NEW Claude AI SEO Loop Runs 24/7

So today I'm going to be walking you through our Rank Loop Engine, which is a new system we've been using to build our websites, like you see right here, this one, and this one. Three separate case studies of different websites growing with AI SEO loops. And this is a powerful system where you basically just have an engine running, you are the architect, and then everything is built around that. So the powerful thing about this is, when you're ranking websites, you don't really need to be involved.

And this is a powerful setup that I'm using to build more and more websites in a way that, number one, is high quality and is actually just documenting the work that I actually do in a way that's useful for everyone else. But number two, also allows me to grow and scale more SEO websites. So this is what I would call an SEO loop. It ranks itself so that the work I'm already doing becomes the website that ranks.

And the powerful thing about this is we can use Google Search Console to pull the keywords. Agent operating system is going to write tomorrow's content. Index exceptional actually gets it indexed on Google. And the next day, it just runs again and again with zero extra SEO work.

So this is how the whole system works, as you can see. I'm going to walk you through and show you an example of a website. We're actually doing this for two different websites at the same time right now. And they're both unique, but they both just document the work that I do and then help us rank for more keywords.

So if we have a look, for example, this website right here, GoldieBench, all of the work that I do when I'm studying and testing out agent websites or agent models or APIs, et cetera, we document, like you see. So it pulls in all of the information, all of the builds that we're creating right here. And then it creates a unique page about this. Now, the interesting thing about this is when you're doing this, it's unique information that has never been seen before.

And Google likes that because it is information gain. You are adding something new and valuable to the internet that's never been seen before because you are using your case study data. You are documenting what you're building. You're probably working on something all day, too, that you also want to rank for.

So let's say, for example, you have an SEO agency. Well, if you have an SEO agency, you can document the work you do for that SEO agency. And then you can rank for SEO agency-related keywords. And the whole system fuels itself because your agents are just looking at what you're doing and creating a website about it.

So that's how we created this whole GoldieBench website, like so. And we've also done the same thing for AgentOS Guides. AgentOS Guides, it basically creates a guide on every system that I set up, every framework that I talk about. Turns that into a page, as you can see right here, a beautiful guide with all of my own numbers and all of my own interesting case study data.

Has CTAs relevant to that page from our content. And then we can use that to rank with SEO as well. So these are two different websites of powerful systems that we're setting up where we can rank this content. The other cool thing about this one particularly, this benchmark website that we've created, is that it automatically creates these compare pages.

So someone is, for example, trying to compare, let's say, Fusion versus Fable 5 or Fusion versus Sakana. Well, whatever we're creating, it creates a SEO optimized page with actual case study data, showcasing side by side what we've tested out and how these agents perform against each other, which is what people are actively looking for, but can't find because it's such new information. And so if we can publish something quickly that is documenting the stuff we've just worked on, well, that's a new trending topic we can rank for. And I don't need to do any extra work.

It's all documented by my AI agents inside this powerful engine. I'll walk you through how it works step by step and all the tools that we use as well in a second. So this is interesting as well, because before I was doing like the SEO work twice. Let's say, for example, I tested a new AI model and this applies to whatever you do in whatever industry.

If you're, for example, a gym trainer and you're testing out new equipment, well, that applies to you. If you are, for example, running a marketing agency and you're setting up a new system, well, that applies to you, right? This all works to whatever you're working on. And that's the great thing about it.

It's fully customized and it positions you as an expert as well, because, for example, if you're creating a benchmark website in the AI industry, well, there's not many of those around and there's not many of actual real case study data that isn't just like programmatic SEO. This is like genuinely useful, valuable, interesting stuff that's never been seen before. And so the great thing about this is you are positioned as an expert and you're positioned as someone who's more high status than just your typical sort of SEO generic blog website. So before I'd be doing like the SEO work twice, I'd test the model, then we'd write an article about testing the model.

And I'd actually have a team of two different virtual assistants doing this before. Now I just have my agents doing this for me. Now also like every week, I'd have to do the keyword research in Ahrefs or get my team to do it. Guess what people want?

