AI Visibility
measured34/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
9
across 337 prompts
AI Share of Voice
9%
across 337 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.
Mautic is likely to be cited by AI engines for evaluation-stage queries because it has a G2 presence (21 reviews, 4.6/5) and first-party comparison pages exist (e.g., “Mautic vs Salesforce marketing solutions”). ([g2.com](https://www.g2.com/products/mautic-mautic/reviews?qs=pros-and-cons&utm_source=openai)) The single highest-ROI fix is to strengthen crawlable, schema-backed evaluation content (SoftwareApplication/FAQPage) and ensure pricing + key pages are fully crawlable/SSR so AI engines can cite them for conversion-stage prompts.
Based on audit of mautic.org · Sep 29, 2026