This is Red Bull's secret to search engine optimization. This is it. This is the secret: viral events, viral stunts. They get so much press from this. So many backlinks. Red Bull has a domain authority of 93 out of 100. That's one lower than Forbes. It's the same as HubSpot. It's for crazy events like this. The top publications in the world write about Red Bull. Thank you for watching.

Red Bull's viral events and stunts as a mechanism for attracting press coverage and backlinks. The creator presents viral events and stunts as Red Bull's SEO mechanism for attracting press coverage and backlinks. Main topics: seo.


AI is so good now, specifically cloud, that I think for certain types of work, it's just unethical to do it without AI. Let me explain what I mean using an example from our SEO agency. A common task that any SEO will be familiar with is internal link optimization. An internal link is just any link from your website pointing to another page of your website, and it can have a huge difference on how you rank in Google. Throughout the years, there have been many tools that attempted to automate this process, but they've all effectively been garbage. Doing this well requires deep knowledge not just of SEO but of this specific client's website and their current rankings. Every time you link from one page to another page of your website, you pass some authority to that page. But if you add too many links, you dilute the value of each individual link. You only really want to link to a page if it's going to make a meaningful difference. The words you link from, or the anchor text, make a big difference in how that authority is passed through. It is not just about whether a link will make a difference to the page, but for what term it will make a difference. Not every link is treated equally. The more authority a page has, the more authority it can pass through with the link. Some links are global. If you put a link in the main navigation or footer, it is going to be on every page. Except Google doesn't treat links in the main navigation the same way it treats links in the footer. Mapping all of this out and doing it well for a large site is easily a week's worth of work...

AI is so good now, specifically cloud, that I think for certain types of work, it's just unethical to do it without AI. Let me explain what I mean using an example from our SEO agency.

A common task that any SEO will be familiar with is internal link optimization. An internal link is just any link from your website pointing to another page of your website, and it can have a huge difference on how you rank in Google. Throughout the years, there have been many tools that attempted to automate this process, but they've all effectively been garbage. Doing this well requires deep knowledge not just of SEO but of this specific client's website and their current rankings.

Every time you link from one page to another page of your website, you pass some authority to that page. But if you add too many links, you dilute the value of each individual link. You only really want to link to a page if it's going to make a meaningful difference. The words you link from, or the anchor text, make a big difference in how that authority is passed through. It is not just about whether a link will make a difference to the page, but for what term it will make a difference.

Not every link is treated equally. The more authority a page has, the more authority it can pass through with the link. Some links are global. If you put a link in the main navigation or footer, it is going to be on every page. Except Google doesn't treat links in the main navigation the same way it treats links in the footer. Mapping all of this out and doing it well for a large site is easily a week's worth of work.

We've been using AI to help with parts of this process for a while now. Yesterday I decided to finally sit down and redo the whole process because I knew Fable the exact process I wanted it to use. I spelled out in great detail the goal. In fact, I spent 30 to 45 minutes just rambling about everything that matters for internal linking.

I knew it was going to need a lot of data about all the pages on the website, the content on those pages, and how they already link to each other. I had to make sure it could get all that data using the Ahrefs MCP connector, and sure enough, it could. I also knew it would need data from Google Search Console about what terms the pages were getting impressions for and what their average position was.

I know we can get that data using the Ahrefs connector, but sometimes Google Search Console data doesn't correctly pass through to Ahrefs. To make sure we had a backup, I just wanted a cloud code and had it spin up a Google Search Console MCP we could use. With all that context in the connectors, I just let Fable go.

I said, figure out the best process for doing this, and then we're going to turn it into a reusable skill. It got to work. It spun up a bunch of Opus subagents. It performed six separate runs of the process to test against each other. A few hours later, it had created a skill it was proud of.

I ran a test of the skill on one of our clients that has about 10,000 pages on their website. The results were nothing short of amazing. Honestly, it's better than what I could have done in a week's worth of work. The net result is that we only have to charge our client a couple hundred dollars for work that's better than what we would have otherwise charged several thousand dollars for.

It's not that the work isn't worth several thousand dollars. That's what I've charged in the past, and it has been well worth it. It's just that there's no need to charge that anymore. This is just one example, but I think there are plenty of times where doing this kind of work without AI just isn't ethical anymore.

Building a reusable AI-assisted internal-link optimization skill with site data, Search Console data, MCP connectors, subagents, and comparative runs. The creator describes converting the internal-linking process into a reusable skill after using multiple subagents and six comparative runs. The creator says effective internal-link optimization requires knowledge of the specific website and its current rankings rather than generic automation alone. The creator describes page content, existing link relationships, and Google Search Console query and position data as inputs for the internal-linking workflow. Main topics: ai-agents, internal-linking.


The creator reports that Reddit's ranked keyword count declined from 750 million keywords in February to 465 million keywords at the time of recording. The figures are presented as the creator's report and require verification with an independent ranking dataset before they are used to assess Reddit's current search visibility.

A reported decline in Reddit's ranked keyword count The creator reports a decline in Reddit's ranked keyword count from 750 million in February to 465 million at the time of recording. Main topics: reddit-seo.


SEO isn't right for every business. And I say that as someone who's been doing SEO for 17 years. And when I say SEO, I'm including AI or GEO or whatever you want to call it. What I typically tell business owners is it makes sense to start investing in SEO when you're doing about a million a year in revenue. Now, that's a simplification. Of course, there are many exceptions. I talk about why SEO is generally not worth the money when you're below that mark and why you're effectively printing money when you're above that mark. Do we see it? SEO is pretty simple and it comes down to two things, authority and content. For SEO to work, you have to show up in a search engine. And that's still true with AI, it's just that it's AI using the search engine instead of a human. To show up in a search engine, you need enough authority to rank for the given search term. More competitive search terms require more authority. And you need content that's relevant to that search term. And then in AI search, the AI also needs to trust the content enough to cite it. But that's still just a matter of authority and content. Now, authority isn't actually just a single measurement. It's the number of factors being measured together. In the early days of Google, it was almost entirely determined by backlinks. What other websites are linking to your website? Today, backlinks still matter, but search engines like Google have become much more sophisticated. Other factors are now equally as important...

SEO isn't right for every business. And I say that as someone who's been doing SEO for 17 years. And when I say SEO, I'm including AI or GEO or whatever you want to call it. What I typically tell business owners is it makes sense to start investing in SEO when you're doing about a million a year in revenue. Now, that's a simplification. Of course, there are many exceptions. I talk about why SEO is generally not worth the money when you're below that mark and why you're effectively printing money when you're above that mark.

Do we see it? SEO is pretty simple and it comes down to two things, authority and content. For SEO to work, you have to show up in a search engine. And that's still true with AI, it's just that it's AI using the search engine instead of a human. To show up in a search engine, you need enough authority to rank for the given search term. More competitive search terms require more authority. And you need content that's relevant to that search term. And then in AI search, the AI also needs to trust the content enough to cite it. But that's still just a matter of authority and content.

Now, authority isn't actually just a single measurement. It's the number of factors being measured together. In the early days of Google, it was almost entirely determined by backlinks. What other websites are linking to your website? Today, backlinks still matter, but search engines like Google have become much more sophisticated. Other factors are now equally as important. Things like how many people are searching for your brand by name; or when someone performs a search, how likely are they to click on your website in the search results; how often are you getting reviews on the sites that Google trusts; and how prominently are you mentioned online. And every year, Google's algorithm gets a little better at understanding what natural authority looks like. And a little better at detecting when someone's just gaming the system by, say, buying a ton of backlinks.

But here's the thing. If you're already doing over a million a year in revenue, you probably already have a lot of natural authority. Before you do any SEO. For businesses like this, you almost certainly have the authority to rank for hundreds of keywords that you're not yet ranking for. You just don't have content targeting those keywords. And content is the easy part for SEO agencies like ours.

Now, SEO agencies can help you build authority, and there's a few things we do for our clients in that direction. But there are real limitations.

In 90, maybe 95% of situations where an SEO agency is trying to aggressively build authority, starting from very little authority and trying to get you competitive, you're wasting your money at best, and at worst, it's going to backfire. Google knows what natural authority looks like and they know what aggressive link building looks like. So if you're a newer company and you haven't yet built much authority in Google, I recommend doing things that will naturally build your authority. Create content on social media, consider running ads on social media, get more reviews on the sites that Google trusts, and reach out to existing relationships or partners that might be willing to mention you or link to you from their website. But if you're an established business and you have authority and you haven't done SEO yet, you should definitely consider doing SEO.

The creator discusses when SEO may fit a business and frames search and AI visibility around authority, relevant content, and citation trust. The creator argues that established businesses may already have enough natural authority to rank but still lack content targeting available keywords. The creator frames SEO and AI search visibility as depending on authority plus content, with AI citation adding a trust requirement. The creator describes branded search, search-result clicks, trusted-site reviews, and prominent online mentions as signals of natural authority. Main topics: content-gaps, seo, seo-authority.


