RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langchain-aiplugin

Default branch main · commit 78ed01b8 · scanned 6/13/2026, 10:58:11 AM

GitHub: 506 stars · 41 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/langchain-aiplugin, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    Deploy LangChain applications as OpenAI-compatible AI plugins, enabling LLMs to interact with and leverage LangChain's full orchestration capabilities, agents, and tools.
  • mediumreadme#2
    Reposition the README introduction to highlight the core differentiator

    Why:

    CURRENT
    # LangChain as an AIPlugin
    
    ## Introduction
    
    LangChain can flexibly integrate with the ChatGPT AI plugin ecosystem.
     
    LangChain chains and agents can themselves be deployed as a plugin that can communicate with other agents or with ChatGPT itself.
    COPY-PASTE FIX
    # LangChain as an AIPlugin
    
    ## Introduction
    
    This repository provides the framework to deploy *any* LangChain application, including complex chains and agents, as a single OpenAI-compatible AI plugin. This enables large language models (LLMs) to directly leverage the full power of LangChain's orchestration, agents, and broader tool ecosystem through a standardized plugin interface.

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/langchain-aiplugin
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPTs / Custom GPTs
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPTs / Custom GPTs · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. tiangolo/fastapi · recommended 1×
  4. pallets/flask · recommended 1×
  5. run-llama/llama_index · recommended 1×
  • CATEGORY QUERY
    How to deploy custom AI agents as a plugin for large language model platforms?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPTs / Custom GPTs
    2. LangChain (langchain-ai/langchain)
    3. FastAPI (tiangolo/fastapi)
    4. Flask (pallets/flask)
    5. LlamaIndex (run-llama/llama_index)
    6. Google Cloud Vertex AI Extensions
    7. Microsoft Azure AI Studio
    8. Semantic Kernel (microsoft/semantic-kernel)
    9. ASP.NET Core (dotnet/aspnetcore)
    10. Hugging Face Agents
    11. Gradio (gradio-app/gradio)
    12. Streamlit (streamlit/streamlit)

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

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework to integrate AI chains with conversational AI plugin systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. OpenAI Assistants API
    6. Botpress
    7. Rasa

    AI recommended 7 alternatives but never named langchain-ai/langchain-aiplugin. 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/langchain-aiplugin?
    pass
    AI did not name langchain-ai/langchain-aiplugin — 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/langchain-aiplugin in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langchain-aiplugin 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/langchain-aiplugin solve, and who is the primary audience?
    pass
    AI named langchain-ai/langchain-aiplugin explicitly

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

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite