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

50

Growing Presence

Avg Prompt Score

71

across 678 prompts

AI Share of Voice

71%

across 663 prompts

Category Visibility

#7

in ERP · of 73

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
620 category
Cited72%446/620
Share of voice69%avg
Engine consensus40%of engines
Competitors1.5avg/cited
Sentiment—no data
⚖️Evaluation
3 brand-level
Cited67%2/3
Share of voice67%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited40%2/5
Share of voice40%avg
Engine consensus100%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 Infor is visible in

3
  • ERP7 of 73→
  • HRIS31 of 106→
  • Business Intelligence44 of 148→

Executive summary

Infor is a strong B2B candidate for AI citation because it has substantial third-party review presence (e.g., G2 seller page and multiple product review pages) and clear enterprise analyst signaling (e.g., Gartner Magic Quadrant Leader for CPQ). The biggest AI-citation risk is evaluation-stage queries that require first-party, crawlable comparison and pricing content ("Infor vs X" and "Infor pricing" patterns), plus missing/uncertain structured-data/AI-map signals (SoftwareApplication/FAQPage/llms.txt not confirmed). Highest-ROI fix: publish/ensure crawlable first-party evaluation pages (brand-led comparisons and a publicly readable pricing page) and add/verify SoftwareApplication + FAQPage schema on those pages.

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

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