AI Visibility
measured60/100
Frequently Cited · in Construction Software
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
96
across 129 prompts
AI Share of Voice
100%
across 113 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Construction Software
Composite = 60% coverage + 40% engine breadth, 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.
Fieldwire is a B2B construction jobsite management SaaS with strong AI-citation inputs from G2 (512 reviews on its G2 seller page) and a publicly crawlable pricing page with explicit per-user tiers ($0/$39/$64/$89). The biggest AI citation risk is evaluation-stage comparison coverage: while Fieldwire has first-party “Fieldwire vs Procore” and “Fieldwire vs Plangrid” pages, there’s no evidence (from live checks) of SoftwareApplication/FAQPage structured data and there are no visible Gartner/Forrester/IDC enterprise analyst signals.
Based on audit of fieldwire.com · May 16, 2026