People also ask
In practice
Keyword research found the phrases typed into a search box; prompt research finds the questions asked in full sentences — longer, more contextual, intent-denser: “best CRM for a 10-person agency that already uses HubSpot” carries a specification a keyword never would. The sources triangulate: the category’s PAA and forum threads (buyers ask other buyers in the same words they ask engines), sales and support transcripts (the questions that appear in deals), Perplexity’s and ChatGPT’s own related-question suggestions, and the team’s lived knowledge of objection patterns.
The output is organised, not a list: prompts clustered by intent — definition, comparison, ranking, recommendation — and by stage, from “what is X” to “which X should we buy”. This inventory then powers three things. The measurement baseline: AI visibility is monitored against a fixed prompt set, run repeatedly, because presence without a defined denominator is an anecdote. The target map: for each prompt cluster, which pages the answers currently cite — that list is the placement shortlist. The content brief: the exact phrasings buyers use become the questions pages answer in quotable prose.
The maintenance rule mirrors keyword research: prompts migrate as categories evolve, so the set is refreshed quarterly — and the honest caveat stands: prompt phrasing varies user to user, so the set approximates demand rather than enumerating it, which is exactly what a good prompt set needs to do.
See also: Prompt sets, Entity gap analysis in AI answers, Buyer questions as content seeds.
Related service: Brand mentions.
