AI Visibility
measured15/100
Emerging · in AI-Assisted Development
measured from this brand's audit prompts
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
7
across 175 prompts
AI Share of Voice
0%
across 152 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI-Assisted Development
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
GitHub is highly likely to be cited by AI engines for evaluation-stage prompts like "What is the best version control hosting software?" and "How does GitHub compare to GitLab?" because it has strong third-party review authority (G2 + Gartner Peer Insights) and first-party comparison content on GitHub Resources. The single highest-ROI fix is to improve crawlable, structured pricing + evaluation Q&A (FAQPage/SoftwareApplication) so prompts like "How much does GitHub cost?" and "Is GitHub worth it for a mid-market team?" can be answered from GitHub-owned pages rather than only from third parties.
Based on audit of github.com · Apr 2, 2026