Find the buyer questions AI assistants get asked about you

A language model generates what buyers plausibly ask AI assistants about a category like yours. It is not pulled from real ChatGPT or Perplexity chat logs, we have no access to that data and neither does anyone else selling a tool like this. Treat the list as an informed starting point, not a transcript.

ChatGPT, Perplexity and Gemini answer questions, not keywords. Being cited is a per-question outcome: a page can win one question a buyer asks and lose the next. Working from the actual questions, phrased the way a person types them, is a closer match to how an assistant retrieves and cites content than working from a list of keywords.

Discovery questions are asked by buyers who are still finding out what options exist in your category. Comparison questions come once a buyer has a shortlist and is weighing it. Objection questions are asked right before a buyer commits, when one doubt is still unresolved. Each stage calls for a different kind of page to win it.

Open ChatGPT, Perplexity or Gemini yourself and ask the question in your own words. Look at which sources get cited in the answer and whether your site is one of them. That real check is the only way to confirm a generated question matches what buyers actually type.

Pick the questions that matter most to your buyers and write answer-first content for each one, the exact question near the top of the page followed by a direct answer. If you want a starting structure for a post built around one question, the blog outline generator turns a question straight into an outline.

Yes, free with an hourly cap per visitor so one visitor cannot drain shared capacity. What you type or the page we read is sent only to generate the questions and is not stored or shared beyond that request. There is no sign-up and nothing is saved to an account.