AI Search & GEO insights
Practical guidance for measuring brand, entity, citation, and source visibility across AI answer experiences.
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AI search measurement is useful when it is treated as directional visibility intelligence, not as perfect attribution.
How to Measure Visibility in AI Search
A practical, honest measurement model for AI search visibility across answer coverage, brand mentions, citations, entity consistency, and source quality.
AI Search & GEO
How to Measure Visibility in AI Search
A practical, honest measurement model for AI search visibility across answer coverage, brand mentions, citations, entity consistency, and source quality.
AI Crawler Governance: Control Search, Training and User-Requested Bots
AI crawler governance means deciding access by operator and purpose — not applying one rule to every AI bot. Separate search/indexing, model training, and user-requested retrieval, and verify what actually happens at the edge.
AI Referral Traffic Analytics: Separate What You Can Measure From What You Cannot
Track identifiable AI referrers, landing pages, and conversions in a versioned channel definition. Keep crawler requests, prompt visibility, and direct/unknown traffic separate, and report confidence instead of reallocating ambiguous traffic to AI.
AI Answer Accuracy: Monitor and Correct Brand, Product and People Errors
When an AI answer contains wrong information about a brand, preserve the exact response, classify the severity, trace the likely source, correct owned and third-party facts, escalate where documented, and re-test on a schedule.
AI Search & GEO
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Map your AI visibility gaps.
Review entity consistency, source quality, and answer coverage before chasing tactics.