AI Visibility
measured25/100
Emerging · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals44/100
Some gaps
Avg Prompt Score
14
across 182 prompts
AI Share of Voice
14%
across 182 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Design
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.
VU Custom (jtbcustom.com) is a B2B SaaS platform for visual product customization, and it already has a meaningful G2 footprint (30 reviews, 4.3★). The biggest AI-citation risk is missing/uncrawlable evaluation assets for purchase-intent queries—especially first-party comparison pages for “How does VU Custom compare to Epicor CPQ/Kickflip/Coohom/Configure One Cloud/Zakeke?” and a publicly crawlable pricing page for “How much does VU Custom cost?”. Highest-ROI fix: publish SSR, indexable “[VU Custom] vs [Epicor CPQ]” style pages plus an indexable pricing page with specific tiers/prices.
Based on audit of jtbcustom.com · Oct 9, 2026