AI Visibility
measured18/100
Emerging · in Design
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals47/100
Some gaps
Avg Prompt Score
9
across 196 prompts
AI Share of Voice
9%
across 196 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Design
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.
Autoflow is a B2B automotive workflow/CRM SaaS with strong third-party review signals (G2: 16 reviews, 4.8/5; Capterra: 56 reviews, 4.8/5). The biggest AI-citation risk is conversion-stage evaluation queries that require first-party, crawlable comparison/evaluation content (especially structured evaluation pages and schema); the single highest-ROI fix is to add/ensure SoftwareApplication + FAQPage structured data and first-party evaluation blocks that directly answer “Autoflow vs alternatives” and “Autoflow pricing” questions from the brand’s own domain.
Based on audit of autoflow.com · Oct 6, 2026