AI Visibility
measured32/100
Emerging · in Product Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals7/100
Weak fundamentals
Avg Prompt Score
16
across 324 prompts
AI Share of Voice
16%
across 324 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Product Analytics
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.
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.
UXCam is a B2B product analytics SaaS with strong AI-citation inputs from major review/analyst sources (G2, TrustRadius, and Gartner Peer Insights are present). The biggest remaining risk for AI engines is evaluation-stage citation for first-party comparison and structured product metadata (e.g., SoftwareApplication/FAQPage), plus ensuring pricing is fully crawlable for AI (some tiers appear to require demo/request).
Based on audit of uxcam.com · May 7, 2026