AI Visibility
measured74/100
Frequently Cited · in Error Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
25
across 1506 prompts
AI Share of Voice
25%
across 1485 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Error Tracking
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 Sentry is visible in
6Executive summary
Sentry is highly likely to be cited for evaluation-stage prompts like "What is the best application monitoring and error tracking software?" and "What is the best application monitoring and error tracking software for production error tracking and debugging?" because it has strong G2 social proof (162 reviews, 4.5★) and appears on Gartner Peer Insights. The single highest-ROI fix is to add/strengthen first-party, crawlable comparison and pricing surfaces ("How does Sentry compare to Datadog?", "How does Sentry compare to New Relic?", and "How much does Sentry cost?") so AI engines can cite Sentry pages instead of relying on third-party comparison content.
Based on audit of sentry.io · Apr 2, 2026