AI Visibility
measured18/100
Emerging · in Field Service & Workforce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
10
across 154 prompts
AI Share of Voice
10%
across 154 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Field Service & Workforce
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.
Fieldcode is likely to be cited by AI engines for evaluation-stage queries because it has a G2 presence (22 reviews, 5.0 rating) and first-party competitor comparison pages (e.g., Fieldcode vs SERVICE 1). The biggest citation risk is conversion-stage and structured evaluation queries that require crawlable structured data (SoftwareApplication/FAQPage) and strong secondary review signals (TrustRadius/Gartner Peer Insights), which appear thin or not clearly discoverable from live checks.
Based on audit of fieldcode.com · Oct 9, 2026