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

58

Growing Presence

Avg Prompt Score

57

across 283 prompts

AI Share of Voice

58%

across 283 prompts

Category Visibility

#10

in ETL & Data Integration · of 129

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
264 brand-level
Cited83%219/264
Share of voice56%avg
Engine consensus67%of engines
Competitors48.0avg/cited
Sentimentpositive6+ / 6~ / 0−
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.5avg/cited
Sentimentpositive3+ / 9~ / 0−
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice96%avg
Engine consensus96%of engines
Competitors2.8avg/cited
Sentimentneutral2+ / 9~ / 0−
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.8avg/cited
Sentimentneutral2+ / 10~ / 0−

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 Microsoft is visible in

4
  • Cloud Infrastructure1 of 16→
  • Cloud Platforms1 of 138→
  • AI Agent Builders2 of 64→
  • ETL & Data Integration10 of 129→

Executive summary

Microsoft is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review/analyst presence (e.g., Gartner Peer Insights pages for Microsoft products and large G2 seller presence). The biggest citation risk is conversion-stage “Microsoft pricing” and structured evaluation surfaces (SoftwareApplication/FAQPage) on microsoft.com pages—AI can’t reliably cite pricing or product evaluation details if key pages are not crawlable/structured for agents.

Based on audit of microsoft.com · Jun 4, 2026

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