AI Visibility
measured44/100
Frequently Cited · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
99
across 213 prompts
AI Share of Voice
99%
across 213 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
h2o.ai is a B2B AI/ML platform with meaningful third-party review visibility (G2 + Gartner Peer Insights + TrustRadius), so it’s likely to be cited for evaluation-stage queries. The biggest citation risk is conversion-stage and evaluation-stage “pricing + comparison” queries: the site’s pricing/structured evaluation surfaces are not clearly crawlable from the signals we found, and there’s no evidence of first-party “[Brand] vs [Competitor]” pages or SoftwareApplication/FAQPage structured data.
Based on audit of h2o.ai · Sep 17, 2026