Buyer Prompt Library: 50 Prompts to Test Your Brand Across AI Engines

This template gives you 50 buyer prompts in five groups (problem, category, shortlist, comparison and validation) to test whether AI engines recommend your brand. Replace the placeholders, run each prompt several times in each engine, and score each answer as absent, mentioned or recommended. The result is a baseline you can re-test monthly.

Prompts are templates, not MentionX data. Fill the [brackets] with your own terms.

How do you use this template?

1. Replace placeholders: [category], [use case], [persona], [competitor], [integration], [budget], [region].
2. Keep wording natural, the way a buyer would type or speak.
3. Run each prompt 3 times per engine, in a fresh chat, with search on where available.
4. Score: −1 negative, 0 absent, 1 mentioned, 2 recommended, 3 top pick. See Brand mentions vs recommendations.
5. Log cited sources.

Group A: Problem prompts (1–10)

1. Why is [problem] so hard for [persona]?
2. What causes [problem] in [industry]?
3. How do [persona] usually deal with [problem]?
4. Is [problem] worth solving with software?
5. What are the signs we've outgrown [current approach]?
6. How much time do teams lose to [problem]?
7. What's the best way to start fixing [problem]?
8. What should a [persona] know before choosing a [category]?
9. What mistakes do companies make with [problem]?
10. How do I explain [problem] to my boss?

Group B: Category prompts (11–20)

1. What is a [category] and do I need one?
2. What types of [category] are there?
3. [Category] vs [alternative approach]: which is better for [use case]?
4. What features matter most in a [category]?
5. How much does a [category] typically cost?
6. Is a free [category] good enough for [persona]?
7. What's the difference between [category] and [adjacent category]?
8. What should a [category] integrate with?
9. How long does it take to implement a [category]?
10. What are the risks of switching [category]?

Group C: Shortlist prompts (21–30)

1. What's the best [category] for [persona]?
2. Best [category] for [use case] in [region]
3. Top [category] tools under [budget] per month
4. Which [category] do [industry] companies use?
5. Best [category] that integrates with [integration]
6. Best [category] for a team of [size]
7. Recommend a [category] for a beginner
8. What are the most popular [category] tools in 2026?
9. Best alternatives to [competitor]
10. Which [category] is easiest to use?

Group D: Comparison prompts (31–40)

1. [Competitor] vs [your brand]
2. [Your brand] vs [competitor] for [use case]
3. Is [your brand] better than [competitor]?
4. Compare [competitor A], [competitor B] and [your brand]
5. Cheaper alternative to [competitor]
6. Which is better for [persona]: [competitor] or [your brand]?
7. Pros and cons of [your brand]
8. Why do people switch from [competitor]?
9. [Your brand] or [competitor] for [integration] users?
10. What do reviewers say about [your brand] vs [competitor]?

Group E: Validation prompts (41–50)

1. How much does [your brand] cost?
2. Does [your brand] integrate with [integration]?
3. Is [your brand] secure / compliant with [standard]?
4. Who is [your brand] best for?
5. What do users complain about with [your brand]?
6. Does [your brand] offer a free trial?
7. Is [your brand] available in [region]?
8. What is [your brand]?
9. Who owns [your brand] and where is it based?
10. Is [your brand] worth it?

Groups D and E are branded on purpose: they test facts and sentiment. Groups A–C test unprompted visibility.

How do you score and record results?

Illustrative rows. Average the runs per prompt and engine.

Which engines and settings should you use?

Use a clean or logged-out session where possible, and record the location.

How do you adapt the library to your market?

• B2B: add prompts about security reviews, procurement and integrations with your buyers' core systems.
• Ecommerce: add budget, size, delivery and returns prompts. ChatGPT treats these as shopping intent and may show product results (OpenAI).
• Local services: add "near me" and city prompts, and note the test location, since ChatGPT can use approximate location from the IP address (OpenAI).
• Several languages: translate the prompts naturally rather than word for word, and test each language separately.

Keep the core 50 stable over time so trends stay comparable. Add new prompts as a separate set.

What mistakes should you avoid?

• Writing prompts that sound like ad copy ("most innovative platform for…")
• Testing only branded prompts
• Changing the wording between runs
• Running everything once from a personalised account

• Low scores in A–B: engines don't connect your category to the problem. Publish educational content.
• Low in C: missing from shortlists. Check positioning and third-party roundups.
• Low in D: comparisons favour competitors. Read the reasons.
• Errors in E: wrong facts. See Fix wrong facts.

Checklist

• [ ] Placeholders filled
• [ ] 3 runs × 5 engines scheduled
• [ ] Scoring scale agreed
• [ ] Sources logged
• [ ] Monthly re-test set

Sources

• OpenAI, Searching the web with ChatGPT; Google, Gemini sources; Anthropic, Claude web search; Microsoft, Copilot web search. Accessed 30 Oct 2026.