How to Find the AI Prompts Your Buyers Are Actually Asking
To find the AI prompts your buyers actually ask, mine the conversations you already have — sales-call recordings, support tickets, and customer interviews — then cross-check them against People Also Ask boxes and an AI-visibility tool that captures real generative-search queries. The goal is a living prompt portfolio: a documented list of the exact questions buyers type into ChatGPT, Claude, Perplexity, and Google AI Overviews, ranked by intent. Guessing at keywords is not enough — AI prompts are longer, more conversational, and more specific than the two-word searches SEO was built around.
Why buyer prompts look nothing like keywords
People ask AI the way they’d ask a knowledgeable friend. Pew Research found that 60% of Google searches beginning with question words like “who,” “what,” or “why” produced an AI summary, and searches of 10 or more words triggered summaries far more often than one- or two-word searches. Semrush similarly reports that keywords that trigger AI Overviews tend to be longer and more specific. If your research stops at head terms, you miss the full sentences your buyers actually type.
Step 1: Mine the conversations you already own
Your sales and support archives are the richest, cheapest prompt source — and the most honest, because nobody phrased the question to please an algorithm.
Sales-call mining
Pull transcripts from your last 20–30 discovery and demo calls. Tag every question a prospect asked in their own words: “Does this work if we’re already on Shopify?” or “How is this different from doing it in-house?” Those are prompts. Buyers ask AI the same comparison and qualification questions before they ever reach a rep.
Support tickets and chat logs
Objections and confusion points repeat. Export your help-desk tags and chat transcripts, then cluster recurring phrasings. A ticket that reads “how do I cancel without losing my data” is a verbatim prompt a buyer would type before purchasing.
Customer interviews
Ask five recent customers one question: “What did you type into ChatGPT or Google when you were first looking for something like us?” Record the literal phrasing. Paraphrasing destroys the signal — capture the exact words.
Step 2: Expand with People Also Ask and autocomplete
Search your core topics and harvest the People Also Ask (PAA) box, which surfaces the question chains Google already associates with your space. Do the same with Google and YouTube autocomplete, and with the “related questions” Perplexity and ChatGPT suggest at the end of an answer. These show you the next question in a buyer’s chain — the follow-up you can win by answering it on the same page.
Step 3: Capture real generative-search queries with a tool
Manual mining tells you what buyers asked you; an AI-visibility platform tells you what they’re asking the models right now. Tools that track prompt-level visibility let you enter candidate questions, see whether ChatGPT, Claude, Perplexity, or AI Overviews cite you, and surface the missing prompts where competitors appear and you don’t. That gap list is your priority queue. Our AI visibility services page explains how we run AEO and GEO citation audits against exactly these prompts.
Step 4: Build the prompt portfolio
Drop every question into one sheet with four columns: the verbatim prompt, its source (call, ticket, PAA, tool), buyer intent (awareness, comparison, decision, retention), and whether AI currently cites you. Group near-duplicates so you optimize one strong page per cluster rather than thin pages per phrasing. Sort by intent and citation gap — high-intent prompts where you’re invisible come first.
Step 5: Optimize, then re-check
For each priority cluster, publish a page that answers the prompt in the first two sentences, uses the buyer’s literal phrasing as a heading, and supports it with specifics. Then re-run your tool monthly. Prompt behavior shifts as models update, so the portfolio is maintenance, not a one-time project. This is the backbone of answer engine optimization: write to the question, measure the citation, repeat.
Want help turning your call archive and support logs into a ranked prompt portfolio? Email info@frostbitemarketing.com and ask for an AI-visibility prompt audit. Frostbite Marketing works with businesses of every size to win citations in AI search.
Frequently asked questions
What is a prompt portfolio?
A prompt portfolio is a documented, regularly updated list of the exact questions your buyers type into AI tools like ChatGPT, Claude, and Google AI Overviews. Each entry records the verbatim prompt, its source, the buyer’s intent, and whether AI currently cites you — so you can prioritize which questions to win first.
How is finding AI prompts different from keyword research?
Keyword research targets short head terms, while AI prompts are full, conversational questions. Pew Research found that question-word searches and longer 10-plus-word queries trigger AI summaries far more often than short searches, so prompt discovery focuses on the complete sentences buyers actually ask rather than two-word phrases.
Where do I find the real prompts buyers use if I have no AI tool yet?
Start with conversations you already own: sales-call transcripts, support tickets, and chat logs capture buyers’ exact wording for free. Expand that list with Google’s People Also Ask box and autocomplete suggestions, which reveal the follow-up questions in a buyer’s chain.
How often should I update my prompt portfolio?
Re-check it at least monthly. AI models update their responses and citations frequently, and buyer phrasing shifts over time, so a prompt portfolio is ongoing maintenance rather than a one-time project — re-running an AI-visibility tool keeps your priority list accurate.
