AI Visibility
measured38/100
Emerging · in Proposal & CPQ
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals4/100
Weak fundamentals
Avg Prompt Score
9
across 464 prompts
AI Share of Voice
9%
across 464 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Proposal & CPQ
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.
GetAccept is likely to be cited for evaluation-stage queries because it has strong third-party review presence (e.g., 1,227+ G2 reviews) and clear first-party pricing/feature comparison surfaces (e.g., /pricing and /pricing/compare). The highest-risk citation pattern is conversion-stage “GetAccept pricing” and evaluation “GetAccept vs competitor” queries if AI cannot reliably extract structured pricing and SoftwareApplication/FAQPage evaluation schema from crawlable pages; the single highest-ROI fix is to add/verify B2B structured data (SoftwareApplication + FAQPage + Product/Offer) on pricing and evaluation pages and ensure those pages are SSR-crawlable.
Based on audit of getaccept.com · May 8, 2026