AI Visibility
measured52/100
Frequently Cited · in AI Chatbots
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals11/100
Weak fundamentals
Avg Prompt Score
21
across 363 prompts
AI Share of Voice
21%
across 363 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in AI Chatbots
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.
Manychat is already a strong AI-citation candidate for evaluation and trust queries because it has a sizable G2 presence (165 reviews shown) and clear, crawlable pricing tiers on its own site. The biggest risk pattern is conversion-stage “Manychat pricing / plans” and evaluation-stage “Manychat vs X” where AI needs first-party, structured comparison and SoftwareApplication/FAQ schema—your site has pricing content, but comparison/structured-data gaps likely limit rich AI answers.
Based on audit of manychat.com · Oct 9, 2026