AEO Score
50
Growing Presence
Avg Prompt Score
50
across 16 prompts
Critical Issues
4
critical + high
Per-stage performance
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
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