AI Visibility
measured26/100
Emerging · in AI SDRs
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
7
across 259 prompts
AI Share of Voice
7%
across 259 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI SDRs
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.
Autobound.ai is a B2B GTM/sales intelligence platform with strong AI-citation inputs from G2 (notably high review volume and “Most Likely to Recommend” positioning). The biggest risk to appearing in evaluation/conversion answers is missing/unclear first-party structured evaluation surfaces (e.g., SoftwareApplication/FAQPage signals) and lack of evidence for secondary review/analyst profiles (Capterra/TrustRadius/Gartner Peer Insights). Highest-ROI fix: ensure crawlable, SSR-first structured pages for evaluation queries (pricing + integrations + “what it is/for whom” + comparison/alternatives) with SoftwareApplication + FAQPage markup.
Based on audit of autobound.ai · Jun 10, 2026