Claude's new Opus 5 model is out and on most benchmarks it's actually beating Fable. I'm going to talk about why no one saw this coming, when you should use Fable versus Opus, and whether there's still room for models like ChatGPT Sol or open-weight models like Kimi K3. So Fable 5 has been out for about a month now and it's truly amazing until you run out of usage on the subscription and have to pay the API costs. Opus 5, on the other hand, is a slightly smaller model. And so there's really no reason to think that it would be better than Fable 5. Across most of the benchmarks, it absolutely is. It also beats ChatGPT Sol across almost every benchmark on both price and performance. Before this release, ChatGPT could at least claim they were the cheaper version of Fable. Now, not so much. I've been using Opus non-stop for the last three days and it's hard for me to see why anyone would choose ChatGPT 5.6 Sol right now. But that doesn't mean that Opus is the only model you should be using. Fable is still the best model in a lot of important ways. So let me talk about when to use each model and how to use them together. Fable is still the smarter model. And now you're thinking, TJ, I thought you said Opus beat Fable on most of the benchmarks. And yes, it does. But not because it's smarter. It's because it never gives up. Fable is incredibly smart, but it knows it's smart, which is why it almost never doubts itself. It plows forward with whatever clever solution it's come up with. And they are typically quite clever...

Claude's new Opus 5 model is out and on most benchmarks it's actually beating Fable. I'm going to talk about why no one saw this coming, when you should use Fable versus Opus, and whether there's still room for models like ChatGPT Sol or open-weight models like Kimi K3.

So Fable 5 has been out for about a month now and it's truly amazing until you run out of usage on the subscription and have to pay the API costs. Opus 5, on the other hand, is a slightly smaller model. And so there's really no reason to think that it would be better than Fable 5. Across most of the benchmarks, it absolutely is. It also beats ChatGPT Sol across almost every benchmark on both price and performance. Before this release, ChatGPT could at least claim they were the cheaper version of Fable.

Now, not so much. I've been using Opus non-stop for the last three days and it's hard for me to see why anyone would choose ChatGPT 5.6 Sol right now. But that doesn't mean that Opus is the only model you should be using. Fable is still the best model in a lot of important ways. So let me talk about when to use each model and how to use them together. Fable is still the smarter model.

And now you're thinking, TJ, I thought you said Opus beat Fable on most of the benchmarks. And yes, it does. But not because it's smarter. It's because it never gives up. Fable is incredibly smart, but it knows it's smart, which is why it almost never doubts itself. It plows forward with whatever clever solution it's come up with. And they are typically quite clever. Opus, on the other hand, doubts itself every step of the way, which is why it double checks and triple checks all of its work.

So here's how you use them together. If you're doing anything simple or straightforward, just use Opus. It's going to end up being cheaper, and it's going to do a great job. But if you're doing anything complex and important—you're doing something where you need the model to have good taste and judgment— You need it to reason through many different factors and priorities. Then you should use Fable on high effort with one caveat. When you're giving Fable a task, include the extra instruction that you're in charge of design and review, but all implementation should be handled by Opus sub-agents. Ultimately, you want Fable to come up with the plan and you want Fable to be given the final sign-off. But Opus is actually better at the implementation. And you'll also end up saving a lot of usage this way.

Currently, on Claude subscriptions, you can only use up to 50% of your usage on Fable. I've been working this way for the last three days and only about 30% of my usage is going to Fable. Fable will typically spin up three to six sub-agents that all run Opus.

But TJ, what about all these open source models coming out of China like Kimi K3 that is just as smart and supposedly way cheaper? So Kimi K3 is really impressive and it actually does beat Claude on a few benchmarks, though it still loses on the vast majority to both Opus and Fable. But it's actually not that cheap, at least not yet. It looks like for now it'll be about half the cost of Opus, but that's if you're paying for usage. If you're on the Claude subscription, Claude is still incredibly affordable. If you're utilizing all your usage on a Claude subscription, you're only paying 4% of the usage cost, which is about 8% of Kimi K3 right now. And while Fable is only available on the Max plan, Opus is available on the Pro plan. So unless you're an enterprise that's forced to pay for usage, I think Claude's where it's at right now.

The creator explains a model-routing workflow that uses Opus for straightforward execution and Fable for planning, judgment, and final review. The creator reports that this orchestration used about 30% of subscription usage on Fable while Fable typically launched three to six Opus sub-agents. The creator proposes using Fable for planning and final review while assigning implementation to Opus sub-agents. The creator recommends Opus for simple or straightforward work and distinguishes complex work that requires taste and judgment. Main topics: model-orchestration, model-routing, usage-optimization.


The creator presents Red Bull's stunts, sponsorships, and events as activities that attract backlinks from major publications while also generating branded searches, referral traffic, and top-of-mind awareness. The creator recommends extending genuine event and sponsorship activity through partnerships with complementary businesses, social-channel distribution, press releases, website pages, and blog posts. For event concepts that are difficult to evaluate in advance, the creator proposes promoting several ideas through social media, directing each idea to a separate landing page, measuring audience interest, and executing only the concepts that receive a stronger response.

Using stunts, sponsorships, events, and landing-page testing to support link earning The creator presents Red Bull's stunts, sponsorships, and events as activities that attract publication backlinks, referral traffic, branded searches, and awareness. The creator proposes testing several event concepts with social promotion and separate landing pages before selecting which concepts to execute. The creator recommends extending event and sponsorship activity across partnerships, social channels, press releases, website pages, and blog posts. Main topics: event-marketing, event-testing, link-earning.


A week ago I made a video about how my agency is done building WordPress websites. And in that week we built a few more websites with Claude Code, and I'm even more confident we're never going back to WordPress. However, our team's thinking about how websites should be built in the future is evolving quickly. And in the spirit of building in public, I just wanted to share an update with everyone. We've been building websites with AI in some shape or form for about a year now. And we've tried about every shape and form there is at this point. We now have a team of AI native developers whose only job is to figure out the best way to build websites for the future. But this technology is moving fast, so like everyone else, we're figuring it out as we go. In the last video, I mentioned that our brilliant web dev, Hana, had built our own custom CMS, complete with a user-friendly visual backend and a drag-and-drop page builder. And it is truly beautiful, and it works great. But as many of you pointed out in the comments, CMSs need to be maintained, and that's extra overhead. Many of you pointed out that we should just use an existing CMS, like Payload or Sanity, And trust me, we have tried a lot. And it's not even that they don't work. It's just that we have big ambitions. We have systems we want to integrate into these websites. And every existing solution we could find just had limitations we weren't willing to accept. But in the last week, our brilliant consultant, Lucia, who I met on TikTok, asked a very important question. She asked, "Who are you building this CMS for?...

A week ago I made a video about how my agency is done building WordPress websites. And in that week we built a few more websites with Claude Code, and I'm even more confident we're never going back to WordPress. However, our team's thinking about how websites should be built in the future is evolving quickly. And in the spirit of building in public, I just wanted to share an update with everyone.

We've been building websites with AI in some shape or form for about a year now. And we've tried about every shape and form there is at this point. We now have a team of AI native developers whose only job is to figure out the best way to build websites for the future. But this technology is moving fast, so like everyone else, we're figuring it out as we go.

In the last video, I mentioned that our brilliant web dev, Hana, had built our own custom CMS, complete with a user-friendly visual backend and a drag-and-drop page builder. And it is truly beautiful, and it works great. But as many of you pointed out in the comments, CMSs need to be maintained, and that's extra overhead. Many of you pointed out that we should just use an existing CMS, like Payload or Sanity, And trust me, we have tried a lot. And it's not even that they don't work. It's just that we have big ambitions. We have systems we want to integrate into these websites. And every existing solution we could find just had limitations we weren't willing to accept.

But in the last week, our brilliant consultant, Lucia, who I met on TikTok, asked a very important question. She asked, "Who are you building this CMS for? And specifically, the user visual backend and the page builders?" And my knee reaction was, "Our clients, of course." It's important to us that all our clients own their own website. We don't believe you should ever be locked in or dependent on a single vendor to update your website. And at this point, most people are used to a visual backend like WordPress, the drag-and-drop builder.

But then I asked our team, would you ever use the visual CMS? Would you ever use a page builder to design a page or make updates to the website? And unanimously, it was a no. In essentially every situation, it's just way easier to ask Claude to update the website. And yes, you first want to apply those updates to a staging site and run deterministic checks to make sure it didn't break anything. But it's still just way easier. And that's not because of some technical knowledge that our devs have. Updating your website with Claude actually requires less technical knowledge than it does with a page builder.

So at least as of right now, with the websites we're currently building, we're placing the bets. We're betting that AI is only going to get better. And that page builders and CMSs are probably going to stay exactly where they're at. And that what you'll care most about in the future is that AI models like Claude can easily update and maintain your website in a way that's safe and secure. And yes, you'll still need databases and you may want to utilize reusable widgets that are maintained. But our bet is that the overhead of a visual CMS just isn't worth it anymore.

