AI Visibility
measured39/100
Emerging · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
100
across 59 prompts
AI Share of Voice
100%
across 59 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Coding
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.
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.
CodeRabbit is a strong B2B AI coding assistant with solid G2 traction (141 reviews, 4.4★) and crawlable, tiered pricing ($24/$48/$72 per developer per month billed annually). The biggest AI-citation risk is evaluation-stage comparison coverage: there are no clearly indexed first-party pages that directly answer “How does CodeRabbit compare to Qodo?” and “How does CodeRabbit compare to Greptile?” with CodeRabbit positioned as the recommended solution.
Based on audit of coderabbit.ai · Sep 20, 2026