AI Visibility
measured18/100
Emerging · in Government & Public Sector
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals48/100
Some gaps
Avg Prompt Score
48
across 18 prompts
AI Share of Voice
100%
across 2 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Government & Public Sector
Composite = 50% coverage + 30% engine breadth + 20% position, 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
escribemeetings.com is a B2B meeting management software vendor (public-sector focused) and already has meaningful G2 visibility (23 reviews on its G2 seller profile). The biggest AI-citation risk is conversion-stage crawlability: the pricing page is “Request Pricing” (no public tiered prices), which prevents AI engines from citing pricing for conversion queries—fix this by publishing crawlable, tiered pricing (or at least price ranges) and adding SoftwareApplication/FAQPage schema for evaluation queries.
Based on audit of escribemeetings.com · Aug 29, 2026