And I'm making this video primarily so that you can learn from our trial and errors. But I'm also making it for the comments section. In my last video, hundreds of people took the time to leave some really thoughtful comments. And like three people left some not so thoughtful comments. But those thoughtful comments were incredibly valuable to our thinking process. So please, keep them coming. Let's figure this out together.

The creator shares the agency's evolving approach to AI-maintainable websites, client ownership, staging, deterministic checks, and visual CMS overhead. The creator says client ownership and avoiding dependence on a single vendor are requirements in the agency's website approach. The creator reports that their team unanimously prefers AI-driven website updates over a visual CMS or page builder, while retaining staging and deterministic checks. The creator's current bet is that safe AI maintainability will matter more than the overhead of a visual CMS, while databases and reusable widgets may remain. Main topics: ai-maintainability, ai-web-development, website-ownership.


The creator presents Red Bull as a brand whose activities get people to write about it and keep it top of mind.

Red Bull as an example of recurring coverage and sustained brand awareness The creator uses Red Bull as an example of a brand whose activities encourage repeated coverage and sustained audience awareness. Main topics: brand-awareness.


If you're like most businesses, you're already using AI to do some work in your business. You've identified some set of tasks that you can hand over to AI, maybe you've even created some skills. But you also get the sense that AI could be doing so much more. In this video I want to talk about how you can do that. Our agency is still pretty people heavy, but most of the hands-on work is done by AI. I mean like probably 70 to 80 percent of the hands-on work is done by AI, mostly Claude, and within a year I expect that to be 90 or 95 percent. And that's not because we're delivering a bunch of AI slop. The rule in our agency is we only give a task over to AI if AI can truly do it better. It's not enough that it can nearly do it faster. We just devote a lot of time and resources into integrating AI into our processes. And by the way, a year from now, I still think we'll be very people heavy. People tend to multiply the value produced by AI. So the more value AI is producing, the more valuable humans become. To do this right, you need to go from giving AI discrete tasks to fully integrating AI into your business, or maybe more accurately building your business. It's the difference between onboarding a junior level member of your team that has to be given step-by-step instructions and onboarding a senior level member of your team that just needs to be given context and goals. Setting this up for AI requires two parts, data and skills. Data is all the hard facts and information about your business...

If you're like most businesses, you're already using AI to do some work in your business. You've identified some set of tasks that you can hand over to AI, maybe you've even created some skills. But you also get the sense that AI could be doing so much more. In this video I want to talk about how you can do that. Our agency is still pretty people heavy, but most of the hands-on work is done by AI. I mean like probably 70 to 80 percent of the hands-on work is done by AI, mostly Claude, and within a year I expect that to be 90 or 95 percent. And that's not because we're delivering a bunch of AI slop. The rule in our agency is we only give a task over to AI if AI can truly do it better. It's not enough that it can nearly do it faster. We just devote a lot of time and resources into integrating AI into our processes. And by the way, a year from now, I still think we'll be very people heavy. People tend to multiply the value produced by AI. So the more value AI is producing, the more valuable humans become. To do this right, you need to go from giving AI discrete tasks to fully integrating AI into your business, or maybe more accurately building your business.

It's the difference between onboarding a junior level member of your team that has to be given step-by-step instructions and onboarding a senior level member of your team that just needs to be given context and goals. Setting this up for AI requires two parts, data and skills.

Data is all the hard facts and information about your business. I recommend storing this information following something like Google's OKF standard and keeping it in a place like GitHub so it's easy to integrate with any AI. I have lots of videos talking about that. We build this for all of our clients. We call it their brand ambassador. What I really want to spend time on in this video is skills, because the way we create skills for new models is changing. If you don't know, a skill is just a set of Markdown files with instructions for AI. Except, like I said before, the newest, smartest frontier models aren't like low employees that need step instructions.

So when you're writing skills for models like Fable 5 or Sol 5.6, you shouldn't be telling it exactly how to do the task. You should just be providing all the context it needs to work as a representative of your business. Again, all the context that a senior level member of your team would need to pursue your goals.

So let me give you some examples. Our team uses Notion for task management. So we need one comprehensive skill that spells out how to do anything in Notion. Where everything is, what every single field means and how all our internal processes work inside of Notion. And then anytime Claude needs to do something inside of Notion, it can refer to that skill. And here's the important bit. No other skill should ever talk about where things are in Notion. This is an important principle to keep in mind as you start to build up these skills. In coding, it's called DRY. Don't repeat yourself. Each piece of information should have one home.

If any other skill needs that information, it should just reference that skill. But Claude needs other types of information as well, like our general philosophy around SEO. So we need a skill all about website optimization. A skill all about authority and how that impacts rankings. A skill about keyword research and how to pick the right topics for content. None of these skills are step-by-step instructions telling Fable exactly how to do something.

Fable is entirely capable of figuring out the best process to achieve a given goal. In fact, if you do spell out step-by-step instructions, you're likely just hamstringing it, preventing it from coming up with a better process to achieve that goal. What it needs is context and data. Context around how your specific business operates and thinks. It takes a long time to document and organize all that data, but it's well worth it.

The creator explains how to integrate AI into a business through shared context, model skills, and canonical operational knowledge. The creator applies a DRY principle to AI skills, with each piece of operational information kept in one authoritative home and referenced elsewhere. The creator recommends giving newer frontier models business context rather than prescribing the exact task procedure. Main topics: ai-skills.


The creator describes a study of over 1.4 million ChatGPT prompts examining why one page is cited over another and says URLs need to match the searches ChatGPT performs. The creator explains that ChatGPT can generate multiple searches from a prompt, calling them fan-out queries, and emphasizes aligning page URLs, titles, and H1 headings with those queries.

URL, title, and H1 alignment with ChatGPT fan-out queries The creator explains fan-out queries as multiple searches generated from a prompt and emphasizes alignment between those queries, page URLs, titles, and H1 headings. The creator describes URL relevance to ChatGPT's generated searches as a primary factor associated with one page being cited over another. Main topics: ai-citations, fan-out-queries.


The creator describes selecting an individual page in Google Search Console, reviewing the queries associated with that page and exporting them as a CSV. The creator then proposes comparing the article with those queries to identify keyword clusters with meaningful impressions that are not covered well and to suggest additional H2 sections for queries the article already partially matches.

Using page-level Google Search Console queries to identify content gaps and potential H2 sections. The creator describes using Google Search Console's page report to identify the queries associated with an individual page and export them as CSV. The creator proposes comparing an article with its Search Console queries to find impression-bearing keyword clusters that the article does not cover well. Main topics: content-gaps, google-search-console.


The creator argues that content can be relevant to a target keyword and have backlinks while still failing to satisfy what the searcher wants. The creator also warns against building an SEO or GEO strategy around a platform's temporary technical limitation and recommends aligning tactics with the longer-term goals of searchers and platforms.

Search-intent satisfaction and the risks of building SEO or GEO strategies around platform limitations. The creator warns against building an SEO or GEO strategy around a platform's temporary technical limitation. The creator argues that content can match a target keyword and have backlinks while still failing because it does not satisfy search intent. Main topics: search-intent, seo-strategy.


The creator says Google does not care whether a single piece of content was created by AI but has a problem with scaled AI content. They argue Google is not trying to detect AI authorship on individual pages and instead looks for patterns associated with abuse or manipulation of search results. According to the creator, publishing large amounts of optimized content can increase search traffic and AI recommendation visibility for a site with some authority while also creating penalty risk. They say observed scaled-content-abuse penalties have so far appeared as manual actions and relay David Quaid's view from Edward Sturm's podcast that Google may eventually detect these patterns algorithmically. The creator says publishing speed depends primarily on site authority and size. They describe authority through signals such as inbound links, branded searches, and current traffic, and size through the number of pages indexed in Google. They contrast adding 1,000 pages in a month to a site with 100 indexed pages, which they say looks unusual, with adding the same amount to a 50,000-page site, which they say may resemble a normal month. They add that many site owners need not be nervous about publishing one page per day and say sites currently being penalized are often adding hundreds or thousands of pages daily. Their concluding view is that most sites have a problem of publishing too little rather than too much.

Scaled AI-content risk, publishing velocity, and indexed site size The creator says Google is not detecting whether individual pieces were AI-generated and instead looks for patterns associated with search-result abuse or manipulation. The creator says large-scale optimized publishing may increase search and AI visibility while also placing a site on Google's radar for a penalty. The creator frames acceptable publishing velocity as relative to a site's existing indexed-page count, contrasting a 1,000-page increase on a 100-page site with the same... Main topics: ai-content, publishing-velocity, scaled-content.


