AI Visibility
measured40/100
Frequently Cited · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
99
across 48 prompts
AI Share of Voice
99%
across 48 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Design
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.
Curiosity.ai is a B2B enterprise AI knowledge/context graph platform, and it already has meaningful AI-citation inputs from G2 (17 reviews, 4.6/5). The biggest risk to being cited in evaluation-stage “shortlist” queries is missing/unclear first-party evaluation assets (notably SoftwareApplication/FAQPage structured data and robust comparison-page coverage), which forces AI engines to rely on third-party reviews instead of citing Curiosity directly.
Based on audit of curiosity.ai · Sep 29, 2026