Paste a keyword like roofer Brantford and get the conversational prompts real buyers ask ChatGPT, Perplexity, and Gemini, each labelled by intent and best-fit engine.
Convert a keyword into AI prompts
Keyword research tells you what people type into Google. Prompt research tells you what they ask an AI engine. Enter a keyword phrase below to turn one into the other.
Preview: your first three prompts. These are the questions buyers ask an AI engine. The full set adds cost, local, comparison, reputation, and pre-purchase prompts.
Unlock the full prompt set
The preview above is the first three prompts. Enter your details to reveal the complete set, grouped by buyer intent with a best-fit engine on each, ready to copy into your prompt-research sheet. We will know which keyword you are mapping and can help you turn the gaps into content.
Engine labels reflect how each engine typically behaves (live-retrieval surfaces handle "near me" and comparison; reasoning-led engines handle evaluation and cost). They are guidance, not a live read of your brand. The plain-text copy is ready to paste into a prompt-research sheet.
How to use it
- Enter your keyword. Use the same phrase you target in search, for example roofer brantford or commercial cleaning ontario. Keep it to the noun phrase a buyer would type.
- Add a city if it is not already in the keyword. If your keyword is already local, leave the city field blank. The tool will not double up the location.
- Select Convert to prompts. The tool rewrites your keyword into a set of full-sentence prompts, grouped by buyer intent, with a best-fit engine on each one.
- Copy the set. Use Copy all prompts to drop the list into a research sheet, then check each prompt against the pages you publish. Any prompt your site cannot answer cleanly is a content gap.
Why it matters
This is Formative Digital's Vector 3, Resonate: the stage where keyword research becomes prompt research. The query surface moved. A buyer who used to type roofer brantford into Google now asks ChatGPT or Perplexity who the best roofers in Brantford are and what to look for before hiring. The intent is the same. The wording, the length, and the follow-up structure are not. If your pages only answer the two-word keyword, the AI engine has no clean passage to cite when it reads the full question, so it cites a competitor or a directory instead.
Mapping every target keyword to its prompt set tells you which questions your content actually needs to answer, in the words buyers use. That is the input to the rest of the work: structuring each answer as a citable passage, validating the schema around it, and measuring which prompts you get cited on. The converter is the front door. It shows you the question; the engagement makes your page the answer.
The tool shows you the prompts. We get you cited in the answers.
This converter turns your keyword into the prompts buyers ask. The next step is knowing which of those prompts already name a competitor instead of you, and fixing it. Our AI Visibility Audit runs your real prompt set across ChatGPT, Perplexity, Gemini, and Google AI Overviews, scores your citation rate against competitors on the same questions, and hands you a written read of where the gap is. The converter is free research. The audit is the diagnosis.
Request your free AI visibility audit or see how the engagement works on the AI Visibility Audit service page.
Frequently Asked Questions
What is a keyword to AI prompt converter?
It is a tool that takes a search keyword, like roofer Brantford, and rewrites it as the full-sentence questions real people type into ChatGPT, Perplexity, and Gemini. Search engines reward short keywords; AI engines respond to conversational prompts. The converter bridges the two so your keyword research lines up with how buyers actually ask AI tools for a recommendation.
Why convert keywords into prompts at all?
Because the query surface changed. A buyer who once searched roofer Brantford now asks an AI engine who are the best roofers in Brantford and what should I look for. The intent is identical, but the wording, length, and follow-up structure are different. If your content only answers the two-word keyword, the AI engine has nothing clean to cite when it reads the full question. Mapping keyword to prompt shows you the questions your pages need to answer.
Are the prompts this tool generates real, or invented?
They are templated from your exact input using fixed question patterns that match common buyer intents: who is best, how to choose, cost, near me, worth it, and compare. The tool does not query a live AI engine and does not invent a visibility score. It deterministically rewrites your keyword into prompt form so you can see the question set. Treat the output as a research starting point you confirm against your own buyers.
Which AI engine does each prompt suit best?
The tool labels each prompt with a best-fit engine based on how those engines behave. Near me and comparison prompts suit live-retrieval surfaces like Perplexity and Google AI Overviews. Evaluation, cost, and worth-it prompts suit reasoning-led engines like ChatGPT and Gemini. These labels are general guidance from documented engine behaviour, not a live measurement of your brand. A real per-engine read of where you are cited comes from an AI visibility audit.
How does this fit Formative Digital's 12 Vectors?
This tool is Vector 3, Resonate. Resonate is the stage where keyword research becomes prompt research: you map the prompts your buyers actually use to the content you publish, so AI engines find a passage that answers the real question. The converter is the front door to that work. The full Vector 3 engagement matches the prompt set to your pages, structures answers for citation extraction, and measures which prompts you are cited on.