AI Visibility
measured67/100
Frequently Cited · in Note-Taking
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals55/100
Some gaps
Avg Prompt Score
76
across 333 prompts
AI Share of Voice
76%
across 333 prompts
Critical Issues
4
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.
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 Obsidian is visible in
1Executive summary
Obsidian is likely to be cited by AI engines for “best note-taking / PKM” style discovery queries due to strong third-party visibility (notably a G2 seller page) and heavy community discussion on Reddit. The biggest citation risk is evaluation/conversion-style queries that require crawlable, structured first-party content (e.g., pricing + comparison-style pages) and LLM-friendly technical signals (llms.txt/structured data); the single highest-ROI fix is to add/verify llms.txt + JSON-LD structured data on key pages (pricing, product overview, integrations) so AI answers can quote and recommend Obsidian directly from obsidian.md.
Based on audit of obsidian.md · Sep 30, 2026