AI Visibility
measured65/100
Frequently Cited · in Warehouse Management (WMS)
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
74
across 769 prompts
AI Share of Voice
75%
across 754 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Warehouse Management (WMS)
Composite = 50% coverage + 30% engine breadth + 20% position, 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.
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