AI Visibility
measured16/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
16
across 370 prompts
AI Share of Voice
16%
across 370 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Marketing Automation
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.
MoEngage is a B2B customer engagement platform with strong AI-citation inputs from G2 (523 reviews) and Gartner Peer Insights “Customers’ Choice” mentions. The biggest AI citation risk is conversion-stage crawlability/structured extraction: pricing appears to be tiered by plan names but may not expose clear, crawlable per-tier pricing to AI crawlers, and there’s no verified evidence (from live checks) of SoftwareApplication/FAQPage schema or llms.txt/robots.txt accessibility for AI bots.
Based on audit of moengage.com · Oct 7, 2026