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ANSWERS

How do I find the questions my customers ask AI?

Mine sources you already own: support tickets, sales-call transcripts, search-query reports, and site-search logs. Watch forums and communities where your category gets discussed. These sources surface real customer language, not the vocabulary you use internally. ye5's GEO Content package turns those questions into content built to answer them.

Where customer questions already live

Customers hand support reps, sales calls, and Claude, ChatGPT, and Gemini the same underlying questions, each time in different words. Coverage gaps are what keep a model from answering for you (see: What are customer questions and why does coverage matter?). These sources suggest the questions customers likely ask AI; they do not reveal private prompts typed into assistants.

  • —Support tickets and help-desk transcripts. These hold the exact phrasing customers use when something confuses them, not the terms your team uses internally.
  • —Sales-call recordings and notes. The objections and comparisons a prospect raises before signing are the same ones they raise elsewhere.
  • —Post-purchase and onboarding surveys. These catch questions a customer never thought to ask a rep directly.

Search and site-search data

Search-query reports and site-search logs turn assumptions about customer language into evidence.

  • —Search-query reports show the phrases customers already type into search to find you, often different words than the ones on your homepage.
  • —Site-search logs show what visitors type into your own search bar when navigation and menus didn't answer it for them.

Where communities discuss your category

Reddit threads, niche forums, and review sites surface the blunt questions customers ask each other, not a company .

  • —Comparison threads reveal how customers describe your category in their own words, which can differ from your product's official name.
  • —Review sites surface the objections customers raise to each other before they've picked a vendor.

Turn customer questions into content AI can cite

Prioritize the questions you collected, then answer closely related ones together where that serves the reader. ye5's GEO Content takes a single question and builds a citable package around it — article, posts, carousels, scripts, and images. The extraction rules that make each piece quotable are covered in (see: What makes content citable to an AI model?).

FAQ

How many customer questions should I collect before starting?

Aim for coverage across awareness, comparison, and decision stages, not a fixed count. Ten well-sourced questions beat a hundred guessed ones.

Do support tickets count as customer questions even if they're complaints?

Yes. A complaint is a question in disguise. The customer's confusion, phrased as frustration, is what a model would otherwise have to answer for them.

What if my company doesn't have much support or sales data yet?

Site-search logs and category forums fill the gap. Community language is available even before you have an established support queue.

Get content AI will cite for your business.