AI Visibility
measured18/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
7
across 506 prompts
AI Share of Voice
7%
across 506 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Infrastructure
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.
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 D3.js is visible in
2Executive summary
d3js.org is highly likely to be cited by AI engines for “what is D3 / how to use D3” style queries because it has strong third-party review presence (notably G2) and clear documentation content. The biggest citation risk is evaluation-style “best [category] tools” and “pricing/alternatives” patterns where D3 lacks B2B-style structured evaluation assets (e.g., SoftwareApplication/FAQPage/pricing clarity) on its own domain.
Based on audit of d3js.org · Oct 9, 2026