AI Visibility
measured35/100
Emerging · in UI/UX Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
35
across 203 prompts
AI Share of Voice
35%
across 203 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in UI/UX 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.
UXPressia is already well-positioned for AI citation on evaluation-stage queries because it has strong G2 presence (37 reviews, 4.5★) and first-party comparison content for competitor evaluation (e.g., UXPressia vs. Mural). The single highest-ROI fix is to add/verify B2B structured data (SoftwareApplication + FAQPage targeting evaluation/pricing queries) and ensure pricing is crawlable on the main domain (not only via Help Center), so models can cite pricing and product facts directly from uxpressia.com.
Based on audit of uxpressia.com · Oct 3, 2026