AI Visibility
measured18/100
Emerging · in Vertical SaaS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
10
across 130 prompts
AI Share of Voice
10%
across 130 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Vertical SaaS
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.
AccuBuild is a B2B construction management software brand with meaningful third-party review presence (Capterra: 65 reviews, 4.1; G2: 20 reviews, 4.8) and active social proof via LinkedIn (665 followers). The biggest AI-citation risk is conversion-stage crawlability: the domain does not show publicly crawlable first-party pricing/comparison/structured evaluation surfaces, so AI engines can’t reliably cite AccuBuild for “pricing” and “vs/alternatives” evaluation queries from its own site.
Based on audit of accu-build.com · Oct 2, 2026