RRepoGEO

REPOGEO REPORT · LITE

Darwin-lfl/langmanus

Default branch main · commit a69eabf7 · scanned 5/26/2026, 6:53:11 AM

GitHub: 1,317 stars · 1,199 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 Darwin-lfl/langmanus, 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
    Clarify the project's core purpose in the README's main heading

    Why:

    CURRENT
    # LangManus
    COPY-PASTE FIX
    # LangManus: An Open-Source AI Automation Framework
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai, automation, language-models, llm, agents, web-search, code-execution, framework, open-source
  • mediumreadme#3
    Add a brief comparison to leading AI agent frameworks in the README

    Why:

    COPY-PASTE FIX
    Add to the 'Why LangManus?' section: 'Unlike general-purpose frameworks such as LangChain or LlamaIndex, LangManus focuses on providing a community-driven, integrated automation framework specifically designed for combining language models with specialized tools like web search and code execution.'

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 Darwin-lfl/langmanus
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. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How can I combine language models with web search and code execution for automation tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. Microsoft Semantic Kernel
    5. CrewAI
    6. Haystack

    AI recommended 6 alternatives but never named Darwin-lfl/langmanus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open source frameworks exist for building AI agents that integrate external tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. Marvin

    AI recommended 6 alternatives but never named Darwin-lfl/langmanus. 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 Darwin-lfl/langmanus?
    pass
    AI named Darwin-lfl/langmanus explicitly

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

  • If a team adopts Darwin-lfl/langmanus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Darwin-lfl/langmanus 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 Darwin-lfl/langmanus solve, and who is the primary audience?
    pass
    AI named Darwin-lfl/langmanus explicitly

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

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Darwin-lfl/langmanus — 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