AI Visibility
measured33/100
Emerging · in Marketing Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals63/100
Some gaps
Avg Prompt Score
6
across 211 prompts
AI Share of Voice
2%
across 192 prompts
Critical Issues
4
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.
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.
Act-On is very likely to be cited by AI engines for evaluation-stage queries because it has strong primary review authority on G2 (1,059 reviews, 4.1) and a crawlable, tiered pricing page. The biggest citation risk is missing/unclear structured data signals (SoftwareApplication/FAQPage) and potential gaps in enterprise analyst surfaces (Gartner Peer Insights/Forrester/IDC), which can reduce shortlist inclusion for “best enterprise marketing automation” and “Act-On vs X” questions.
Based on audit of act-on.com · Apr 1, 2026