[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Manh
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

63

Growing Presence

Avg Prompt Score

77

across 26 prompts

AI Share of Voice

100%

across 10 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
14 category
Cited100%14/14
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited50%2/4
Share of voice50%avg
Engine consensus—
Competitors0.0avg/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.

Executive summary

manh.com is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., G2 seller page shows 52 reviews with a 4.0/5 average) and first-party, brand-led comparison pages (e.g., “Manhattan Active Transportation Management vs. Blue Yonder TMS”). The single highest-ROI fix is to improve crawlable pricing + structured product schema (SoftwareApplication/FAQPage) so AI can answer “pricing” and “integration/evaluation” prompts directly from manh.com rather than relying on third parties.

Based on audit of manh.com · May 7, 2026

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