Podcasts about Google Search Console

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In this episode, we discuss the critical role of Google Search Console and SEO Gets for establishing a strong online presence and driving business growth. We highlight how these tools enable businesses to track website performance, understand user behavior, and optimize content for search engines like Google and Bing. The discussion also touches upon the importance of consistently updating website content to maintain relevance and leverage the full potential of SEO for long-term impact. Ultimately, the sources underscore that a well-optimized website, integrated with analytics and search console tools, is essential for converting online visibility into tangible business results.FAQsWhat are Google Search Console and SEO Gets, and why are they important for online presence?Google Search Console (formerly Webmaster Tools) and SEO Gets are critical tools for managing and improving a website's visibility in search engine results. Google Search Console is a free tool provided by Google that allows website owners to monitor their site's performance in Google Search, identify issues, and submit sitemaps. SEO Gets (episode coming out soon) is a privately owned platform that offers similar functionalities, with a paid version providing more extensive data and bandwidth for analysis. Both platforms act as a "dashboard" for your online presence, helping you understand how people find your website and track conversions. Connecting your website to these tools is a one-time, foundational step, similar to getting the keys to a house or turning on the lights; it establishes the essential connection for your website to send traffic signals to search engines like Google and Bing. Without these connections, your online content, even social media posts, can be seen as "posting to thin air" because there's no system to track its impact and translate it into actionable data.What is the concept of "content decay" and how can it be prevented or mitigated?"Content decay" refers to the natural decline in the relevance and visibility of an article or blog post over time. A typical blog post has a lifespan of about 24 months in terms of prime visibility. After this period, search engines are less likely to prioritize it in search results unless it's updated. To prevent content decay and maintain relevance, it's essential to regularly refresh or republish articles. This involves updating the "modified date" of the content, which signals to search engines that the information is current. Just as a car's front wheels dictate its direction, the modification date allows an article to "turn left or right" in terms of relevance and continued traffic. Updating content with new statistics, information, or perspectives refreshes its cycle, giving it another 12-24 months of potential leverage and allowing it to continue building traffic and influence.Access to Resources ⬇️Need SEO services?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our club community for exclusive information

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 1716: Jen Hayes shares a practical blueprint for transforming modest blog traffic into thousands of monthly page views using strategic Pinterest marketing, SEO, and content planning. Listeners will gain actionable tips on driving sustainable growth, even without a large social media following or paid ads. Read along with the original article(s) here: https://www.jenhayes.me//how-to-go-from-hundreds-of-page-views-per-month-to-thousands/ Quotes to ponder: "Pinterest is by far the number one driver of traffic to my blog." "You don't need to have a huge following to generate thousands of page views per month." "Content is king. Without great content, your blog will not grow - no matter how great your SEO or Pinterest strategy is." Episode references: Google Search Console: https://search.google.com/search-console Canva: https://www.canva.com/ Tailwind: https://www.tailwindapp.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we dive deep into the Six Pillars of SEO for digital marketing success; an essential ultimate guide for anyone looking to enhance their digital presence for evergreen sustainability online.Hosted by Favour Obasi-ike, MBA, MS, we'll explore how mastering these strategies can elevate your online marketing efforts and drive organic traffic to your website. Tune in as we share key insights from our extensive work with companies ranging from small startups to established brands, focusing on easy-to-implement tactics that can yield significant results. Join us for valuable discussions on leveraging SEO effectively, and discover how to utilize tools like Pinterest SEO and podcast optimization to your advantage. Don't miss out on expert tips that can transform your digital strategy!FAQsWhat is the "We Don't PLAY" podcast, and what makes it successful?The "We Don't PLAY" podcast is a show that has seen significant growth, reaching the top 93,000 out of 4.5 million podcasts globally and fluctuating between rankings in the Top #80,000 to #200,000 range per week. Its success is attributed to strong SEO practices, allowing it to stream in 145 countries. The podcast produces new seasons after every 52-100 episodes, effectively covering a year's worth of information, technology, insights, and feedback in each season. You can find more episodes at wedontplaypodcast.comWhat are the six core areas covered in the SEO checklist discussed?The SEO checklist in this episode covers six critical areas:SEO Basics: Fundamental setup and foundational knowledge.Keyword Research: Identifying and prioritizing relevant search terms.On-Page SEO: Optimizing elements directly on your website.Off-Page SEO: Building authority and visibility outside your website.Technical SEO: Ensuring your website's technical infrastructure is sound for search engines.Content: Creating valuable and engaging material. The speaker emphasizes that SEO Basics and Technical SEO are like the "buns of a sandwich"—essential for the whole structure to hold.Why is website setup so crucial for SEO, and what tools are non-negotiable?Website setup is paramount for SEO because "if you fail to plan, you plan to fail." It involves creating a visible, readable, accessible, clickable, and findable online presence. The non-negotiable tools for this are Google Search Console and Bing Webmaster Tools. These act as internet service providers for your website, allowing search engines to discover, index, and understand your content. Connecting your website to these platforms is likened to submitting a song to a radio station for play; without submission, it won't be heard.Hope you learn something new about Pinterest SEO, website SEO, and podcast SEO in this episode.Thank you for listening!Follow and subscribe to this podcast. Leave a review on Apple Podcasts, Spotify, or Podchaser on how our podcast is. We can't wait to read your beautiful words.Access to Resources ⬇️Need SEO services?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our club community for exclusive information

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 1716: Jen Hayes shares a practical blueprint for transforming modest blog traffic into thousands of monthly page views using strategic Pinterest marketing, SEO, and content planning. Listeners will gain actionable tips on driving sustainable growth, even without a large social media following or paid ads. Read along with the original article(s) here: https://www.jenhayes.me//how-to-go-from-hundreds-of-page-views-per-month-to-thousands/ Quotes to ponder: "Pinterest is by far the number one driver of traffic to my blog." "You don't need to have a huge following to generate thousands of page views per month." "Content is king. Without great content, your blog will not grow - no matter how great your SEO or Pinterest strategy is." Episode references: Google Search Console: https://search.google.com/search-console Canva: https://www.canva.com/ Tailwind: https://www.tailwindapp.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

