Alex Yarosh Get Free Snapshot

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@tjrobertson52 TikTok profile avatar

@tjrobertson52

2026-05-05

Businesses are manually checking ChatGPT for their brand. There's software for this and the real insight is in the citations, not the mentions. #AISeo #AISearch #SEOStrategy #GEO

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Ranking an AI search is so easy right now, and I think the main reason is that no one's tracking it.

When I talk with businesses that are doing SEO, or even other SEO agencies, they often talk to me about manually going to Google's AI mode or ChatGPT and asking about their industry to see if their brand is mentioned. And that blows my mind when the software exists to track this at scale and not just to see where your brand and your competitors are mentioned, but why.

So I want to talk about the software we use, why tools like hrefs and Semrush aren't sufficient, and how this data informs most of our strategy. But first, if you're thinking, why should I care so much about ChatGPT and Google's AI mode, Google's already told us that all search will be AI search soon. I think it'll happen by the end of the year.

And when you start tracking AI search results, you see they're quite different from traditional search results. So while traditional search isn't dead yet, I do think our focus should be on AI search entirely.

Now, if you're using tools like a Trex or Semrush, those will show you how often you show up for common search terms in the AI results. However, the vast majority of queries or prompts in AI search are not common. People are providing a lot more context when they use AI, and even if they don't, the Models have a lot of information on you and they're using that to inform the search.

So unfortunately, there's no way to know exactly what people are searching for in AI. Even if reliable data did exist, it would just be billions of unique prompts with no good way to organize them. However, most businesses have a pretty good idea of what people are searching for before they hire a company like them.

The goal should be to gather a representative sample of prompts people might type into AI. And in most of those prompts, you should include a demographic or a use case. Something like, I'm an X looking for y to solve Z.

Can you recommend a company? The idea is to simulate the information an AI would have when it does a search and returns a recommendation.

Like 50 or more prompt examples like this, you can use AI to help you and then start tracking them every day. In ChatGPT, Google's AI Mode, and Google AI Overview, we use peak that AI. I'm a big fan of their team.

But there are a lot of tools to do this.

Since these are probabilistic models, you want to run these prompts many times. We run them four times a day at first and then go down to once per day. And this will, of course, help you see how visible you are in AI recommendations.

But the real magic is in the citations.

These tools will tell You the exact pages that were cited for each prompt, and the content on those pages determine whether you or your competitor is recommended in the final output to the user. Then you just need to figure out how to get your brand mentioned on those pages, or what is almost always easier is just replace those pages by creating your own version of the page on your website or a third party platform.

Source Intelligence

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AI citation data matters because cited page content influences whether a brand or competitor is recommended in the final answer.

AI citation diagnostics · asserts

  • Track cited URLs per prompt cluster and look for gaps where the brand can earn inclusion or publish a better cited page.

Questions this source answers

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What is this source mainly about?

AI citation data matters because cited page content influences whether a brand or competitor is recommended in the final answer.

What should an operator take from it?

Track cited URLs per prompt cluster and look for gaps where the brand can earn inclusion or publish a better cited page.

Which topics does it connect to?

This source is connected to AI citation diagnostics.

What public evidence supports the record?

y good idea of what people are searching for before they hire a company like them. The goal should be to gather a representative sample of prompts people might type into AI. And in most of those prompts, you should include a demographic or a use case. Something like, I'm an X looking for y to solve Z. Can you recommend a company?...