Write a thing, wait three months, hope Google ranks it. And most of it never ranked, right? And the stuff that did rank had already moved on. And also the problem with that is like, if you've got humans in the loop, well, guess what?

You're gonna have to quality control their work. And sometimes their work is not very good. So what I did instead is wire the loop and the work documents itself now. So when I test a model, the agent operating system captures it and that becomes a versus page, a task page and the homepage matrix update.

So if we have a look, for example, at this website, we have the homepage updated, we have individual model pages. So this is just something I created yesterday and we've already set up a full page for it. They can rank pretty quickly. It's all documented with my unique information.

So these are all builds and tests that I've run for each of the things that I've actually created yesterday and it's automatically set up inside the system. Not just that, but we also have these compare pages where if people are searching for versus keywords, so for example, let's say Fusion Versus or Fable 5 Versus, or let's say for example, Claude Opus 4.8 Versus, right? So you see all these versus keywords here, we can rank for them and we've actually got useful, interesting data that's never been seen before. So that's how the system works.

Now, when I test the model, automatically gets set up and then also tomorrow, if I check Google Search Console, it shows me the new keywords I'm starting to rank for and then the agent OS can create more content around those keywords automatically. And then what we can do from there is index exceptional, actually automatically indexes the content. So the next day we get more rankings, we get more keywords and it's an infinite loop. And the interesting thing about this is I didn't add an SEO job to my week.

The SEO is a by-product of the work I am already doing because it's documented automatically. Now, if you want to indicate what is an agent operating system, this is my agent OS system. And then if you want to indicate what is the SEO keyword research you're doing here, so basically, as you can see, we can pull in any of my websites and this is all connected to my Google Search Console data via the API. And so, for example, if we look at the AI Profit Boardroom and then we're saying, right, okay, I need to rank for more Hermes related keywords.

That will get me more traffic to my communities. Okay, great. Let's run the research right now. What it's going to do is look through Google Search Console, analyze the queries, look at the dates, give me topic suggestions, look at the impressions and the clicks inside my Google Search Console.

And then from there, it's going to prioritize and organize and look at which pages are the best to go for, which keywords are the best to go for. Now, as we rank for more keywords by doing the loop system I've shown you earlier, we get more data on what we can rank for and then that gives us more ideas on what we can create in the future. And so it's an infinite loop of new keywords, new data, more content, and I don't have to do any extra work. That is amazing.

So, for example, if we have a look here, for example, Hermes Desktop Installation Guide, that is one of the keywords we are ranking for. So we can actually create a fresh page because if you look at this, we've got 123 impressions, but zero clicks. So we have a page for it. It's not very relevant to the topic.

And so we could make it more relevant. We'll get more clicks and we'll get more traffic. So let's use that topic. Now what you can see here is it pulls in the keyword from our research.

It creates the URL automatically. And all we need to do from here is we just plug in a case study. So if we've got this case study right here, ready to go, we can now click generate five articles and that will auto deploy to our five websites in the background. So you can see it begins to start doing the work.

Now, once it's completed the work, that will then get deployed to our websites, as you can see right here. And we get history of what we've created and what we're trying to rank for. So you can see here, it plugs in the sessions as history of the pages we've deployed. And that is how easy SEO is right now.

And again, the case study data is automatically updated by my agents. The content itself is automatically created and deployed to my websites. The loop engine is already built so I could just come back to it anytime. And tomorrow when we come back, we'll have even more keywords that we're ranking for because we've created more content that is gaining more data.

And bear in mind, when you get this data, it's not based on the amount of clicks. It's based on the amount of impressions. So it's showing you interesting stuff where like, for example, you might be getting impressions for that keyword, but you don't have a dedicated page for that keyword. So how would you create a dedicated page?

How do you find the keywords you're not already ranking for? You use a system, right? It's all set up inside one beautiful positive feedback loop where the more content you create, the more impressions you get, the more keyword data you get, and the better this whole system becomes. And so that's how powerful this is.

And literally in one click, we can now generate more content. That's running in the background. I don't need to do anything else. It's mind blowing.

