AI Visibility
measured56/100
Frequently Cited · in Construction Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
95
across 159 prompts
AI Share of Voice
100%
across 143 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Construction Software
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.
Per-stage performance
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.
Executive summary
CMiC is a B2B construction ERP/management software brand with meaningful third-party review presence (e.g., Capterra shows 163 reviews at 4.2). The biggest AI-citation risk is evaluation-stage coverage: the site has first-party “vs” positioning, but pricing is “Get a Quote” (no public tiers), and there’s no clear evidence of SoftwareApplication/FAQPage structured data for AI evaluation queries.
Based on audit of cmicglobal.com · Jun 6, 2026