WordPress hits play after a messy pause, but is it too little, too late for the CMS giant? Meanwhile, Google's AI experiments are changing the rules for email marketing, local search, and desktop Discover, leaving marketers everywhere scrambling for a playbook that doesn't exist. Erin and SEO pro Cindy Krum break down WordPress's mudslinging match with WP Engine and the quiet return to development, all while raising eyebrows over community trust. We check on Google's ever-evolving SERPs—AI Overviews, the deployment of Discover on desktop, and the not-so-sneaky ways impressions and clicks are decoupling faster than you can say “zero-click search.” Added to the mix: AI's impact on your inbox and why we might all end up living the “Dead Internet Theory.” Is SEO on life support or just evolving (again)? We debate the rosy new journey-centric approach while side-eyeing Google's “trust us, bro” attitude toward data transparency. Buckle up for a rapid-fire tour through the SEO wilderness—tracking AI hallucinations, local search creepiness, and why “hyper-personalization” might not sell more cannolis after all. News from the EDGE: [00:03:22] WordPress Unpauses Development - but is it out of time? [00:08:05] Google Discover on Desktop [00:12:53] AI is Making a Major Impact on Email Marketing [00:16:57]  Title Sponsor: Site Strategics SEO News from the EDGE: [00:20:01] The Great Decoupling Of Google Search [00:26:06] AI Overviews Research: How Google's AI Answers Vary Across Five States [00:32:07] AI and Local Search: The New Rules of Visibility [00:37:49] Sponsor: WAIKAY from InLinks [00:40:33] Google Search Console to Show AI Mode Performance [00:46:01] Is SEO Still Relevant In the AI Era? Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site Inlinks https://edgeofthewebradio.com/waikay Follow Us: X: @ErinSparks X: @Suzzicks X: @TheMann00 X: @EDGEWebRadio

Are you paying for SEO but not seeing results? Patrick, CGN's in-house SEO specialist, joins us to expose the truth behind SEO strategies that don't work—and how to tell if your current SEO investment is really paying off. We break down how to measure SEO performance the right way, what bad SEO looks like, and the key tools every contractor should have access to. Key Takeaways: - The 3 (actually 4) pillars of SEO: Technical, Content, Off-Page, and Local SEO - What SEO ROI really means and how to calculate it - How to set SEO goals that align with business growth - Red flags that your SEO company is doing nothing - Why page 2 on Google might as well be invisible - The tools you must own: Google Analytics, Google Search Console, Google Business Profile - Why thin content and doorway pages waste your money - How to track keyword rankings and spot real improvement - The danger of relying on impressions and clicks alone Own your data. Know your rankings. And stop paying for SEO that doesn't work.  Visit ContractorGrowthNetwork.com to get an audit or speak with an expert.

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

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Google Search Engine Optimization (SEO) vs Pinterest Search Optimization (SEO) for Businesses focuses on the importance of search engine optimization (SEO) for businesses, contrasting Google SEO and Pinterest SEO. I emphasize that Google is used for high-intent searches (immediate answers), while Pinterest is used for planning and discovering interests. Both platforms are crucial and complementary for online business visibility and growth, citing examples of successful implementation. Additionally, this discussion touches on the rise of AI in search and new concepts like "Agentic SEO" and "LLMs.TXT", highlighting the need for businesses to adapt their strategies to remain searchable and relevant. I also address the practical aspects of connecting websites to platforms like Google Search Console and Pinterest, and encourages consistency and tenacity in marketing efforts.Frequently Asked QuestionsGoogle SEO vs Pinterest SEO: Key Difference?Google SEO targets users with high intent seeking immediate solutions. Pinterest SEO engages users in discovery mode, planning or browsing visual ideas. Both require distinct strategies based on user mindset.Why Use Both Google and Pinterest for Business GrowthGoogle drives high-intent search traffic. Pinterest captures visual planners and explorers. Together, they expand reach, tap into different user intents, and boost website traffic.What is Agentic SEO?Agentic SEO means creating valuable content that AI search engines like ChatGPT can cite. This boosts authority, improves visibility, and helps your site become a trusted source in AI-driven results.Why Connect Your Site to Google Search Console and BingGoogle Search Console and Bing Webmaster Tools help you verify site ownership, control indexing, and access search performance data. Connecting ensures your site is visible and properly managed on search engines.More Resources ⬇️>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our club community for exclusive information

This week we covered the ongoing Google Search ranking volatility. I posted the big Google webmaster report for May. Google admitted in a deposition that it used its search data for Gemini AI. Google Search Console leaked that it was showing desktop data...

John breaks down five powerful ways to use Google Search Console to transform your SEO strategy. From uncovering high-intent search queries to improving click-through rates and measuring true search visibility, this episode offers practical insights that go far beyond rankings. If you're ready to turn SEO data into real business results, this episode is a must-listen. Today we discussed: 00:00 Opening 00:09 SEO is Not Dead 02:53 Intent and Content Opportunities 05:12 Local and Branded Visibility Signals 05:53 Measuring Trust and Visibility 07:05 Fixing Technical Problems 08:06 Guiding AI Content Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

Ever wondered how to get your flower farm to show up on the first page of Google? In this episode, Jenny chats with SEO consultant Julia from Homegrown Reach, who specializes in helping agriculture and horticulture businesses boost their visibility online. They break down what SEO (search engine optimization) actually is, why it matters for local flower farmers, and the small but mighty changes you can make to help your customers find you organically—without paying for ads. Julia shares beginner-friendly tips like how to structure your website, why having clear location info matters, how to use keywords effectively, and why tools like Google Business Profile, Google Analytics, and Google Search Console are total game-changers. Whether you're brand new to SEO or just looking to refine your site, this episode is full of approachable advice and real-life examples specific to the flower farming world. Want your flower farm to be found by more local customers? This episode is your roadmap to making sure your farm stands out online.Find Julia from Homegrown Reach online: Website: https://www.homegrownreach.com Instagram: @homegrownreach Resources for Creative Entrepreneurs: Julia Renee Consulting Did you enjoy this episode? Please leave a review on Apple or Spotify. Follow Jenny on Instagram: @trademarkfarmer Find free flower business resources: www.trademarkfarmer.com

John dives deep into the evolving landscape of SEO in this solo episode. He breaks down what today's marketers need to know about zero-click searches, AI content, Google Search Console, and how to build search strategies that actually drive conversions. Whether you're a local business owner or a digital agency, this episode delivers a fresh SEO playbook packed with actionable insights to boost visibility, authority, and high-intent traffic. Don't miss this essential update on what really works in SEO today. Today we discussed: [00:00] Opening [00:09] Introduction [01:52] Search Presence and Visibility [04:10] Embracing AI for Content [05:59] Local Search Isn't Going Anywhere [08:29] Prioritize Intent Based SEO [11:06] Link Building [13:58] Long Tail Queries Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

In this can't-miss episode of the Simple and Smart SEO Show, Crystal Waddell reconnects with digital strategist and SEO pro Favour Obasi-ike. Whether you're podcasting on Wix, exploring RSS feeds, or wondering how to rank better using voice search, this episode is full of insights you can apply today to stay ahead tomorrow.

Send us a textThe SEO landscape continues to evolve rapidly, with AI tools revolutionizing how professionals approach optimization strategies and workflow efficiency. Edd Dawson revisits his SEO tool stack from 18 months ago, highlighting the dramatic shift toward incorporating Large Language Models like ChatGPT and Claude into daily operations.• Comparison between current tool usage and tools mentioned 18 months ago• Large Language Models now essential for research, coding assistance, and strategy planning• Google Search Console data increasingly vital for identifying content gaps• Keywords People Use platform integrates with GSC to provide enhanced data insights• N8n.com workflow automation tool creates efficiencies when combined with AI• Explanation for why traditional SEO tools like Ahrefs and SEMrush aren't necessary for Edd's approach• Focus on using tools that align with a philosophy that SEO fundamentals matter more than complex toolsetsSEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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/

Send us a textEdd Dawson reveals how to use Google Search Console's Crawl Stats Report to monitor website health and optimize crawlability. This often-overlooked tool provides essential insights into how Google interacts with your site, helping you detect issues before they become major problems.• Access the Crawl Stats Report via Settings in Google Search Console• Monitor total crawl requests, response time, download size, and crawl errors• Regular review helps detect issues before they impact search performance• Server response time influences how frequently Google crawls your site• Fixing 404 and server errors promptly prevents indexing problems• Large sites can use this data to optimize crawl budget allocation• Look for changes in crawl patterns after major website updates• Server performance insights help identify needed speed optimizationsRate and review the podcast at ratethispodcast.com/seo to help us reach more people. Try our SEO intelligence platform at keywordspeopleuse.com to discover questions people ask online and optimize your content to build traffic and authority.SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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/

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.

The importance of understanding user behavior on business websites using tools like heat mapping, specifically highlighting the free platform Microsoft Clarity, is vital for high conversion rates.The conversation emphasizes how analyzing clicks, scrolls, and attention on web pages can reveal valuable insights for optimizing content and improving user experience. We also touch upon the significance of SEO tools, mentioning SEO Gets as a more comprehensive alternative to Google Search Console for deeper data analysis. Ultimately, the discussion underscores the need for businesses to actively analyze website data to enhance engagement and conversions.Frequently Asked Questions: Optimizing Your Website for Growth1. Why is simply having a website and creating more content often not enough for business growth?While a website provides a presence and content aims to attract visitors, merely having them doesn't guarantee engagement or conversion. Businesses need to ensure their content is optimized for the right audiences and that website visitors can easily find what they need and take desired actions. Without understanding user behavior, efforts can be misdirected, leading to wasted resources and missed opportunities to connect with potential customers effectively.2. What is website heat mapping and how can it benefit my business?Website heat mapping is a technique that visually represents user interaction on your website pages. It shows where users click, how far they scroll, where they spend the most time (attention), and general areas of engagement. By understanding these behaviors, businesses can gain valuable insights into what content resonates with visitors, identify areas of confusion or friction, and optimize their website for better user experience, engagement, and ultimately, conversions.3. What are the key metrics or sections to focus on within a website heat map tool like Microsoft Clarity?Microsoft Clarity, a free heat mapping tool, typically provides insights through four main sections: * Clicks: Shows where users are clicking on your pages, indicating what elements they find interesting or interactive. * Scroll: Reveals how far down users are scrolling on your pages, helping you understand if they are seeing your key content and calls to action. * Attention: Highlights the areas of your pages where users spend the most time with their mouse movements, indicating what content captures their interest. * Area: Aggregates user interactions within specific zones of your webpage, providing a broader view of engagement. Analyzing these sections can help pinpoint popular content, identify drop-off points, and understand user navigation patterns.Hope you enjoy this episode today we went deep into this topic.⁠⁠⁠⁠⁠⁠>> START YOUR 14-DAY FREE TRIAL WITH FLODESK FOR BETTER EMAIL MARKETING TODAY

Ask Me Your SEO Questions!A very quick, teeny intro episode to Google Search Console errors and what you need to look for and what you can ignore! Everyone gets overwhelmed when it comes to learning SEO, but growing your organic traffic and business doesn't have to be scary! Break it down and focus on the SEO tips that actually matter! Grow your business with SEO by using the exact strategy I use with multimillion dollar companies: The Complete Beginner's SEO Course Is Here Enroll Here!Head to www.theplansuccess.com where you can get started on your SEO journey for free with some great free resources like the beginner's small business starter guide!And if you're not already, follow me over on Instagram for easy SEO tips!Website: theplansuccess.comInstagram - @theplansuccess

Es gibt Keywords, die hat niemand auf dem Schirm. Das Suchvolumen ist wirklich sehr gering. Oft fallen sie in der Keyword-Recherche durchs Raster. Aber in der Google Search Console sieht man: Diese Hyper Longtail Keywords bringen richtig viel SEO Traffic. Vor allem im Vergleich zum Suchvolumen, das so mickrig erscheint. Wie kannst du solche Keywords aufspüren? Darüber sprechen wir in dieser Podcast-Episode. 📈 Mehr Charts und Analysen zur Episode 🎓 SEO Online Training 👋 Fabian auf LinkedIn 👋 Benjamin auf LinkedIn

Welcome back to another Follow Through Friday on the Simple and Smart SEO Show!

Another week and more Google search ranking volatility hit mid-week, did you notice? Google's crawler might be causing issues on your site this week. Google still is making its crawling more efficient and better. Google Search Console's API had delayed this week. Google was sued over AI Overviews...

Send us a textLink to get a FREE 7 day trial so you can experiment with these new features: https://keywordspeopleuse.com/content-optimization-toolThis episode explores the transformative potential of search analytics and content optimization through new features in Keywords People Use. Listeners gain insights into how to leverage data from Google Search Console for content improvement and enhanced online visibility. • Introduction of search analytics feature for deeper insights • Enhanced interface for easier data navigation • Increased data capacity from Google Search Console • Focus on content optimization opportunities through crawls • Ability to track and revert content changes effectively • Call to action to explore the content optimization tool for free trialSEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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/

Send Everyday AI and Jordan a text messageThe biggest AI update of 2025 just happened and you prolly had no clue. This isn't a new model. It's not even technically a new feature. It's all about access. And now tens of millions of ChatGPT Plus users will have access to OpenAI's Deep Research. (Including some of the new bells and whistles they JUST released) Join us as we tell you how to take advantage. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan questions on OpenAIUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Accessibility of OpenAI's Deep Research2. Deep Research Capabilities and Features3. Use Cases for OpenAI's Deep ResearchTimestamps:00:00 OpenAI Introduces Free Voice Mode08:40 "ChatGPT Plan Enhancements"14:48 Optimizing Website Traffic Strategies20:04 AI Research Tool Revolution22:37 "OpenAI Deep Research Revolutionizes Time"28:14 Dual Model Framework in Research32:58 AI Content Strategy for 202537:24 Optimize Deep Research Workflow44:31 Shift from Forbes to Sloan MIT53:06 Deep Research: Beyond a Better Google57:55 "AI Tools Empower Small Podcast Team"01:01:52 Optimizing Episode Planning with AI01:06:50 Limited Searches, Exclusive Consultation OfferKeywords:AI updates, OpenAI, deep research, chat GPT plus, AI tool, ChatGPT plan, pro plan, new features, AI infrastructure, Meta data center, Microsoft Copilot, advanced AI, reasoning tools, Meta CEO Mark Zuckerberg, Apple AI investment, free AI access, advanced voice mode, GPT four o, reasoning model, SEO strategy, Google Search Console, content optimization, AI trends 2025, operator agent, large language model, Python integration, dual model architecture, semantic search, personalized AI assistant, generative AI Ready for ROI on GenAI? Go to youreverydayai.com/partner

