AI Visibility
measured18/100
Emerging · in Product Experience
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals54/100
Some gaps
Avg Prompt Score
4
across 298 prompts
AI Share of Voice
4%
across 298 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Product Experience
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.
Hubflo has strong AI-citation inputs for evaluation queries via G2 (36 reviews, 4.7/5) and first-party pricing that is publicly accessible with clear tiers. The biggest risk is conversion-stage citation reliability if key technical crawlability signals (robots.txt/llms.txt/sitemaps/SSR for critical pages) are not verifiably accessible to AI crawlers; the single highest-ROI fix is to ensure AI crawler access + SSR for pricing and evaluation pages (and publish/validate llms.txt).
Based on audit of hubflo.com · Oct 2, 2026