Claims
What is being said
Review the factual statements and product descriptions AI systems infer from public pages.
Generative engine optimization audit
See how AI systems understand your company.
A SemanticRisk GEO audit examines the public evidence available to AI systems: company and product wording, extracted claims, page structure, crawler access, and differences in interpretation.
Meaning
How it is framed
Identify changes in scope, attribution, industry labels, capability language, and confidence.
Evidence
What may influence it
Connect interpretation to visible wording, structured data, page hierarchy, crawl access, and captured text.
What the audit delivers
Practical findings tied to public evidence.
- Current AI-visible company and product framing
- Examples of missing, ambiguous, or conflicting claims
- Technical and content-capture observations
- Competitor or sector context where requested
- Prioritized recommendations for clearer machine interpretation
Important: the purpose is not to promise control over an AI answer. It is to improve and monitor the public evidence from which automated systems form interpretations.
Request an audit
Send us the domain and the interpretation you care about.
Include any AI answer, company description, product claim, competitor, or search topic you want reviewed.