Free AI Prompt Finder
Find the questions buyers ask ChatGPT, Gemini and Google AI about your category.
Why AI prompts differ from keywords
Someone searching Google types “crm pricing”. The same person asking an AI assistant writes “How much should a five-person agency expect to pay for a CRM, and is there a free option that is good enough?” The question carries the context an engine uses to pick which brands to recommend, so the prompts you optimise for should read like that too.
How we build the list
We turn your topic into a handful of Google-style seed searches, then read what Google shows around each one in your market: autocomplete suggestions, People Also Ask questions, related searches, and Reddit thread titles. A language model rewrites that material into conversational prompts and tags each one. Every prompt keeps a link to the search items it came from, and ones written without a search source are labelled AI suggested.
These are questions buyers are likely to ask AI engines, built from real search data (autocomplete, People Also Ask, related searches) and expanded by AI. Demand signals come from Google search data, not from AI engines.
How to use intents and content types
Discover and Learn prompts are early research, usually best served by a listicle, a glossary entry or a guide. Compare and Evaluate prompts are a buyer weighing options, which comparison pages and case studies answer. Buy prompts are close to a decision and point to pricing and product pages. Troubleshoot prompts often come from people unhappy with what they use now, which is a chance to be the alternative.
Turning prompts into content, and tracking them
Pick the prompts with the highest priority, write the page each one suggests, and answer the question directly near the top. Add your website and email to see which prompts your site already seems to cover and where the gaps are. To see whether AI engines name you for these questions, run the free AI Visibility Snapshot, and to track them every day across engines, see Noma's plans.
Common questions
- How is this different from a keyword research tool?
- A keyword tool lists the short phrases people type into Google. People ask AI assistants longer, conversational questions, often with context such as team size, budget or location. This tool starts from the same Google data, autocomplete, People Also Ask and related searches, then rewrites it into the questions buyers are likely to ask ChatGPT, Gemini, Claude, Perplexity and Google AI, tagged by intent and with a suggested content type for each.
- Can I see how many people ask ChatGPT a question?
- No, and no tool can show that honestly. AI engines do not publish how often a prompt is asked. The demand signal here (High, Medium, Low or Unknown) comes from the Google monthly search volume of the searches each prompt was built from, so it shows interest in the topic on Google, not prompt counts inside an AI engine. A prompt with no linked Google search is labelled AI suggested, with Unknown demand.
- How do I find what people ask ChatGPT about my industry?
- Enter the category a buyer would use, such as "accounting software for freelancers", choose the market you sell in, and add an audience if you serve a particular group. You get 25 to 50 questions grouped by intent: discovering options, comparing them, evaluating one, buying, learning and troubleshooting.
- Which prompts should I track first?
- Start with the prompts closest to a purchase: Buy and Compare questions with High or Medium demand, then Evaluate. The list is sorted by a priority score that multiplies the demand signal by how commercial the intent is, so the top of the list is the usual starting point.
- How do I get my brand recommended for these questions?
- Publish the page each prompt calls for, such as a comparison page, a pricing page or a how-to guide, and answer the question in the first few sentences. Then check whether AI engines actually name you. The free AI Visibility Snapshot asks ChatGPT buyer questions in your category and shows who it recommends instead.