AI Visibility
measured34/100
Emerging · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 25 prompts
AI Share of Voice
100%
across 25 prompts
Critical Issues
5
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.
Codium.ai (now rebranded to Qodo) is already strongly positioned for AI citation in evaluation-stage queries because it has a sizable G2 presence (122 reviews) and a Gartner Peer Insights product page. The biggest risk is conversion-stage and evaluation-stage first-party citation: codium.ai redirects to qodo.ai, and there’s no evidence (from live crawl/search) of codium.ai hosting crawlable first-party comparison pages or SoftwareApplication/structured-data surfaces that AI engines can reliably cite for “vs/alternatives/pricing” questions.
Based on audit of codium.ai · Sep 19, 2026