Send us a textUnlock the secrets to elevating your SEO game with our special guest, Matt Tomkin from Tao Digital Marketing. Matt brings invaluable insights into transforming your website into an organic lead generation powerhouse. Learn how a law firm turned a niche topic into an evergreen source of quality leads, demonstrating the power of content hubs. We discuss the synergy between link building and topical authority, and how effective content can sometimes rival even the most high-end link acquisition strategies. Plus, we explore the potential of AI in SEO, examining how machine learning can streamline data analysis while emphasizing the irreplaceable value of human creativity.Navigate the challenges of competitive industries by understanding the art of keyword targeting. Together with Matt, we uncover strategies for identifying effective SEO keywords, both online and offline, to tailor your approach for maximum impact. Discover the importance of targeting long-tail keywords with low competition to incrementally build topical authority, especially beneficial for those with tighter budgets. We highlight tools like Google Search Console and Google Ads, showing how they can refine your strategies and boost visibility while helping you start small and aim big.Unlock the full potential of your content with strategic content hubs designed to drive conversions. Explore the concepts of pillar and sub-page structures, crucial for enhancing contextual link authority. Matt shares insights on how this approach can address various user searches and guide them towards core service pages, using tracking pixels and remarketing techniques to maintain engagement. From high-investment services to the transformative impact of AI, this episode equips you with the knowledge to optimize your SEO efforts and dominate your niche. Join us for an enlightening conversation packed with actionable strategies and expert advice.Find Matt on Linkedin - https://www.linkedin.com/in/matt-tomkin/Visit Tao Digital - https://taodigitalmarketing.com/SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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/

Send us a textSee the work in progress: https://docs.google.com/document/d/1u-L6JjxG3OsVzjL9xxU8qNPYGbtmqNDLplugN4dzJkY/edit?usp=sharingUnlock the secrets of SEO growth and elevate your online presence with the GROWTH framework, where mastering user intent is key. Join me, Edd Dawson, as we explore the first critical step: "Gather." You'll discover how mining the questions users ask online, from platforms like Google's People Also Ask, Reddit, and Quora, can skyrocket your content's relevance and authority. Learn how to build an expansive keyword list that lays the groundwork for a powerful SEO strategy, regardless of your experience level in digital marketing. Dive deeper into the art of crafting content that aligns with audience needs while ensuring sustained engagement and trust. I'll guide you through the nuances of question mining and share insights from my two decades of experience in SEO. Plus, find out how the Keywords People Use platform can revolutionize your keyword strategy by leveraging Google Search Console data. Connect with me on LinkedIn and Blue Sky for personalized advice and consulting opportunities, and stay tuned for our continued exploration of the GROWTH framework in the upcoming episodes.SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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 this episode of the Medical Aesthetics Marketing Show, hosted by Pam (the Aesthetics Junkie), digital marketing strategies specifically focusing on Search Engine Optimization (SEO) for medical aesthetic practices are discussed. The guest, David Kaminski, a local SEO expert, delves into key topics such as the importance of 'near me' search terms, leveraging Google Maps, optimizing Google My Business profiles, and creating effective blog content. David provides actionable tips for increasing visibility on Google through strategic use of blog posts, geotagged images, and linking strategies. He also highlights essential tools like Google Search Console and SEMrush for keyword research and tracking progress. The episode aims to help medical aesthetic practitioners improve their online presence, attract more leads, and ultimately grow their business.00:00 Introduction to the Medical Aesthetics Marketing Show00:05 Understanding SEO and 'Near Me' Search Terms00:55 Welcome David Kaminski: Local SEO Expert01:38 The Importance of Google Maps for Local SEO02:55 Maximizing Google Business Profile Activity08:00 The Role of Google Reviews in SEO09:40 Tracking Local Pack Performance10:20 Introduction to Google Search Console12:01 Effective SEO Strategies for Your Website19:14 The Ultimate Goal: Stop Paying Google for Ads19:32 Effective Use of FAQs on Your Website20:03 The Power of Industry-Specific Backlinks23:43 Creating Consistent and Quality Content26:06 Optimizing Your Website for Local SEO28:23 Researching and Targeting Easy Keywords31:53 Leveraging AI Tools for SEO33:30 Common SEO Mistakes and Easy Fixes35:50 Conclusion and Final ThoughtsShow Notes available at http://theaestheticsjunkie.com/daveFind Dave online: LinkedIn - https://www.linkedin.com/in/davekaminski/Instagram - https://www.instagram.com/transactional.healthWebsite - https://transactionalhealth.comFollow us on Instagram: Instagram.com/theaestheticjunkieAll Podcasts & Resources: https://www.theaestheticsjunkie.com/medical-spa-marketing-show-podcast/

In this episode of The Simple and Smart SEO Show, host Crystal Waddell sits down with Katie Stone, SEO Lead at LeadHub, to discuss local SEO strategies, keyword research, and essential SEO tools. Katie shares her insights from Brighton SEO, her journey in the industry, and practical tips for leveraging Google Search Console, Screaming Frog, and keyword gap analysis to gain a competitive edge.Key Takeaways:Google Search Console can be a free and powerful tool for uncovering content ideas and improving topical authority.Hyperlocal SEO is critical for small businesses, focusing on local pain points and industry-specific challenges.Keyword gap analysis helps identify content opportunities and outrank competitors.Competitor research is key—using tools like SEMrush, Ahrefs, and DragonMetrics to analyze backlinks and search visibility.SEO tools with AI integrations need improvement, but Screaming Frog's AI and Lighthouse integrations offer actionable insights.Zero-click searches are reshaping SEO metrics—impressions and visibility will play a bigger role in future rankings.Memorable Quotes:

