[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Manhattan Associates
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

63

Growing Presence

Avg Prompt Score

93

across 557 prompts

AI Share of Voice

94%

across 541 prompts

Category Visibility

#2

in Warehouse Management (WMS) · of 55

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
414 category
Cited99%408/414
Share of voice92%avg
Engine consensus60%of engines
Competitors5.3avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.0avg/cited
Sentiment—no data
💰Conversion
7 brand-level
Cited71%5/7
Share of voice71%avg
Engine consensus100%of engines
Competitors3.0avg/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.

Categories Manhattan Associates is visible in

1
  • Warehouse Management (WMS)2 of 55→

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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