AI Visibility
measured18/100
Emerging · in Wiki & Docs
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals5/100
Weak fundamentals
Avg Prompt Score
9
across 332 prompts
AI Share of Voice
9%
across 332 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Wiki & Docs
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.
usewhale.io is a B2B SaaS (Whale SOP/training/documentation) with strong review-platform presence on G2 (189 reviews) and meaningful integration authority via Zapier and Microsoft AppSource. The biggest AI-citation risk is evaluation-stage coverage: while the site has first-party “alternative”/“vs” pages, there’s no clear evidence (from live search) of SoftwareApplication/FAQPage structured data and no confirmed Gartner/Forrester/IDC or TrustRadius/G2 badge details—so AI engines may cite third parties more often than your own pages.
Based on audit of usewhale.io · May 6, 2026