AI Visibility
measured68/100
Frequently Cited · in Proposal & CPQ
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals19/100
Weak fundamentals
Avg Prompt Score
53
across 609 prompts
AI Share of Voice
53%
across 609 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Proposal & CPQ
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.
DealHub is already strongly cited for evaluation-stage queries via G2 (844 reviews, 4.7/5) and has first-party comparison content (e.g., DealHub vs Salesforce Revenue Cloud). The single highest-ROI fix is to improve conversion-stage citation by publishing publicly crawlable, tiered pricing (not just “Get a custom quote”), because AI engines often cannot cite pricing without readable plan/price data.
Based on audit of dealhub.io · Jun 4, 2026