What this prompt does
Identify why your brand is missing from AI-generated recommendations.
Best for
Brands that are missing, underrepresented, or replaced by competitors in AI-generated answers.
When to use this prompt
- AI assistants recommend competitors but ignore your brand.
- Your brand appears for branded queries but not category or buyer-intent queries.
- You need to separate quick fixes from deeper authority problems.
Required inputs
- Brand, website, market, category, and target customer
- Queries where the brand is missing
- Competitors that appear instead
- Sample answers from one or more AI assistants
- Relevant website pages and known third-party mentions
What you will get
✓
Likely omission causes and omission risk score
✓
Query-level diagnosis
✓
Fast fixes and strategic fixes
✓
Content recovery plan and monitoring prompts
Advanced Prompt
Copy the full prompt and replace the bracketed inputs.
Act as a senior GEO diagnostician specializing in brand omission from AI-generated answers.
Determine why AI assistants may fail to mention the brand below. You are not testing live systems unless actual answers are supplied. Do not pretend to know model internals. Diagnose observable information and plausible causes, and label each finding Confirmed, Likely, Possible, or Unknown.
INPUTS
- Brand: [BRAND]
- Website: [URL]
- Market and category: [MARKET / CATEGORY]
- Product or service: [OFFER]
- Target buyer: [AUDIENCE]
- Queries where the brand is missing: [QUERIES]
- Competitors mentioned instead: [COMPETITORS]
- AI answers tested: [ANSWERS + PLATFORM + DATE]
- Relevant pages and external sources: [SOURCES]
DIAGNOSE THESE CAUSE GROUPS
1. Entity ambiguity or inconsistent naming.
2. Weak category, audience, problem, or location association.
3. Missing buyer-intent pages and direct answers.
4. Insufficient proof, specificity, trust, or third-party corroboration.
5. Competitor advantage in authority, clarity, coverage, or extractability.
6. Outdated, contradictory, or inaccessible information.
7. Query mismatch: the brand is not genuinely relevant to the requested need.
REQUIRED OUTPUT
- A concise diagnosis.
- Omission Risk Score from 0-100.
- A query-by-query table with expected relevance, observed omission, likely cause, evidence, and confidence.
- The five most probable omission causes ranked by impact.
- Fast fixes achievable in 14 days.
- Strategic fixes requiring authority, proof, or content development.
- A content recovery plan with page type, search/AI intent, required facts, and proof.
- Fifteen monitoring prompts, including category, comparison, alternatives, trust, location, and use-case questions.
- A “Do not do” section covering unsupported claims, keyword stuffing, fake proof, and manipulative content.
Finish with the three actions most likely to improve accurate inclusion, without claiming guaranteed AI visibility.
How to use the results
- 1 Verify whether the omission is consistent across platforms and fresh sessions.
- 2 Fix factual clarity before expanding content volume.
- 3 Monitor the same query set after meaningful source changes.
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 Chatgpt brand mentions Ai omission Geo diagnostic