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

62

Growing Presence

Avg Prompt Score

61

across 16 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
4 brand-level
Cited100%4/4
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—
Competitors0.5avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited75%3/4
Share of voice75%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

sap.com is highly likely to be cited by AI engines for enterprise ERP/CRM/analytics queries because it has strong third-party authority signals (e.g., Gartner Peer Insights profile exists and TrustRadius has SAP product review pages). The biggest AI-citation risk is evaluation-stage “SAP vs competitor” and “SAP pricing” queries where AI needs crawlable, structured, first-party comparison/pricing content; the highest-ROI fix is to publish/ensure SSR-first-party evaluation pages (brand-led comparisons + machine-readable pricing) and add/verify SoftwareApplication/FAQPage structured data on those pages.

Based on audit of sap.com · Apr 29, 2026

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