RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langsmith-sdk

Default branch main · commit 84b71442 · scanned 6/12/2026, 9:56:39 AM

GitHub: 923 stars · 248 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface langchain-ai/langsmith-sdk, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README H1 to specify the SDK's core purpose

    Why:

    CURRENT
    # LangSmith Client SDKs
    COPY-PASTE FIX
    # LangSmith SDK: Client Libraries for LLM Observability, Evaluation, and Debugging
  • mediumtopics#2
    Expand repository topics to include specific functionalities and targets

    Why:

    CURRENT
    evaluation, language-model, observability
    COPY-PASTE FIX
    evaluation, language-model, observability, debugging, llm-monitoring, ai-agents
  • lowreadme#3
    Clarify the README's opening sentence to emphasize the SDK's value proposition

    Why:

    CURRENT
    This repository contains the Python and Javascript SDK's for interacting with the LangSmith platform.
    COPY-PASTE FIX
    The LangSmith SDK provides Python and JavaScript client libraries to instrument, debug, evaluate, and monitor your language model applications and AI agents on the LangSmith platform.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface langchain-ai/langsmith-sdk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weights & Biases
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Weights & Biases · recommended 1×
  2. MLflow · recommended 1×
  3. Arize AI · recommended 1×
  4. LangChain · recommended 1×
  5. Deepchecks · recommended 1×
  • CATEGORY QUERY
    How can I effectively evaluate and monitor my language model applications' performance?
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases
    2. MLflow
    3. Arize AI
    4. LangChain
    5. Deepchecks
    6. Prometheus
    7. Grafana
    8. Ragas
    9. LMEval

    AI recommended 9 alternatives but never named langchain-ai/langsmith-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools provide observability and debugging for AI agents in Python or JavaScript?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. OpenTelemetry
    3. Jaeger (jaegertracing/jaeger)
    4. Honeycomb
    5. WandB Prompts (wandb/wandb)
    6. Helicone
    7. Datadog APM
    8. Sentry (getsentry/sentry)

    AI recommended 8 alternatives but never named langchain-ai/langsmith-sdk. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of langchain-ai/langsmith-sdk?
    pass
    AI named langchain-ai/langsmith-sdk explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts langchain-ai/langsmith-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langsmith-sdk explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo langchain-ai/langsmith-sdk solve, and who is the primary audience?
    pass
    AI named langchain-ai/langsmith-sdk explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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