How do I find the prompts that make AI answer engines mention my competitors?

A good way to think about this is: you’re trying to discover the questions, prompts, and intents that trigger AI answer engines to surface competitors in your category.

Here’s a practical process:

1) Start with the “competitor-mention” query patterns

Look for prompts people use when they’re:

• comparing options
• asking for recommendations
• asking for alternatives
• asking for best-in-class tools

Examples:

• “What are the best [category] tools?”
• “What is the best alternative to [your brand]?”
• “Compare [your brand] vs [competitor].”
• “Top [category] platforms for [use case].”
• “Which [category] is best for [audience]?”
• “What tool should I use for [job-to-be-done]?”

These are the prompts most likely to make AI engines mention competitors.

2) Mine real user intent sources

Use sources where users naturally phrase questions:

• Google Search Console queries
• customer support tickets
• sales call notes
• Reddit, Quora, and community forums
• review sites like G2/Capterra
• competitor review pages
• autocomplete / “People also ask”
• your site search logs

Extract questions containing:

• “best”
• “vs”
• “alternative”
• “similar to”
• “recommend”
• “compare”
• “for [use case]”

3) Use AI answer engines directly

Test prompts in:

• ChatGPT
• Perplexity
• Gemini
• Claude
• Microsoft Copilot
• search AI overviews if available

Create a spreadsheet with columns like:

• Prompt
• Engine
• Competitors mentioned
• Rank/order mentioned
• Citation/source used
• Notes on context

Run the same prompt across multiple engines to see which competitors appear consistently.

4) Expand from your category’s intent map

Break your category into intent buckets:

• discovery: “what is…”
• comparison: “X vs Y”
• evaluation: “best for…”
• replacement: “alternative to…”
• implementation: “how to do…”
• pain-point solving: “how do I…”
• budget: “cheap/free [category] tools”

Each bucket tends to surface different competitors.

5) Find “adjacent” prompts, not just direct brand queries

AI engines often mention competitors even when users don’t name your brand. For example:

• “What’s the best software for [specific task]?”
• “How do I solve [problem]?”
• “Which tool is easiest for [team size]?”
• “What are enterprise-grade options for [category]?”

These prompts can be more valuable because they capture broader demand.

6) Look at competitor content that AI cites

Check what content competitors publish that AI systems may use:

• comparison pages
• alternatives pages
• use-case landing pages
• glossary/education articles
• listicles and roundup posts

If a competitor is frequently mentioned, it’s often because their content matches common prompt intent and is easy for answer engines to parse.

7) Build a “prompt-to-competitor” matrix

For each prompt type, note:

• which competitors appear
• whether they appear first or only in a list
• whether the engine frames them positively or negatively
• what feature/use case caused the mention

This helps you identify:

• where you’re invisible
• where you’re being compared unfavorably
• where you can publish better content

8) Reverse-engineer from answer-engine outputs

When a competitor appears, ask:

• What wording caused that mention?
• Was it due to “best”, “alternative”, “enterprise”, “free”, “for startups”, etc.?
• Did the engine cite a review site, comparison page, or forum?
• Did the answer rely on brand authority, web mentions, or structured comparisons?

Then create similar prompts around those exact modifiers.

9) Prioritize prompts by business value

Focus first on prompts that:

• indicate buying intent
• map to your highest-margin products
• show high volume or high-value pain points
• are likely to convert into demos/trials

Examples:

• “best [category] for small businesses”
• “[competitor] alternatives”
• “enterprise [category] tools”
• “best [category] for [industry]”

10) Use a simple workflow

1. Gather 50–100 candidate prompts
2. Test them in 3–5 AI engines
3. Record competitor mentions
4. Group prompts by intent
5. Identify top-mentioned competitors
6. Create content/assets targeting those prompt patterns

If you want, I can help you build:

• a prompt discovery spreadsheet
• a list of 100 competitor-triggering prompt templates
• or a method to test ChatGPT/Perplexity for your specific industry