This episode by Favour Obasi-ike, MBA, MS discusses measuring the return on investment (ROI) of search engine optimization (SEO) efforts. I emphasize the importance of consistent content creation, highlighting on-page, off-page, and technical SEO factors. Effective email marketing is presented as a crucial complement to SEO for driving leads and sales. I provide real-world examples and suggests using analytics tools to track progress and optimize strategies. Ultimately, the focus is on connecting with the target audience through valuable content and targeted marketing. FAQ: Measuring ROI of SEO Efforts What is ROI in the context of SEO, and why is it important to measure? ROI (Return on Investment) in SEO refers to the measure of how much benefit (usually profit or value) you gain from the resources you invest in search engine optimization. Measuring ROI is critical to understand if your SEO efforts are effective, whether your investment of time and money is yielding results, and where adjustments need to be made. Without measuring ROI, you're essentially doing SEO "for the sake of doing it" and potentially wasting resources without reaching your business goals. How does consistent content creation influence SEO ROI, and what should be considered when producing content? Consistent content creation is essential for long-term SEO success and ROI. The more pages and valuable information you publish, the more chances you have to appear in search results. When producing content, you should consider both the user and search engine needs. Content should be relevant, address user queries, be presented engagingly (e.g. with statistics, infographics, videos), and consider when your audience is most likely to be receptive to it (e.g., time of day). The quantity and quality of content directly impact your ability to reach your target audience. What other tools can help with understanding user behavior and how can they be used to improve SEO ROI? Several tools can aid in understanding user behavior and optimizing your site's performance, contributing to better ROI. Some key tools include: Google Search Console to monitor your site's performance in Google search, Google Analytics to analyze traffic and user behavior on your website, other analytics platforms like Matomo Analytics, heat maps like Crazy Egg to see where users click and scroll on your pages and Google Lighthouse to evaluate site speed. Using data from these tools allows you to find underperforming content, track how users interact with your website, and make informed improvements to enhance both user experience and SEO ranking. When starting SEO efforts from scratch, what's a practical way to begin measuring and optimizing? When beginning SEO from scratch, start by identifying the keywords that people are using for your content or service. Then create content that specifically answers those questions. Go beyond flat answers by including statistics, infographics, videos, FAQs, and case studies. Then take note of how much content you created last year, compared to this year. With more content you will attract more traffic. With more traffic, you can see how people are finding your site, where they are clicking and how they are using the page, and use this data to optimize for long term growth. Connect with me

Send us a textSee the work in progress document at: https://docs.google.com/document/d/1q0d_puFnMSwElNwaxo70uMwOM34dONKJcxE6q_JwyeE/edit?usp=sharingAll comments and critiques more than welcome! Details in that doc for how to get in touch.Imagine having your online business hit rock bottom overnight, only to rise like a phoenix five times stronger. That's exactly what happened to me when the infamous Google Penguin update dismantled my broadband price comparison site back in 2012. From the ashes of this digital disaster emerged a revolutionary growth framework that turned the tide, leading not only to the recovery of my site but also to its eventual sale. During this episode, I walk you through the transformative steps that took me from outdated link-buying tactics to a strategy centered around creating meaningful content that speaks directly to people. This powerful shift not only saved my business but also gave birth to a framework that's been applied with success across various platforms.Join me as I share the secrets of crafting a content creation strategy that prioritizes real users over bots, and learn why feedback became my secret weapon in refining this approach. This framework isn't just for the SEO-savvy—it's designed to be accessible to anyone eager to boost their online visibility. We discuss the utility of tools like Keywords People Use and delve into the importance of Google Search Console in optimizing your content's performance. But that's not all—this episode is an invitation to engage directly. Record your voice questions and connect with me on LinkedIn and Blue Sky to keep the conversation going. Whether you're a seasoned webmaster or a curious newcomer, there's invaluable insight here to help drive your traffic growth.SEO Is Not That Hard is hosted by Edd Dawson and brought to you by KeywordsPeopleUse.com Help feed the algorithm and leave a review at ratethispodcast.com/seo You 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 and get a 7 day FREE trial of our Standard Plan book a demo 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 Linkedin, Bluesky & TwitterFind 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 this episode, I welcome my friend, Emily Foster of Emily Foster Creative to discuss how wedding professionals can optimize their websites during engagement season. Emily shares expert insights on branding, website design, and SEO strategies that help businesses attract ideal clients and stand out from competitors. From updating your homepage to tracking analytics and refining your calls to action, Emily provides actionable steps for making your website work harder for you. Emily and I discuss why fresh, updated content is crucial during engagement season and how often wedding professionals should update their portfolios and service pages. She explains the most impactful website updates for those with limited time and highlights the importance of strategic calls to action, ensuring your website converts visitors into inquiries and also differentiating your brand from competitors in a crowded market, the signs that indicate it might be time for a rebrand, and how wedding pros can make data-driven decisions using website analytics. Emily mentions tools like Google Analytics and Google Search Console to monitor website performance and understand traffic sources. She emphasizes that branding is a long-term strategy in client acquisition and shares valuable strategies for ensuring that websites drive conversions during this competitive time of year. She also explains why having an optimized website is essential for growing a successful wedding business and how search engine optimization plays a significant role in reaching ideal clients. If you found this episode helpful, please subscribe, rate, and review. Share it with fellow wedding professionals who are looking to refine their brand and website presence. By implementing these strategies, you can ensure your website works efficiently during engagement season and beyond, ultimately attracting more clients and growing your wedding business. Follow the Host, Nina Addeo:  Website: https://www.idoweddingmarketing.com/ Instagram: https://www.instagram.com/idoweddingmarketing/ Email: hello@idoweddingmarketing.com Follow Emily Foster:  Website: https://emilyfostercreative.com/ Instagram: https://www.instagram.com/emilyfostercreative/ Email: hello@emilyfostercreative.com

Unlock the secret to ethically boosting your online presence with expert guidance from Dr. Kate Walker and Jennifer Marie Fairchild. This episode is your roadmap to mastering SEO strategies tailored for counselors, ensuring that you can ethically grow your practice without compromising your professional integrity. Discover practical tactics to enhance your website's visibility using tools like Google Search Console and learn how to attract the right clients by harnessing the power of relevant keywords.Join us as we reveal the importance of ethical advertising in counseling, as outlined by the Texas Behavioral Health Executive Council and the American Counseling Association (ACA) Code of Ethics. Dr. Walker and Jennifer Fairchild delve into the complexities of state regulations, comparing mandates from Texas and New Hampshire, and discuss how to maintain transparency and verifiability in your public communications. Explore strategies to ensure HIPAA compliance and the responsible use of client testimonials to maintain an ethical online presence.Whether you're an LPC associate navigating the digital landscape or an experienced counselor refining your online strategy, this episode is packed with insights on balancing ethical standards with effective marketing practices. We explore the nuances of social media use, the ethical considerations of client interaction, and how to optimize your content for search engines while keeping accessibility at the forefront. Tune in to elevate your counseling services and reach greater heights of success in your practice.Get your step by step guide to private practice. Because you are too important to lose to not knowing the rules, going broke, burning out, and giving up. #counselorsdontquit.