The creator argues that SEO and GEO work should track visibility while recognizing that no tracking data is perfect. They describe two Google-related anomalies that could make visibility appear worse without a corresponding decline in actual performance. The first is a September 10 search-results change that, according to the creator, prevented rank trackers from seeing beyond the first page, reducing observation from roughly the first 100 results to the top 10 to 20. In Ahrefs, this could appear as a sharp drop in indexed pages even though the pages may still be indexed but no longer rank in the top 20. The creator also says this may appear in Google Search Console as lower impressions without lower clicks because rank-tracking tools contributed many of those impressions. The second change is attributed to the week of June 8 in Google AI Mode, where responses were said to recommend fewer brands and increasingly link to Google properties. The creator says a brand may see lower visibility while competitors experience the same broad dip, leaving relative share of voice similar. They recommend tracking competitors alongside the focal brand to identify platform-level anomalies.

Visibility-tracking anomalies in rank trackers, Search Console, and Google AI Mode The creator links a Search Console impression decline without a corresponding click decline to rank-tracker activity rather than to a direct loss of user traffic. The creator says a Google results-page change reduced how deeply rank trackers could observe results, which could make third-party tools show an apparent drop in indexed pages. The creator says Google AI mode increasingly links to its own properties and that a broad brand-visibility dip may occur without changing relative share of voice. Main topics: ai-mode, google-search-console, rank-tracking.


The creator argues that AI answers about small and medium-sized businesses can feel like opinions but may be assembled from current search results and their cited pages. For large, well-known brands, more information may already exist in training data. For medium-sized businesses, the model may have some prior information, but the creator says search results are typically more influential. For small businesses with little information available, the creator says AI may not remember the brand, which they frame as making its description easier to influence. Their proposed approach is to identify pages commonly cited when people ask about the brand and, when those pages cannot be updated, create similar pages that may be cited instead.

How cited search results can shape AI descriptions of smaller businesses The creator argues that AI answers about small or medium-sized businesses may be assembled from contemporaneous search results and their cited pages. The creator says that for a medium-sized business, information retrieved during a search may outweigh whatever information the model already has in training data. The creator proposes identifying pages commonly cited for a small brand and improving or creating comparable pages as a way to influence later AI descriptions. Main topics: ai-citations, citation-analysis, training-data.


The creator compares the visibility of the CommitClub BetaList page in Google and Bing after ChatGPT surfaced that page. The creator treats its appearance at the top of Bing results and absence from the tested Google results as an indication that ChatGPT may be using Bing, while acknowledging that another search engine could provide an alternative explanation.

Comparing a page surfaced by ChatGPT with its visibility in Google and Bing search results. The creator treats Bing visibility for the CommitClub BetaList page, contrasted with its absence in Google results, as an indication that ChatGPT may be using Bing for web search. Main topics: chatgpt-search.


The creator uses a Uniqlo wide-leg-pants category page to illustrate placing a target phrase in the page title, URL, and H1 while using the phrase only a few times on the page. The creator contrasts this with a Chewy dry-dog-food page that reportedly repeats its target phrase 78 times while omitting the phrase from the URL slug. The creator also argues that an e-commerce SEO page does not necessarily need extensive supporting text, citing a short Uniqlo page composed primarily of product items.

E-commerce SEO examples involving keyword placement, repetition, URL slugs, and category-page length. The creator uses a Uniqlo category page to illustrate placing a target phrase in the page title, URL, and H1 while using the phrase only a few times on the page. The creator argues that an e-commerce SEO page does not necessarily need extensive supporting text, citing a short Uniqlo page composed primarily of product items. The creator contrasts the Uniqlo example with a Chewy page that reportedly repeats its target phrase 78 times while omitting that phrase from the URL slug. Main topics: content-length, keyword-stuffing, on-page-seo.


Hey, Google. My daughter was spared by a guardrail down here, and we planted like 10,000 daffodil bulbs here, and somebody had added a pin here as a historic marker for Hannah's daffodils. And it got like a hundred plus reviews, and like more than half of those have just disappeared today. This is one of the problems with AI automation. He lost all of his reviews because Google's AI is actually doing what it was designed to do. Google tracks your location. And since none of the reviewers were actually at the location and they're coming from all over the world, Google filtered them out. Also, they only had 8 reviews. Then he posted this video, and they got a spike of 100 new reviews overnight. That looks suspicious to Google, and that's another red flag that might get your reviews filtered. And it's a shame. It's just that AI lacks the human empathy to be able to handle a situation like this. But humanity wins. His video has over 1.7 million views, and Hannah's Daffodils has over 14 Google reviews and growing.

Google review filtering, reviewer location, and sudden review-volume spikes. The creator attributes review filtering to reviewers lacking location proximity and to an abrupt spike in review volume that appeared suspicious to Google. Main topics: local-seo.


This simple SEO change caused pretty little thing to sell out of stock with an 841% uplift. They switched from traditional category pages like jeans to intent driven category pages like airport outfits. 841% uplift. Every single item featured on these intent driven category pages sold out of stock. All e-commerce brands can target high intent scenarios with their products. You don't just have to call your products sweatpants, you can call them airport outfits. Or you sell leather wallets. Sell them with a page: Father's Day gifts, groomsmen gifts, everyday carry wallets. When you target these high intent scenarios, put the keyword in the page title, the URL, slug, the H1, the beginning of the first sentence. That easy and save years learning a high intent SEO that targets paying customers, users, warm leads calling you up at compact keywords com.

Intent-driven e-commerce category pages and on-page keyword placement. The creator recommends matching products to high-intent scenarios and placing the target phrase in core on-page elements. The creator reports that replacing broad product-category pages with scenario-based, intent-driven category pages produced a substantial commercial uplift for an e-commerce brand. Main topics: ecommerce-seo, on-page-seo.


Just a reminder, if you're still monetizing with Adsense instead of your own product, what are you even doing? Adsense is incredibly low amounts of money. His startup Photo AI would make $150 a month with 156 thousand visitors. $1 CPM. Instead, it makes $110,000 a month with subscriptions. So about 700 times more. It has never been easier to vibe code your own product, go to replit, spin something up, stop relying on Adsense. 700 times more. It's also easier once you have something to sell. You use SEO to target people who are looking for what you offer. Right now. These searches always go under targeted because, 1, just people don't even know how to do SEO. But, 2, searches at the bottom of the funnel, where all the intent is, there's a less volume than the informational, which doesn't convert because there's less volume. The highest intent SEO keywords always go overlooked, so there's less competition. I have an SEO course on how to find these high intent searches. People are doing searches that result in customers, users, warm leads calling you up. You can get that at compact keywords com. It is such a great time to be a builder.

Lower-volume , bottom-of-funnel SEO searches and high-intent lead outcomes. The creator describes high-intent searches as queries capable of producing customers, users, warm leads, and direct calls. The creator argues that lower-volume, bottom-of-funnel SEO searches are often overlooked even though they carry stronger purchase intent than informational queries. Main topics: commercial-intent, high-intent-seo.


It seems like Google is very busy these days with GSC and starting to integrate a lot of the things that I think us SEO's have been, like, asking for. They are going to be letting businesses see content from social channels. So think Instagram, TikTok, YouTube, X. Discovery can happen everywhere. I think that marketing is holistic, and it just shows how other channels can really influence that search journey. The user journey has changed completely. And so if businesses aren't already thinking about just creating some sort of map, uh, of a, of a purchase journey and all these different touchpoints that now include, you know, LMS as well as the social channels that you were mentioning, um, then you need to do it.

Social discovery and mapping search, social, and LLM touchpoints across the customer journey The creator recommends mapping purchase-journey touchpoints that include social channels and large language models. The creator says discovery can occur through social platforms and that those channels can influence a user's broader search journey. Main topics: Customer journey and LLM discovery, Social discovery and the search journey.

Customer journey and LLM discovery
Social discovery and the search journey


Recently, the internet has become flooded with people who want to sell you GEO or AIs SEO services. These are typically agencies that'll help you get recommended by large language models or rank in AI search. I've been doing SEO for 17 years, and I believe all search will be AI search within a few months, so I've effectively become one of these agencies. And I know from talking with a lot of business owners that it's hard to tell if you're being ripped off, so I just want to give you all the warning signs I've seen so you can avoid being ripped off by one of these agencies. The first warning sign is they present GEO as something entirely separate from SEO. The truth is the only way to get recommended by an AI is to first appear in a search engine, and that's because AI uses a search engine to find the information it needs to recommend you or your competitors. The differences are in how AI uses search engines compared to humans. Now, personally, I think this is moving so fast that it no longer makes sense to optimize for humans. I think we're very near the point where AI is doing all of the searching. But at the very least, your GEO strategy needs to be integrated with your SEO strategy. If they're presenting it as a completely separate service, that's a red flag to me. Another warning sign is if they aren't tracking the websites that AI is citing when people are looking for your product or service. There are a lot of services that do this now. Some are better than others. We use peak that AI. Profounds probably the biggest player in the space...

