AI Visibility
measured27/100
Emerging · in Construction Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
12
across 290 prompts
AI Share of Voice
12%
across 290 prompts
Critical Issues
3
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.
Assignar is a B2B construction operations/workforce management platform with meaningful AI-citation anchors on G2 (49 reviews, 4.4/5) and a public pricing page, so it can show up in evaluation-stage shortlists. The biggest AI-visibility risk is conversion-stage citation: the pricing page does not show tiered prices (it routes to a demo/custom quote), which weakens “Assignar pricing” and “cost” query answers—fix this by publishing crawlable, tiered pricing (or at least explicit price ranges) and adding SoftwareApplication/FAQPage structured data for evaluation queries.
Based on audit of assignar.com · Oct 7, 2026