AI Visibility
measured33/100
Emerging · in AI Infrastructure
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals74/100
Solid fundamentals
Avg Prompt Score
85
across 50 prompts
AI Share of Voice
100%
across 34 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.
Executive summary
jupyter.org is likely cited for “what is Jupyter/Jupyter Notebook” and “how to use notebooks” style queries, but it is weak for AI evaluation/conversion patterns that depend on crawlable pricing, structured product schemas, and first-party comparison pages. The single highest-ROI fix is to add crawlable, evaluation-intent structured content (FAQPage + Organization/Product schema) and ensure key pages are discoverable for AI crawlers (SSR + sitemap coverage), because current signals skew toward community/docs rather than product-evaluation surfaces.
Based on audit of jupyter.org · Sep 1, 2026