Recently, the internet has become flooded with people who want to sell you GEO or AIs SEO services. These are typically agencies that'll help you get recommended by large language models or rank in AI search. I've been doing SEO for 17 years, and I believe all search will be AI search within a few months, so I've effectively become one of these agencies. And I know from talking with a lot of business owners that it's hard to tell if you're being ripped off, so I just want to give you all the warning signs I've seen so you can avoid being ripped off by one of these agencies.

The first warning sign is they present GEO as something entirely separate from SEO. The truth is the only way to get recommended by an AI is to first appear in a search engine, and that's because AI uses a search engine to find the information it needs to recommend you or your competitors. The differences are in how AI uses search engines compared to humans.

Now, personally, I think this is moving so fast that it no longer makes sense to optimize for humans. I think we're very near the point where AI is doing all of the searching. But at the very least, your GEO strategy needs to be integrated with your SEO strategy. If they're presenting it as a completely separate service, that's a red flag to me.

Another warning sign is if they aren't tracking the websites that AI is citing when people are looking for your product or service. There are a lot of services that do this now. Some are better than others. We use peak that AI. Profounds probably the biggest player in the space.

Services like hrefs will show you how often you appear for common queries, but the prompts people enter in AI are never actually common, which is why I think you need a service to let you track the prompts that you want to track. But why is this so important?

When someone enters a prompt into AI, that AI is then immediately going to do what's called a fan out query. It's going to do three to 12 separate searches in a search engine, then gonna look through 1 to 200 potential results, in site maybe a dozen of them. If your brand is recommended more often than your competitors on those pages that get cited, the AI will recommend your brand. Otherwise, it'll recommend your competitor.

That's the entire game with AI search. So if you don't know which pages are actually being cited, you really just can't do GEO. So not tracking citations is perhaps the biggest red flag.

The third warning sign is that they talk about GEO as some technical implementation they have to do on your website. Just like SEO, 90% of GEO comes down to content. Content on your website and content on other pages that AI is citing. If the campaign isn't focused on creating or editing content that gets cited by AI to recommend your brand, they're not really doing GEO.

Now, there are a ton of cool things you can do on your website from a technical point of view to integrate AI in your website or to let AI agents use your website more efficiently. But that's not GEO. That's not gonna help you be recommended by large language models or show up in AI search.

GEO service warning signs: SEO integration, citation tracking, and content-focused work The creator argues that GEO is primarily content-focused rather than only a technical implementation on a website. The creator presents GEO as dependent on search-engine visibility and warns against treating it as entirely separate from SEO. The creator describes search-result citations and cited-page tracking as central components of the presented GEO model. Main topics: AI citation tracking, Content-focused GEO, GEO and SEO integration.

AI citation tracking
Content-focused GEO
GEO and SEO integration


The creator describes finding people who are searching for what a brand sells but do not yet know the brand, then targeting those searches with conversion-focused SEO landing pages.

Finding non-branded search demand and targeting it with conversion-focused SEO landing pages. The creator describes finding searchers who want what a brand sells but do not yet know the brand, then targeting those searchers with conversion-focused SEO landing pages. Main topics: search-intent.


People are exploiting the World Cup with SEO. Search phrases include “World Cup game now,” “England versus Norway live,” “FIFA World Cup 2026 live,” and “Live England versus Norway.” Searchers looking for these results may think they can watch the World Cup on YouTube and click because the result says video. Instead, they may see fans watching rather than the actual match. One description says, “We are currently displaying fans arriving. This is not an actual live match.” The creator says the BBC uses “England versus Norway live,” but the destination is live reporting rather than the match. Another “Watch live now” path is described as passing through five redirects to a sign-in page. The creator presents these examples as SEO hijacking of trending events.

World Cup live-match search wording used to attract viewers to non-match video content The creator describes live-match and video-oriented search wording being used to attract World Cup viewers to content that shows fans or live reporting rather than the match. Main topics: seo.


We are quickly moving into a world where most interactions on your website will be done by an agent. Instead of a human visiting your website themselves, an agent will be visiting your website on their behalf. So I just want to share some new information we have about how agents see your website and how you can prepare for this new future. Dan Petrovich recently put out a very interesting blog post talking about how Google's Chromium uses something called a page content agent to understand the content on your website. They ran a bunch of experiments and extracted exactly how Google sees your website. And this is all happening inside of a Chrome browser. I'm sure other browsers are starting to do the same thing, but I doubt any of them are as ahead on this as Chrome is. Keep in mind that most browsers do run on chromium. Using Microsoft Edge, for example, you're still using Chrome. And it's true of most headless browsers as well. If you're using playwright or puppeteer, you're using chromium. And if you're using Gemini in Chrome, Chrome will pass this data directly to Gemini, but it could be passed to any large language model. So since essentially every AI has access to some version of chromium, I think it's safe to say that all AI will have access to this data from chromium. And what Dan Petrovich revealed in his blog post is that Chrome's page content agent has become remarkably Good at taking the content of a webpage and stripping it down into markdown for the agent. And at first that sounds like a very simple task, right?...

We are quickly moving into a world where most interactions on your website will be done by an agent. Instead of a human visiting your website themselves, an agent will be visiting your website on their behalf. So I just want to share some new information we have about how agents see your website and how you can prepare for this new future. Dan Petrovich recently put out a very interesting blog post talking about how Google's Chromium uses something called a page content agent to understand the content on your website.

They ran a bunch of experiments and extracted exactly how Google sees your website. And this is all happening inside of a Chrome browser. I'm sure other browsers are starting to do the same thing, but I doubt any of them are as ahead on this as Chrome is. Keep in mind that most browsers do run on chromium.

Using Microsoft Edge, for example, you're still using Chrome. And it's true of most headless browsers as well. If you're using playwright or puppeteer, you're using chromium. And if you're using Gemini in Chrome, Chrome will pass this data directly to Gemini, but it could be passed to any large language model.

So since essentially every AI has access to some version of chromium, I think it's safe to say that all AI will have access to this data from chromium. And what Dan Petrovich revealed in his blog post is that Chrome's page content agent has become remarkably Good at taking the content of a webpage and stripping it down into markdown for the agent. And at first that sounds like a very simple task, right? You should just be able to look at the HTML mail, strip out the text, and there you have your markdown.

But it's actually a lot more complicated than that. First issue is that not everything that's rendered on the page is actually included in the HTML. Some elements are loaded by javascript and won't be shown in the HTML. The page may have retrieved information from your specific account, and that won't show up in the HTML.

Or there may be form fields on the page that you've entered information into. Chrome's page Content Agent can retrieve all of that information. Just a few months ago, the only way for AI to get his information was to actually take screenshots of the page. Then they might scroll or click a button and take another screenshot.

And every screenshot would take a couple seconds to process. It was incredibly slow and consumed a lot of tokens. What's perhaps most remarkable about Chrome's Page Content Agent is it runs entirely on your browser, so the page extraction happens almost instantly and essentially for free. And because it's on your hardware, it can also retrieve sensitive information.

In Dan's blog post, you're surprised to see that it even retrieved information from your bank account, for example, or from password fields. But then before that, Information leaves your device. Google strips out the sensitive information. But the Page Content Agent doesn't just help AI read the content on your page, it also helps it interact with the page.

Every element that it documents on the page also comes with coordinates, so the AI knows exactly where the buttons are and compress them without having to look at the page. So the big news here is that AI agents just got way better at interacting with websites. What can you do about it right now? I recommend visiting your website on Chrome and then opening the Gemini for Chrome in the side panel.

Just ask it to give you the raw output from its page content agent when viewing your website. Then look through the output and make sure it's understanding your website correctly. In my experience, it does a really good job even if you haven't prepared your website for AI agents. But if you haven't yet set up webmcp, it might have trouble understanding your forms.

Audit what browser agents actually extract from key pages instead of assuming raw HTML represents the complete experience. Main topics: AI agent website readability.

How do AI agents see my website? Chrome's page content agent reads th...


If for some reason you don't want to be discovered in AI, go to Google Search Console, scroll down to settings, find AI Controls. The default is to include your site's links and content in AI features. You can toggle it off, but you know, most people actually want to get discovered and recommended in AI.

Search Console's generative AI control defaults to including a site's links and content in Google's AI features unless the owner opts out. Main topics: Search generative AI controls.

If for some reason you don't want to be discovered in AI… Go to Googl...


Ponto manages over a half a million businesses across four markets in Europe. They built localization agent that adapts their content for every market. Localization time dropped up to 70%. So check this out. Their content managers didn't lose their job. They stopped translating their texts and moved up to content strategy. The agent took the groundwork. The humans took the thinking.

A localization agent can take over draft adaptation while content managers retain strategic judgment; the cited Qonto case reports up to 70% lower localization time. Main topics: ai agent workflows.

Qonto's localization agent cut translation time up to 70% across thei...


