[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Red Hat Quay
ProductCitation IndexAI InfluenceBlogBook
Claim profile →

AEO Score

72

Strong Presence

Avg Prompt Score

24

across 112 prompts

AI Share of Voice

16%

across 96 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
95 category
Cited15%14/95
Share of voice15%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.2avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
💰Conversion
7 brand-level
Cited86%6/7
Share of voice86%avg
Engine consensus100%of engines
Competitors2.7avg/cited
Sentiment—no data

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.

Categories Red Hat Quay is visible in

1
  • CI/CDnot yet measured→

Executive summary

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

Built for The Citation Economy