AI Visibility
measured22/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
8
across 306 prompts
AI Share of Voice
8%
across 306 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Commerce
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.
Listing Mirror is a B2B multichannel eCommerce listing/inventory software with strong AI-citation inputs from G2 (33 reviews, 4.6/5) and a publicly crawlable pricing page with tiered monthly prices. The biggest AI citation risk is evaluation-stage coverage: while the site has first-party comparison content, there’s no clear evidence (from live checks) of SoftwareApplication/FAQPage structured data and there’s no confirmed crawlability guidance for AI bots (robots/llms).
Based on audit of listingmirror.com · Sep 2, 2026