An AI Visibility Audit establishes what selected AI systems currently understand about an organization, where that understanding comes from, and which gaps create commercial, reputational, or governance risk.
The audit is not a mention counter
A brand mention can be positive, inaccurate, irrelevant, uncited, or disconnected from buyer intent. A useful audit therefore examines the quality of representation, category accuracy, source retrieval, recommendation context, competitor comparison, and the organization’s ability to support the answer with official evidence.
What is examined
- Entity identification: whether the organization is recognized as the correct legal and commercial entity.
- Description accuracy: whether services, markets, locations, people, and positioning are explained correctly.
- Buyer-intent coverage: whether the brand appears in questions that reflect real discovery, comparison, procurement, and risk evaluation.
- Citation and source behavior: which owned and third-party sources are retrieved or referenced.
- Competitive context: which organizations appear instead and what information architecture supports their visibility.
- Failure states: absence, ambiguity, hallucination, outdated information, retrieval failure, provider failure, and conflicting answers.
Audit methodology
Queries are treated as buyer reasoning objects, not isolated keywords. Each query is connected to a role, decision stage, business pressure, risk, desired outcome, evaluation criteria, proof requirement, and expected knowledge asset.
Observations record the engine and surface, model or mode when visible, date, time, timezone, language, location context, session type, browsing or retrieval status, citations, owned-source use, interpretation, confidence, and limitation.
Outputs
- Executive summary and risk map
- Representative query library
- Entity and description accuracy findings
- Source and citation analysis
- Competitor and category observations
- Knowledge, evidence, schema, and relationship gaps
- Prioritized 30, 90, 180, and 365-day roadmap
- Acceptance criteria for implementation and monitoring
What the audit cannot prove
The audit does not prove permanent visibility, universal recommendation, causation of revenue, or model-wide behavior. Results vary by time, provider, session, mode, location, and source availability. Provider failure is recorded separately and is never counted as brand absence.
Who should use it
The audit is designed for CEOs, owners, boards, marketing leaders, strategy teams, corporate communications, procurement, legal, compliance, and technical evaluators who need a defensible baseline before approving implementation.
Related routes
- Detailed Methodology
- Evidence and Validation Standard
- Implementation Services
- Request an Audit Discussion