AI Visibility
measured33/100
Emerging · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
18
across 449 prompts
AI Share of Voice
18%
across 449 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.
Daasity is a B2B analytics/data platform for consumer brands, but AI citation readiness is constrained by thin third-party review coverage (only 17 G2 reviews found) and lack of clearly indexable first-party evaluation surfaces (no evidence of SoftwareApplication/FAQPage structured data and no clearly discoverable first-party “Daasity vs …” pages). The single highest-ROI fix is to expand crawlable evaluation content: publish/ensure indexable first-party comparison pages and add SoftwareApplication + FAQPage schema on product/pricing pages so AI engines can cite Daasity for evaluation and pricing queries.
Based on audit of daasity.com · Sep 29, 2026