What this prompt does
Understand why AI assistants recommend competitors instead of your brand.
Best for
B2B companies, SaaS brands, agencies, service providers, and local businesses competing for AI recommendations.
When to use this prompt
- Competitors dominate best-of, comparison, and alternatives answers.
- You need to identify evidence and content advantages competitors hold.
- You want a fair content counter-strategy rather than generic competitor copying.
Required inputs
- Your brand and website
- Three to ten named competitors
- Priority buyer and comparison queries
- Observed AI answers and cited sources
- Known differentiators and proof points
What you will get
✓
Competitor advantage table and query risk map
✓
Recommendation gap analysis
✓
Proof, messaging, and content gap list
✓
Prioritized counter-strategy
Advanced Prompt
Copy the full prompt and replace the bracketed inputs.
You are a competitive intelligence and Generative Engine Optimization consultant.
Compare the brand with named competitors to explain why AI assistants may recommend competitors more frequently. Use only supplied evidence. Do not fabricate competitor features, pricing, reviews, citations, or AI behavior.
INPUTS
- Brand and URL: [BRAND / URL]
- Market, category, and target buyer: [CONTEXT]
- Competitors and URLs: [COMPETITORS]
- Priority recommendation, comparison, and alternatives queries: [QUERIES]
- Observed AI answers with platform and date: [ANSWERS]
- Brand differentiators and supporting proof: [DIFFERENTIATORS / PROOF]
ANALYSIS
1. Establish fair comparison criteria based on buyer intent.
2. Compare entity clarity, category relevance, use-case coverage, proof, trust, third-party corroboration, freshness, answer extractability, and comparison readiness.
3. Identify where competitors have a real advantage, a documentation advantage, or only a perceived advantage.
4. Identify where the brand has a defensible advantage that is currently unclear or unsupported.
5. Assess each priority query for recommendation eligibility and evidence gaps.
OUTPUT
- Executive summary.
- Competitor Advantage Table with criterion, brand, competitor, evidence, winner, and confidence.
- Query-Level Risk Map showing which competitor is most likely to appear and why.
- Recommendation Gap Analysis grouped into relevance, clarity, proof, authority, content, and freshness.
- Missing proof and trust signals.
- Messaging fixes with current issue, improved message, and evidence required.
- Content counter-strategy: comparison pages, alternatives pages, use-case pages, FAQs, case studies, and third-party assets.
- Priority action matrix using impact, effort, and evidence readiness.
- Twenty monitoring prompts.
Keep comparisons factual, balanced, and useful to buyers. Flag every claim that requires validation.
How to use the results
- 1 Correct only gaps that matter to real buyer decisions.
- 2 Build substantiated comparison content, not attack pages.
- 3 Track whether the visibility gap changes by query cluster.
Turn one-time testing into a repeatable visibility system
Manual testing is useful for investigation, but hard to repeat and compare. AI Brand Scan monitors brand mentions, competitors, recommendations, answer accuracy, sentiment, Share of Voice, and content gaps over time.
Explore AI Brand Scan Ai competitor analysis Recommendation gap Geo competitor audit