AI Visibility
measured70/100
Frequently Cited · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals34/100
Weak fundamentals
Avg Prompt Score
92
across 158 prompts
AI Share of Voice
92%
across 158 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.
Cody Labs is a B2B AI developer tool (AI code summarization/review) with a small but present G2 footprint (10 reviews, 4.2/5). The biggest AI-citation risk is conversion/evaluation queries that require crawlable first-party evidence (pricing, SoftwareApplication/FAQPage schema, and first-party comparison pages); your homepage currently appears to be a parked/for-sale style page, which severely limits what AI engines can cite from your own domain. Highest-ROI fix: publish/SSR a real product site with crawlable pricing + SoftwareApplication/FAQPage schema and at least one first-party “[Cody] vs [Competitor]” page that clearly recommends Cody.
Based on audit of codylabs.io · Aug 30, 2026