AI Visibility
measured52/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals64/100
Some gaps
Avg Prompt Score
100
across 298 prompts
AI Share of Voice
100%
across 298 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in Developer Tools
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.
SonarSource is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2) and enterprise analyst signaling (Gartner Magic Quadrant) plus publicly crawlable pricing. The single highest-ROI fix is to strengthen first-party evaluation surfaces (SoftwareApplication/FAQPage structured Q&A and brand-led comparison pages) so AI can cite sonarsource.com directly for “SonarQube vs …” and “SonarQube pricing” rather than relying on third parties.
Based on audit of sonarsource.com · Sep 30, 2026