AI Visibility
measured47/100
Frequently Cited · in Observability & APM
measured from this brand's audit prompts
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
12
across 191 prompts
AI Share of Voice
14%
across 191 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Observability & APM
Composite = 50% coverage + 30% engine breadth + 20% position, measured across this brand's own audit prompts (it isn't in a tracked category rollup yet). 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.
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.
Categories Azure Time Series Insights is visible in
2Executive 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