AI Visibility
measured25/100
Emerging · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
15
across 178 prompts
AI Share of Voice
15%
across 178 prompts
Critical Issues
5
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.
Datafold is a B2B data observability/data reliability SaaS with strong primary citation signals from G2 (24 reviews, 4.5★) and solid first-party content for evaluation and trust. The biggest AI-citation risk is conversion-stage query coverage: Datafold’s pricing appears to be quote-based/customized (no clear public tiered pricing), which weakens answers for “How much does Datafold cost?” and related shortlist decisions.
Based on audit of datafold.com · Oct 6, 2026