AI Visibility
measured57/100
Frequently Cited · in Error Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
37
across 538 prompts
AI Share of Voice
37%
across 520 prompts
Critical Issues
4
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 Logrocket is visible in
4Executive summary
LogRocket is highly likely to be cited by AI engines for evaluation-stage queries (e.g., “best session replay/product analytics/error tracking tool”) because it has strong G2 authority (2,314 reviews, 4.6/5, Grid leader) and public, tiered pricing. The biggest remaining citation risk is structured-data/technical AEO gaps (e.g., SoftwareApplication/FAQPage/SSR verification) and first-party evaluation surfaces (brand-led “[Brand] vs [Competitor]” pages) that AI engines can reliably extract.
Based on audit of logrocket.com · Apr 2, 2026