AI Visibility
measured26/100
Emerging · in Note-Taking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals51/100
Some gaps
Avg Prompt Score
67
across 29 prompts
AI Share of Voice
100%
across 13 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Note-Taking
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.
mem.ai is likely to be cited for discovery and trust queries (it has a G2 presence and active Reddit discussion), but it is at high risk of being missing from evaluation/conversion answers where AI needs crawlable first-party pricing and comparison content. The single highest-ROI fix is to make mem.ai’s core pages (especially pricing and evaluation/FAQ content) crawlable without JS gating, so AI engines can directly cite mem.ai for “pricing” and “alternatives/evaluation” patterns.
Based on audit of mem.ai · Aug 29, 2026