AI Visibility
measured45/100
Frequently Cited · in Marketing Analytics
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
64
across 214 prompts
AI Share of Voice
64%
across 197 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Analytics
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.
funnel.io is a B2B marketing intelligence/data integration SaaS with strong AI-citation inputs from G2 (165 reviews) and a publicly crawlable pricing page. The biggest risk for AI engines is evaluation-stage citation for “vs/alternatives” and “pricing” queries when first-party structured comparison + SoftwareApplication/FAQPage schema are missing or not easily extractable; the single highest-ROI fix is to ensure first-party evaluation pages (brand-led comparisons + pricing) are fully schema-marked and crawlable for AI crawlers.
Based on audit of funnel.io · Jun 11, 2026