Technology, while great in many ways, can quickly turn into a nightmare when things go south. As someone who's recently weathered a tech storm (listen to Episode 84 for all the details!), Heather understands the frustrations and helplessness that accompany such challenges. In this follow-up episode, she gives an update on the recent website crash that occurred during an important launch. She recounts the steps taken to fix the issue, including utilizing Google Search Console and seeking help from tech expert, iMark Interactive. Despite the frustration and repeated setbacks, Heather emphasizes her commitment to her business and shares plans for future improvements. Listen to Part 1: Managing an Unexpected Tech Crisis as a Small Business OwnerNeed tech assistance?Connect with Grayson at iMark Interactive: imarkinteractive.comKey Takeaways:(2:30) The unexpected tech crisis(05:00) The second breakdown and resolution(08:30) Future plans; switching to a new domain(10:15) Helpful tools for tech issues; YouTubeDon't forget to grab the FREE Teacher Biz Starter Guide! teacherbiz.com/StartConnect With Heather:teacherbiz.com/aboutinstagram.com/teacherbiz

Are you leveraging the full power of SEO in your PR strategy, or are you leaving potential untapped? In this episode, Whitney sits down with Jade Pruett to uncover the vital connection between SEO and PR—a must-know for any modern marketer. Together, they break down the challenges PR professionals face in navigating SEO and share actionable strategies to bridge the gap.

Calling out the inflated numbers SEO tools like Ahrefs and SEMrush love to spit out—and why it's leading agencies and clients astray. The truth? Google Search Console is where you get the real story on your site's performance. But here's the kicker: SEO itself is shifting, thanks to AI-generated content and a flood of ads, much like how email marketing took a nosedive years ago.The takeaway? Relying too hard on just one channel is playing with fire. Here's what to do right now ☝️KEY NOTES:00:00 - Introduction to Marketing and SEO Tools02:48 - Google Search Console as a Reliable Source04:37 - Impact of AI on SEO07:05 - Comparison to Email Marketing07:55 - The Shrinking SEO PieSupport the show

We continue our EDGE Tool Series with Ryan Jones, Marketing at SEOTesting.com. This is a fantastic tool for A/B testing for your SEO efforts. We discuss Ryan's nearly decade-long tenure in digital marketing and his journey from apprenticeship to SEO expert. From embedding YouTube videos to boost blog traffic to meticulously controlled SEO experiments, Ryan shares strategies that have seen dramatic successes—and some surprising setbacks. Ryan underscores the value of using Google Search Console data to annotate changes and validate SEO modifications. Discover the significance of establishing a traffic baseline to effectively measure the impact of your tests and the balance needed between SEO, CRO (Conversion Rate Optimization), and user experience for optimal site performance. Plus, learn why split testing is the gold standard and how to achieve statistical significance on low-traffic pages. Don't miss out as we drive home the science behind controlled SEO experiments and the crucial role of post-test analysis Key Segments: [00:03:48]  Introduction to Ryan Jones [00:09:42] How does SEO Testing Differ from Traditional SEO Practices? [00:10:36]  SEO Testing Has Evolved [00:11:35]  The Scientific Methodology of SEO Testing [00:12:39]  Key Elements of a Controlled SEO Experiment [00:15:06] EDGE of the Web Title Sponsor: Site Strategics [00:17:52] Mitigation External Factors in SEO Testing [00:19:23]  How to Determine Appropriate Duration of a Test [00:22:09]  Time-based and Split Testing are Key SEO Methods [00:25:24] EDGE of The Web Sponsor: Wix Studio [00:30:05]   Inventory of the Site Being Tested: The Fingerprint [00:35:01]  Offer for our EDGE Listeners Thanks to Our Sponsors! Site Strategics: http://edgeofthewebradio.com/site Wix: http://edgeofthewebradio.com/wixstudio Follow Our Guest Twitter: https://x.com/ryanjonesseo  LinkedIn: https://www.linkedin.com/in/ryan-g-jones/  YouTube: https://www.youtube.com/channel/UCIpsmfzYkmDF_zOXtHDyqpQ Resources Get your Free 14-Day Trial

In this episode of Private Practice Elevation, Daniel dives into the world of search engine optimization (SEO). He explains how therapists in private practice can perform a basic SEO assessment of their websites.  SEO can feel like a moving target, especially with the constant changes in Google's algorithm, but understanding the basics can make a big difference in your online visibility. For private practice owners, having a strong online presence is essential to attracting the right clients. However, navigating SEO often feels overwhelming.  That's why this episode is packed with practical tips to help therapists assess their current SEO strategies and identify opportunities for improvement.  From understanding key metrics in Google Analytics to optimizing Google Business Profiles for local search, Daniel covers the essentials to help you elevate your online presence and grow your practice. Why Perform An SEO Assessment? Many therapists struggle to understand why their website isn't generating enough leads or why they aren't ranking higher in Google searches. Daniel emphasizes that an effective SEO strategy starts with understanding where your website stands today.  By assessing your current performance, you can create a clear path toward improving your rankings, driving more traffic, and ultimately attracting more of the clients you want to work with. Episode Highlights 0:01 – Boosting Private Practice Growth Through Effective SEO Strategies Daniel begins by discussing how SEO is a powerful tool for growing your practice and why it's worth the investment. 3:35 – Join Our SEO Basecamp Live Training Group for Private Practices Learn about a new training program designed specifically to help therapists gain a deeper understanding of SEO. 7:49 – Understanding SEO Baselines and the Importance of Google Analytics Daniel explains the importance of setting a baseline for your SEO performance and tracking critical metrics like website traffic and bounce rates. 10:41 – Essential Tools and Strategies for Effective SEO Management Discover some of the must-have tools, including Google Search Console and Ubersuggest, to assess and manage your website's SEO. 16:18 – Mastering SEO: From Technical Aspects to Content Strategy A step-by-step guide to addressing technical SEO, from fixing broken links to improving website speed. 22:27 – Optimizing Website Content and Structure for Better SEO Tips for improving your site's navigation and creating service-specific content that resonates with potential clients. 26:29 – Optimizing Google Business Profiles for Enhanced Local SEO Daniel shares actionable advice on improving local SEO by enhancing your Google Business Profile and collecting reviews. 29:43 – Elevate Your Practice With SEO Strategies and Alma Support Wrapping up with how Alma, an SEO agency, can support therapists in taking their SEO to the next level. Key Takeaways SEO Assessments are Crucial: Regular assessments reveal your website's strengths and areas for growth, setting the stage for improvement. Optimization Tools are the Foundation: Tools like Google Analytics, Google Search Console, and Ubersuggest provide invaluable data for guiding your strategy. Four Mountains of SEO: Daniel highlights technical SEO, on-site optimization, content creation, and off-site strategies as essential pillars. Content is King: Quality, client-centered content positions your site as a trustworthy resource and boosts rankings. Local SEO is Key for Growth: Optimizing your Google Business Profile and gathering reviews can drastically improve your visibility in local searches.