What we also have is this memory section here. And so when we're using our AI agents like this, this information actually gets logged automatically into our Obsidian vault so that we train our agents on our context, our business, our goals. We can visually see it right here inside our memory galaxy, and everything is automatically tracked to save inside one place. And that is absolutely amazing.

So you can see how powerful having a system like this is. Now let's come back to the setup here. You might also be saying, okay, this sounds difficult. This sounds technical, blah, blah, blah.

You actually see, for example, one of our members, Paul, he'd never used NHSN before. He set up a system where he started ranking within 90 minutes, number one on Google, using this sort of system. So there's some people getting huge wins. You see, for example, Viash and Afi as well, they're using our mission control system that I've just showed you, and they're getting amazing results as well.

And the same, for example, with Mike. Mike set up his mission control here and he's getting awesome results too. So you don't need to be technical to get results to this. You can just implement the systems that I've shown you and we've got the agent operating system inside the app off the bottom if you want it.

But the main thing to note is if you're watching this, just promise yourself one thing. You're gonna finish this guide and you're gonna install one layer of this loop before you sleep tonight. Just one, because the moment you stop writing SEO content manually and start letting your real work document yourself, your whole content workflow changes. The people sitting still are still researching keywords every week.

The people who run the loop today are the ones who will look back in six months and say, I'm never gonna write SEO content again, but it's gonna be better than what I was previously writing. That is a transition. So if we look at the whole loop in one single picture, this is the engine and it's five stages, one continuous cycle, and you can watch the data flow. So your real work enters on the left, it gets automatically documented, that ships to your site, gets listened to via Google Search Console, and the new keywords loop back as tomorrow's content brief.

The dots are real data moving through the system. That is how this all works. So you just do your normal work that gets documented into the agent operating system. How?

Because you've got the memory galaxy that's automatically logging everything you do. Then you can ship the new content that you create to Netlify, which means that you don't need to log into the website, the AI agents can publish automatically for you. You can also get an API token and log in details for WordPress and give that to your agents instead. From there, it's gonna index automatically with index exceptional and Google Search Console will listen to get tomorrow's keywords, which will feed back in to tomorrow's SEO automatic, right?

And so there's five stages, work, document, ship, index, listen. It's running on a continuous loop. The pink dots are Google Search Console keyword data flowing back to inform tomorrow's content. Pretty powerful system.

And so if you look at the old way versus the loop, most SEO advice gives you more work. The loop replaces the work automatically. Your existing output becomes the content side-by-side. So if we look at this, you might spend like six hours a week doing SEO, even if it's with a chat GPT or Claude, and you might spend a lot on tools as well.

So the old way was like opening an address, filtering by volume and difficulty, guessing which keywords you can actually rank for, competing with everyone else using the same tool, writing the article from scratch, or hiring a team, waiting three to six months to see if Google picks it up. If it doesn't rank, you pivot. If it does, you've already moved on. And then you repeat that every week forever.

Not a good system. The new way is that you have no extra work to do. You don't need to pay for keyword tools or subscribe to Ahrefs or anything like that. You do the real work you do anyway.

So for example, it could be like testing a new system. It could be, for example, setting up a new workflow, whatever you work on day to day. The AgentOS with the memory system automatically documents it and adds that inside your Obsidian vault. That auto-deploys to your website as a new page with that case study data that's automatically documented.

It auto-submits the new pages you create to Index Exceptional and then you get indexed in Google in hours, not weeks. And then tomorrow you pull Google Search Console, you see the keywords you signed to rank for and the AgentOS writes the next round of content around those exact keywords. And then you just rinse and repeat every single day with zero extra SEO work. So if we have a look, for example, we've got two different systems for this.

We have the GoldieBench website that's doing pretty well with this system. And then we also have the setup where we are using the AgentOS system as well. However you want to use it, you can use it. However you want to do this, you can do it.

This is working in every way that you look at it. I mean, here's another example, right? It's pretty powerful stuff. And so this was something that we talked about yesterday.

