AI Visibility
measured64/100
Frequently Cited · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
63
across 16 prompts
AI Share of Voice
98%
across 16 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Agent Frameworks
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. 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 Microsoft AutoGen is visible in
1Executive 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