AI Visibility
measured33/100
Emerging · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
18
across 351 prompts
AI Share of Voice
18%
across 351 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Data & Analytics
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.
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.
Deepnote is strongly positioned for AI citation in evaluation-stage queries because it has substantial G2 presence (387 reviews) and first-party comparison content (e.g., Jupyter vs Deepnote and Deepnote vs Hex). The highest-ROI fix is to strengthen structured data/technical AEO for evaluation and conversion queries (SoftwareApplication/FAQPage/aggregateRating) and to add/expand first-party evaluation pages that directly answer pricing + integration questions in crawlable HTML.
Based on audit of deepnote.com · Oct 4, 2026