going outside of my own body now. I don't know if you've ever had like reflections on that. Like how yours. How our self is like actually being distributed outside of you. Yeah.Dharmesh [00:12:01]: I don't fancy myself a philosopher. But you went there. So yeah, I did go there. I'm fascinated by kind of graphs and graph theory and networks and have been for a long, long time. And to me, we're sort of all nodes in this kind of larger thing. It just so happens that we're looking at individual kind of life forms as they exist right now. But so the idea is when you put a podcast out there, there's these little kind of nodes you're putting out there of like, you know, conceptual ideas. Once again, you have varying kind of forms of those little nodes that are up there and are connected in varying and sundry ways. And so I just think of myself as being a node in a massive, massive network. And I'm producing more nodes as I put content or ideas. And, you know, you spend some portion of your life collecting dots, experiences, people, and some portion of your life then connecting dots from the ones that you've collected over time. And I found that really interesting things happen and you really can't know in advance how those dots are necessarily going to connect in the future. And that's, yeah. So that's my philosophical take. That's the, yes, exactly. Coming back.Alessio [00:13:04]: Yep. Do you like graph as an agent? Abstraction? That's been one of the hot topics with LandGraph and Pydantic and all that.Dharmesh [00:13:11]: I do. The thing I'm more interested in terms of use of graphs, and there's lots of work happening on that now, is graph data stores as an alternative in terms of knowledge stores and knowledge graphs. Yeah. Because, you know, so I've been in software now 30 plus years, right? So it's not 10,000 hours. It's like 100,000 hours that I've spent doing this stuff. And so I've grew up with, so back in the day, you know, I started on mainframes. There was a product called IMS from IBM, which is basically an index database, what we'd call like a key value store today. Then we've had relational databases, right? We have tables and columns and foreign key relationships. We all know that. We have document databases like MongoDB, which is sort of a nested structure keyed by a specific index. We have vector stores, vector embedding database. And graphs are interesting for a couple of reasons. One is, so it's not classically structured in a relational way. When you say structured database, to most people, they're thinking tables and columns and in relational database and set theory and all that. Graphs still have structure, but it's not the tables and columns structure. And you could wonder, and people have made this case, that they are a better representation of knowledge for LLMs and for AI generally than other things. So that's kind of thing number one conceptually, and that might be true, I think is possibly true. And the other thing that I really like about that in the context of, you know, I've been in the context of data stores for RAG is, you know, RAG, you say, oh, I have a million documents, I'm going to build the vector embeddings, I'm going to come back with the top X based on the semantic match, and that's fine. All that's very, very useful. But the reality is something gets lost in the chunking process and the, okay, well, those tend, you know, like, you don't really get the whole picture, so to speak, and maybe not even the right set of dimensions on the kind of broader picture. And it makes intuitive sense to me that if we did capture it properly in a graph form, that maybe that feeding into a RAG pipeline will actually yield better results for some use cases, I don't know, but yeah.Alessio [00:15:03]: And do you feel like at the core of it, there's this difference between imperative and declarative programs? Because if you think about HubSpot, it's like, you know, people and graph kind of goes hand in hand, you know, but I think maybe the software before was more like primary foreign key based relationship, versus now the models can traverse through the graph more easily.Dharmesh [00:15:22]: Yes. So I like that representation. There's something. It's just conceptually elegant about graphs and just from the representation of it, they're much more discoverable, you can kind of see it, there's observability to it, versus kind of embeddings, which you can't really do much with as a human. You know, once they're in there, you can't pull stuff back out. But yeah, I like that kind of idea of it. And the other thing that's kind of, because I love graphs, I've been long obsessed with PageRank from back in the early days. And, you know, one of the kind of simplest algorithms in terms of coming up, you know, with a phone, everyone's been exposed to PageRank. And the idea is that, and so I had this other idea for a project, not a company, and I have hundreds of these, called NodeRank, is to be able to take the idea of PageRank and apply it to an arbitrary graph that says, okay, I'm going to define what authority looks like and say, okay, well, that's interesting to me, because then if you say, I'm going to take my knowledge store, and maybe this person that contributed some number of chunks to the graph data store has more authority on this particular use case or prompt that's being submitted than this other one that may, or maybe this one was more. popular, or maybe this one has, whatever it is, there should be a way for us to kind of rank nodes in a graph and sort them in some, some useful way. Yeah.swyx [00:16:34]: So I think that's generally useful for, for anything. I think the, the problem, like, so even though at my conferences, GraphRag is super popular and people are getting knowledge, graph religion, and I will say like, it's getting space, getting traction in two areas, conversation memory, and then also just rag in general, like the, the, the document data. Yeah. It's like a source. Most ML practitioners would say that knowledge graph is kind of like a dirty word. The graph database, people get graph religion, everything's a graph, and then they, they go really hard into it and then they get a, they get a graph that is too complex to navigate. Yes. And so like the, the, the simple way to put it is like you at running HubSpot, you know, the power of graphs, the way that Google has pitched them for many years, but I don't suspect that HubSpot itself uses a knowledge graph. No. Yeah.Dharmesh [00:17:26]: So when is it over engineering? Basically? It's a great question. I don't know. So the question now, like in AI land, right, is the, do we necessarily need to understand? So right now, LLMs for, for the most part are somewhat black boxes, right? We sort of understand how the, you know, the algorithm itself works, but we really don't know what's going on in there and, and how things come out. So if a graph data store is able to produce the outcomes we want, it's like, here's a set of queries I want to be able to submit and then it comes out with useful content. Maybe the underlying data store is as opaque as a vector embeddings or something like that, but maybe it's fine. Maybe we don't necessarily need to understand it to get utility out of it. And so maybe if it's messy, that's okay. Um, that's, it's just another form of lossy compression. Uh, it's just lossy in a way that we just don't completely understand in terms of, because it's going to grow organically. Uh, and it's not structured. It's like, ah, we're just gonna throw a bunch of stuff in there. Let the, the equivalent of the embedding algorithm, whatever they called in graph land. Um, so the one with the best results wins. I think so. Yeah.swyx [00:18:26]: Or is this the practical side of me is like, yeah, it's, if it's useful, we don't necessarilyDharmesh [00:18:30]: need to understand it.swyx [00:18:30]: I have, I mean, I'm happy to push back as long as you want. Uh, it's not practical to evaluate like the 10 different options out there because it takes time. It takes people, it takes, you know, resources, right? Set. That's the first thing. Second thing is your evals are typically on small things and some things only work at scale. Yup. Like graphs. Yup.Dharmesh [00:18:46]: Yup. That's, yeah, no, that's fair. And I think this is one of the challenges in terms of implementation of graph databases is that the most common approach that I've seen developers do, I've done it myself, is that, oh, I've got a Postgres database or a MySQL or whatever. I can represent a graph with a very set of tables with a parent child thing or whatever. And that sort of gives me the ability, uh, why would I need anything more than that? And the answer is, well, if you don't need anything more than that, you don't need anything more than that. But there's a high chance that you're sort of missing out on the actual value that, uh, the graph representation gives you. Which is the ability to traverse the graph, uh, efficiently in ways that kind of going through the, uh, traversal in a relational database form, even though structurally you have the data, practically you're not gonna be able to pull it out in, in useful ways. Uh, so you wouldn't like represent a social graph, uh, in, in using that kind of relational table model. It just wouldn't scale. It wouldn't work.swyx [00:19:36]: Uh, yeah. Uh, I think we want to move on to MCP. Yeah. But I just want to, like, just engineering advice. Yeah. Uh, obviously you've, you've, you've run, uh, you've, you've had to do a lot of projects and run a lot of teams. Do you have a general rule for over-engineering or, you know, engineering ahead of time? You know, like, because people, we know premature engineering is the root of all evil. Yep. But also sometimes you just have to. Yep. When do you do it? Yes.Dharmesh [00:19:59]: It's a great question. This is, uh, a question as old as time almost, which is what's the right and wrong levels of abstraction. That's effectively what, uh, we're answering when we're trying to do engineering. I tend to be a pragmatist, right? So here's the thing. Um, lots of times doing something the right way. Yeah. It's like a marginal increased cost in those cases. Just do it the right way. And this is what makes a, uh, a great engineer or a good engineer better than, uh, a not so great one. It's like, okay, all things being equal. If it's going to take you, you know, roughly close to constant time anyway, might as well do it the right way. Like, so do things well, then the question is, okay, well, am I building a framework as the reusable library? To what degree, uh, what am I anticipating in terms of what's going to need to change in this thing? Uh, you know, along what dimension? And then I think like a business person in some ways, like what's the return on calories, right? So, uh, and you look at, um, energy, the expected value of it's like, okay, here are the five possible things that could happen, uh, try to assign probabilities like, okay, well, if there's a 50% chance that we're going to go down this particular path at some day, like, or one of these five things is going to happen and it costs you 10% more to engineer for that. It's basically, it's something that yields a kind of interest compounding value. Um, as you get closer to the time of, of needing that versus having to take on debt, which is when you under engineer it, you're taking on debt. You're going to have to pay off when you do get to that eventuality where something happens. One thing as a pragmatist, uh, so I would rather under engineer something than over engineer it. If I were going to err on the side of something, and here's the reason is that when you under engineer it, uh, yes, you take on tech debt, uh, but the interest rate is relatively known and payoff is very, very possible, right? Which is, oh, I took a shortcut here as a result of which now this thing that should have taken me a week is now going to take me four weeks. Fine. But if that particular thing that you thought might happen, never actually, you never have that use case transpire or just doesn't, it's like, well, you just save yourself time, right? And that has value because you were able to do other things instead of, uh, kind of slightly over-engineering it away, over-engineering it. But there's no perfect answers in art form in terms of, uh, and yeah, we'll, we'll bring kind of this layers of abstraction back on the code generation conversation, which we'll, uh, I think I have later on, butAlessio [00:22:05]: I was going to ask, we can just jump ahead quickly. Yeah. Like, as you think about vibe coding and all that, how does the. Yeah. Percentage of potential usefulness change when I feel like we over-engineering a lot of times it's like the investment in syntax, it's less about the investment in like arc exacting. Yep. Yeah. How does that change your calculus?Dharmesh [00:22:22]: A couple of things, right? One is, um, so, you know, going back to that kind of ROI or a return on calories, kind of calculus or heuristic you think through, it's like, okay, well, what is it going to cost me to put this layer of abstraction above the code that I'm writing now, uh, in anticipating kind of future needs. If the cost of fixing, uh, or doing under engineering right now. Uh, we'll trend towards zero that says, okay, well, I don't have to get it right right now because even if I get it wrong, I'll run the thing for six hours instead of 60 minutes or whatever. It doesn't really matter, right? Like, because that's going to trend towards zero to be able, the ability to refactor a code. Um, and because we're going to not that long from now, we're going to have, you know, large code bases be able to exist, uh, you know, as, as context, uh, for a code generation or a code refactoring, uh, model. So I think it's going to make it, uh, make the case for under engineering, uh, even stronger. Which is why I take on that cost. You just pay the interest when you get there, it's not, um, just go on with your life vibe coded and, uh, come back when you need to. Yeah.Alessio [00:23:18]: Sometimes I feel like there's no decision-making in some things like, uh, today I built a autosave for like our internal notes platform and I literally just ask them cursor. Can you add autosave? Yeah. I don't know if it's over under engineer. Yep. I just vibe coded it. Yep. And I feel like at some point we're going to get to the point where the models kindDharmesh [00:23:36]: of decide where the right line is, but this is where the, like the, in my mind, the danger is, right? So there's two sides to this. One is the cost of kind of development and coding and things like that stuff that, you know, we talk about. But then like in your example, you know, one of the risks that we have is that because adding a feature, uh, like a save or whatever the feature might be to a product as that price tends towards zero, are we going to be less discriminant about what features we add as a result of making more product products more complicated, which has a negative impact on the user and navigate negative impact on the business. Um, and so that's the thing I worry about if it starts to become too easy, are we going to be. Too promiscuous in our, uh, kind of extension, adding product extensions and things like that. It's like, ah, why not add X, Y, Z or whatever back then it was like, oh, we only have so many engineering hours or story points or however you measure things. Uh, that least kept us in check a little bit. Yeah.Alessio [00:24:22]: And then over engineering, you're like, yeah, it's kind of like you're putting that on yourself. Yeah. Like now it's like the models don't understand that if they add too much complexity, it's going to come back to bite them later. Yep. So they just do whatever they want to do. Yeah. And I'm curious where in the workflow that's going to be, where it's like, Hey, this is like the amount of complexity and over-engineering you can do before you got to ask me if we should actually do it versus like do something else.Dharmesh [00:24:45]: So you know, we've already, let's like, we're leaving this, uh, in the code generation world, this kind of compressed, um, cycle time. Right. It's like, okay, we went from auto-complete, uh, in the GitHub co-pilot to like, oh, finish this particular thing and hit tab to a, oh, I sort of know your file or whatever. I can write out a full function to you to now I can like hold a bunch of the context in my head. Uh, so we can do app generation, which we have now with lovable and bolt and repletage. Yeah. Association and other things. So then the question is, okay, well, where does it naturally go from here? So we're going to generate products. Make sense. We might be able to generate platforms as though I want a platform for ERP that does this, whatever. And that includes the API's includes the product and the UI, and all the things that make for a platform. There's no nothing that says we would stop like, okay, can you generate an entire software company someday? Right. Uh, with the platform and the monetization and the go-to-market and the whatever. And you know, that that's interesting to me in terms of, uh, you know, what, when you take it to almost ludicrous levels. of abstract.swyx [00:25:39]: It's like, okay, turn it to 11. You mentioned vibe coding, so I have to, this is a blog post I haven't written, but I'm kind of exploring it. Is the junior engineer dead?Dharmesh [00:25:49]: I don't think so. I think what will happen is that the junior engineer will be able to, if all they're bringing to the table is the fact that they are a junior engineer, then yes, they're likely dead. But hopefully if they can communicate with carbon-based life forms, they can interact with product, if they're willing to talk to customers, they can take their kind of basic understanding of engineering and how kind of software works. I think that has value. So I have a 14-year-old right now who's taking Python programming class, and some people ask me, it's like, why is he learning coding? And my answer is, is because it's not about the syntax, it's not about the coding. What he's learning is like the fundamental thing of like how things work. And there's value in that. I think there's going to be timeless value in systems thinking and abstractions and what that means. And whether functions manifested as math, which he's going to get exposed to regardless, or there are some core primitives to the universe, I think, that the more you understand them, those are what I would kind of think of as like really large dots in your life that will have a higher gravitational pull and value to them that you'll then be able to. So I want him to collect those dots, and he's not resisting. So it's like, okay, while he's still listening to me, I'm going to have him do things that I think will be useful.swyx [00:26:59]: You know, part of one of the pitches that I evaluated for AI engineer is a term. And the term is that maybe the traditional interview path or career path of software engineer goes away, which is because what's the point of lead code? Yeah. And, you know, it actually matters more that you know how to work with AI and to implement the things that you want. Yep.Dharmesh [00:27:16]: That's one of the like interesting things that's happened with generative AI. You know, you go from machine learning and the models and just that underlying form, which is like true engineering, right? Like the actual, what I call real engineering. I don't think of myself as a real engineer, actually. I'm a developer. But now with generative AI. We call it AI and it's obviously got its roots in machine learning, but it just feels like fundamentally different to me. Like you have the vibe. It's like, okay, well, this is just a whole different approach to software development to so many different things. And so I'm wondering now, it's like an AI engineer is like, if you were like to draw the Venn diagram, it's interesting because the cross between like AI things, generative AI and what the tools are capable of, what the models do, and this whole new kind of body of knowledge that we're still building out, it's still very young, intersected with kind of classic engineering, software engineering. Yeah.swyx [00:28:04]: I just described the overlap as it separates out eventually until it's its own thing, but it's starting out as a software. Yeah.Alessio [00:28:11]: That makes sense. So to close the vibe coding loop, the other big hype now is MCPs. Obviously, I would say Cloud Desktop and Cursor are like the two main drivers of MCP usage. I would say my favorite is the Sentry MCP. I can pull in errors and then you can just put the context in Cursor. How do you think about that abstraction layer? Does it feel... Does it feel almost too magical in a way? Do you think it's like you get enough? Because you don't really see how the server itself is then kind of like repackaging theDharmesh [00:28:41]: information for you? I think MCP as a standard is one of the better things that's happened in the world of AI because a standard needed to exist and absent a standard, there was a set of things that just weren't possible. Now, we can argue whether it's the best possible manifestation of a standard or not. Does it do too much? Does it do too little? I get that, but it's just simple enough to both be useful and unobtrusive. It's understandable and adoptable by mere mortals, right? It's not overly complicated. You know, a reasonable engineer can put a stand up an MCP server relatively easily. The thing that has me excited about it is like, so I'm a big believer in multi-agent systems. And so that's going back to our kind of this idea of an atomic agent. So imagine the MCP server, like obviously it calls tools, but the way I think about it, so I'm working on my current passion project is agent.ai. And we'll talk more about that in a little bit. More about the, I think we should, because I think it's interesting not to promote the project at all, but there's some interesting ideas in there. One of which is around, we're going to need a mechanism for, if agents are going to collaborate and be able to delegate, there's going to need to be some form of discovery and we're going to need some standard way. It's like, okay, well, I just need to know what this thing over here is capable of. We're going to need a registry, which Anthropic's working on. I'm sure others will and have been doing directories of, and there's going to be a standard around that too. How do you build out a directory of MCP servers? I think that's going to unlock so many things just because, and we're already starting to see it. So I think MCP or something like it is going to be the next major unlock because it allows systems that don't know about each other, don't need to, it's that kind of decoupling of like Sentry and whatever tools someone else was building. And it's not just about, you know, Cloud Desktop or things like, even on the client side, I think we're going to see very interesting consumers of MCP, MCP clients versus just the chat body kind of things. Like, you know, Cloud Desktop and Cursor and things like that. But yeah, I'm very excited about MCP in that general direction.swyx [00:30:39]: I think the typical cynical developer take, it's like, we have OpenAPI. Yeah. What's the new thing? I don't know if you have a, do you have a quick MCP versus everything else? Yeah.Dharmesh [00:30:49]: So it's, so I like OpenAPI, right? So just a descriptive thing. It's OpenAPI. OpenAPI. Yes, that's what I meant. So it's basically a self-documenting thing. We can do machine-generated, lots of things from that output. It's a structured definition of an API. I get that, love it. But MCPs sort of are kind of use case specific. They're perfect for exactly what we're trying to use them for around LLMs in terms of discovery. It's like, okay, I don't necessarily need to know kind of all this detail. And so right now we have, we'll talk more about like MCP server implementations, but We will? I think, I don't know. Maybe we won't. At least it's in my head. It's like a back processor. But I do think MCP adds value above OpenAPI. It's, yeah, just because it solves this particular thing. And if we had come to the world, which we have, like, it's like, hey, we already have OpenAPI. It's like, if that were good enough for the universe, the universe would have adopted it already. There's a reason why MCP is taking office because marginally adds something that was missing before and doesn't go too far. And so that's why the kind of rate of adoption, you folks have written about this and talked about it. Yeah, why MCP won. Yeah. And it won because the universe decided that this was useful and maybe it gets supplanted by something else. Yeah. And maybe we discover, oh, maybe OpenAPI was good enough the whole time. I doubt that.swyx [00:32:09]: The meta lesson, this is, I mean, he's an investor in DevTools companies. I work in developer experience at DevRel in DevTools companies. Yep. Everyone wants to own the standard. Yeah. I'm sure you guys have tried to launch your own standards. Actually, it's Houseplant known for a standard, you know, obviously inbound marketing. But is there a standard or protocol that you ever tried to push? No.Dharmesh [00:32:30]: And there's a reason for this. Yeah. Is that? And I don't mean, need to mean, speak for the people of HubSpot, but I personally. You kind of do. I'm not smart enough. That's not the, like, I think I have a. You're smart. Not enough for that. I'm much better off understanding the standards that are out there. And I'm more on the composability side. Let's, like, take the pieces of technology that exist out there, combine them in creative, unique ways. And I like to consume standards. I don't like to, and that's not that I don't like to create them. I just don't think I have the, both the raw wattage or the credibility. It's like, okay, well, who the heck is Dharmesh, and why should we adopt a standard he created?swyx [00:33:07]: Yeah, I mean, there are people who don't monetize standards, like OpenTelemetry is a big standard, and LightStep never capitalized on that.Dharmesh [00:33:15]: So, okay, so if I were to do a standard, there's two things that have been in my head in the past. I was one around, a very, very basic one around, I don't even have the domain, I have a domain for everything, for open marketing. Because the issue we had in HubSpot grew up in the marketing space. There we go. There was no standard around data formats and things like that. It doesn't go anywhere. But the other one, and I did not mean to go here, but I'm going to go here. It's called OpenGraph. I know the term was already taken, but it hasn't been used for like 15 years now for its original purpose. But what I think should exist in the world is right now, our information, all of us, nodes are in the social graph at Meta or the professional graph at LinkedIn. Both of which are actually relatively closed in actually very annoying ways. Like very, very closed, right? Especially LinkedIn. Especially LinkedIn. I personally believe that if it's my data, and if I would get utility out of it being open, I should be able to make my data open or publish it in whatever forms that I choose, as long as I have control over it as opt-in. So the idea is around OpenGraph that says, here's a standard, here's a way to publish it. I should be able to go to OpenGraph.org slash Dharmesh dot JSON and get it back. And it's like, here's your stuff, right? And I can choose along the way and people can write to it and I can prove. And there can be an entire system. And if I were to do that, I would do it as a... Like a public benefit, non-profit-y kind of thing, as this is a contribution to society. I wouldn't try to commercialize that. Have you looked at AdProto? What's that? AdProto.swyx [00:34:43]: It's the protocol behind Blue Sky. Okay. My good friend, Dan Abramov, who was the face of React for many, many years, now works there. And he actually did a talk that I can send you, which basically kind of tries to articulate what you just said. But he does, he loves doing these like really great analogies, which I think you'll like. Like, you know, a lot of our data is behind a handle, behind a domain. Yep. So he's like, all right, what if we flip that? What if it was like our handle and then the domain? Yep. So, and that's really like your data should belong to you. Yep. And I should not have to wait 30 days for my Twitter data to export. Yep.Dharmesh [00:35:19]: you should be able to at least be able to automate it or do like, yes, I should be able to plug it into an agentic thing. Yeah. Yes. I think we're... Because so much of our data is... Locked up. I think the trick here isn't that standard. It is getting the normies to care.swyx [00:35:37]: Yeah. Because normies don't care.Dharmesh [00:35:38]: That's true. But building on that, normies don't care. So, you know, privacy is a really hot topic and an easy word to use, but it's not a binary thing. Like there are use cases where, and we make these choices all the time, that I will trade, not all privacy, but I will trade some privacy for some productivity gain or some benefit to me that says, oh, I don't care about that particular data being online if it gives me this in return, or I don't mind sharing this information with this company.Alessio [00:36:02]: If I'm getting, you know, this in return, but that sort of should be my option. I think now with computer use, you can actually automate some of the exports. Yes. Like something we've been doing internally is like everybody exports their LinkedIn connections. Yep. And then internally, we kind of merge them together to see how we can connect our companies to customers or things like that.Dharmesh [00:36:21]: And not to pick on LinkedIn, but since we're talking about it, but they feel strongly enough on the, you know, do not take LinkedIn data that they will block even browser use kind of things or whatever. They go to great, great lengths, even to see patterns of usage. And it says, oh, there's no way you could have, you know, gotten that particular thing or whatever without, and it's, so it's, there's...swyx [00:36:42]: Wasn't there a Supreme Court case that they lost? Yeah.Dharmesh [00:36:45]: So the one they lost was around someone that was scraping public data that was on the public internet. And that particular company had not signed any terms of service or whatever. It's like, oh, I'm just taking data that's on, there was no, and so that's why they won. But now, you know, the question is around, can LinkedIn... I think they can. Like, when you use, as a user, you use LinkedIn, you are signing up for their terms of service. And if they say, well, this kind of use of your LinkedIn account that violates our terms of service, they can shut your account down, right? They can. And they, yeah, so, you know, we don't need to make this a discussion. By the way, I love the company, don't get me wrong. I'm an avid user of the