AI Visibility
measured55/100
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 185 prompts
AI Share of Voice
100%
across 168 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.
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.
CoConstruct is a B2B construction management SaaS that already has meaningful third-party visibility (e.g., Trustpilot 308 reviews and G2 presence), so AI engines can cite it for “reviews/worth it” queries. The biggest citation risk is conversion-stage evaluation queries like “CoConstruct pricing” and “CoConstruct vs [competitor]” because the site’s pricing appears sales-led/contact-gated and there’s no clear first-party “[Brand] vs [Competitor]” comparison surface on coconstruct.com.
Based on audit of coconstruct.com · Jun 6, 2026