AI Visibility
measured15/100
Emerging · in AI Model Optimization Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals9/100
Weak fundamentals
Avg Prompt Score
35
across 230 prompts
AI Share of Voice
35%
across 230 prompts
Critical Issues
7
critical + high
Shortlist Position
0/80
Not Visible · Vulnerability Management Discovery
How AI Visibility breaks down
in AI Model Optimization Tools
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.
Categories Lime is visible in
1Your visibility gap
Lime surfaces in 0/80 Vulnerability Management discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
Executive summary
lime-software.com is not showing up for the vulnerability management buyer-intent queries you provided (0/80 discovery prompts), so AI engines are unlikely to cite it for “what is vulnerability management software” and “how to manage vulnerabilities in cloud environments.” The single highest-ROI fix is to create crawlable, SSR-first first-party content that directly answers those exact gap questions (compliance/risk, cloud, DevOps, healthcare, prioritization) and to add B2B evaluation surfaces (SoftwareApplication/FAQPage + first-party comparison pages and pricing pages) so models can cite it during shortlist formation.
Based on audit of lime-software.com · May 7, 2026