RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langgraph-bigtool

Default branch main · commit 616a8ad0 · scanned 6/8/2026, 11:06:52 AM

GitHub: 541 stars · 43 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/langgraph-bigtool, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    langgraph, langchain, llm-agents, tool-retrieval, large-language-models, agent-framework, python-library, ai-tools
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://python.langchain.com/docs/langgraph/
  • mediumreadme#3
    Refine README opening to highlight unique value for complex tools

    Why:

    CURRENT
    # langgraph-bigtool

`langgraph-bigtool` is a Python library for creating LangGraph agents that can access large numbers of tools.
    COPY-PASTE FIX
    # langgraph-bigtool

`langgraph-bigtool` is a Python library designed to empower LangGraph agents with the ability to effectively utilize and manage a large, diverse set of tools, including those requiring complex, multi-step interactions. It solves the challenge of scaling agent capabilities beyond simple, single-call tools.

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/langgraph-bigtool
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI Assistants API · recommended 2×
  4. Haystack · recommended 2×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that can effectively utilize hundreds of available tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. OpenAI Assistants API
    5. Haystack
    6. transformers
    7. guidance

    AI recommended 7 alternatives but never named langchain-ai/langgraph-bigtool. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a library to integrate many tools into an agent framework with efficient retrieval.
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. OpenAI Assistants API
    5. AutoGPT
    6. BabyAGI

    AI recommended 6 alternatives but never named langchain-ai/langgraph-bigtool. 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/langgraph-bigtool?
    pass
    AI named langchain-ai/langgraph-bigtool 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/langgraph-bigtool in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langgraph-bigtool 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/langgraph-bigtool solve, and who is the primary audience?
    pass
    AI named langchain-ai/langgraph-bigtool explicitly

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

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