In episode 633, Megan chats to Joe Rodichok about achieving website success in 2025, covering practical strategies for making GA4 analytics more accessible, enhancing technical SEO, and boosting site performance. Joe is the Co-Founder of Phynite Solutions with over 20 years in tech, including 15 years professionally in roles from engineer to Chief Technology Officer at start-ups and later with FAANG companies, solving complex challenges. I'm passionate about helping small business owners grow their websites through clear, straightforward support—something that's personal to me as the son of two small business owners. My goal is simple: to help you succeed with no BS, just honest solutions. In this episode, you'll learn about understanding GA4, how to simplify it with the tool Phynite Analytics, while also exploring strategies for monitoring core web vitals to enhance SEO and the impact of AI content scrapers. Key points discussed include: - Understand GA4's focus on ad spenders: Google's restructuring of Google Analytics is aimed at generating revenue from ad-spending customers, which impacts the data and functionality available to free users. - Leverage Phynite Analytics for simplified data access: Phynite Analytics curates your Google Analytics data in a user-friendly way, providing easy access to the metrics and insights that matter most to food bloggers. - Integrate Pinterest analytics for a holistic view: Phynite Analytics integrates with Pinterest's API to provide insights into your Pinterest performance, helping you optimize your content for that platform. - Monitor core web vitals to improve SEO: Staying on top of your website's core web vitals is crucial for maintaining good search engine rankings, and tools like Google Search Console can help you identify and address any issues. - Understand the impact of AI content scrapers: Be aware of the potential threat of AI-powered bots that may be scraping your content, and use tools like Cloudflare to manage and protect your site. - Optimize site speed with properly sized images: Ensuring your images are properly sized can have a significant impact on your website's performance and core web vital scores. - Take control of your online presence: Don't blindly follow advice or accept the status quo; instead, question and understand the strategies and tools you use to grow your food blog. - Diversify your traffic sources: Relying solely on Google for traffic can be risky, so explore and invest in other platforms, such as Pinterest, to build a more resilient and sustainable online presence. - Persevere through challenges: Even the most successful food bloggers face ups and downs, but with determination and a willingness to adapt, you can overcome obstacles and see your hard work pay off. Connect with Joe Rodichok Website | Instagram

Welcome to the NEW! Google Shopping experience where I am emphasizing on the importance of a well-structured e-commerce website for successful Google Shopping optimization, highlighting the free Google Merchant Center tool. This discussion includes SEO strategies,  product listing optimization, and the benefits of building a strong online presence to increase brand visibility and sales. I also featured audience participation and questions regarding podcast website strategies. Frequently Asked Questions: Google Shopping & E-commerce SEO 1. What is Google Shopping and why is it important for businesses? Google Shopping is a feature within Google's search engine that allows users to search for and compare products from various online retailers. It's crucial for businesses because it provides a direct channel for product discovery, allowing your products to be seen by people who are actively searching for what you offer. It's an incredibly important channel given that there are billions of searches per day. Getting your product listed on Google Shopping gives your business visibility to a huge potential customer base. 2. How do products end up on Google Shopping? Products displayed on Google Shopping originate from e-commerce websites. To be listed, your website needs to have e-commerce functionality and proper product structuring. This involves having product pages with detailed information, proper product tagging, and structured data (schema) including price, description, color, and size. This data is then linked to your website through your sitemaps, ensuring Google can find the product information it needs. 3. Is Google Shopping free to use for businesses? Yes, Google Merchant Center is a free tool that enables businesses to list their products on Google Shopping. You need a Google account to open a Merchant Center account and provide the information Google needs to show your products. While there are options for paid advertising on Google Shopping to improve visibility, the core listing of products on the platform is free. 4. What is the Google Merchant Center and why do I need it? The Google Merchant Center is where you manage how your product listings appear on Google Shopping. It allows you to upload product feeds, which are essentially spreadsheets of all of your products with necessary details that Google requires such as titles, descriptions, and product availability, and shipping information. It also allows you to create a product sitemap for submission to Google Search Console. This is crucial for ensuring your products are accurately displayed and discoverable within Google Shopping. 5. How can businesses optimize their listings on Google Shopping for better visibility? Optimizing your listings for better visibility involves a multi-faceted approach. It includes: * Ensuring detailed product descriptions with all relevant attributes (color, size, etc.) * Using high-quality product images * Managing customer reviews and ratings to improve user trust * Competitive pricing that matches market standards * Leveraging product labels, price points and other filters * Using internal and external linking strategy to increase authority * Writing blog posts and article content that creates opportunities to connect your brand with customer needs through product use cases. Enjoy this episode and happy Google Shopping! Quick Links

The importance of high-quality SEO content and strategic linking for local businesses,  highlighting the shift from link-building quantity to content authority. Jon Muranko also shares practical tips for businesses of all sizes, including content creation, internal linking, and utilizing tools like Google Search Console. Finally, he stresses the need for a comprehensive strategy and advises leveraging platforms like YouTube for increased visibility. Visit the Marketing by Permission website here > Frequently Asked Questions (FAQ) How did you get started in SEO, and what was your initial focus? I initially got into marketing through referral and network marketing, which sparked my passion for helping people and crafting compelling messages. In 2000, I got into email marketing and in 2003 attended an SEO/digital marketing conference, coinciding with the rise of Google. This led me to take an SEO course which I then implemented, experiencing quick wins, which hooked me. I shifted my focus from email marketing to SEO to assist local businesses that had websites but were not ranking in Google search results. What significant changes have you observed in SEO since 2003, regarding both business owners and consumers? In 2003, SEO was heavily focused on backlinks. The quantity of links mattered more than the quality. However, the field has evolved dramatically. Now, having high-quality content and authoritative links is far more important. Google has evolved to penalize low-quality link building and instead emphasizes content that is original, authoritative, trustworthy, and solves user queries (EAT). Businesses need to focus on good, foundational content, targeted linking and using tools effectively. Consumers are better served by search engines that prioritize the quality, expertise, and trustworthiness of content. What's a key strategy for improving SEO in today's landscape? A key strategy today involves having a solid content foundation on your website, including blog posts, page content, video content, and FAQs. The content should address user needs and be authoritative. Many business owners seek automation and immediate results. What's the key to succeeding with SEO in the long run instead of chasing a "championship" win? Having a clear SEO strategy is essential. SEO is not a one-time effort. It's an ongoing process that requires consistent effort and adaptation. Businesses must have a plan for increasing visibility and a clear content strategy. The more content you can place on your website the more opportunities you have to get found. Internal linking is also critical for websites with over 50 pages of content. You must also consistently analyze data in the Google Search Console to identify opportunities. Businesses must avoid chaos by aligning their teams on a unified SEO strategy for 6-12 months. What actionable advice would you give to solopreneurs versus larger organizations regarding SEO? For solopreneurs, focus on creating high-quality, engaging content, including video content. For medium-sized teams or organizations, consider bringing in an outside consultant to evaluate your current strategies. For larger organizations, hire external consultants to assess their SEO strategy, and ensure their standard operating procedures (SOPs) are up-to-date and effective. Quick Links

Gabby Troxler, an independent SEO consultant, discusses the importance of internal linking in e-commerce with Tyson Stockton. Troxler emphasizes that internal linking can significantly improve page visibility and rankings, especially for new content. She recommends using tools like Screaming Frog and Google Search Console to identify linking opportunities and suggests focusing on linking products to other products rather than to blog posts. Troxler also advises conducting internal linking audits and ensuring that linking is part of the content publishing process. She highlights the importance of linking relevant content to enhance user experience and drive repeat customer engagement. Show NotesConnect With: Gabby Troxler: 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.

