AI Visibility
measured18/100
Emerging · in Warehouse Management (WMS)
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 15 prompts
AI Share of Voice
100%
across 15 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Warehouse Management (WMS)
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.
Per-stage performance
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.
Executive summary
Zebra.com is likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence on G2 (e.g., Zebra Technologies shows 63 reviews at 4.3/5). The biggest citation risk is conversion-stage queries like “Zebra pricing” because the Workcloud pricing page content appears to be demo/contact-gated rather than showing publicly crawlable tiered pricing.
Based on audit of zebra.com · Sep 1, 2026