AI Visibility
measured46/100
Frequently Cited · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals21/100
Weak fundamentals
Avg Prompt Score
57
across 550 prompts
AI Share of Voice
57%
across 550 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Marketing 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.
Dreamdata is already highly citable for evaluation-stage queries because it has strong G2 presence (271 reviews on G2) and is listed on HubSpot’s marketplace with public plan/pricing details. The biggest AI citation risk is conversion-stage evaluation queries that require first-party structured evaluation content (e.g., SoftwareApplication/FAQPage) and crawlable comparison/pricing context—so the single highest-ROI fix is to ensure SoftwareApplication + FAQPage schema exists on key product/pricing pages and that comparison pages are first-party and brand-led.
Based on audit of dreamdata.io · Sep 1, 2026