Yes. An entire category of AI visibility tools now tracks what ChatGPT and other assistants say about companies, from enterprise platforms like Profound to lighter tools like Otterly, and audit-first services like YouGotRanked. The more useful version of the question, though, is category-level: not just what AI says about one brand, but who it names, in what order, for every buying prompt in a space.
That category view is where the actionable findings live, and it works differently than most people expect.
How tracking works when no logs exist
Nobody, including the tools, can see what users actually ask ChatGPT. AI providers do not publish prompt logs, and there is no Search Console equivalent for ChatGPT, Perplexity, or Gemini, a gap unpacked in why there is no Search Console for AI prompts. So tracking means systematic sampling: tools send representative buyer prompts to each provider on a schedule, record the answers, and score which companies appear, at what position, with what sentiment.
That makes methodology the whole game. A tracker is only as good as its prompt panel, its provider coverage, and its consistency over time.
A brand check versus a category audit
A brand check answers one question: does AI mention us? A category audit answers the questions that actually set strategy: who owns the short list for each prompt type, how concentrated the category is, where challengers are breaking through, and which sources keep getting cited to justify the picks.
The difference matters because AI answers are zero-sum short lists. Your mention rate only means something relative to who else is being named. A brand sitting at a 30 percent mention rate is thriving in a fragmented category and losing badly in one where the leader shows up in every answer.
What a category audit reveals that a brand check cannot
Run the full category through the majors and patterns surface fast:
- The real competitive set: AI often names companies you do not consider competitors, and omits ones you do
- Prompt-type splits: a rival may own recommendation prompts while you win alternatives prompts, which points to precisely targeted content
- Provider divergence: the short list on Perplexity rarely matches the one in ChatGPT, because retrieval and training data reward different footprints
- The source layer: the specific roundups and review sites cited across answers, which is your placement target list
- Sentiment framing: who gets called the leader, who gets the budget-option label, who always carries a caveat
Running one yourself
Manually: build a panel of 20 to 30 buyer prompts across recommendation, comparison, alternatives, and pricing intents, run them in clean sessions across providers, and log every company named. It is tedious but doable quarterly. Systematically: a free scan produces the competitor visibility matrix across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overview in one pass, and repeating it monthly turns the snapshot into a trend.
Audit your category in one scan
The free scan maps who AI names for your category's buyer prompts across five providers, so you see the whole board, not just your own square.
Frequently asked questions
How do I audit my whole category's AI visibility, not just my brand?
Build a panel of the buying prompts for your category, run them across the major AI providers in clean sessions, and log every company mentioned with its position and framing. Score the results as share of voice per brand per prompt type. Tools automate this: YouGotRanked's scan outputs a competitor visibility matrix across five providers from unbranded prompts.
Can anyone see what people actually ask ChatGPT?
No. OpenAI does not publish prompt logs, and the same is true of Anthropic, Google, and Perplexity. All tracking works by sampling: sending representative prompts and measuring the answers. That measures what AI says, which is the part brands can influence, rather than what users type.
What tools track what ChatGPT says about companies?
The AI visibility category includes enterprise platforms like Profound, mid-market trackers like Peec AI and AthenaHQ, lightweight monitors like Otterly AI, and audit-plus-execution services like YouGotRanked. They differ mainly in provider coverage, prompt depth, pricing model, and whether they only report visibility or also drive the fixes.
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