AI Visibility
measured29/100
Emerging · in Content & Knowledge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
13
across 441 prompts
AI Share of Voice
13%
across 441 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Content & Knowledge
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.
LumApps is already well-positioned to be cited for evaluation and trust queries (strong G2/TrustRadius/Gartner Peer Insights presence and a crawlable, tiered pricing page). The biggest risk for AI citation is conversion-stage “pricing/plan” and evaluation-stage “vs/alternatives” queries where first-party comparison content and SoftwareApplication schema coverage may be incomplete.
Based on audit of lumapps.com · Jun 6, 2026