It's automatically documented and everything that we're talking about just works together as one powerful system. Now, some people will say, this is just AI content. Google doesn't like AI content, but the content is first party information wrapped in narrative. Every page, for example, on GoldieBench.com is built from a real test I've run with real screenshots, real scores, real comments.

That's information gain, which is exactly what Google's EAT guidelines reward. And you've seen the results on this website and this one too, right? We're getting awesome results with this. So the main thing to note here is like generic AI fluff.

Yes, not very good, not very good at all. But if you're using real data structured by AI, well that creates a whole moat because the loop's whole moat is that the source material is yours. It's not GPT's. You know, this is new information gain that you're creating.

So the Goldie Rank Loop Engine, there's five layers, each one removes a step that used to take hours of manual work. Together, they produce a website that grows itself. So step number one is the bit that you do anyway, testing the tool, building a project, comparing models. And just to recap here, if we show you, for example, the growth of the AIprofitboardroom.com, you can see how it's growing in terms of SEO traffic.

Now, if we have a look at this website, what is the content that we are publishing here? Well, we are publishing content of what we've actually tested. We've got first party data. We have our case studies, our experiments plugged in and set up on the system.

So everything that's here is just work that I've done already, just documented as a case study inside a blog post that actually ranks as you can see right here. And that's the power of this stuff. That's how interesting this gets. Now, if we come back to the loop engine, we have the documenter.

So AgentOS, it captures what you did, which means it looks at what you created from your Obsidian vault and everything you do with your AI agents gets automatically plugged into the system. So all these dots are different memories and information about me and who I am. So if we scroll down here, you can see, for example, it understands me and it links all of my memories together. Now, this is great for giving your agents context.

So for example, we go to Claude, he's got context, but then also it has memories automatically every time I use my AI agents. And so everything is plugged in one place where you can come back to all of our memories and then we can use that to create new pieces of content relevant to us. From there, we have the publisher. So it can auto deploy to your website.

This is hands off. The page is live with minutes of the work being done. There's no content management system. There's no logging into WordPress.

There's no training a team to do this for you. You don't need to do any of that. It's just handled automatically with this system, as you can see. So if we have a look, for example, here, this is the article that we just created as I showed you before.

Now, these articles that we're building, they're all based on my case study data, again, automatically documented. And so this whole system builds and automatically creates useful, unique content on five different websites that we then index automatically with Indexceptional. And we can see the full history of it over here. How powerful is that?

And that was done in the background whilst I was talking to you. So it's fully hands off. And then you do have the indexer. So Indexceptional basically indexes this content on Google when a new URL lands.

So pages get crawled and indexed very quickly. And obviously that helps speed everything up. And then you also have the listener. So what this is gonna do, if we go back to SEO and we go to the research tab, this is listening for new keywords that we're ranking for.

So for example, if we type in OpenCore here and we run the research, this is going to run research from our Google Search Console based on keywords that we're getting impressions for, but zero clicks for. So we need to create this new separate dedicated page for that keyword. So when we look through the data here, we've got a bunch of ideas that we know people are searching for because we have the data, but we also know we need a new page for because we're not ranking for it currently, or getting good traffic for it. And so this all feeds into each other as a feedback loop, which is crazy powerful when you think about it.

And this is basically how we built GoldieBench. It was by accident. You know, I didn't mean, I didn't plan to create this page. It was just like, okay, well, we've got all that data there.

We should probably organize it into a nice place where people would actually find that useful. And a lot of people were asking me for this as well. So I was like, okay, let's just create this beautiful website right here with all the experiments that I've done. And then it starts ranking as well.

So it even talks about our methodology. It talks about the tests we've done. It talks about the models that we've created, et cetera, super powerful stuff. And it's just one loop with many sites in the same engine.

So one brain from AgentOS feeds our websites as you saw a second ago, which is pretty powerful. So once the loop is wired, running it across more sites is basically, there's no effort from me required, right? AgentOS knows how to pull Google Search Console data for any property that I have, writes it to any Netlify site, submits it to Index Exceptional, and the loop just scales horizontally because every new site is another set of potential keywords we could rank for. And that just loops around in parallel.

