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.
ANSWERS
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.
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.
Search-query reports and site-search logs turn assumptions about customer language into evidence.
Reddit threads, niche forums, and review sites surface the blunt questions customers ask each other, not a company .
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?).
Aim for coverage across awareness, comparison, and decision stages, not a fixed count. Ten well-sourced questions beat a hundred guessed ones.
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.
Site-search logs and category forums fill the gap. Community language is available even before you have an established support queue.