How to Track Whether AI Mentions Your Brand

There is no dashboard that ships with ChatGPT or Perplexity showing you how often they mention your brand. Google Search Console reports on classic search results, and it does not see what Perplexity said to someone who asked it the same question. If you want to know whether AI engines are naming your business, you have to go and check, and checking once tells you almost nothing, since the honest version of this is a repeated measurement, not a one-time lookup.

The method that actually works

Every credible version of AI visibility tracking, whether done by hand or through a paid tool, reduces to the same three steps:

• Fix a question set. Write down the 15-25 questions a real buyer would ask that touch your category, not your brand name directly. "Best project management tool for a five-person team" tells you more than "what is [your company]."
• Run it on a schedule. Send the same questions to ChatGPT, Perplexity, Gemini, and Claude on the same day each month. Same-day consistency matters because AI answers shift as models update, so comparing a Tuesday run to a Friday run three weeks apart introduces noise you cannot separate from real change.
• Log three outcomes per answer. Was the brand named at all, where it landed relative to competitors named in the same answer, and whether the engine linked to the site as a source rather than just describing it from memory. Mention and citation are different events, and only citation sends anyone to the actual page.

This is the same fixed-question approach behind what a GEO audit actually checks: the audit runs 25 buyer-intent questions across ChatGPT, Claude, Perplexity, and Gemini and reports on exactly these three outcomes, because a one-off audit and ongoing visibility tracking are the same measurement run at different frequencies.

Manual spreadsheet or a dedicated tool

A spreadsheet works for a small question set checked monthly. It stops working once you need to track dozens of questions across several engines every week, compare against named competitors automatically, or see sentiment on top of raw mentions. That is the job dedicated platforms are built for. Ahrefs Brand Radar, for example, tracks brand visibility across six AI indexes (Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot) and reports mention frequency, competitor share, sentiment, and cited source pages without you writing the prompts yourself. Otterly.ai runs a similar model focused specifically on ChatGPT, Perplexity, Google AI Overviews, and Copilot. Neither replaces judgment about which questions actually matter to your buyers, which is still something a human has to define.

What this will not tell you

Visibility tracking tells you whether and how often you are named or cited on the questions you chose to check. It does not tell you how much revenue an AI mention is worth, since no reliable attribution model exists for that yet, and it cannot predict future mentions, since retrieval behavior changes with every model update. Treat every run as one data point in a trend, not a verdict.

For the fuller picture of why AI engines choose to mention some brands and not others, see What Is Generative Engine Optimization?. If you want this measurement run and turned into ranked fixes rather than a spreadsheet you have to maintain yourself, that is what YaBaDo's GEO audit does.

Sources: Introduction to Brand Radar (Ahrefs), AI Search Monitoring Tool (Otterly.ai)