AI Visibility
measured30/100
Emerging · in Vulnerability Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals8/100
Weak fundamentals
Avg Prompt Score
15
across 173 prompts
AI Share of Voice
15%
across 173 prompts
Critical Issues
6
critical + high
Shortlist Position
6/80
Not Visible · Vulnerability Management Discovery
How AI Visibility breaks down
in Vulnerability Management
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.
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.
Categories DefectDojo is visible in
1Your visibility gap
DefectDojo surfaces in 6/80 Vulnerability Management discovery prompts. Claim this profile to see which 74 prompts you're missing and how to win them.
Executive summary
DefectDojo is already cited by AI for core vulnerability-management discovery questions (e.g., DevOps scanning and what security engineers use), but it is weak for evaluation-style queries tied to compliance/risk and cloud vulnerability management. The single highest-ROI fix is to publish crawlable, first-party evaluation pages (FAQ + comparison-style content) that directly answer the missing buyer questions like “vulnerability management for compliance and risk assessment” and “how to manage vulnerabilities in cloud environments.”
Based on audit of defectdojo.com · Sep 21, 2026