AI Visibility
measured57/100
Frequently Cited · in Error Tracking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals17/100
Weak fundamentals
Avg Prompt Score
20
across 308 prompts
AI Share of Voice
20%
across 308 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 Honeybadger is visible in
3Executive 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