AI Visibility
measured51/100
Frequently Cited · in Vulnerability Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals67/100
Solid fundamentals
Avg Prompt Score
98
across 289 prompts
AI Share of Voice
100%
across 274 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Vulnerability Management
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
Checkmarx is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2 profile with many reviews) and enterprise credibility via Gartner Peer Insights. The single highest-ROI fix is to ensure first-party, crawlable evaluation content (especially SoftwareApplication/FAQPage structured data and any brand-led comparison pages) is consistently indexable and not JS-gated—this is the main blocker for “Checkmarx vs competitor” and “Checkmarx pricing” citation patterns.
Based on audit of checkmarx.com · May 7, 2026