Use Claude to rank No. 1 on Google in 30 seconds. Go to Google, type in your service, find your top competitor, go to their Google Business Profile, click view all Google reviews and copy all of them. Then go to Claude, ask it to extract common questions, pain points and objections from these reviews. Then just turn those questions into blogs and frequently ask questions on your website. If you want us to help you rank higher, comment s. E. O.

The creator recommends mining a competitor's public Google reviews for recurring questions, pain points, and objections, then using relevant themes as inputs for website... Main topics: answer-ready-service-page-checklist.

Use Claude to rank #1 on Google (30 second tutorial) Comment “SEO” if...


If you have a Google Business Profile, check this ASAP. Go to your profile, hit edit, and go to business categories. Go to Chrome Store and search GMB Spy. Download it and go to Google Maps. Search your service and city, and click on the competitor ranking number one. Open GMB Spy, and you can see all the categories they have. These are big ranking factors in the map pack. Go back to your profile and add any you're missing to match. Comment SEO if you want help ranking higher.

Google Business Profile categories affect Map Pack visibility, and a competitor-category audit can reveal relevant categories missing from a profile. Main topics: Google Business Profile categories.

Check this if you have a Google Business Profile 👀 Comment “SEO” for ...


Watch this. If you go to Google Search Console, click performance, search results, you'll see this button that says get more details on your site's performance. Click open report, and you'll unlock this new tab called generative AI. Now you can see how much you're showing up in AI overviews and which pages are showing. See if you have it, and if you want our help showing up in AI results, comment SEO.

Search Console's Generative AI report shows AI Overview visibility and which site pages receive impressions from generative search features. Main topics: Search Generative AI reporting.

NEW AI feature to see if you’re showing up in AI Overviews! It’s stil...


here's how to see if ChatGPT is recommending go to Bing com slash webmasters hit get started create an account and grab your site from Google Search Console and boom click on AI performance and you can see the keywords you're showing up for and the pages that are getting recommended save this and follow for more.

The creator says Bing Webmaster Tools has an AI Performance view that reports queries and pages associated with AI visibility; current availability and metric definitions... Main topics: measure-ai-search-visibility.

This free Bing trick shows you if ChatGPT is recommending your busine...


Watch this go to Google Analytics, click on reports, then acquisition, then on traffic acquisition, click on this dropdown to make sure it's on default channel group. Now look for AI. Assistant. Google just added this. It shows you every visitor that went to your site from ChatGPT, Gemini or claw. If that number's up, AI is already recommending you if you want more help showing up comment SEO.

The creator recommends checking Google Analytics Traffic acquisition under the default channel group for an AI Assistant row; such referral traffic would not by itself prove... Main topics: measure-ai-search-visibility.

New Google Analytics feature exposes exactly how much AI traffic your...


Watch this, go to Google Search Console, click on performance, then search results. Click the little AI box right here. Say show me queries with high impressions, but a low CTR in the last 28 days. Now you'll see every keyword Google's already showing you for, but nobody's clicking. These are the easiest wins on your entire site. Change your meta title to make it more enticing. Add a section on that page that mentions that keyword and add some internal links from other pages with that keyword as the anchor text. Super easy, common SEO for more help ranking.

High-impression, low-CTR Search Console queries reveal pages where titles, on-page coverage, and internal links may be improved. Main topics: Search Console CTR optimization.

This new Google AI trick inside Search Console finds your easiest ran...


Most people have no idea what Figma's new AI agent can actually do. Here are three of the most popular workflows that blew my mind. One you can make bulk edits across your entire project. This is actually my most used feature with their new AI agents. Say you have 50 screens on your design and you need to change the accent color in every single one. Or swap a component across every page. Or update the typography everywhere. Normally you are clicking through every screen one by one and doing the exact same edit over and over. This will take me multiple days to do with the new Figma AI Agent. You just say update the header font to enter across every screen. Or swap all the old button components to the new design system version. It does it to the entire file for every screen at once. 2. You you can ask the agent to generate multiple completely different style directions for the same design and compare them side to side instead of committing to the first layout that you start out with. You tell the agent give me three design styles for the screen, one that's organic, one modern, and one minimalistic. It then generates all three right in the canvas next to each other with your exact feature. This is really helpful when I build apps for small businesses because it lets me prototype different design variations really quickly with the same project specifications. 3. This Last one is the one that's saving me the most time. You can convert your entire project to dark mode with just one prompt. That sounds easy, right?...

Most people have no idea what Figma's new AI agent can actually do. Here are three of the most popular workflows that blew my mind. One you can make bulk edits across your entire project. This is actually my most used feature with their new AI agents.

Say you have 50 screens on your design and you need to change the accent color in every single one. Or swap a component across every page. Or update the typography everywhere. Normally you are clicking through every screen one by one and doing the exact same edit over and over.

This will take me multiple days to do with the new Figma AI Agent. You just say update the header font to enter across every screen. Or swap all the old button components to the new design system version. It does it to the entire file for every screen at once.

2. You you can ask the agent to generate multiple completely different style directions for the same design and compare them side to side instead of committing to the first layout that you start out with. You tell the agent give me three design styles for the screen, one that's organic, one modern, and one minimalistic. It then generates all three right in the canvas next to each other with your exact feature.

This is really helpful when I build apps for small businesses because it lets me prototype different design variations really quickly with the same project specifications. 3. This Last one is the one that's saving me the most time. You can convert your entire project to dark mode with just one prompt.

That sounds easy, right? But no, this normally would have taken me multiple hours going across every single model and button component and changing into dark mode itself. I had a full app with 15 different screens all in light mode, and I just told the agent convert all of these to dark mode. And then it did.

Not just invert the colors, which always looks terrible. I actually understood the visual hierarchy and made a proper dark mode adjustments to every fill, every text color, and every contrast ratio across all 15 different screens. I created a new detail guide on how to use Figma's new AI design agent along with prompts that I use for my daily work. If you want it, just like the video and comment design and I'll send it to you.

Follow for ways to make money and run your business with tech and AI.

AI-assisted design workflows can apply system-wide component or typography changes across many screens instead of repeating edits page by page. Main topics: AI design operations.

3 things you can do with the Figma agent that blew my mind #ai #tech ...


Here's how to force Google to rank your social media posts. Go to Google Search Console and create a free account. It's Google's free tool that lets you look into the algorithm. Once you're logged in, click Add property, choose one of your social media accounts, and just follow the steps to sign in. This will show you your top ranking posts and even which keywords they rank for. So here's what smart business owners are doing. They're looking for keywords that have a lot of impressions but not a lot of clicks, like this one. They're taking that keyword and using it in their next social post.

High-impression, low-click queries in social Search Console data can become briefs for the next social post. Main topics: Social search content strategy.

Rank your social media posts on Google 😲 Google search console just r...


This boring little section of your Google Business Profile will help your business show up in AI results. I'm talking about the business description. For years, SEOs have known that this field doesn't help you rank in Google's local results, but new data is showing that this field is being picked up and cited in AI answers. Most businesses are using a generic description that they wrote 10 years ago and haven't looked at since. Huge mistake. Now that AI is directly referencing this field, it's time for you to update it. And my recommendation is to go into detail about what you offer and where you operate. And don't use we. Say, business name provides service to location. That's called a semantic triple, and it'll help the clankers understand your business better. Save this post, share it with someone who needs to hear it, and follow me for more SEO tips.

A detailed Google Business Profile description can give AI answers explicit context about what a business offers and where it operates. Main topics: Google Business Profile AI context.

Your Google Business Profile description could become part of an AI a...


What's the fastest way to rank in AI Overviews? Okay, so a lot of people don't know this, but it's really easy to rank in AI Overviews with social media content. And Google actually just released a brand new tool that lets you sign up your social media accounts with Google Search Console, see all the keywords you're ranking for, see how many people are clicking on it, and see which posts are getting recommended the most. So how do I sign up for that? Okay, go to Google Search Console, sign up for a free account. That's Google's tool that allows you to look into the algorithm. Then you're gonna click Add Property, choose one of your social media profiles, sign in, verify. It takes two seconds to do, and it'll take about 48 hours before you start seeing results.

Search Console platform properties make social-post visibility measurable by showing which posts and search queries drive Google performance. Main topics: Social search measurement.

This is way too effective 😲 Ranking in ai overviews is so easy to do ...


Everyone is wrong about followers. Yes, they still matter. But don't just take my word for it. Take Google. Here's what happened. Last week, Google quietly launched search profiles, a claimable spot within Google Search itself. It's a permanent piece of digital real estate that you can customize where you control how Google describes you, what content shows up, even what gets pinned to the top. It can trigger a knowledge panel, which previously took years to earn and it feeds directly into the Google Discover algorithm. But here's a catch. Even qualify, you need 1 hundred plus thousand followers on either Instagram, YouTube or X or 300000+ on TikTok. Google just gated one of the most valuable piece of real estate that they launched in years using the exact metric that pretty much every marketer said doesn't matter. So what's the actual truth about followers? Followers didn't stop mattering. They just changed jobs. For 10 years, followers were distribution. You posted, your follower saw it, that was a deal. Then algorithms change. Content became distribution. So everyone said followers are dead. They were half right. Followers stop being distribution. But they became something arguably more valuable, reputation, a signal about brands, sponsors, platforms, and now Google uses to decide who gets access to things, who gets a speaking slot, the sponsorship, the partnership. Followers used to be how you get seen. Now they're how you get chosen. And Google just made that official.

