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ProductCitation IndexBlogBook
[unCited]/Azure Machine Learning
ProductCitation IndexBlogBook
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AEO Score

78

Strong Presence

Avg Prompt Score

99

across 260 prompts

AI Share of Voice

100%

across 260 prompts

Category Visibility

#20

in LLM Platforms · of 39

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
10 prompts
Cited30%3/10
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentpositive11+ / 19~ / 0−
🛡️Trust
4 prompts
Cited75%3/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentneutral2+ / 10~ / 0−
💰Conversion
4 prompts
Cited75%3/4
Share of voice100%avg
Engine consensus100%of engines
Competitors0.0avg/cited
Sentimentneutral0+ / 12~ / 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 Azure Machine Learning is visible in

1
  • LLM Platforms20 of 39→

Executive summary

microsoft.com is extremely likely to be cited by AI engines for B2B evaluation and trust queries because it has massive third-party review coverage (e.g., Microsoft 365 has 5,767 G2 reviews at 4.6/5) and strong enterprise analyst presence (Gartner Peer Insights pages exist). The single highest-ROI fix is to ensure first-party, brand-led evaluation surfaces (e.g., “Microsoft 365 vs X” pages) are consistently crawlable/SSR and structured for AI extraction—because pricing and comparison intent queries are where citation selection is most competitive.

Based on audit of microsoft.com · Apr 26, 2026

Built for The Citation Economy