AI Visibility
measured49/100
Frequently Cited · in Email Marketing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals61/100
Some gaps
Avg Prompt Score
20
across 355 prompts
AI Share of Voice
20%
across 355 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Email Marketing
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.
Mailgun is likely to be cited by AI engines for evaluation and conversion queries because it has strong third-party review presence (e.g., 319 G2 reviews) and first-party comparison content under /compare/. The single highest-ROI fix is to strengthen structured data for software/product pages (SoftwareApplication + FAQPage + AggregateRating where applicable) so AI engines can reliably extract “what it is / pricing / integrations” in evaluation-stage answers.
Based on audit of mailgun.com · Aug 30, 2026