AI Visibility
measured48/100
Frequently Cited · in Government & Public Sector
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
97
across 172 prompts
AI Share of Voice
100%
across 172 prompts
Critical Issues
2
critical + high
Brand Accuracy
1/48
citations with inaccuracies
How AI Visibility breaks down
in Government & Public Sector
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
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-stage queries because it has strong third-party review authority (e.g., 539+ ArcGIS reviews on G2) and extensive first-party case studies with measurable outcomes. The biggest risk is conversion-stage citation for pricing/evaluation comparisons: while Esri has publicly accessible pricing and free trials, there’s no clear evidence (from live search) of SoftwareApplication/FAQPage structured data and first-party “[Brand] vs [Competitor]” pages that AI can reliably extract for shortlist-style answers.
Based on audit of esri.com · Jul 15, 2026