AI Visibility
measured18/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals52/100
Some gaps
Avg Prompt Score
100
across 24 prompts
AI Share of Voice
100%
across 24 prompts
Critical Issues
2
critical + high
How AI Visibility breaks down
in AI Applications
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 Soundraw is visible in
1Executive summary
Soundraw.io is already cited by AI engines for “best/alternatives” style queries (e.g., active G2 presence and many Reddit mentions), but it’s weaker for evaluation-style direct answers because first-party structured evaluation content (schema like SoftwareApplication/FAQPage) is not clearly discoverable. The single highest-ROI fix is to add/verify crawlable structured data (FAQPage + Organization + Product/SoftwareApplication where applicable) and ensure key evaluation pages are SSR-rendered and indexable.
Based on audit of soundraw.io · Sep 1, 2026