AI Visibility
measured40/100
Frequently Cited · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals71/100
Solid fundamentals
Avg Prompt Score
100
across 123 prompts
AI Share of Voice
100%
across 123 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.
BrowserStack is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review presence (e.g., 3,293+ G2 reviews and 596+ TrustRadius reviews) and an accessible, tiered pricing page with public prices. The biggest remaining risk for AI citation is conversion-stage “pricing/plan” and evaluation-stage “SoftwareApplication/FAQ” structured extraction—if your on-site structured data is incomplete, AI engines may cite third parties instead of your first-party pages.
Based on audit of browserstack.com · Jun 10, 2026