Prompt Research
Studying what questions people actually ask AI systems, to understand real demand and intent around a topic.
What is Prompt Research?
Prompt research means studying the actual questions people type into AI chat tools (rather than the short keywords they'd type into a search box) to understand what they're really trying to find out. Where keyword research might study the term "running shoes for flat feet," prompt research looks at how someone might actually phrase it to an AI, such as "what running shoes should I buy if I have flat feet and overpronate."
Why it matters
It extends established SEO keyword-research methodology to longer, more natural-language, often multi-clause conversational queries, since that's how people typically address chat-based AI systems. Practitioners commonly draw on Google Search Console's query data, "People Also Ask" boxes, forum and community questions, and (increasingly) the AI tools themselves (asking a chatbot to suggest related questions on a topic) to build representative prompt sets. It overlaps heavily with classic search-intent analysis, but is complicated by the fact that AI systems frequently rephrase or decompose a user's literal question into several sub-queries before answering (see query fan-out), meaning the prompt someone types and the queries actually run behind the scenes can differ substantially. Like several terms on this list, "prompt research" itself is an emerging industry label without a standardized methodology. Ranketta's prompt research tooling builds on this same approach, surfacing the actual conversational questions people ask AI systems within a category so a brand can decide which ones are worth tracking.