Measure how AI engines represent your brand — with the evidence to explain why. I run a structured AI Visibility & GEO (Generative Engine Optimization) audit across leading AI search and answer engines. The audit combines live model evaluations with technical site analysis to show where your brand is mentioned, recommended, compared, cited, or absent — and what measurable gaps may be contributing to those results. What I analyze

AI visibility across multiple engines

Brand mentions and recommendations

Competitor surfacing and comparison patterns

Citation/search evidence where observable

AI/search crawler accessibility

Technical extractability and structured data

Content alignment

Claim-level factual support What you receive

30 live AI evaluations — 10 buyer-intent prompts across 3 engines

Cross-engine visibility analysis

Competitor and source evidence

Technical GEO findings

Prioritized remediation actions

Executive GEO Summary

Action & Implementation Brief

Raw evaluation evidence and provenance

Implementation-ready artifacts where applicable

Every finding is tied to observed model output or site evidence. The audit does not promise rankings, citations, or recommendations; it gives you a defensible view of your current AI-search visibility and what your team can improve next. No CMS, analytics, or production access is required.