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

63

Growing Presence

Avg Prompt Score

17

across 306 prompts

AI Share of Voice

14%

across 290 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
288 brand-level
Cited26%75/288
Share of voice14%avg
Engine consensus50%of engines
Competitors39.0avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/cited
Sentiment—no data
🛡️Trust
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors2.1avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited83%5/6
Share of voice83%avg
Engine consensus100%of engines
Competitors2.0avg/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.

Categories Gartner is visible in

2
  • Software Marketplace2 of 19→
  • Sales Intelligencenot yet measured→

Citation source profile

Review aggregator — scored as citation source, not software buyer

Gartner.com is highly likely to be cited for enterprise evaluation queries because it hosts first-party Magic Quadrant methodology and Peer Insights pages, which AI engines treat as authoritative for “best/leader” style questions. The biggest AI-citation risk is that many high-intent evaluation surfaces (e.g., vendor-specific comparison/pricing-style pages) may be gated or not crawlable, so the single highest-ROI fix is to ensure AI crawlers can access and extract structured, self-contained evaluation blocks (category + comparison + review summary) from the most important pages.

Based on audit of gartner.com · May 2, 2026

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