AI Visibility
measured16/100
Emerging · in Commerce
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
64
across 18 prompts
AI Share of Voice
100%
across 1 prompts
Critical Issues
3
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.
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
Liferay is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (G2 seller page and Gartner Peer Insights) and active B2B social proof via LinkedIn. The biggest risk pattern is conversion-stage “pricing” and evaluation-stage “vs/alternatives” queries where AI needs crawlable, structured pricing and first-party comparison content; the highest-ROI fix is to publish/SSR a crawlable pricing page with explicit tiers and add SoftwareApplication/FAQPage structured Q&A for pricing and integrations.
Based on audit of liferay.com · Aug 30, 2026