AI Visibility
measured33/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals28/100
Weak fundamentals
Avg Prompt Score
100
across 27 prompts
AI Share of Voice
100%
across 27 prompts
Critical Issues
5
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.
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.
Twohat.com (Two Hat / Community Sift) is a B2B content moderation platform, but AI citation readiness is weak because the homepage redirects to Microsoft’s Community Sift page and there is only 1 G2 review (5.0/5). The highest-ROI fix is to restore/host crawlable first-party evaluation content on twohat.com (especially pricing + SoftwareApplication/FAQPage) so AI engines can cite the brand for evaluation and conversion queries.
Based on audit of twohat.com · Sep 1, 2026