[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Act On
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

63

Growing Presence

Avg Prompt Score

6

across 211 prompts

AI Share of Voice

2%

across 192 prompts

Category Visibility

#67

in Marketing Automation · of 105

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
120 brand-level
Cited4%5/120
Share of voice2%avg
Engine consensus40%of engines
Competitors23.6avg/cited
Sentiment—no data
⚖️Evaluation
15 brand-level
Cited67%10/15
Share of voice62%avg
Engine consensus33%of engines
Competitors0.7avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited63%5/8
Share of voice46%avg
Engine consensus33%of engines
Competitors2.0avg/cited
Sentiment—no data
💰Conversion
8 brand-level
Cited75%6/8
Share of voice54%avg
Engine consensus44%of engines
Competitors2.5avg/cited
Sentiment—no data

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 Act On is visible in

1
  • Marketing Automation67 of 105→

Executive summary

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

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