AI Visibility
measured16/100
Emerging · in Security
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
3
across 426 prompts
AI Share of Voice
0%
across 403 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Security
Composite = 60% coverage + 40% engine breadth, 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 machine-learning in Python is visible in
3Executive summary
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