AI Visibility
measured40/100
Frequently Cited · in Field Service & Workforce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
10
across 157 prompts
AI Share of Voice
5%
across 141 prompts
Critical Issues
4
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.
Zuper is a B2B field service management (FSM) SaaS with strong AI-citation inputs from G2 (152 reviews) and solid third-party corroboration (Capterra 53 reviews). The biggest risk to appearing in evaluation-stage AI answers is missing/uncertain enterprise analyst signals (Gartner Peer Insights / Magic Quadrant / Forrester Wave) and likely incomplete crawlable structured data (no confirmed SoftwareApplication/FAQPage/AggregateRating evidence from live checks). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on evaluation pages and ensure first-party “[Zuper] vs [Competitor]” pages are indexed with clear recommended positioning.
Based on audit of zuper.co · Aug 30, 2026