How do I find out what questions AI assistants are actually being asked about my type of business?
TL;DR: Nobody outside OpenAI, Anthropic, Google, or Perplexity has direct logs of what people ask their assistants, but you can approximate it reliably: check Google People Also Ask chains for your service plus city, scrape Perplexity related-question chains on your topic, search social platforms for people describing what they asked ChatGPT, and ask the assistants directly what they consider when recommending a business like yours. Treat any single source as a clue, not proof — triangulate across at least two.
By Pinal Dave — Last updated: 2026-08-02
The short answer
This is a genuinely common question for local business owners trying to do their own AI visibility work, and the honest answer is that there is no public log of real assistant conversations to check. What exists instead are several reliable proxies, each imperfect alone but strong in combination. Google search results already surface a "People Also Ask" section for almost any service-plus-location query, and that section reflects real aggregated question patterns. Perplexity, similarly, publishes related-question chains under its public answers. And social platforms are full of people literally describing, in their own words, what they asked ChatGPT or Claude about a local business.
What the evidence shows
Marketing and SEO sources are converging on the same practical method: type your service and city into Google, read the People Also Ask questions, and treat those as a strong proxy for what people are also asking AI assistants — because the underlying intent (a person trying to make a decision about a local business) is the same regardless of which interface they use. That is a genuine proxy, not a guess, precisely because People Also Ask data is itself generated from aggregated real query patterns.
Comparison: four ways to approximate real assistant questions
| Method | What it shows | Strength |
|---|---|---|
| Google People Also Ask for "service + city" | Aggregated real question patterns | Strong — reflects actual search behavior |
| Perplexity related-questions chains | Question phrasing the engine itself surfaces | Strong — engine-native signal |
| Social search for "asked ChatGPT" + topic | First-person accounts of real assistant use | Moderate — anecdotal but genuine |
| Asking the assistant directly what it considers | The assistant's own reasoning about its process | Useful context, not proof of real user demand |
Step-by-step: researching what your customers ask AI
- Search Google for your core service plus your city and note every question in the People Also Ask section.
- Search Perplexity for the same core topic and note the related-questions chain it surfaces.
- Search social platforms (Reddit, X, LinkedIn) for phrases like "asked ChatGPT" plus your service category to find first-person accounts.
- Cross-check for overlap — a question that shows up in two or more of these sources is a much stronger candidate than one from a single post.
- Write content that directly answers the strongest, most-corroborated questions, since that content is what gets cited when someone actually does ask an assistant.
FAQ
Is there a tool that shows real ChatGPT search queries? Not publicly, for privacy reasons — the methods above are proxies, not direct logs, and should be treated that way.
Should I trust a single Reddit post as proof people are asking AI about my business type? No — treat one social post as a phrasing clue, not proof of real demand. Look for the same question pattern showing up in search-engine data too.
How often should I redo this research? Regularly, since AI answer behavior and question patterns shift as engines update — a periodic refresh keeps your content matched to current demand.
Does asking ChatGPT itself what it considers count as real evidence? It is useful for understanding the reasoning an assistant applies, but it does not prove real users are asking that exact question — corroborate with search-behavior data.
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