AI Visibility
measured18/100
Emerging · in AI Chatbots
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals56/100
Some gaps
Avg Prompt Score
10
across 332 prompts
AI Share of Voice
10%
across 332 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Chatbots
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.
Botkeeper is a B2B AI bookkeeping platform with strong AI-citation inputs from G2 (36 reviews, 4.4/5) and first-party comparison library pages plus a publicly crawlable pricing page with explicit tiers. The biggest AI-visibility risk is evaluation-stage citation: missing/unclear SoftwareApplication/FAQPage structured data and limited evidence of enterprise analyst recognition (Gartner/Forrester/IDC) and secondary review depth (TrustRadius/G2 badge type not confirmed). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on product/pricing/comparison pages and ensure it’s crawlable/SSR so AI engines can reliably cite evaluation answers.
Based on audit of botkeeper.com · Sep 29, 2026