Keyword research taught us to chase short phrases. AI search rewards something different: full questions, asked the way a real person would ask a knowledgeable friend. The work now is to find those questions and make sure you are the answer.
Here is a simple way to build that list.
Sort questions by how aware the buyer is
Not every question is worth the same. Group them into four buckets:
- Unaware: "why is my website not getting traffic" (they do not know the category yet).
- Problem-aware: "how do I get my brand mentioned by ChatGPT".
- Solution-aware: "best AI visibility tracking tools".
- Comparison: "TrustSEO vs a spreadsheet" or "alternatives to X".
The bottom two buckets are closest to a decision, so they are usually where you start.
Where to mine the real phrasing
- Google Autocomplete: type your seed term and read every suggestion. These are real queries, free.
- Reddit and forums: search your topic and note how people phrase their questions in their own words.
- Your sales and support inbox: the questions people already ask you are the questions they ask AI.
- The AI itself: ask ChatGPT "what do people usually want to know before buying a tool like this?"
Turn questions into tracked prompts
A list in a doc does nothing. Pick the ten to twenty questions closest to a purchase, then run them through the engines on a schedule so you can see whether you are named, where you rank, and who beats you. When a competitor wins a question you care about, that is your content brief for the week.
Example: a privacy analytics tool might track "best cookieless analytics", "google analytics alternative for EU", and "is plausible worth it" - then write the page that wins whichever one it is losing.
The mindset shift is small but important. Stop guessing at keywords and start collecting the actual questions your buyers ask out loud. The list almost writes your content calendar for you.