AI Visibility
measured13/100
Emerging · in LLM Platforms
measured from this brand's audit prompts
AEO Readiness
fundamentals30/100
Weak fundamentals
Avg Prompt Score
4
across 139 prompts
AI Share of Voice
1%
across 123 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in LLM Platforms
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.io is primarily a hosting/namespace for GitHub Pages rather than a B2B SaaS product with a dedicated pricing/comparison surface, so AI engines have limited reason to cite it for “best software” evaluation queries. The highest-ROI fix is to ensure the specific GitHub Pages documentation pages you want cited have crawlable, structured Q&A (FAQPage) and clear “what it is / who it’s for” sections—because first-party evaluation-style content is what AI needs to answer conversion-stage questions.
Based on audit of github.io · Jun 9, 2026