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

The staying power of SEO, experimenting with different SEO tactics, and how to create content that resonates with your audience. ----- Welcome to episode 492 of The Food Blogger Pro Podcast! This week on the podcast, Bjork interviews Stephan Spencer.  The Art of SEO with Stephan Spencer In this episode, Stephan Spencer, author of The Art of SEO, breaks down why SEO is still as important as ever, even with AI changing the search landscape. While AI may shift how we search, SEO remains the backbone of the internet. Stephan encourages listeners to stay focused on their SEO goals, keep investing in strategies that work, and adapt to the evolving world of search. You'll also hear Stephan talk about the power of experimentation. Don't be afraid to tweak things like title tags and test different tactics—whether it's a boost or a drop, tracking results is key and tools like Google Search Console, SEMRush, and Ahrefs can help you monitor performance and refine your strategy. Lastly, you'll learn about the importance of creating content that resonates with your audience—Google rewards authentic, helpful content, so the more personal and valuable your content is, the better it'll perform in search. Three episode takeaways: SEO Still Reigns Supreme: Despite the rise of AI, SEO isn't going anywhere. AI may change how we search, but SEO has been the backbone of the internet for decades. Keep investing in it, stay focused on your goals, and create your own reality in the world of search. Experiment and Track Results: Don't be afraid to experiment with SEO tactics (like changing title tags). You may see a boost—or a drop—but you can always course-correct. Stephan also talks about how you can use tools like Google Search Console, Analytics, Ahrefs, or SEMRush to track your results and optimize your strategy. Create Content That Connects: Focus on crafting comprehensive content that meets your audience's needs and expectations. Personal stories and experiences matter, too! Google's E-E-A-T metric rewards real, human experiences, so the more authentic and valuable your content, the better it'll perform. Resources: Stephan's website Stephan's podcast: Marketing Speak Episode 465 of the Marketing Speak podcast: Monetize Your Content with Bjork Ostrom Get Yourself Optimized (Stephan's new site!) The Art of SEO: Mastering Search Engine Optimization by Stephan Spencer The War of Art: Break Through the Blocks and Win Your Inner Creative Battles by Stephen Pressfield Claude Ahrefs SEM Rush Moz SEO Testing SearchPilot HeyGen Purple Cow: Transform Your Business by Being Remarkable All Day I Dream About Food The Coffee Chronicler: Ultimate Guide to Aeropress Join the Food Blogger Pro Podcast Facebook Group Thank you to our sponsors! This episode is sponsored by Yoast and Member Kitchens. Learn more about our sponsors at foodbloggerpro.com/sponsors. Interested in working with us too? Learn more about our sponsorship opportunities and how to get started here. If you have any comments, questions, or suggestions for interviews, be sure to email them to podcast@foodbloggerpro.com. Learn more about joining the Food Blogger Pro community at foodbloggerpro.com/membership.

Ori Zilbershtein joins the EDGE as a guest to go over the news this week. We crack open a number of Google News pieces from around the marketing space. Some quick takeaways: Make sure you use WhatsApp as a conversion in Google Ads—you better be there. We discuss the report on shifting trends in CTR per industry and how the data could be interpreted another way, i.e. AI Overviews viciously rearranging the landscape. Is OpenAI actually thinking about developing a browser now? They hired an ex-Google Chrome engineer, so maybe. All this plus some great takes from Ori as he returns to the show on the news side. News from the EDGE: [00:0 2:29] Google Introduces WhatsApp ‘Conversation Started' Conversion Tracking [00:05:10] Shifting Industry Trends Highlighted in Google Search CTR Data [00:11:17] EDGE of the Web Title Sponsor: Site Strategics [00:12:23] Google's now giving some insights into website performance Captain Obvious: [00:17:10] Google Updates Misleading Ad Design Policy For Deceptive Buttons In Ads AI News: [00:24:44] OpenAI Hires Former Chrome Engineer, Eyes Browser Battle [00:29:37] EDGE of the Web Sponsor: InLinks AI Tools: [00:30:40] Turn your blogs into stunning, shareable infographics, powered by AI Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site Inlinks https://edgeofthewebradio.com/inlinks Follow Us: X: @ErinSparks X: @OriZilbershtein  X: @TheMann00 X: @EDGEWebRadio

In this episode, we welcome marketing expert and official Google expert and trainer Maria Elena Duron, who shares invaluable insights into how bloggers and content creators can boost visibility and build audience trust using Google tools. https://creativesonfirepodcast.com/episode168 Key Points: Optimize with Google Tools to Build Trust Google puts extra trust in content creators who utilize its tools, like Google Analytics, Google Search Console, and Google Business Profile. Ensure consistency across these tools to increase Google's confidence in your content, improving your chances of appearing in top search results. Prioritize Content Quality and Reader Relevance Write for your audience by addressing their key questions and challenges. Use Google Search Console to see which keywords and questions are leading people to your blog, so you can create more content that truly resonates with readers. Speed and Security Matter A secure and fast-loading site (especially on mobile) is crucial; Google rewards these factors in search rankings. Consider using tools like Google Tag Manager to offload heavy plugins and improve site performance. Why It Matters: Building trust and focusing on relevant, valuable content creates a foundation for strong SEO and a loyal audience, increasing organic reach over time. Listen in and take your blogging visibility to the next level! New to blogging or looking for a refresh? Visit CreativesOnFirePodcast.com/start to get started. Remember, no one is you, and that's your superpower! Links and resources mentioned during this episode: 164 | The Achieve Conference 2024 Connect with Maria on Instagram @MarketingCoachMaria or LinkedIn, and visit her website, KLIbrand.com, for free webinars and community support. Free Guide: How to Start a Blog 2025 Content Planner is HERE! SUBSCRIBE AND REVIEW I am honored to share a new Blogging Creative on Fire each week on the podcast to bring you inspiration, behind-the-scenes secrets, and quality tips. I hope it is truly helpful for you. One of the best ways you can bless me in return is to subscribe to the show and leave a review. By subscribing, you allow each episode to be downloaded straight to your phone which helps the download numbers and ensures you never miss an episode. And when you leave a review, you help show others the value of what we provide! You can GO HERE to subscribe and review