Updated 2026-07-06
How to choose which prompts to monitor for AI visibility
Your prompt set is the targeting list for AI visibility monitoring — every metric you track is scored against it. The right prompts are the buyer-intent questions that decide deals in your category, sized to your plan, reviewed as the category shifts. Pick wrong and you optimize for vanity; pick right and every metric maps to pipeline.
What counts as a prompt worth monitoring?
A prompt worth monitoring is one a buyer asks an AI assistant when researching your category. Three shapes cover most of the value:
- Comparison prompts — "X vs Y", "X vs Z for [use case]". These decide head-to-head consideration.
- Recommendation prompts — "best [category] for [use case]", "top [category] tools". These decide the shortlist.
- Problem prompts — "how do I [job your product does]", "is [problem] worth solving with [category]". These decide whether the category is in scope at all.
Each one is a question where being named or cited changes the outcome. If a prompt doesn't map to a buying decision, it's probably vanity.
How many prompts should I start with?
The Free plan covers 5 monitored ChatGPT prompts, and that's enough to find out whether you exist in AI answers at all. Five sharp comparison and recommendation prompts, checked on demand, tell you your citation rate on the surface that matters most. Scheduled monitoring and competitor share of voice arrive with paid plans — see pricing — and the set should grow as your brand and budget do, not before.
Should I monitor brand-name prompts or category prompts?
Both, but lean category. A prompt like "is [your brand] worth it" only fires when the buyer already knows you — it measures conversion-adjacent visibility. The prompts where you're losing silently are category-level: "best [category] for [use case]", where the buyer hasn't named anyone yet and the engine makes the shortlist for them. Those are where brand mentions and citations move pipeline.
How do I handle prompts in multiple markets?
If you sell across regions, the same question gets different answers in different locales. Build localized prompt variants so you monitor the answer a local buyer gets, not a US-English default. Run the same buyer question per market and read share of voice per region — a healthy global average can hide a market where you're absent. The multi-market workflow is detailed in the use case for multi-market brands.
How often should I review the prompt set?
Engines change, categories shift, and competitors enter or pivot. Review the set quarterly at minimum: drop prompts that no longer map to how buyers ask, add prompts for new competitors or use cases, and re-check that your category words match what buyers actually say. A stale prompt set measures a market that no longer exists.
What should I avoid?
Vanity prompts — "tell me about [your brand]" — that measure your fame to people who already know you. Prompts so narrow that no buyer asks them. And prompts phrased the way you talk about your product rather than the way buyers talk about their problem. The goal is to monitor the questions that lose you deals when you're absent, not the ones that flatter you when you appear.
- Comparison, recommendation, and problem prompts are the three valuable shapes.
- Lean category prompts over brand-name prompts — that is where deals are won or lost silently.
- Start with 5 (Free plan); grow the set as brand and budget grow.
- Use localized prompt variants for multi-market accuracy.
Frequently asked questions
Niche categories still have comparison and problem prompts — they are just phrased in the buyer vocabulary, not yours. If no one asks about the category at all, monitor the problem prompts that lead buyers toward it.
Yes, where it makes sense. The same prompt across platforms shows where you are strong and weak, and platform baselines differ by design — trend each against itself.
Yes, and you should. Review quarterly, drop stale prompts, and add new ones as your category and competitors shift. Monitoring history for removed prompts stays in your reports.