AI Visibility
measured49/100
Frequently Cited · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
63
across 16 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
Per-stage performance
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.
Executive summary
boost.ai has strong AI-citation foundations for evaluation and trust queries: it has 39 G2 reviews (4.7/5) and a Gartner Peer Insights vendor profile, plus multiple first-party case studies. The biggest risk for conversion-stage citations is that pricing and structured evaluation content (SoftwareApplication/FAQPage) could be missing or not crawlable/SSR-ready—so AI may avoid citing boost.ai for “pricing/cost” and “vs/alternatives” prompts.
Based on audit of boost.ai · Jun 3, 2026