And so we have a bunch of websites. We can create content against them very quickly. And also some people say, well, I don't have time to add SEO automation on top of everything else, but that's the point. The loop adds zero time on top of what you're already doing.

So the work that ranks a site is the work that you'd be doing anyway. And documenting it takes seconds because the AgentOS does it as you work. Tomorrow's content writes itself automatically from yesterday's Google Search Console data. The only extra is 30 minutes of like a one-time setup, you know, wiring AgentOS to your systems.

But after that, the loop runs automatically. By the way, if you want to learn more about this stuff, we actually have a free course, link in the comments description, where you can learn the SEO fundamentals. And that has 260 free lessons on SEO. We also have a free SEO strategy session available at Goldie.agency if you want to learn more about this stuff.

So let's talk about this. Again, some people say AI-generated content doesn't rank. I've shown you multiple examples of websites ranking really well with this system. And again, we're using our own data.

This is information gain. So for example, Goldie Bench Ranks, because it has loads of real demos. And it's something that nobody else can copy because it's my own documentation. Also, some people say, well, I need to do proper keyword research before you create any pages.

But the difference here is that you are looking at Google Search Console. So Google Search Console finds the data for you. It's doing the keyword research for you based on the actual data that you have already. Some people say, well, this works for your AI systems, Julian, but my niche is different.

But the loop is niche agnostic, right? Because you can swap test a model for doing a client call. You can swap test a model for publishing a case study, adding a new feature, reviewing a tool, running an experiment, setting up a new system inside your business. The work changes, the loop doesn't.

So you could run this for SaaS. You could run this for a coaching business. You could run this for an agency. It doesn't matter.

And don't take my word for it. We have over 187 pages of testimonials from people inside the AI platform. Rick set his agent OS system up in like 30 minutes. Loads of people winning with AI automation from the community.

So I know that if we can all do this, you can too. You don't need to be technical to do this. Other people say, well, my site is brand new. Google Search Console won't have any data to pull.

So in the first seven days, you can just create content and then you can get the data later. And that's basically it. That is a whole system that we've talked about. So today you have learned how to document itself.

So you stop writing SEO content. The agent operating system captures your real work as it happens. You learned how to stop hitting publish because Netlify automatically deploys the content. You learned how to stop waiting for your content to index because you can use index exceptional.

You learned how to stop guessing what to write because tomorrow's content brief comes from yesterday's striking distance. Keywords, so Google Search Console listens. You also stop starting from zero each week with every day's work, feeds the next day's rankings with this loop system. And you also learned how to create a first party mode because you stop competing with AI fluff at this point.

You've got real data. You've got real documentation from the work that you do. And that is, you know, what Google's EAT system rewards. And you also stop being your own bottleneck because the same agent OS can run across five different websites in parallel as you've seen.

I used to stop building isolated pages, right? This whole system that you create in means that all of your websites rank together. And so the way that I would look at this is like, stop adding SEO to your week and your work. Start letting your week document itself.

That's what we're doing here. Now, if you want a free SEO strategy session, you can get that with Goldie.agency. Link in the comments description or go to Goldie.agency. And we can actually look at your website, give you an SEO game plan, and you can get a free one-to-one SEO strategy session to rank your website based on the systems that we test.

This is brand new stuff. If you're watching this, like you are ahead of 99% of SEOs because you already see where the future is going. And you've seen how to create systems that automatically loop and feed and then improve themselves and rank themselves. And also if you want the full system that I've shown you today, you can get that inside the AI Profit Boardroom.

Link in the comments description or go to the AIProfitBoard.com. And you can get the agent operating system inside the classroom if you go to the new daily update section. Inside the community, you can ask questions, get help and support in real time, and all sorts of cool stuff there. Inside the calendar, you can jump on weekly coaching calls and ask questions, share your screen.

And I personally answer questions inside the community every single day with a video tutorial. Plus inside the map, you can actually meet people in your local area who are doing AI SEO like you. And also inside the classroom here, we have a full section on AI SEO automation based on what's working for me right now. So hope to see you inside there.

Cheers for watching.