AI Visibility
measured18/100
Emerging · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals36/100
Weak fundamentals
Avg Prompt Score
8
across 150 prompts
AI Share of Voice
8%
across 150 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.
Cloud CMA is a B2B real-estate software product with some AI-citable third-party review presence (G2 shows 19 reviews at 3.7/5), but it’s unlikely to win evaluation-stage citations because first-party evaluation assets (especially crawlable pricing and structured software schema) are weak or not clearly accessible. The single highest-ROI fix is to publish/SSR a dedicated, crawlable pricing page on cloudcma.com (not a JS/gated flow) and add SoftwareApplication + FAQPage schema so AI engines can ground “Cloud CMA pricing” and “Cloud CMA vs alternatives” queries.
Based on audit of cloudcma.com · Aug 31, 2026