Your AI visibility number is only as honest as the questions behind it. Track the wrong prompts and you'll either scare yourself with irrelevant zeros or — worse — celebrate visibility on questions no buyer ever asks.
After tracking thousands of prompts across categories, here's the playbook we've landed on for choosing a prompt set that actually predicts revenue: what to include, what to skip, and how to keep the set honest over time.
The only prompts worth tracking daily are the ones a buyer asks right before choosing someone. “Best X for Y.” “X vs Y.” “X alternatives.” “Who should I hire for Z.” These are the questions where being named converts directly into pipeline — and where being absent means a competitor just got your customer.
Curiosity prompts (“what is CRM software?”) feel relevant but aren't — AI answers them generically, rarely names brands, and no deal hinges on them. If a prompt wouldn't change anyone's shortlist, it doesn't belong in your core set.
AI assistants answer some questions from live web retrieval and others from training memory — Semrush's clickstream work found only about a third of ChatGPT queries run with web search enabled.1 Both matter, but search-triggering prompts are where your visibility can move fastest, because they read today's web instead of last year's memory.
What triggers search: recency (“best agencies 2026”), locality (“best solar installers in Denver”), comparisons of living things (“X vs Y pricing”). What doesn't: definitions, how-tos, timeless concepts. A good core set leans hard on the first group — the same qualities that make a prompt search-triggering make it commercially valuable.
A prompt set that's all “best X” head terms misses most of the real conversation. Buyers approach from four angles, and you want all four in the set:
Category prompts— “best AI visibility tools 2026”: the head terms where incumbents dominate.
Use-case prompts— “best way to track my brand in ChatGPT for a small team”: longer, more specific, easier to win, and often higher intent.
Comparison prompts— “X vs Y”, “X alternatives”: buyers deep in evaluation; being the named alternative is the whole game.
Situation prompts— “how do I choose…”, “questions to ask before hiring…”: earlier-stage, but AI often names brands as examples, and those casual namings compound.
A practical split for a 25-prompt core set: roughly 8 category, 7 use-case, 6 comparison, 4 situation. Weight toward wherever your deals actually start — agencies live on locality prompts; SaaS lives on comparisons.
The 25-prompt core set, by buyer angle
A practical starting split — reweight toward wherever your deals actually begin
All four angles, weighted toward the high-intent head and use-case terms — enough breadth to beat answer noise, few enough that every flip gets noticed.
One prompt is an anecdote. AI answers are genuinely inconsistent — SparkToro's testing found the same question returns meaningfully different brand lists across runs.2 You beat that noise with breadth (25–50 prompts) and cadence (daily or weekly), so trends emerge from the variance instead of drowning in it.
But past ~50 core prompts, most teams stop reading the report. The goal isn't maximal coverage — it's a set small enough that when a prompt flips from “names competitors” to “names you,” somebody notices and knows why.
The answers change daily; the questionschange quarterly. New competitors appear in “vs” prompts, new use cases emerge, seasonal phrasing shifts. Every quarter: drop prompts that stopped producing brand names, add the questions your sales team started hearing, and re-check phrasing against how buyers actually talk (mine your support tickets and call notes — buyers phrase things worse, and better, than marketers do).
One warning: resist rewriting prompts mid-stream. Changing the wording resets the trend line — treat your core set like a survey instrument, because it is one. (For what to do once tracking reveals the gaps, see brand-mention gap analysis.)
One more honest shortcut: if building this set by hand feels like half a day you don't have, Beacon generates a buying-intent prompt set for your category automatically — the same four-angle mix this playbook teaches — then tracks it daily across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Mode. You review the questions, tweak the ones your sales calls contradict, and the tracking runs itself.
Beacon generates a buying-intent prompt set for your category automatically, tracks it daily across five AI models, and shows who's winning each question.