AI Visibility
measured77/100
Frequently Cited · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals86/100
Strong fundamentals
Avg Prompt Score
70
across 265 prompts
AI Share of Voice
70%
across 265 prompts
Critical Issues
7
critical + high
Shortlist Position
69/80
Leader · Agent Frameworks Discovery
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 AutoGen is visible in
1Your visibility gap
AutoGen surfaces in 69/80 Agent Frameworks discovery prompts. Claim this profile to see which 11 prompts you're missing and how to win them.
Executive summary
microsoft.github.io is strongly cited for agent-framework discovery queries (e.g., customer experience/marketing/QA/testing and system integration) because it hosts first-party, developer-facing agent framework documentation. The biggest citation risk is evaluation-stage “what do [role] actually use” and conversion-stage “pricing/plans” style queries—these require crawlable, role-specific evaluation content and structured product/pricing surfaces that this domain does not consistently provide.
Based on audit of microsoft.github.io · Jun 12, 2026