AI Visibility
measured25/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
27
across 275 prompts
AI Share of Voice
26%
across 257 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Marketing Automation
Composite = 60% coverage + 40% engine breadth, 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.
Per-stage performance
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.
Categories Emarsys is visible in
2Executive summary
emarsys.com is a strong B2B marketing automation citation candidate primarily because it has a large G2 review base (582 reviews, 4.3★ per your pre-verified context) and rich, outcome-dense success stories (e.g., +16% active customers in 30 days). The biggest AI-citation risk is evaluation-stage query patterns that require first-party crawlable comparison and pricing evidence (e.g., “How does SAP Engagement Cloud compare to Salesforce Marketing Cloud?” and “How much does SAP Engagement Cloud cost?”); the highest-ROI fix is to add/ensure SSR-indexable first-party comparison pages for each competitor and a publicly readable pricing page (or pricing table) that AI crawlers can access.
Based on audit of emarsys.com · Apr 1, 2026