product. You know, I've got... Yeah, I mean, you've got over a million followers on LinkedIn, I think. Yeah, I do. And I've known people there for a long, long time, right? And I have lots of respect. And I understand even where the mindset originally came from of this kind of members-first approach to, you know, a privacy-first. I sort of get that. But sometimes you sort of have to wonder, it's like, okay, well, that was 15, 20 years ago. There's likely some controlled ways to expose some data on some member's behalf and not just completely be a binary. It's like, no, thou shalt not have the data.swyx [00:37:54]: Well, just pay for sales navigator.Alessio [00:37:57]: Before we move to the next layer of instruction, anything else on MCP you mentioned? Let's move back and then I'll tie it back to MCPs.Dharmesh [00:38:05]: So I think the... Open this with agent. Okay, so I'll start with... Here's my kind of running thesis, is that as AI and agents evolve, which they're doing very, very quickly, we're going to look at them more and more. I don't like to anthropomorphize. We'll talk about why this is not that. Less as just like raw tools and more like teammates. They'll still be software. They should self-disclose as being software. I'm totally cool with that. But I think what's going to happen is that in the same way you might collaborate with a team member on Slack or Teams or whatever you use, you can imagine a series of agents that do specific things just like a team member might do, that you can delegate things to. You can collaborate. You can say, hey, can you take a look at this? Can you proofread that? Can you try this? You can... Whatever it happens to be. So I think it is... I will go so far as to say it's inevitable that we're going to have hybrid teams someday. And what I mean by hybrid teams... So back in the day, hybrid teams were, oh, well, you have some full-time employees and some contractors. Then it was like hybrid teams are some people that are in the office and some that are remote. That's the kind of form of hybrid. The next form of hybrid is like the carbon-based life forms and agents and AI and some form of software. So let's say we temporarily stipulate that I'm right about that over some time horizon that eventually we're going to have these kind of digitally hybrid teams. So if that's true, then the question you sort of ask yourself is that then what needs to exist in order for us to get the full value of that new model? It's like, okay, well... You sort of need to... It's like, okay, well, how do I... If I'm building a digital team, like, how do I... Just in the same way, if I'm interviewing for an engineer or a designer or a PM, whatever, it's like, well, that's why we have professional networks, right? It's like, oh, they have a presence on likely LinkedIn. I can go through that semi-structured, structured form, and I can see the experience of whatever, you know, self-disclosed. But, okay, well, agents are going to need that someday. And so I'm like, okay, well, this seems like a thread that's worth pulling on. That says, okay. So I... So agent.ai is out there. And it's LinkedIn for agents. It's LinkedIn for agents. It's a professional network for agents. And the more I pull on that thread, it's like, okay, well, if that's true, like, what happens, right? It's like, oh, well, they have a profile just like anyone else, just like a human would. It's going to be a graph underneath, just like a professional network would be. It's just that... And you can have its, you know, connections and follows, and agents should be able to post. That's maybe how they do release notes. Like, oh, I have this new version. Whatever they decide to post, it should just be able to... Behave as a node on the network of a professional network. As it turns out, the more I think about that and pull on that thread, the more and more things, like, start to make sense to me. So it may be more than just a pure professional network. So my original thought was, okay, well, it's a professional network and agents as they exist out there, which I think there's going to be more and more of, will kind of exist on this network and have the profile. But then, and this is always dangerous, I'm like, okay, I want to see a world where thousands of agents are out there in order for the... Because those digital employees, the digital workers don't exist yet in any meaningful way. And so then I'm like, oh, can I make that easier for, like... And so I have, as one does, it's like, oh, I'll build a low-code platform for building agents. How hard could that be, right? Like, very hard, as it turns out. But it's been fun. So now, agent.ai has 1.3 million users. 3,000 people have actually, you know, built some variation of an agent, sometimes just for their own personal productivity. About 1,000 of which have been published. And the reason this comes back to MCP for me, so imagine that and other networks, since I know agent.ai. So right now, we have an MCP server for agent.ai that exposes all the internally built agents that we have that do, like, super useful things. Like, you know, I have access to a Twitter API that I can subsidize the cost. And I can say, you know, if you're looking to build something for social media, these kinds of things, with a single API key, and it's all completely free right now, I'm funding it. That's a useful way for it to work. And then we have a developer to say, oh, I have this idea. I don't have to worry about open AI. I don't have to worry about, now, you know, this particular model is better. It has access to all the models with one key. And we proxy it kind of behind the scenes. And then expose it. So then we get this kind of community effect, right? That says, oh, well, someone else may have built an agent to do X. Like, I have an agent right now that I built for myself to do domain valuation for website domains because I'm obsessed with domains, right? And, like, there's no efficient market for domains. There's no Zillow for domains right now that tells you, oh, here are what houses in your neighborhood sold for. It's like, well, why doesn't that exist? We should be able to solve that problem. And, yes, you're still guessing. Fine. There should be some simple heuristic. So I built that. It's like, okay, well, let me go look for past transactions. You say, okay, I'm going to type in agent.ai, agent.com, whatever domain. What's it actually worth? I'm looking at buying it. It can go and say, oh, which is what it does. It's like, I'm going to go look at are there any published domain transactions recently that are similar, either use the same word, same top-level domain, whatever it is. And it comes back with an approximate value, and it comes back with its kind of rationale for why it picked the value and comparable transactions. Oh, by the way, this domain sold for published. Okay. So that agent now, let's say, existed on the web, on agent.ai. Then imagine someone else says, oh, you know, I want to build a brand-building agent for startups and entrepreneurs to come up with names for their startup. Like a common problem, every startup is like, ah, I don't know what to call it. And so they type in five random words that kind of define whatever their startup is. And you can do all manner of things, one of which is like, oh, well, I need to find the domain for it. What are possible choices? Now it's like, okay, well, it would be nice to know if there's an aftermarket price for it, if it's listed for sale. Awesome. Then imagine calling this valuation agent. It's like, okay, well, I want to find where the arbitrage is, where the agent valuation tool says this thing is worth $25,000. It's listed on GoDaddy for $5,000. It's close enough. Let's go do that. Right? And that's a kind of composition use case that in my future state. Thousands of agents on the network, all discoverable through something like MCP. And then you as a developer of agents have access to all these kind of Lego building blocks based on what you're trying to solve. Then you blend in orchestration, which is getting better and better with the reasoning models now. Just describe the problem that you have. Now, the next layer that we're all contending with is that how many tools can you actually give an LLM before the LLM breaks? That number used to be like 15 or 20 before you kind of started to vary dramatically. And so that's the thing I'm thinking about now. It's like, okay, if I want to... If I want to expose 1,000 of these agents to a given LLM, obviously I can't give it all 1,000. Is there some intermediate layer that says, based on your prompt, I'm going to make a best guess at which agents might be able to be helpful for this particular thing? Yeah.Alessio [00:44:37]: Yeah, like RAG for tools. Yep. I did build the Latent Space Researcher on agent.ai. Okay. Nice. Yeah, that seems like, you know, then there's going to be a Latent Space Scheduler. And then once I schedule a research, you know, and you build all of these things. By the way, my apologies for the user experience. You realize I'm an engineer. It's pretty good.swyx [00:44:56]: I think it's a normie-friendly thing. Yeah. That's your magic. HubSpot does the same thing.Alessio [00:45:01]: Yeah, just to like quickly run through it. You can basically create all these different steps. And these steps are like, you know, static versus like variable-driven things. How did you decide between this kind of like low-code-ish versus doing, you know, low-code with code backend versus like not exposing that at all? Any fun design decisions? Yeah. And this is, I think...Dharmesh [00:45:22]: I think lots of people are likely sitting in exactly my position right now, coming through the choosing between deterministic. Like if you're like in a business or building, you know, some sort of agentic thing, do you decide to do a deterministic thing? Or do you go non-deterministic and just let the alum handle it, right, with the reasoning models? The original idea and the reason I took the low-code stepwise, a very deterministic approach. A, the reasoning models did not exist at that time. That's thing number one. Thing number two is if you can get... If you know in your head... If you know in your head what the actual steps are to accomplish whatever goal, why would you leave that to chance? There's no upside. There's literally no upside. Just tell me, like, what steps do you need executed? So right now what I'm playing with... So one thing we haven't talked about yet, and people don't talk about UI and agents. Right now, the primary interaction model... Or they don't talk enough about it. I know some people have. But it's like, okay, so we're used to the chatbot back and forth. Fine. I get that. But I think we're going to move to a blend of... Some of those things are going to be synchronous as they are now. But some are going to be... Some are going to be async. It's just going to put it in a queue, just like... And this goes back to my... Man, I talk fast. But I have this... I only have one other speed. It's even faster. So imagine it's like if you're working... So back to my, oh, we're going to have these hybrid digital teams. Like, you would not go to a co-worker and say, I'm going to ask you to do this thing, and then sit there and wait for them to go do it. Like, that's not how the world works. So it's nice to be able to just, like, hand something off to someone. It's like, okay, well, maybe I expect a response in an hour or a day or something like that.Dharmesh [00:46:52]: In terms of when things need to happen. So the UI around agents. So if you look at the output of agent.ai agents right now, they are the simplest possible manifestation of a UI, right? That says, oh, we have inputs of, like, four different types. Like, we've got a dropdown, we've got multi-select, all the things. It's like back in HTML, the original HTML 1.0 days, right? Like, you're the smallest possible set of primitives for a UI. And it just says, okay, because we need to collect some information from the user, and then we go do steps and do things. And generate some output in HTML or markup are the two primary examples. So the thing I've been asking myself, if I keep going down that path. So people ask me, I get requests all the time. It's like, oh, can you make the UI sort of boring? I need to be able to do this, right? And if I keep pulling on that, it's like, okay, well, now I've built an entire UI builder thing. Where does this end? And so I think the right answer, and this is what I'm going to be backcoding once I get done here, is around injecting a code generation UI generation into, the agent.ai flow, right? As a builder, you're like, okay, I'm going to describe the thing that I want, much like you would do in a vibe coding world. But instead of generating the entire app, it's going to generate the UI that exists at some point in either that deterministic flow or something like that. It says, oh, here's the thing I'm trying to do. Go generate the UI for me. And I can go through some iterations. And what I think of it as a, so it's like, I'm going to generate the code, generate the code, tweak it, go through this kind of prompt style, like we do with vibe coding now. And at some point, I'm going to be happy with it. And I'm going to hit save. And that's going to become the action in that particular step. It's like a caching of the generated code that I can then, like incur any inference time costs. It's just the actual code at that point.Alessio [00:48:29]: Yeah, I invested in a company called E2B, which does code sandbox. And they powered the LM arena web arena. So it's basically the, just like you do LMS, like text to text, they do the same for like UI generation. So if you're asking a model, how do you do it? But yeah, I think that's kind of where.Dharmesh [00:48:45]: That's the thing I'm really fascinated by. So the early LLM, you know, we're understandably, but laughably bad at simple arithmetic, right? That's the thing like my wife, Normies would ask us, like, you call this AI, like it can't, my son would be like, it's just stupid. It can't even do like simple arithmetic. And then like we've discovered over time that, and there's a reason for this, right? It's like, it's a large, there's, you know, the word language is in there for a reason in terms of what it's been trained on. It's not meant to do math, but now it's like, okay, well, the fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. And it's basically a form of delegation. And so the thought that's kind of rattling around in my head is that that's great. So it's, it's like took the arithmetic problem and took it first. Now, like anything that's solvable through a relatively concrete Python program, it's able to do a bunch of things that I couldn't do before. Can we get to the same place with UI? I don't know what the future of UI looks like in a agentic AI world, but maybe let the LLM handle it, but not in the classic sense. Maybe it generates it on the fly, or maybe we go through some iterations and hit cache or something like that. So it's a little bit more predictable. Uh, I don't know, but yeah.Alessio [00:49:48]: And especially when is the human supposed to intervene? So, especially if you're composing them, most of them should not have a UI because then they're just web hooking to somewhere else. I just want to touch back. I don't know if you have more comments on this.swyx [00:50:01]: I was just going to ask when you, you said you got, you're going to go back to code. What

