AI Visibility
measured26/100
Emerging · in Warehouse Management (WMS)
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
8
across 333 prompts
AI Share of Voice
8%
across 333 prompts
Critical Issues
5
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.
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.
GoRamp is a B2B yard & dock orchestration SaaS that already has meaningful AI-citation inputs from G2 (19 reviews, 4.4/5). The biggest risk for AI engines is evaluation-stage citation—especially first-party “[Brand] vs [Competitor]” and structured product/pricing crawlability—so the highest-ROI fix is to ensure crawlable, SSR pricing + add/expand brand-led comparison pages and schema.
Based on audit of goramp.com · Sep 30, 2026