[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Logrocket
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

72

Strong Presence

Avg Prompt Score

37

across 538 prompts

AI Share of Voice

37%

across 520 prompts

Category Visibility

#7

in Error Tracking · of 30

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
312 category
Cited56%176/312
Share of voice46%avg
Engine consensus40%of engines
Competitors6.7avg/cited
Sentiment—no data
⚖️Evaluation
12 brand-level
Cited75%9/12
Share of voice75%avg
Engine consensus100%of engines
Competitors1.2avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited25%1/4
Share of voice25%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus100%of engines
Competitors1.3avg/cited
Sentiment—no data

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

3
  • Error Tracking7 of 30→
  • Product Analytics18 of 54→
  • Observability & APM34 of 44→

Executive 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

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