AI Visibility
measured25/100
Emerging · in Cloud Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
24
across 112 prompts
AI Share of Voice
16%
across 96 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Cloud 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.
Red Hat is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review presence (e.g., G2 and TrustRadius) and clear, crawlable pricing for at least some products (e.g., OpenShift pricing page). The single highest-ROI fix is to strengthen first-party evaluation surfaces for AI (especially SoftwareApplication/FAQPage structured data and more explicit, brand-led comparison/evaluation blocks) so models can cite redhat.com directly for “Red Hat vs X” and “Red Hat pricing” patterns rather than relying on third-party review sites.
Based on audit of redhat.com · May 6, 2026