AI Visibility
measured41/100
Frequently Cited · in Data & Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals48/100
Some gaps
Avg Prompt Score
30
across 407 prompts
AI Share of Voice
30%
across 407 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.
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.
Categories Dice is visible in
2Executive summary
dice.tech is a B2B spend-management platform and already has strong AI-citation inputs from major review ecosystems (e.g., G2 and Gartner Peer Insights). The biggest risk for AI shortlists is evaluation-stage crawlability: you need first-party, crawlable pricing + comparison content (and SoftwareApplication/FAQPage structured data) so models can cite dice.tech directly for “pricing” and “vs/alternatives” queries rather than relying on third parties.
Based on audit of dice.tech · Sep 1, 2026