AI Visibility
measured25/100
Emerging · in Software Marketplace
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
79
across 22 prompts
AI Share of Voice
100%
across 6 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Software Marketplace
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
walls.io is a B2B SaaS (social wall / UGC aggregation) with strong AI-citation inputs from G2 and Gartner Peer Insights, including 109 G2 reviews and a Gartner Peer Insights product page. The biggest AI visibility risk is evaluation-stage crawlability/structured extraction: while pricing pages exist, there’s no clear evidence (from live search) of SoftwareApplication/FAQPage schema on first-party pages, which can reduce citation frequency for “Walls.io pricing” and “Walls.io vs X” queries.
Based on audit of walls.io · Oct 9, 2026