RRepoGEO

REPOGEO REPORT · LITE

farizrahman4u/loopgpt

Default branch main · commit 47c32a2f · scanned 5/12/2026, 1:52:13 PM

GitHub: 1,452 stars · 131 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 farizrahman4u/loopgpt, 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 specific topics for agent frameworks and Python

    Why:

    CURRENT
    chatgpt, gpt, gpt4, llms
    COPY-PASTE FIX
    python, llm-agents, agent-framework, auto-gpt-framework, human-in-the-loop, modular-framework, gpt, llms
  • highreadme#2
    Strengthen README H1 and opening paragraph with key differentiators

    Why:

    CURRENT
    <H1>
    <p align="center">
      L♾️pGPT
    </p>
    </H1>
    <p align="center">
        <b>A Modular Auto-GPT Framework</b>
    </p>
    
    L♾️pGPT is a re-implementation of the popular Auto-GPT project as a proper python package, written with modularity and extensibility in mind.
    COPY-PASTE FIX
    <H1>
    <p align="center">
      L♾️pGPT: A Modular Python Framework for Autonomous LLM Agents
    </p>
    </H1>
    <p align="center">
        <b>Build Extensible, Self-Correcting Agents with Human-in-the-Loop Capabilities and GPT-3.5 Optimization</b>
    </p>
    
    L♾️pGPT is a re-implementation of the popular Auto-GPT project, designed as a proper python package and a highly modular, extensible framework for building autonomous LLM agents. It offers "Pythonic" development, human-in-the-loop feedback, and efficient GPT-3.5 optimization.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Insert relevant project URL, e.g., documentation, website, or a dedicated landing page]

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 farizrahman4u/loopgpt
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. Haystack · recommended 2×
  4. AutoGen · recommended 1×
  5. CrewAI · recommended 1×
  • CATEGORY QUERY
    What are the best modular Python frameworks for building autonomous LLM agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. CrewAI
    6. AgentOps

    AI recommended 6 alternatives but never named farizrahman4u/loopgpt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an extensible framework for creating self-improving agents, especially with human-in-the-loop and GPT-3.5 optimization.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. OpenAI Function Calling
    6. Assistants API
    7. Rasa

    AI recommended 7 alternatives but never named farizrahman4u/loopgpt. 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 farizrahman4u/loopgpt?
    pass
    AI named farizrahman4u/loopgpt explicitly

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

  • If a team adopts farizrahman4u/loopgpt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named farizrahman4u/loopgpt 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 farizrahman4u/loopgpt solve, and who is the primary audience?
    pass
    AI named farizrahman4u/loopgpt explicitly

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

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