How to Track Your Brand's Visibility Inside ChatGPT and AI Engines

Q: How to Track Your Brand's Visibility Inside ChatGPT and AI Engines

AI visibility is invisible in your analytics, so you have to measure it directly: ask each engine your buyers' real questions, repeatedly (outputs vary), and record whether you are named, in what position, with what sentiment, and which sources are cited instead. Turn that into an AI Share of Voice you track over time against named competitors. A one-off check tells you where you stand; a running tracker tells you if you are winning.

You cannot manage what you cannot see, and AI visibility does not appear in Google Analytics. Here is how to actually measure whether ChatGPT, Claude, Perplexity, and Google AI answers name your brand, and what to track.

Amrita SarkarMarketing, Word of GPTJuly 27, 2026

Marketers are realizing there is no dashboard for this. A thread in r/OpenAI asks plainly how people are tracking brand visibility inside ChatGPT, and the honest answer is that most are not, because the tools they own measure rankings and traffic, not answers. Here is how to actually do it.

Why analytics cannot help you

When ChatGPT names three vendors in an answer and the buyer never clicks a link, nothing lands in your analytics. There is no impression, no session, no referrer. The activity that decides the deal happens entirely inside the model. So you have to go and ask the model.

What to actually measure

Mention rate. For each buyer question, does the engine name you? Sample each question several times, because model outputs vary run to run.
Position in the answer. Named first, or buried at the end after three competitors?
Sentiment. Recommended warmly, listed neutrally, or flagged with a caveat.
Citations. Which sources did the engine pull from? This is the gold: the same twenty or so URLs usually drive most answers in a category.
Competitor share. The same measures for your top three named rivals.

Turn it into one number you can track

Roll the mention data into an AI Share of Voice: how often you are named across engines and questions, as a percentage, against named competitors. That is the number to watch move. A snapshot tells you where you stand today; a running tracker, sampled regularly across ChatGPT, Claude, Perplexity, and Google AI Overviews, tells you whether your work is compounding.

Do it across engines, not just one

Each engine answers differently and cites different sources, so tracking only ChatGPT hides half the picture. Measure all the major engines the same way, on the same questions, so the comparison is honest.

The fastest way to start is a baseline. Run the free visibility check: send your domain and a few competitors, and we will show you your current AI Share of Voice and the sources the engines cite in your category.

Found this useful? Run your own domain through our tracker, the fastest way to see where you stand.

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