RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langserve

Default branch main · commit 27e57afe · scanned 5/11/2026, 9:41:34 AM

GitHub: 2,328 stars · 272 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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/langserve, 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
    Update the 'about' description to clarify purpose and deprecation

    Why:

    CURRENT
    LangServe 🦜️🏓
    COPY-PASTE FIX
    LangServe (DEPRECATED) helped developers deploy LangChain runnables and chains as scalable REST APIs, integrated with FastAPI. Consider LangGraph Platform for new projects.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://python.langchain.com/docs/langserve/
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    ## License
This project's licensing details can be found in the `LICENSE` file.

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/langserve
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
kubernetes/kubernetes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. kubernetes/kubernetes · recommended 1×
  2. kserve/kserve · recommended 1×
  3. AWS SageMaker Endpoints · recommended 1×
  4. Hugging Face Inference Endpoints · recommended 1×
  5. ray-project/ray · recommended 1×
  • CATEGORY QUERY
    How to deploy large language model application workflows as a scalable REST API?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (kubernetes/kubernetes)
    2. KServe (kserve/kserve)
    3. AWS SageMaker Endpoints
    4. Hugging Face Inference Endpoints
    5. Ray Serve (ray-project/ray)
    6. OpenAI API
    7. Azure OpenAI Service
    8. Triton Inference Server (triton-inference-server/server)
    9. FastAPI (tiangolo/fastapi)
    10. Uvicorn (encode/uvicorn)
    11. Gunicorn (benoitc/gunicorn)

    AI recommended 11 alternatives but never named langchain-ai/langserve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks simplify building and serving generative AI models as web APIs?
    you: not recommended
    AI recommended (in order):
    1. Gradio
    2. FastAPI
    3. Hugging Face Transformers
    4. Flask
    5. Django REST Framework
    6. Ray Serve
    7. TorchServe
    8. TensorFlow Serving

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite