AI Visibility
measured74/100
Frequently Cited · in Error Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
79
across 218 prompts
AI Share of Voice
80%
across 201 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Error Tracking
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.
BugSnag is a B2B error monitoring SaaS with strong third-party review visibility (G2 and Capterra exist) and a publicly accessible pricing page with named tiers. The biggest AI-citation risk is evaluation-stage coverage: if first-party comparison/evaluation pages and SoftwareApplication/FAQ structured data are thin or missing, AI engines will rely on third-party sources instead of citing bugsnag.com for “alternatives” and “vs” queries.
Based on audit of bugsnag.com · Aug 29, 2026