AI Visibility
measured23/100
Emerging · in Learning Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 303 prompts
AI Share of Voice
9%
across 303 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Learning Management
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.
Categories LifterLMS is visible in
2Executive summary
LifterLMS is likely to be cited by AI engines for evaluation-stage queries because it has active third-party review presence (e.g., Capterra shows 33 reviews at 4.8/5) and a publicly crawlable pricing page with explicit tiers. The biggest citation risk is conversion-stage “brand pricing / plan” and evaluation “SoftwareApplication/FAQ structured extraction” because key structured-data and AI-crawl controls (robots.txt/llms.txt) could not be verified via this audit tool, and first-party evaluation surfaces are not clearly indexed as SoftwareApplication/FAQ rich entities.
Based on audit of lifterlms.com · Oct 3, 2026