In this episode of the Simple and Smart SEO Show, Crystal Waddell chats with SEO consultant and BrightonSEO speaker Alyssa Corso about a topic every content creator should understand—SEO content decay. Alyssa shares how content naturally loses visibility over time and outlines a strategic process for updating content to improve performance and generate real business results.From identifying "money keywords" to understanding the phases of content decay, this episode is packed with insights on how to make your existing content work harder for your business. Whether you're a startup with limited resources or a seasoned marketer, Alyssa's practical strategies will help you tie your content efforts to revenue—and avoid wasting valuable time.

Ein Relaunch ohne die Google Search Console? Vielleicht wäre das möglich, aber ohne die Search Console würde doch einiges fehlen – vor allem, wenn man zusätzlich noch einen Domain-Wechsel plant. Wofür genau braucht man das Tool: vor dem Go-Live, am Tag des Go-Lives und danach? Episode/Transcript/Shownotes: https://bloo.link/sc368 Noch mehr von Bloofusion für Dich? https://www.bloofusion.de/hallo Markus bei LinkedIn hinzufügen/ansprechen: https://www.linkedin.com/in/markushoevener/ Unsere Online-Seminare bei OMCampus: https://omcampus.bloofusion.de/

Halfway through writing nearly 24 articles for my Podcast Advent project, I started to wonder if I was wasting my time. Is this worth it? Am I writing what people actually want to read?You've probably fallen into the same trap: spending hours creating content, unsure if it's resonating with anyone. It's frustrating, exhausting, and can feel like shouting into the void. But it doesn't have to be this way.Today, we're exploring a few things you can try to come up with content that resonates with your audience — plus I'll tell you about my GAPS framework for content in 2025.Top TakeawaysLet data lead the way: Your analytics are a treasure trove of insights. Tools like Google Analytics and Search Console can show you what content performs well so you can double down on those topics.Ask your audience: Your audience is your best resource. Invite questions through email, social media, or a dedicated feedback link, and turn their questions into valuable content.Experiment, but evaluate: Testing new ideas is important, but don't forget to review the results. If something doesn't work after a few tries, let it go.Disclosure: ChatGPT has contributed more than 10% to the description and takeaways for this text, fully using the episode's transcript.LinksLeave Feedback at https://streamlinedfeedback.com ★ Support this podcast ★

