[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Akamai
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

78

Strong Presence

Avg Prompt Score

77

across 16 prompts

Critical Issues

2

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus—
Competitors1.6avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors1.5avg/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

Akamai is highly likely to be cited by AI engines for B2B evaluation queries because it has strong third-party review presence (notably G2) and enterprise analyst/peer signals (Gartner Peer Insights). The single highest-ROI fix is to ensure first-party, brand-led evaluation surfaces (especially SoftwareApplication/FAQPage structured Q&A and any missing [Akamai] vs [Competitor] pages) are crawlable and schema-complete so AI can cite Akamai directly for comparison and pricing-intent prompts.

Based on audit of akamai.com · Aug 10, 2026

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