[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Red Hat OpenShift Kubernetes Engine
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

72

Strong Presence

Avg Prompt Score

72

across 16 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.8avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors1.0avg/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.

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

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