AI Visibility
measured47/100
Frequently Cited · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
56
across 16 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Applications
Composite = 60% coverage + 40% engine breadth, 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.
motionapp.com is likely to be cited by AI engines for evaluation-stage queries because it has a strong G2 review footprint (155 reviews on G2) and publicly crawlable pricing with at least one explicit tier ($250/mo Starter). The highest-ROI fix is to add/strengthen first-party evaluation content for comparison-style queries ("Motion vs X" / alternatives) and ensure SoftwareApplication/FAQPage structured data exists on those pages so AI engines can cite motionapp.com directly for shortlist formation.
Based on audit of motionapp.com · May 7, 2026