AI Visibility
measured55/100
Frequently Cited · in Privacy & Data Governance
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals29/100
Weak fundamentals
Avg Prompt Score
51
across 225 prompts
AI Share of Voice
51%
across 225 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Privacy & Data Governance
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
DataGrail is a B2B data privacy management SaaS with strong AI-citation inputs from G2 (206 reviews) and first-party evaluation content like “DataGrail vs OneTrust” that supports evaluation-stage queries. The biggest citation risk is conversion-stage and structured-data visibility: pricing crawlability and B2B schema signals (SoftwareApplication/FAQPage/AggregateRating) could not be verified via live search, and robots.txt/llms.txt/sitemaps were not accessible to confirm AI crawler access.
Based on audit of datagrail.io · Oct 4, 2026