AI Visibility
measured76/100
Frequently Cited · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals67/100
Solid fundamentals
Avg Prompt Score
96
across 139 prompts
AI Share of Voice
100%
across 123 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Coding
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
JetBrains is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (4.5/5 with ~4,968 reviews on its G2 seller page) and is referenced on Gartner Peer Insights for IDE software. The single highest-ROI fix for further AI citation lift is to ensure first-party, brand-led evaluation content exists for each product category (e.g., IntelliJ IDEA / WebStorm / Qodana / TeamCity / YouTrack) including crawlable pricing and structured comparison/FAQ pages that AI can quote directly.
Based on audit of jetbrains.com · May 1, 2026