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

17

Limited Presence

Avg Prompt Score

16

across 306 prompts

AI Share of Voice

16%

across 306 prompts

Category Visibility

#8

in Error Tracking · of 30

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
167 category
Cited31%52/167
Share of voice15%avg
Engine consensus45%of engines
Competitors19.2avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors4.8avg/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 Honeybadger is visible in

2
  • Error Tracking8 of 30→
  • Observability & APMnot yet measured→

Executive summary

Honeybadger.io is a B2B SaaS (application monitoring/error tracking) and already has meaningful AI-citation inputs from G2 and Gartner Peer Insights, plus crawlable first-party pricing and first-party comparison pages (e.g., /vs/). The biggest remaining risk for AI evaluation queries is structured-data coverage (SoftwareApplication/FAQPage/ratings) and ensuring comparison pages are indexed in a way that supports brand-led “Honeybadger vs X” extraction.

Based on audit of honeybadger.io · May 7, 2026

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