Google Search profile eligibility uses follower thresholds, making audience size an access requirement for this creator search real estate. Main topics: Google Search profile eligibility.

Google didn't say followers matter. Google made it a requirement. The...


Harry Sanders presents a rapid assessment of SEO practices. He argues that page-speed work should focus on whether a website is genuinely slow rather than on its Lighthouse score alone. He also describes domain authority as a third-party score that should not be treated as a primary concern. Original data and research are rated as a strongly positive practice.

SEO green and red flags: page speed, domain authority, and original research The creator argues that page-speed work should be prioritized when a website is genuinely slow rather than from its Lighthouse score alone. The creator rates original data and research as a strongly positive practice within the discussed SEO and AI-search framework. The creator characterizes domain authority as a third-party score that should not be treated as a primary SEO objective. Main topics: Domain authority and SEO metrics, Original research and content strategy, Technical SEO and page speed.

Domain authority and SEO metrics
Original research and content strategy
Technical SEO and page speed


A new study from Yext shows that only 5% of people go from an AI recommendation to making a purchase. Everyone else enters what Yext is calling the verification loop. They search for the business on Google, check the Google Business Profile, read the reviews, visit the website and check the social media just to see if the business seems real and is trustworthy. The X study shows that 53% of people will still run a search on Google after receiving an AI recommendation, and 49% will visit the business's website. So getting recommended by AI is just the first step. Your Google Business Profile, website reviews and social media still need to back up that recommendation. And if the whole verification loop looks too complicated to manage, go to whitespark.com for amazing software and services. It'll help you manage all of this.

The creator argues that an AI recommendation is only one step in a buyer's verification process and recommends checking whether the Google Business Profile, website, reviews... Main topics: google-business-profile-visibility-audit.

Everyone is obsessed with getting recommended by AI. But THIS matters...


If you wanna see if AI recommends your business, check out these free tools. I recommend that you run all three of these tools to give you the clearest picture, so save this video for when you have time. Ahrefs AI Visibility Checker: enter your brand name, see your total mentions on ChatGPT, Gemini, Perplexity, Copilot, AI Overviews, AI Mode and Grok, topics you're mentioned for the most, and your most cited pages. Semrush AI Search Visibility Checker: enter your domain, see how often you're mentioned by ChatGPT and AI Overviews, your key competitors, your most popular prompts and opportunities. SEranking AI Visibility tracker: enter your domain and your key competitors. Choose your AI engines and compare your brand and link mentions across them all. Let me know what you found in the comments.

AI visibility tools expose different engine coverage, mentions, cited pages, prompts, competitors, and link signals, so a single vendor score is not a complete measurement system. Main topics: AI search measurement.

Use these free SEO tools to check your AI search visibility to figure...


The future of business is changing. The way you get customers is changing. And the way customers find you, that part is already gone. For 20 years, it ran the same way. Someone had a question, they googled it, they clicked, they found you. The whole chain is falling apart right now. Today, they ask AI, and AI doesn't give them 10 links to pick from. It gives them an answer and a shortlist of few names. If you're not one of those, you don't exist. And before you tell me you rank number one on Google, we actually tested this. The citations coming from Google's top 10, they collapsed from 76% to 38%. And three out of the four come from sources that aren't even on Google at all. Breaking first doesn't save you anymore. Being the answer does. And being the answer starts with knowing the question, the exact words, the real ones people are typing right now. Tools like AnswerThePublic.com pull those questions from the wild right now. So if you match them, answer them in their language, that's how you get paid. And AnswerThePublic's AI does it all for you.

Answer-ready content begins with mapping the exact questions people ask and answering them in the language they use; rankings alone are not a complete AI visibility strategy. Main topics: answer ready content.

AI rewards brands that answer the exact questions people are typing r...


Watch this if you have no idea how to rank higher on Google. Go to neilpatel.com/website-traffic-checker, type in your website, scroll down to keywords, click view all, and sort by volume. Any of these with a position between 11 and 20 is a keyword you're ranking on the second page for. So add frequently asked questions or original data about your business to the page, add some links to it from high-performing pages, and you should be able to nudge it to the first page. If you have Google Search Console set up, you can use that instead. And comment SEO if you want help ranking higher.

Striking-distance keywords in positions 11–20 can be prioritized for page improvements rather than treated as net-new content targets. Main topics: Striking-distance keyword optimization.

This tool exposes how to rank higher FAST Go to neilpatel's website t...


If you build WordPress websites for a living, then WP Rocket is one of those plugins that can turn you into a rockstar with your clients. One of the easiest ways to make a WordPress website instantly feel more professional is to make it load faster. This is why WP Rocket is the only plugin I use on client sites to improve speed and performance. Gives you one simple dashboard to manage things like caching, file optimization, lazy loading, preloading, and a lot of the other performance jobs that normally slow a WordPress website down. What I love about it is that you don't need to turn speed optimization into some massive technical project. You can start simple, test as you go, and build up the settings properly. Start at the top, enabling the settings one by one, and then test the front end. If all's looking good, then you can test your performance results using their brand new built-in Rocket Insights feature. I took a site this week from 32 out of 100 to 100 out of 100, and now it's lightning fast. I made a blog and a YouTube video walking through the whole thing step by step. I'll drop links to them in the comments if anyone's interested. So one quick word of warning, I wouldn't blindly turn everything on and then just hope it works. Especially anything JavaScript related, cause that can sometimes break your site. The key thing is is to never panic if anything looks broken, just revert the setting that you've just done. Or you can add that section to the exclude box...

If you build WordPress websites for a living, then WP Rocket is one of those plugins that can turn you into a rockstar with your clients. One of the easiest ways to make a WordPress website instantly feel more professional is to make it load faster. This is why WP Rocket is the only plugin I use on client sites to improve speed and performance.

Gives you one simple dashboard to manage things like caching, file optimization, lazy loading, preloading, and a lot of the other performance jobs that normally slow a WordPress website down. What I love about it is that you don't need to turn speed optimization into some massive technical project. You can start simple, test as you go, and build up the settings properly.

Start at the top, enabling the settings one by one, and then test the front end. If all's looking good, then you can test your performance results using their brand new built-in Rocket Insights feature.

I took a site this week from 32 out of 100 to 100 out of 100, and now it's lightning fast. I made a blog and a YouTube video walking through the whole thing step by step. I'll drop links to them in the comments if anyone's interested.

So one quick word of warning, I wouldn't blindly turn everything on and then just hope it works. Especially anything JavaScript related, cause that can sometimes break your site.

The key thing is is to never panic if anything looks broken, just revert the setting that you've just done. Or you can add that section to the exclude box.

So if I ever have to speed up a client's WordPress website, then WP Rocket is by far the easiest tool that I've used to achieve that.

A WordPress performance workflow should enable optimization settings incrementally and test the front end after each change, especially for JavaScript controls. Main topics: wordpress performance.

This is the easiest way to make your #wordpress #website lightening f...


If you're a local business, do this right now. Open Google Analytics, click admin at the bottom left, scroll down to product links, and you'll see Google Business Profile links. Then just click link, choose listings, select your profile, and submit. Then click on reports and you'll see a new business profile tab right here. Now you can actually get real data from your profile that's normally hidden. Save this and follow for more.

Linking an eligible Google Business Profile from Google Analytics can expose a Business Profile reporting view for audit and measurement. Main topics: Google Business Profile measurement.

This free trick shows you hidden Google Business Profile data and unl...


Here's how to see hidden Google Business Profile data. Open Google Analytics, click admin at the bottom left, scroll down to product links and you'll see Google Business Profile links. Then just click link, choose listings, select your profile and submit. Then click on reports and you'll see a new Business Profile tab right here. Now you can actually get real data from your profile. That's normally hidden. Comment SEO, if you want to help rank and ire.

The creator provides a navigation path for linking a Google Business Profile in Google Analytics and then looking for a Business Profile report. Main topics: measure-ai-search-visibility.

NEW Google Business Profile Update! You can now link your Business Pr...


There's a handful of things that AI uses to decide if it should include your business in an answer. Most people do none of them. Here's four that will help your business. Most businesses think they're being smart by getting AI to brainstorm and write content for them, but that's just generic content and blends them in and does nothing for them. The ones that get picked are the ones that use their own unique data, client case studies, examples, stories, the things that make them them that nobody else can copy. And they don't bury the answer deep down in the middle like some boring recipe post. They put it straight at the top so that AI can easily pull it into its source. But none of that works if you just focus on chasing one keyword. You have to go after and own the whole topic and be a subject matter expert on that with external people talking about you. This is what allows you to show up everywhere in AI search when people ask. Follow for more tips to help you dominate AI search.

