AI Visibility
measured16/100
Emerging · in Performance Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
7
across 317 prompts
AI Share of Voice
7%
across 317 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Performance Management
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.
Datalligence.ai has meaningful B2B AI citation potential because it appears on G2 with 29 reviews, and it publishes publicly crawlable pricing with per-user/per-month tiers. The biggest risk for AI engines is evaluation-stage citation: the site has many “alternatives”/comparison-style pages, but there’s no clear evidence (from live search) of first-party structured evaluation pages that are consistently indexed as “[Brand] vs [Competitor]” and no evidence of SoftwareApplication/FAQPage schema—so AI may rely on third-party sources instead of citing datalligence.ai for shortlist answers.
Based on audit of datalligence.ai · Jun 8, 2026