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

78

Strong Presence

Avg Prompt Score

69

across 16 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
1 brand-level
Cited100%1/1
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus—
Competitors1.0avg/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—
Competitors0.3avg/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

Esri is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review presence (e.g., 539 G2 reviews for Esri ArcGIS) and appears on Gartner Peer Insights. The single highest-ROI fix is to strengthen first-party, crawlable evaluation content for purchase-intent queries (especially explicit “[ArcGIS/Esri] vs [competitor]” and “ArcGIS pricing” pages with rich structured data), so AI can cite esri.com instead of relying primarily on G2/Gartner.

Based on audit of esri.com · Jul 7, 2026

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