AI Visibility
measured22/100
Emerging · in Customer Experience
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
12
across 204 prompts
AI Share of Voice
12%
across 204 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Customer Experience
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.
Referral Rock is a B2B referral-program SaaS that already has meaningful AI-citation anchors on G2 (15 reviews, 4.5/5) and a publicly crawlable pricing page ($250/mo Operator Plan). The biggest risk for AI evaluation queries is missing/uncertain first-party structured evaluation surfaces (e.g., SoftwareApplication/FAQPage/ratings schema) and potentially thin enterprise analyst signals; the single highest-ROI fix is to add/verify SoftwareApplication + FAQPage + AggregateRating-style structured data on product/pricing pages so AI engines can confidently cite it for “pricing/integrations/what it is” prompts.
Based on audit of referralrock.com · Aug 30, 2026