AI Visibility
measured41/100
Frequently Cited · in Developer Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
8
across 146 prompts
AI Share of Voice
8%
across 146 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Developer Tools
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.
reflect.run is a B2B SaaS (SmartBear Reflect) with meaningful G2 presence (42 reviews, 4.7/5) and a publicly accessible, tiered pricing page. The biggest AI-citation risk is evaluation-stage coverage: there’s no clear evidence of first-party “[Reflect] vs [Competitor]” comparison pages and limited/unclear structured evaluation content (FAQPage/SoftwareApplication/ratings) that AI engines can reliably cite for shortlist formation.
Based on audit of reflect.run · Oct 7, 2026