AI Visibility
measured79/100
Frequently Cited · in LLMOps Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals66/100
Solid fundamentals
Avg Prompt Score
83
across 745 prompts
AI Share of Voice
83%
across 745 prompts
Critical Issues
5
critical + high
Shortlist Position
53/80
Leader · Ai Observability Discovery
How AI Visibility breaks down
in LLMOps Platforms
Composite = 60% coverage + 40% engine breadth, 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 LangSmith is visible in
2Your visibility gap
LangSmith surfaces in 53/80 Ai Observability discovery prompts. Claim this profile to see which 27 prompts you're missing and how to win them.
Executive summary
smith.langchain.com is a B2B AI observability platform (LangSmith) that already earns AI citations for core observability concepts like logging, anomaly detection, and data-flow analysis. The biggest citation blocker is conversion/evaluation crawlability: the homepage is gated behind sign-in and there is no clearly crawlable first-party pricing/comparison/FAQ content for evaluation queries, so AI engines can’t reliably cite the brand for high-intent questions like drift, compliance, lifecycle management, and multi-cloud observability.
Based on audit of smith.langchain.com · Jun 29, 2026