Why we made a free AI Search Mentions Tracker

Mentions in AI search are fascinating. They can also be misleading. And tracking them, by itself, is quickly becoming a commodity.

That is exactly why we built a free AI Search Mentions Tracker. Not because mention tracking is unimportant, but because it should not be expensive. The real value is what you do after you see the results.

The problem with "mentions tracking" as a paid product

A lot of tools sell mention tracking like it is the whole game. But the truth is: once the data becomes easy to collect, the price should drop to nearly zero. The market always moves that way.

• It is easy to replicate: run prompts, store outputs, summarize results.
• It is not truly "insight": it is observation, not a plan.
• It does not change outcomes: knowing you were not mentioned does not tell you how to fix it.
• It invites vanity metrics: more mentions do not always mean more pipeline or trust.

Why tracking mentions is interesting but not actionable

You can see that ChatGPT described your company in a weird way. You can notice that Gemini ignores you. You might even spot a competitor being recommended above you. Great. Now what?

Most teams get stuck right there. Because the gap between "what the model said" and "how to influence it" is the whole job. And that job is not solved by another chart.

So what is actionable?

Actionable means you can take concrete steps that increase the probability of being cited. In practice, that comes down to two things: making your website easy to understand for machines, and making your credibility easy to verify.

1) Fix the "machine readable" layer on your site

LLM systems do not "read" websites like humans. They extract entities, facts, relationships, and proof. If your site does not make those things explicit, the model fills the gaps using third-party descriptions.

• Clarify who you are: the exact company name, category, and what you sell in plain language.
• Clarify what matters: ICP, core use cases, integrations, and differentiators.
• Publish reusable answers: FAQs and comparison pages written in buyer language.
• Make discovery easy: clean sitemaps, consistent canonicals, no accidental blocks.

2) Build proof that assistants can safely repeat

Assistants are cautious. They prefer to cite sources that feel stable and verifiable. This is why proof beats clever copy.

• Case studies with concrete outcomes and timeframes.
• Customer stories that include roles, context, and constraints.
• Public docs, guides, and implementation details that show reality.
• Credible third-party mentions with staying power.

Why we made the tracker free

Because mention tracking should be the entry point, not the product. We want anyone to be able to check where they stand in AI search in a few seconds. No demo required. No paywall.

If the results are interesting, great. If the results are confusing, even better. That is usually where the real opportunity is hiding: unclear positioning, missing proof, weak machine readability, and competitors owning the narrative.

Try it, then tell us what you want it to do next

This tracker is a community tool. If you want one feature that would make it dramatically more useful, tell us. We will build what makes the next step more actionable.

And if you want help turning the findings into a real plan to outrank competitors in AI answers, ping us. That is the part most teams cannot do alone.