AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals37/100
Weak fundamentals
Avg Prompt Score
6
across 175 prompts
AI Share of Voice
6%
across 175 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
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.
OpenCV.ai has strong B2B social proof via a G2 presence (1 review, 5★) and clear service positioning on its first-party site, but it is unlikely to be cited for evaluation/comparison prompts because it lacks first-party “[Brand] vs [Competitor]” pages and crawlable, tiered pricing. The single highest-ROI fix is to publish indexed, brand-led comparison pages against Capital Numbers, Trigma, and TechWize plus a crawlable pricing page that states specific tiers/prices.
Based on audit of opencv.ai · Aug 30, 2026