AI Visibility
measured66/100
Frequently Cited · in AI Agent Builders
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals53/100
Some gaps
Avg Prompt Score
44
across 1111 prompts
AI Share of Voice
44%
across 1111 prompts
Critical Issues
6
critical + high
Shortlist Position
45/80
Challenger · Agent Frameworks Discovery
How AI Visibility breaks down
in AI Agent Builders
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 LangChain is visible in
6Your visibility gap
LangChain surfaces in 45/80 Agent Frameworks discovery prompts. Claim this profile to see which 35 prompts you're missing and how to win them.
Executive summary
LangChain is already a strong AI-citation candidate for agent-framework discovery/evaluation because it is cited by AI engines for agent-framework use cases and has a live, crawlable pricing page (LangSmith) plus a substantial G2 review presence. The biggest citation risk is evaluation-stage “tooling for specific roles” queries (e.g., network admins, ops managers, IT support, developers) where the brand is currently invisible; the highest-ROI fix is to publish role-specific, agent-framework evaluation pages that directly answer those exact gap queries and are internally linked from the agent-framework hub.
Based on audit of langchain.com · May 7, 2026