AI Visibility
measured18/100
Emerging · in Knowledge Base
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals2/100
Weak fundamentals
Avg Prompt Score
22
across 191 prompts
AI Share of Voice
22%
across 191 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Knowledge Base
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.
HelpDocs is a B2B knowledge base software platform and already has strong AI-citation inputs from first-party comparison content and a crawlable, tiered pricing page. The biggest risk for AI citation is evaluation-stage “shortlist” queries that rely on structured software metadata and third-party review depth (especially TrustRadius/Gartner Peer Insights), so the highest-ROI fix is to add/verify SoftwareApplication + FAQPage structured data across key pages and close secondary review/analyst gaps.
Based on audit of helpdocs.io · Oct 7, 2026