Send me a message! This is part 1 of a 3 part Website Conversion Series. I'm sharing the three essential (and free!) tools you need to understand what's really happening on your website. Stop guessing why visitors aren't converting and start making data-driven decisions to boost your results.YOU WILL LEARN:The 3 free tools that reveal exactly how visitors use your websiteHow to set realistic conversion rate expectations for your industryWhat numbers actually matter for your businessHow to choose your primary conversion goalQuick setup tips for Google Analytics, Search Console, and HotjarCommon patterns that affect your conversion rate

In this episode of SEO 101, we discuss the ongoing November Core Update and its ranking volatility, the recently launched Google Search Console Recommendations that suggest SEO actions, and John Mueller's insights on why generic names struggle to rank. We also provide essential tips for a successful domain rebranding transition. Tune in for essential tips to navigate these critical SEO developments!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Cindy Krum, CEO of Mobile Moxie, discusses insights from the Brighton SEO conference, emphasizing the importance of new voices and fresh ideas in the SEO industry. Key topics include the evolving role of AI, the impact of Google's changing algorithms, and the need for SEO strategies to adapt. Krum highlights the challenges of relying on incomplete or biased data from tools like Google Analytics and Search Console. She also introduces Mobile Moxie's tools, which provide more accurate mobile search data by bypassing APIs and using real search results. The conversation underscores the need for SEO professionals to critically evaluate data and adapt to Google's shifting practices. Show NotesConnect With: Cindy Krum: Website // LinkedInThe Voices of Search Podcast: Email // LinkedIn // TwitterBenjamin Shapiro: Website // LinkedIn // TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Google began rolling out the December 2024 core update yesterday. Google said more core updates will come more often in the future. We are still seeing Google search ranking volatility all week long, starting over the weekend. Google confirmed it had a short indexing bug...

The following is a BONUS EPISODE recorded by the Exposure Ninja team. ---------- By 2026, traditional SEO traffic could plummet by 50% as AI transforms how people discover and evaluate businesses online. But here's the opportunity: while most companies are stuck in outdated SEO tactics, generative AI platforms are creating new ways to capture visibility and traffic. Generative Engine Optimisation (GEO) is fundamentally reshaping search behaviour. The data shows users aren't just changing where they search – they're completely transforming how they interact with search engines. Search Console reveals longer, more conversational queries that mirror AI chatbot interactions. Users have multiple AI platform touchpoints before ever reaching a website through Google. Success requires a shift from traditional SEO thinking. Instead of chasing rankings, businesses need to focus on building genuine authority across platforms, managing user-generated content, and creating clear, contextual content that AI platforms can confidently reference. The early adopters implementing these strategies now will dominate their industries by 2025. In this Podcast Extra, some of our front-line marketers discuss how you can optimise for these new platforms and how to strategise for multi-platform dominance too. Apply for a FREE website and marketing review: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://exposureninja.com/review/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Get the show notes: https://exposureninja.com/podcast/extra-043/

It's Going To Be OK! Kevin Indig jumped into the host seat for Erin while he was away!  Kevin and Jacob discuss the DOJ's continued push for Google's break-up of products, specifically Google Chrome. They dissect Google's new Search Console features and their broader implications for data control and AI dominance. They also critique Google's latest moves, from real-time site notifications that miss the mark to the continued saga of Mullenweg's crusade against WPEngine with an update to his WPEngine Tracker site.  Don't miss out on Jacob's witty commentary and Kevin's sharp insights as we navigate the whirling winds of tech regulation, Google's evolving strategies, and the future of digital search.  News from the EDGE: [00:02:12] Mullenweg is updating the WP Engine Tracker website again… [00:08:10] Recommendations are now live in Google Search Console [00:10:58] EDGE of the Web Title Sponsor: Site Strategics [00:12:04] The DOJ's Plan to Bring Down Google's Monopoly AI Blitz: [00:22:50] ChatGPT Search Fails Attribution Test, Misquotes News Sources [00:29:08] EDGE of the Web Sponsor: InLinks Barry Blast from Search Engine Roundtable: [00:30:12] Google Sitelinks Search Box Now Really Gone [00:31:20] Google On Giving Prior Notice To Search Penalties [00:38:03] 21 Years Covering The Search Industry Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site Inlinks https://edgeofthewebradio.com/inlinks Follow Us: X: @ErinSparks X: @Kevin_Indig X: @TheMann00 X: @EDGEWebRadio

What is Google's latest shake-up? The Page Experience Report's exit from Search Console. This week, we are joined by the insightful Lidia Infante from SurveyMonkey, as we explore the headlines in the SEO and Marketing world. The DOJ has some audacious demands for Google to sell Chrome, and ads have finally hit the AI Overview pages: We even unpack the drama-filled lawsuit between WP Engine and Automattic, questioning the ethical boundaries of open-source communities. This is the stuff that only Andy Cohen can unravel at this point.  Ever wondered about the environmental costs of AI? Lidia hits us with some eye-opening facts while we dissect Google's claim of reducing power consumption by 90%. Don't miss our banter over volatile localization signals and ranking shifts during Google's November Core Update! News from the EDGE: [00:04:28] Google Search Console Drops Page Experience Report [00:09:59] Ads Now Being Seen on Google AI Overviews [00:18:25] EDGE of the Web Title Sponsor: Site Strategics [00:19:46] WP Engine Intensifies Legal Dispute With Automattic [00:28:54] DOJ is Pushing for a Sell-Off of Google's Chrome Browser [00:37:11] EDGE of the Web Sponsor: InLinks  Barry Blast from Search Engine Roundtable: [00:38:28] Google Also Cautions On Using Google People Also Ask For Content Ideas [00:39:54] Google November 2024 Core Update Movement - Slow But For Some Massive Bonus Coverage: [00:42:19] Freaky AI News: Human, Please die. Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site Inlinks https://edgeofthewebradio.com/inlinks Follow Us: X: @ErinSparks X: @LidiaInfanteM X: @TheMann00 X: @EDGEWebRadio

