RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langgraphjs

Default branch main · commit 4c6875c1 · scanned 5/9/2026, 10:07:02 AM

GitHub: 2,889 stars · 482 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 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/langgraphjs, 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
  • highreadme#1
    Reposition the README's opening sentence to emphasize stateful, cyclical agent orchestration

    Why:

    CURRENT
    LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents.
    COPY-PASTE FIX
    LangGraph.js is a declarative, graph-based orchestration framework for building resilient, stateful, and controllable LLM agents, enabling complex, cyclical workflows.
  • mediumtopics#2
    Add more specific topics related to agent orchestration and stateful workflows

    Why:

    CURRENT
    agents, ai, artificial-intelligence, generative-ai, llm, node, typescript
    COPY-PASTE FIX
    agents, ai, artificial-intelligence, generative-ai, llm, node, typescript, agent-orchestration, stateful-agents, cyclical-workflows, llm-agents
  • lowabout#3
    Refine the repository description to explicitly include 'stateful' and 'cyclical workflows'

    Why:

    CURRENT
    Framework to build resilient language agents as graphs.
    COPY-PASTE FIX
    Framework for building resilient, stateful language agents with complex, cyclical workflows defined as graphs.

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/langgraphjs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Assistants API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Assistants API · recommended 2×
  2. LangChain.js · recommended 1×
  3. Zustand · recommended 1×
  4. XState · recommended 1×
  5. LlamaIndex.TS · recommended 1×
  • CATEGORY QUERY
    How to build robust and controllable language agents with state management in TypeScript?
    you: not recommended
    AI recommended (in order):
    1. LangChain.js
    2. Zustand
    3. XState
    4. LlamaIndex.TS
    5. TypeChat
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named langchain-ai/langgraphjs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for orchestrating complex multi-step AI agent workflows?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGPT
    6. CrewAI
    7. OpenAI Assistants API

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

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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/langgraphjs?
    pass
    AI named langchain-ai/langgraphjs 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/langgraphjs in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langgraphjs 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/langgraphjs solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/langgraphjs — 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?

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  • Brand-free category queries5 vs 2 in Lite
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