RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langserve

Default branch main · commit 27e57afe · scanned 6/21/2026, 1:56:19 PM

GitHub: 2,330 stars · 272 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 repository description to clarify its purpose and status

    Why:

    CURRENT
    LangServe 🦜️🏓
    COPY-PASTE FIX
    DEPRECATED: Deploy LangChain runnables and chains as REST APIs. For new projects, use LangGraph Platform.
  • highhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/langchain-ai/langserve/blob/main/MIGRATION.md
  • mediumreadme#3
    Clarify the project's license in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README: `## License
This project uses a custom license. Please refer to the [LICENSE file](LICENSE) for full details.`

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
FastAPI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. FastAPI · recommended 2×
  2. Starlette · recommended 2×
  3. Flask · recommended 1×
  4. Django REST Framework · recommended 1×
  5. Gradio · recommended 1×
  • CATEGORY QUERY
    How to expose LangChain models as a production-ready REST API endpoint?
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Flask
    3. Django REST Framework
    4. Starlette
    5. Gradio

    AI recommended 5 alternatives but never named langchain-ai/langserve. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python library to create FastAPI endpoints for AI models.
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Pydantic
    3. Uvicorn
    4. Starlette
    5. SQLModel

    AI recommended 5 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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langchain-ai/langserve — 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