I'm not gonna lie, when I first found out what Search Console was I was like, "what the what??" Now, it's one of my favorite tools for working smarter not harder in my SEO efforts.  (P.S. It's free) Listen in for a simple explanation of search console and learn 3 (ok 4) steps to use it in your business to get MORE of the RIGHT people clicking over to your website.  Free training: Learn how to get 300X More Website Traffic in a Year in 3 Simple Steps   Join Simple SEO Framework & Group Coaching Program. Learn how to get 300%, 500%, even 12,000% more website traffic in a year.  to get your website set up for SEO Success in a DAY & learn how to maintain a traffic-generating machine in 2hrs/ week. Ready to get your website copy AND your SEO strategy DONE in a day? Snag a spot for a VIP Copy Day! Book your discovery call here! Join the Facebook Group Email info@faithhanan.com Book Your SEO and Keywords Strategy Call  

In this episode of SEO 101, we explore Google's upcoming search ranking update and the frustrations voiced by content creators affected by the Helpful Content Update. We discuss a recent Google Search Console bug that caused panic among site owners and provide insights into the evolving landscape of SEO best practices.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Send us a textWhat if you could streamline your SEO efforts and unlock more precise insights into your site's performance with just a few clicks? Join me, Ed Dawson, as I explore the groundbreaking features in our latest Search Console integration at Keywords People Use. Discover how the new "watch" feature, visualization tools, and similarity score can transform your SEO strategies. With the simple addition of a heart icon, prioritize the queries and pages that matter most, while the powerful visualization tools provide you with a crystal-clear view of performance trends over time. The innovative similarity score uses advanced embeddings to evaluate the relevance between queries and corresponding pages with unprecedented precision.In the second part of our podcast episode, we dive into the transformative potential of embeddings for content relevance and optimization. Beyond mere keyword frequency, these advanced tools align page content with user intent, revealing unique opportunities for enhancing existing content. Explore how this approach shifts "Keywords People Use" from a basic keyword research tool to a comprehensive platform for ongoing content optimization and monitoring. By capitalizing on existing pages that Google already trusts, you'll create a cycle of continuous improvement and traffic growth. I'm thrilled to share these tools that have the potential to revolutionize your SEO practices. Tune in to hear how they can elevate your SEO game to new heights.SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.comYou can get your free copy of my 101 Quick SEO Tips at: https://seotips.edddawson.com/101-quick-seo-tipsTo get a personal no-obligation demo of how KeywordsPeopleUse could help you boost your SEO then book an appointment with me nowSee Edd's personal site at edddawson.comAsk me a question and get on the show Click here to record a questionFind Edd on Twitter @channel5Find KeywordsPeopleUse on Twitter @kwds_ppl_use"Werq" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/

In my latest episode of the Blogger Genius Podcast, I welcome back Britt Reber, founder of Growing Your Traffic, for an in-depth discussion on the transformative role of AI in blogging and SEO. Britt shares her thoughts on how best to leverage AI tools, which are her favorites, how to maintain a human touch in your content, and evolving monetization strategies for bloggers. Show Notes: MiloTree Join The Blogger Genius Newsletter Britt Reber Growing Your Traffic Resource Guide Personality Quiz: What Digital Product Should I Create? Become a Blogger Genius Facebook Group ChatGPT Jasper Nightwatch Keywords Everywhere Subscribe to the Blogger Genius Podcast: iTunes YouTube Spotify The Value of Connection in a Digital World Building Genuine Relationships Despite the vast amount of information available online, genuine human connection has become increasingly valuable. The COVID-19 pandemic has intensified this craving for connection, leading people to seek out content and communities that resonate with them. Actionable Tips: Engage with Your Audience:** Respond to comments, emails, and social media messages to build a sense of community. Share Personal Stories:** Incorporate personal anecdotes and experiences into your content to create a more relatable and engaging narrative. Offer Value: Provide valuable content that addresses your audience's needs and interests, fostering a loyal following. AI Tools for Content Creation and SEO Britt shares her agency's experience with AI tools, highlighting their role in enhancing content creation and SEO. She expresses her preference for Jasper, an AI writing tool known for its versatility and ease of use. While ChatGPT is also a viable alternative, especially with its paid version offering more up-to-date information, Britt believes that investing in a quality AI tool can significantly enhance content creation efficiency. Actionable Tips: Choose the Right AI Tool: Evaluate different AI tools like Jasper and ChatGPT to find the one that best suits your needs. Use AI for Drafting: Utilize AI tools to draft content quickly, then refine and add your personal touch to maintain authenticity. Stay Updated: Keep up with the latest AI advancements to leverage new features and capabilities. Effective SEO Strategies Britt also shares about her favorite SEO tool, Nightwatch, which allows users to monitor keyword rankings and connect with Google Analytics and Search Console. This tool provides valuable insights into traffic trends and keyword performance, enabling her agency to track client progress effectively. Actionable Tips: Monitor Keyword Rankings: Use tools like Nightwatch to track your keyword performance and adjust your strategy accordingly. Analyze Traffic Trends: Regularly review your website's traffic data to identify patterns and opportunities for improvement. Optimize Content: Continuously update and optimize your content based on keyword performance and user behavior. Keyword Research Strategies Keyword research is still very important for driving traffic. Britt highlights the effectiveness of using Google's autocomplete feature and the "People Also Ask" section to discover relevant keywords. She encourages listeners to analyze the top-ranking pages for their target keywords to understand what makes them successful. Actionable Tips: Use Google Autocomplete: Type in your main keywords and see what suggestions Google provides to discover related search terms. Explore "People Also Ask": Review the questions in this section to identify common queries and create content that addresses them. Analyze Competitors: Study the top-ranking pages for your target keywords to understand their content structure and strategy. The Role of Backlinks Britt explains that backlinks are crucial for improving a website's authority and visibility on search engines. She notes that a natural backlink profile is essential, which means having a diverse mix of links from both low-powered and high-powered websites. Google favors this variety, as it appears more organic. Actionable Tips: Create High-Quality Content: Focus on producing valuable, informative content that naturally attracts backlinks. Guest Posting: Reach out to reputable websites in your niche for guest posting opportunities to gain quality backlinks. Analyze Competitor Backlinks: Use tools like Ahrefs or SEMrush to study your competitors' backlink profiles and identify potential link-building opportunities. Monetization Strategies for Bloggers The monetization landscape for blog monetization is changing. Traditional revenue streams, such as affiliate marketing and ad placements, are becoming less effective due to increased competition and changes in user behavior. Britt advises bloggers to explore high-ticket affiliate offers and to consider creating digital products, such as online courses or mentorship programs, as a means of generating income. Actionable Tips: High-Ticket Affiliate Offers: Partner with brands that offer high-ticket items to earn higher commissions. Create Digital Products: Develop online courses, eBooks, or membership programs to diversify your income streams. Offer Services: Consider offering consulting, coaching, or other services that leverage your expertise. The Importance of Personal Connection Britt emphasizes that when people invest in a mentorship or membership program, they are often buying into the person behind the brand rather than just the product itself. This underscores the necessity of sharing personal stories and connecting with audiences on a deeper level. Actionable Tips: Build Trust: Share your journey, successes, and challenges to build trust with your audience. Engage Personally: Offer personalized interactions, such as live Q&A sessions or one-on-one consultations, to strengthen your connection with your audience. Show Authenticity: Be genuine and transparent in your communications to foster a loyal and engaged community. Conclusion By leveraging AI tools, maintaining a human touch in content creation, and exploring diverse monetization strategies, bloggers can navigate the evolving digital landscape and achieve long-term success. Key Takeaways: Embrace AI Tools: Use AI to enhance content creation efficiency while maintaining authenticity. Focus on Connection: Build genuine relationships with your audience through personal stories and engagement. Diversify Income Streams: Explore high-ticket affiliate offers and create digital products to generate income. Other Related Blogger Genius Podcast episodes You'll Enjoy: How to Turn a “Nice-to-Have” Product Into a “Must-Have” with These 6 Triggers with Jillian Leslie The Best Blog Content Tools You've Never Heard Of with Britt Reber Why Blogging Is Far from Dead with Amy Reinecke and Jennifer Draper MiloTree, the Best Tool for Non-Techies to Sell Digital Products and Grow Your Audience I also want to introduce you to the MiloTree, a tool designed for non-techies to sell digital products easily. It comes with features like AI-generated sales pages, check-out pages, a sales dashboard, upsells, and customer support. With MiloTree, setting up your products takes less than five minutes, and you can start generating income without any hassle. Plus, MiloTree offers unlimited freebies and lead magnets to grow your email list, and social media pop-ups to increase your followers, all in one place. Sign up today and get your first 30 days free to see how easy it is to start selling your digital products and growing your audience with MiloTree!

The counter-intuitive strategy that could triple your engagement. Shoppers are browsing on social, but why aren't they buying? Email marketers hit a high note. And why your Search Console's performance report is empty..Today's story links.

In this episode, I interview David from SEO Crawl about recent updates to their SEO tool. We explore how SEO Crawl can help SEO workflows and provide more accurate data compared to some other popular tools in the market. Key points discussed: SEO Crawl's ability to access 100% of Search Console data, offering more comprehensive insights Automated brand vs non-brand keyword tracking setup, which significantly reduces manual work Custom annotations feature for tracking the impact of SEO changes over time Upcoming features, including automated search intent classification and improved reporting capabilities The conversation highlights how SEO Crawl can potentially consolidate multiple tools into one platform, offering both data analysis and actionable insights. This episode offers valuable insights for SEO professionals at all levels, from beginners to experienced practitioners. It provides a comprehensive overview of SEO Crawl's capabilities and its potential to improve SEO workflows. David also mentions an upcoming book on SEO reporting, which may be of interest to those looking to enhance their reporting processes. Check SEOcrawl: https://seosly.com/seocrawl Follow SEO Consultant Olga Zarr or hire Olga to help you with SEO:

Send us a textYou can see the video tutorial on Youtube hereSEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.comYou can get your free copy of my 101 Quick SEO Tips at: https://seotips.edddawson.com/101-quick-seo-tipsTo get a personal no-obligation demo of how KeywordsPeopleUse could help you boost your SEO then book an appointment with me nowSee Edd's personal site at edddawson.comAsk me a question and get on the show Click here to record a questionFind Edd on Twitter @channel5Find KeywordsPeopleUse on Twitter @kwds_ppl_use"Werq" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/

Many inherent legacy issues with WordPress open the door to bad actors. It’s an amazing CMS, but I wish the core team would focus on correcting issues plaguing WordPress for over a decade. One such issue that continues to plague WordPress is comment SPAM. It’s so bad that I’ve disabled comments altogether here on Martech …

Another week and more Google Search ranking volatility, in fact, it has not calmed but we saw even more spikes in the middle of this week. Google Search Console may have a bug with product snippets reporting. Google...

¿Entre el SEO y el PPC puede haber amor? Hoy venimos a investigarlo junto a Lola López, la Paid Media Manager de una de las agencias más conocidas por el SEO en España y donde nos explicara cómo es la relación con ese departamento y todo lo que se puede exprimir de una colaboración entre ambos departamentos. 00:00 Introducción al PPC y SEO03:10 Relación entre SEO y PPC en WebPositer06:03 Ventajas de la Sinergia entre SEO y PPC08:57 Importancia del Remarketing12:12 Uso de Search Console y su Impacto15:03 Estrategias de Branding y Mensajes17:48 Keyword Research: Colaboración entre SEO y PPC21:03 Remarketing: Estrategias y Audiencias23:52 Definición de Audiencias y Lead Magnets27:04 Plataformas de Remarketing: Google vs Meta29:55 Frecuencia y Exclusión en Remarketing46:59 Estrategias para nuevos clientesURL Episodio: https://ppccast.com/podcast/209-el-amor-entre-el-seo-y-el-ppc-con-lola-lopezWeb: ppccast.comPPCFest: ppcfest.comPPCCast+: ppccast.com/plusPatrocinadoresRaiola Networks: ppccast.com/raiolaData Feed Watch: ppccast.com/datafeedConvertiam: ppccast.com/convertiam

In this episode of Search Off the Record, Irina Tuduce from the shopping team joins John Mueller and Lizzi Sassman to chat all things shopping data, from schema.org to feeds spec. Listen along as we chat about how shopping infrastructure gets its data, why pricing data can be tricky, and what the Shopping team has been working on this year. Resources: Episode transcript → https://goo.gle/sotr081-transcript Irina Tuduce on LinkedIn → https://goo.gle/3Xuiywf Product structured data → https://goo.gle/4eaPJus Feed spec in Merchant Center → https://goo.gle/3Tdl2MU How to set up Merchant Center account → https://goo.gle/4gcSPjq Merchant-level organization markup → https://goo.gle/47fvmd2 Schema.org community on GitHub → https://goo.gle/4e7A6E3 Variants in Google Search → https://goo.gle/4dU4BOc  Merchant Listings report in Search Console → https://goo.gle/47hlNuu    Listen to more Search Off the Record → https://goo.gle/sotr-yt Subscribe to Google Search Channel → https://goo.gle/SearchCentral   Search Off the Record is a podcast series that takes you behind the scenes of Google Search with the Search Relations team.

Join us in this insightful SEO 101 podcast episode where we cover the latest Google updates, SEO trends, and reveal handy AI quick tips. Dive deep into discussions on Google Trends enhancements, Search Console data insights, URL parameter optimization plans, and challenges affecting hotel listings. Stay informed on essential SEO strategies!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

From our Sponsors at SimmerGo to TeamSimmer and use the coupon code DEVIATE for 10% on individual course purchases.The Technical Marketing Handbook provides a comprehensive journey through technical marketing principles.A new course is out now! Chrome DevTools for Digital MarketersLatest content from Juliana & SimoNew Piwik PRO Templates In Server-side Google Tag Manager by Simo AhavaArticle: Unlocking Real-Time Insights: How does Piwik PRO's Real-Time Dashboarding Feature work? by Juliana JacksonAlso mentioned in the EpisodePiwik PROServer Side Webinar with Simo and Piwik PROGTM ToolsStape.ioGoogle Algo Leak explainedGenerative Engine OptimisationGoogle Satisfaction Score PaperSMX LondonConnect with Michael KingLinkedinhttps://ipullrank.com/ This podcast is brought to you by Juliana Jackson and Simo Ahava. Intro jingle by Jason Packer and Josh Silverbauer.

We sat down with Mihai Aperghis, a Google Product Expert (PE) for Search, when he visited the Zurich office for the PE Summit this year. In this episode we talk about how he started his SEO agency, the tools he built, and his role as a Product Expert in the Search Central Help Community. Mihai explains how he built tooling to get data from Search Console into Google Sheets and how he automated this process as well as what features he'd like to see coming to the Search Console API. Resources: Episode transcript → https://goo.gle/sotr080-transcript Mihai on X → https://goo.gle/4dUzL7I Mihai's tools → https://goo.gle/4dW3yNj Mihai's recap of the PE Summit → https://goo.gle/4cAKhQ4 Search Central Help Community → https://goo.gle/4dUzOAq Intro to Search Console API → https://goo.gle/3AzkJ8P

 In this episode of the SEO 101 Podcast, we explore significant updates from Google, including recent search ranking volatility and the launch of new recommendations in Search Console. We also discuss Googlebot's link crawling behavior, shedding light on how it impacts SEO strategies and website performance. Tune in for insights like this every week!Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

For the original iTunes version, click here. This week, we covered the big ruling that Google is officially a monopoly, a federal judge ruled. Google search ranking volatility heated up the day after that ruling...

Wix has never been a platform that agency owners or SEOs recommended. It was the DIY website builder for small businesses.SEOs brought up glaring issues such as the entire site structure being built with Javascript, the inability to issue 301 redirects, edit robots.txt, and the lack of simple integrations to necessary tools like Google Analytics, Search Console, and Facebook Pixel.Since then, Wix has had a bad reputation with agencies. However, it's clear the Wix of today is not the same Wix of 2015.In this episode, we talk to Kobi Gamliel, the Head of Agency Growth at Wix Studio on why he's confident Wix Studio is going to take over the agency space and become a preferred platform by agencies.Kobi isn't just all talk. He also founded and owned two digital marketing agencies prior to joining Wix in 2014 which we dive into and learn more granular details about.Wix Studio is a new platform for Wix built specifically for agencies who manage multiple client sites. For lack of better phrasing, we're quite blown away with the platform's new capabilities and integrations. WordPress should be afraid.And don't worry, we make sure to press Kobi on the bad SEO claims Wix has gotten in the past and why people are still repeating things initially stated a decade ago before we get into the Wix Studio platform.----------------------------------Kobi Gamliel is the Head of Agency Growth at Wix Studio. Leveraging almost a decade of experience at Wix, he previously led a product group dedicated to developing innovative marketing technology and services to help Wix SMB users grow their businesses. Before joining Wix, Kobi founded two digital marketing agencies. His extensive experience in digital marketing and agency leadership drives the growth and success of Wix Studio's agency initiatives, enabling the Wix Studio team to achieve impactful marketing and business outcomes.Reach out to Kobi on LinkedIn or email him directly:linkedin.com/in/kobigamliel/kobig@wix.com----------------------------------⭐⭐⭐⭐⭐As always, if you enjoyed this episode or this podcast in general and want to leave us a review or rating, head over to Apple and let us know what you like! It helps us get found and motivates us to keep producing this free content.----------------------------------Want to connect with us? Reach out to us on the everbrospodcast.com website, follow us on YouTube, or connect with Jake on socials:Twitter/X: @HundleyJakeLinkedIn: linkedin.com/in/jake-hundley/Facebook: facebook.com/jake.hundley.1Instagram: instagram.com/jakehundley/Reddit: u/JakeHundleyTikTok: @jakehundley

