AI Visibility
measured18/100
Emerging · in Product Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
15
across 327 prompts
AI Share of Voice
15%
across 327 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Product Analytics
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.
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.
Glassbox is strongly positioned for AI citation in evaluation-stage queries because it has a large G2 presence (809 reviews) and is also listed on Gartner Peer Insights and TrustRadius. The biggest risk is conversion-stage and structured-evaluation citation: pricing appears to be “available on request” in multiple places, and there’s no clear evidence (from search) of SoftwareApplication/FAQPage/llms.txt/robots.txt support that AI crawlers can reliably extract.
Based on audit of glassbox.com · Sep 29, 2026