The few things that decide whether AI ever recommends your business. AI recommendation readiness depends on unique data, answer-first structure, topical ownership, and external people talking about the business. Main topics: AI recommendation readiness factors.


If you're a local business, check this right now. Go to bing.com slash webmasters, hit Get started, create an account, then grab your site from Google Search Console, and boom. Click on AI performance, and you can see the keywords you're showing up for and the pages that are getting recommended. If you want more help showing up in AI results, comment SEO.

SEO workflows benefit from specific research tools for keyword discovery, historical checks, backlink triage, citations, and search visibility diagnostics. Main topics: SEO research and tooling workflow.

This free tool shows what AI is recommending you for! Bing powers Cha...


1 saying something new we call this information gain it's a gap between what AI already knows versus new information you're giving it two is answering in the first 100 words AI wants an answer fast and to pull it out quickly to users so to users frankly so it's important to have that three is getting cited by big authoritative websites either in your niche or big publications like forms this is largely the goal of digital PR four is using your own original data having original data feed into that information gain stuff and it's so freaking underrated right now 5 getting good reviews that describe what happened so if you say that we did a website migration if you have a review that says we have an excellent website migration that's a double thumbs up 6 is having matching details your name address and phone number needs to match everywhere on the internet 7 is having real authority and credibility in your website that means in your about page having your team names photos credibility everything like that 7 is own the topic not the keyword it's not about keywords anymore it's about owning a topic and being a subject matter expert in that topic 9 is having very specific pages that match the search intent so if you have a page on case studies or a page about a specific service you can't have just a general services page or a general gallery you need to have a page for each specific thing 10 is author BIOS on all your blog post it should have an author bio by who wrote the article and that should be a real person on your website not just a company name or admin or something.

The 10 AI Search tactics that actually get a business found in AI. The creator recommends a dedicated page for each specific service instead of relying only on a general services page or gallery. Main topics: answer-ready-service-page-checklist.


So winning your own page is maybe a quarter of the job. The other three quarters happen out of your own website on pages AI already trust. Three places dominate right now Reddit. It's one of the most dominant and cited sources across major AI engines, whether it's Google, Gemini, or even chat. GPT. Review sites are massive as well. Brand profiles on G2, Kaptar, and Trustpilot get cited far more often than brands that aren't on them. And the roundups like the best running shoes for flat feet or other top alternative to lists, AI leans on those constantly. So the move isn't writing more blog posts, it's getting your brand mentioned in the places AI already pulls from. Run your category questions through Uber's AI Visibility Report. It shows you the exact sources AI is citing. That list is your outreach plan. Get onto review platforms, get into roundups that are already winning, show up in the communities where your buyers already ask questions, match the moment on your page, and earn your name in the places AI trusts.

The creator recommends turning the sources cited for category questions into an outreach map; the passage does not establish that any named platform is universally dominant or... Main topics: measure-ai-search-visibility.


There's so much AI content that's, you know, coming out, um, AI blogs, AI information, um, that, uh, it's kind of hard to disseminate between what's, you know, pure and what's not. You know, there's now AI summaries being written with AI ads, but when it comes to local businesses that have an advantage, um, I think this is really optimistic for, you know, the things that can't be invented if we just use AI, everyone is just gonna be exactly the same. So what we need to do is like lean into these actual real life differentiators that are to do with our offering, how we engage with our customers, the feedback that we get. So there's something that is like so refreshing, um, about all of this. Uh, just be like a genuine good local business. Like what? I like, I mean, I know, I don't know. What do you mean? I just like, just care about your product, your service. Yeah, don't do that. Just write a listicle. I just, just write some listicles. That's all you need. Publish FAQ. I know. Haha. Yeah. Oh, thank you. Thank you. Thank you. Thank you.

The creator recommends differentiating a local business with real offering details, customer interactions, and feedback rather than relying on generic AI-produced material. Main topics: answer-ready-service-page-checklist.

AI is eating itself, and that’s good news for small local businesses....


This effect looks way more complicated than it actually is. I made it in Adobe Express, and I've partnered with them to show you exactly how. First, record a video of yourself talking to the camera. Then you're gonna take a few screenshots of the video. I'd recommend at least five. Upload the screenshots into Adobe Express and place each one on its own page. Then use Remove background to cut out the background and the erase tool to erase everything except for your head. Repeat this process for all of your screenshots. This is optional: add a filter if you want a specific look. And now it's time to animate them. Create a new mobile video project. Copy and paste each floating head into the project, which will then place them on separate layers. Now adjust the timing of each layer. Each floating head is going to be point one seconds long. And super important, be sure to stagger your floating heads so that each one starts when the previous one ends. Record your voice over and then duplicate your floating heads until they match the length of your voice over. From here, you can add in a background using Adobe Express's media, and that's it. You have just created a floating head animation. Ready to create something just like this? Check out Adobe Express for free.

Creative production improves when tools are chosen for the specific editing, prompt, design, or repurposing job instead of as generic software. Main topics: Creative production tool workflow.

Have you seen this animated talking head effect?! Think it looks way ...


Google has a section in their spam guidelines called keyword stuffing. It refers to the practice of filling a webpage with keywords in an attempt to manipulate rankings in Google, repeating the same words or phrases so often that it sounds unnatural. This is Chewy's Dry Dog food page. The term dry dog food is used 87 times. This one block paragraph has it used 19 times. The absolute most important places to have the keyword are in the page title, the URL. Slug chewy doesn't even have it in their URL. Slug. Chewy gets away with worse SEO because its authority is 78 out of 100. Their rankings organic traffic it for a few days, but then it dropped down. In June 2025 they were at 98,000 clicks a month from Google. Now they are at 21,000 clicks a month. They don't show on page one of Google for dry dog food. A lot of people try to learn SEO from big brands. That is a mistake. If you want to beat the big brands, read over Google spam policies. Put your target keyword in these places and invest in backlinks that pass referral traffic to build your authority. Keep in mind that most of the behemoths in your industry are easy to unseat.

The source describes keyword stuffing as repeating keywords so heavily that page language becomes unnatural; it does not establish the passage's separate traffic or authority... Main topics: answer-ready-service-page-checklist.

Google has a section in their spam guidelines called Keyword Stuffing...


Someone is ready to buy exactly what you sell, so they ask AI who they should go with. But your name didn't come up. So you didn't just lose a click, you lost a sale. For 20 years, SEO is pretty simple. Rank car in Google, get more traffic and get more customers. But buyer behavior change. People are always opening up 10 tabs, comparing websites and reading every blog post anymore. A lot of them are asking ChatGPT or Google's AI, who should I trust for this? And now with over 60% of searches ending without a click, buyers are getting their answers before they ever visit a website. So the most important metric isn't just where you rank anymore, it's where you're cited. Because if AI mentions your competitors and not you, they get considered. If it mentions you, you get considered. And if you don't show up at all, you may never even know that the buyer was looking. That's why the new scoreboard is share of visibility. How often does your brand show up where people actually search? Now? Google, AI overviews, chat, GBT, Gemini, Perplexity, Groc, Claude, all of it. Luckily, you can actually see this now. Go to ubers.com, type in your domain, you'll see where AI is mentioning you, where it's mentioning your competitors, where you're being left out, and wah, it's saying positive or negatively about you as well as your competitors. And it breaks down how to fix it because the Game isn't ranking No. 1 anymore. It's about getting picked when someone's ready to buy.

The creator proposes share of visibility—how often a brand appears across named search and AI surfaces—as a monitoring metric; the passage does not prove that a mention... Main topics: measure-ai-search-visibility.


Google's Gemini has the most insane advantage above other LLMs. I said to Gemini, look up my podcast on YouTube. How do I sign every single podcast off? Gemini read the transcript, got it correct. Here's Claude. Claude says, I couldn't find a clearly documented verbal catchphrase. I use the same exact prompt to have Claude look up the podcast. Same thing for ChatGPT. ChatGPT guessed and made it up. Gemini is the only LLM that can read YouTube transcripts. More and more people are getting their informational answers from YouTube. As a result, there are less niche blogs out there. The trend of informational content moving to YouTube is only going to increase over the coming years. If you want your YouTube content to be useful for ChatGPT and Claude, make sure you put in long, rich descriptions so your videos show up and so the other LLMs understand what's in your videos. You can also learn video SEO and a lot more with my SEO course at compactkeywords com.

AI visibility work depends on matching the right model, search surface, or answer format to the business outcome being optimized. Main topics: AI visibility and answer readiness.

Google's Gemini has the most insane advantage above other LLMs. I sai...