Which platform is best for marketing your law firm? Facebook? TikTok? Insta? Reddit? Well, it depends… And later, hold on to your data, folks! Does a vendor's use of tracking pixels benefit you or them? ----- Take it easy, attorneys! We're just joshing. Now, depending on your practice area, certain social media platforms may be better suited to connecting you to your target audience. The guys zero in on which creative strategies work well for differing areas of law and explain how to determine the social media platforms you should be focused on.  Later, what can tracking pixels (like from iHeartRadio, etc.) do for you? Every pixel seems to have a tradeoff, and some of them most likely aren't worth your while. Gyi and Conrad discuss the benefits and the possible lurking downsides in pixels. The News: At the time of this recording, Google's Search Console had been down for 81 hours. Get it together already, Googs. And, more Googliness: Google Search Ranking Volatility Over June 28th & 29th Weekend Is AI search declining? – AI searches around 9% and zero click at 59% and Search Engine Land - AI Overviews  Ryan McKeen launches Best Era and you don't want to miss it!  Last, but not least, Conrad made an appearance on Charlie Mann's podcast - They Don't Teach This in Law School Mentioned in this Episode: LHLM Episode - 5 Fresh Takeaways from Clio's Legal Trends Report || The Case Against ROI - Legal Talk Network The Bite - Lunch Hour Legal Marketing Newsletter! Leave Us an Apple Review  Lunch Hour Legal Marketing on YouTube  Lunch Hour Legal Marketing on TikTok

Which platform is best for marketing your law firm? Facebook? TikTok? Insta? Reddit? Well, it depends… And later, hold on to your data, folks! Does a vendor's use of tracking pixels benefit you or them? ----- Take it easy, attorneys! We're just joshing. Now, depending on your practice area, certain social media platforms may be better suited to connecting you to your target audience. The guys zero in on which creative strategies work well for differing areas of law and explain how to determine the social media platforms you should be focused on.  Later, what can tracking pixels (like from iHeartRadio, etc.) do for you? Every pixel seems to have a tradeoff, and some of them most likely aren't worth your while. Gyi and Conrad discuss the benefits and the possible lurking downsides in pixels. The News: At the time of this recording, Google's Search Console had been down for 81 hours. Get it together already, Googs. And, more Googliness: Google Search Ranking Volatility Over June 28th & 29th Weekend Is AI search declining? – AI searches around 9% and zero click at 59% and Search Engine Land - AI Overviews  Ryan McKeen launches Best Era and you don't want to miss it!  Last, but not least, Conrad made an appearance on Charlie Mann's podcast - They Don't Teach This in Law School Mentioned in this Episode: LHLM Episode - 5 Fresh Takeaways from Clio's Legal Trends Report || The Case Against ROI - Legal Talk Network The Bite - Lunch Hour Legal Marketing Newsletter! Leave Us an Apple Review  Lunch Hour Legal Marketing on YouTube  Lunch Hour Legal Marketing on TikTok

In this episode, I look through some strategies for analyzing and overcoming plateaued traffic to improve SEO performance. I clarify that experiencing a traffic plateau is typical and should not be viewed as a setback. The focus is on pinpointing specific keywords and pages with potential for improved rankings. I advise utilizing the Search Console to determine which pages are excelling and which ones have declined in ranking. I also highlight the importance of targeting new keywords to reach previously untapped audiences.  Website Links:   Full episode shownotes for this episode: https://digitalbloomiq.com/seo/traffic-plateau   Get email updates on all podcast episodes (+ SEO tips, behind the scenes, and early bird offers) : here: https://digitalbloomiq.com/email   90 Day SEO Plan: Your Dream Clients Booking You Overnight! Free webinar training here: https://digitalbloomiq.com/90dayseoplan More information about the podcast and Digital Bloom IQ:   https://digitalbloomiq.com/podcast https://www.instagram.com/digitalbloomiq/ https://twitter.com/digitalbloomiq https://facebook.com/digitalbloomiq https://www.linkedin.com/in/cinthia-pacheco/ Voice Over, Mixing and Mastering Credits: L. Connor Voice - LConnorvoice@gmail.com Lconnorvoice.com Music Credits:  Music: Kawaii! - Bad Snacks Support by RFM - NCM: https://bit.ly/3f1GFyN

This was one heck of a week with Google's search ranking data features being leaked...

In this behind the scenes episode, you get a taste of the SEO Seasons Society monthly demo calls. In this demo call, we review Jen's reporting using Looker Studio, Search Console and Google Analytics. We explore a few different reports, including vanity metrics, search console, and landing pages in Google Analytics and what to do with this information. My hope is that this conversation helps you better understand your SEO and take action based on the data. Full episode shownotes: https://digitalbloomiq.com/seo/demo-seo-call What You'll Learn in This Episode:   Tracking and analyzing data is crucial for making informed decisions Re-optimizing pages based on keyword performance can improve SEO Focusing on pages that attract the most traffic can lead to better results Understanding and taking action based on data is key to success in digital marketing Resources Mentioned:   Looker Studio: https://lookerstudio.google.com/ Google Search Console: https://search.google.com/u/1/search-console Google Analytics: https://analytics.google.com/analytics/web/ SEO Seasons Society: https://courses.digitalbloomiq.com/seo-seasons-society Website Links:   Full episode shownotes for this episode: https://digitalbloomiq.com/seo/demo-seo-call   Get email updates on all podcast episodes (+ SEO tips, behind the scenes, and early bird offers) here: https://digitalbloomiq.com/email   90 Day SEO Plan: Your Dream Clients Booking You Overnight! Free webinar training here: https://digitalbloomiq.com/90dayseoplan More information about the podcast and Digital Bloom IQ:   https://digitalbloomiq.com/podcast https://www.instagram.com/digitalbloomiq/ https://twitter.com/digitalbloomiq https://facebook.com/digitalbloomiq https://www.linkedin.com/in/cinthia-pacheco/ Voice Over, Mixing and Mastering Credits: L. Connor Voice - LConnorvoice@gmail.com Lconnorvoice.com Music Credits:  Music: Kawaii! - Bad Snacks Support by RFM - NCM: https://bit.ly/3f1GFyN  

Dive into this episode where we dissect the intricacies of launching and revamping websites to maximize performance and visibility. Whether you're mulling over a new website or contemplating revamping an existing one, this episode serves as a masterclass in understanding the critical steps from conception through to going live and beyond. Join us as we unravel two distinct case studies—Frizzo and Cricket Matters—and share expert insights to elevate your online presence!Timeline Summary:[00:00:42] Frizzo Website Launch[00:01:21] Staging and Testing[00:04:28] SEO and Google Rankings [00:06:34] Cricket Matters Revamp [00:07:55] Website Health and Speed Key Takeaways:Pre-Launch Testing: Before going live, it's crucial to conduct a thorough staging process, which includes testing links and functionality to ensure no errors that could impact user experience.SEO Essentials: Integrating tools like Google Analytics and Search Console right from the start is vital for tracking and improving your website's search engine performance.Optimization for Mobile and Desktop: Confirm that the site works flawlessly across all devices to cater to a broader audience.Feedback Loop: Utilize initial user testing with a small group to gather valuable feedback and make necessary adjustments.Content Must-Haves: Ensure your site includes essential pages like About Us, Contact Us, and Privacy Policies to meet user expectations and legal requirements.Post-Launch Monitoring: After the site goes live, continuous monitoring and tweaking based on user interaction and site performance are necessary.Platform Considerations: While platforms like Wix or Squarespace might be good starting points, WordPress is recommended for scaling, optimizing, and customizing your website extensively.Websites and Links Mentioned:Strength MattersWebsite AuditFree Strategy CallQuotes:"Launching a new website involves more than just going live; it's about creating a fully functional, error-free environment." — James Breese"Ensure every aspect of your site works perfectly on both mobile and desktop to provide a seamless user experience." — James Breese"SEO isn't just an add-on; it's a crucial foundation for your website's visibility and success." — James Breese"Feedback is invaluable—use it to refine and perfect your site post-launch." — Josh Kennedy"First impressions online are crucial; optimize your site to make a powerful impact from the first click." — Andrew WallisShow Your Support: Rate and Review Us!If you enjoyed today's episode, please consider giving us a 5-star rating and a review on Apple Podcasts or wherever you listen to podcasts. Your support helps us reach more people and bring you even more quality content. Click the link below to rate and review us now! Rate and Review us on Apple Podcasts FREE DownloadsTo learn more about Strength Matters and our high-performance training system, download your FREE copy of The Strength Matters System of Athletic Development. Get it at - www.strengthmatters.com/system