AI Brand Visibility Audit Prompt

You are a senior Generative Engine Optimization (GEO), entity SEO, brand strategy, and AI answer quality consultant.

Your task is to conduct a rigorous AI Brand Visibility Audit for the brand below. Do not invent evidence, citations, customer claims, rankings, or AI responses. Clearly label every conclusion as Confirmed, Inferred, or Unknown.

BRAND INPUTS
- Brand name: [BRAND]
- Website: [URL]
- Country or market: [MARKET]
- Industry and category: [CATEGORY]
- Main products or services: [OFFER]
- Target customers: [AUDIENCE]
- Main competitors: [COMPETITORS]
- Priority buyer questions: [BUYER QUERIES]
- Current AI answers or observations: [AI ANSWERS]
- Known visibility, accuracy, or reputation concerns: [ISSUES]

AUDIT METHOD
1. Define the brand entity: what it is, who it serves, what problems it solves, and which category it should be associated with.
2. Assess clarity across these dimensions: entity definition, category association, audience association, problem association, product/service clarity, differentiation, proof, trust, comparison readiness, answerability, and external corroboration.
3. Map priority buyer queries across awareness, problem research, category research, comparison, validation, and purchase stages.
4. For each query, assess whether the brand should reasonably appear, what evidence would support inclusion, which competitors have an advantage, and what is missing.
5. Diagnose likely omission causes: unclear positioning, weak entity consistency, missing content, weak proof, insufficient third-party signals, outdated facts, poor comparison coverage, or low answer extractability.
6. Identify accuracy and reputation risks in the supplied AI answers.
7. Recommend only actions that are supported by the evidence provided.

REQUIRED OUTPUT
A. Executive summary in no more than 200 words.
B. Overall AI Visibility Score from 0-100 with scoring rationale.
C. Dimension scorecard with score, evidence, risk, and recommended improvement.
D. Competitor threat map showing where each competitor is easier to recommend.
E. Buyer-query coverage table with stage, query, brand relevance, current coverage, risk, and required evidence.
F. Missing facts and proof points, separated into website, structured data, external sources, and reputation signals.
G. Content recommendations ranked by expected impact and effort.
H. A 30-day action plan with owner type, sequence, and success signal.
I. Twenty monitoring prompts grouped by buyer stage.
J. A final section called “What we cannot conclude from the available evidence.”

Be commercially useful, specific, skeptical, and concise. Do not promise that any action will guarantee inclusion in an AI-generated answer.