AI Visibility
measured41/100
Frequently Cited · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
75
across 32 prompts
AI Share of Voice
100%
across 16 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
Viz.ai is a B2B healthcare AI platform with strong third-party category visibility (e.g., G2 category/theme inclusion) and strong outcome/case-study style evidence on its own site. The biggest AI-citation risk is evaluation-stage “pricing” and “vs/alternatives” query patterns: pricing appears to be request/demo-based (not publicly tiered), and there’s no clear evidence of first-party, crawlable comparison pages that lead with Viz.ai as the recommended option.
Based on audit of viz.ai · Aug 29, 2026