RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langsmith-cookbook

Default branch main · commit 1cc7d013 · scanned 5/9/2026, 1:42:25 AM

GitHub: 1,022 stars · 180 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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-cookbook, 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
  • highabout#1
    Add a concise description to the repo's About section

    Why:

    COPY-PASTE FIX
    Practical guide and examples for mastering LangSmith: debug, evaluate, test, and improve your LLM applications with real-world use cases.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    langsmith, langchain, llm, generative-ai, ai-applications, debugging, evaluation, testing, machine-learning, python-sdk, examples, cookbook
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. For example, consider adding an `MIT License` or `Apache-2.0 License` to clarify usage rights for the code examples.

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-cookbook
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangSmith
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangSmith · recommended 1×
  2. OpenTelemetry · recommended 1×
  3. Jaeger · recommended 1×
  4. Honeycomb · recommended 1×
  5. WandB Prompts · recommended 1×
  • CATEGORY QUERY
    How to debug and improve performance of large language model applications?
    you: not recommended
    AI recommended (in order):
    1. LangSmith
    2. OpenTelemetry
    3. Jaeger
    4. Honeycomb
    5. WandB Prompts
    6. Deepchecks LLM Evaluation
    7. Helicone
    8. Prometheus
    9. Grafana
    10. Datadog
    11. PyTorch Profiler
    12. TensorFlow Profiler

    AI recommended 12 alternatives but never named langchain-ai/langsmith-cookbook. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help with evaluating and testing generative AI application outputs?
    you: not recommended
    AI recommended (in order):
    1. Scale AI
    2. Appen
    3. Surge AI
    4. LangChain Evaluation
    5. Ragas
    6. DeepEval
    7. Weights & Biases Prompts
    8. Vellum
    9. Humanloop
    10. Hugging Face Evaluate
    11. NLTK
    12. spaCy
    13. OpenAI Moderation API
    14. Google Cloud Perspective API
    15. Gretel.ai
    16. Mostly AI

    AI recommended 16 alternatives but never named langchain-ai/langsmith-cookbook. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    Suggestion:

  • 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-cookbook?
    pass
    AI did not name langchain-ai/langsmith-cookbook — likely talking about a different project

    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-cookbook in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langsmith-cookbook 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-cookbook solve, and who is the primary audience?
    pass
    AI named langchain-ai/langsmith-cookbook explicitly

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

Embed your GEO score

Drop this badge into the README of langchain-ai/langsmith-cookbook. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/langchain-ai/langsmith-cookbook.svg)](https://repogeo.com/en/r/langchain-ai/langsmith-cookbook)
HTML
<a href="https://repogeo.com/en/r/langchain-ai/langsmith-cookbook"><img src="https://repogeo.com/badge/langchain-ai/langsmith-cookbook.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

langchain-ai/langsmith-cookbook — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite