RRepoGEO

REPOGEO REPORT · LITE

aiming-lab/MetaClaw

Default branch main · commit fc163ba8 · scanned 5/14/2026, 11:22:28 AM

GitHub: 3,383 stars · 438 forks

AI VISIBILITY SCORE
40 /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
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 aiming-lab/MetaClaw, 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 paragraph to clarify agent type and domain

    Why:

    CURRENT
    <p>Inspired by how brains learn. Meta-learn and evolve your 🦞 from every conversation in the wild. No GPU required.
    COPY-PASTE FIX
    <p>MetaClaw enables you to build and evolve reinforcement learning (RL) agents for complex tasks like robotics or game AI. Inspired by how brains learn, Meta-learn and evolve your 🦞 from every interaction in the wild. No GPU required.
  • mediumtopics#2
    Refine repository topics to better reflect the core domain

    Why:

    CURRENT
    agent, ai-agent, continual-learning, fine-tuning, llm, lora, meta-learning, metaclaw, online-learning, openclaw, reinforcement-learning, skill-learning, tinker
    COPY-PASTE FIX
    agent, ai-agent, continual-learning, embodied-ai, fine-tuning, game-ai, meta-learning, metaclaw, online-learning, openclaw, reinforcement-learning, rl-agents, robotics, skill-learning, tinker
  • lowhomepage#3
    Create a dedicated project homepage for better discoverability

    Why:

    CURRENT
    https://arxiv.org/abs/2603.17187
    COPY-PASTE FIX
    Create a dedicated project homepage (e.g., GitHub Pages) at `https://aiming-lab.github.io/MetaClaw` that serves as a primary entry point, linking to the arXiv paper for academic details.

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 aiming-lab/MetaClaw
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. Rasa · recommended 2×
  3. Pinecone · recommended 1×
  4. Weaviate · recommended 1×
  5. ChromaDB · recommended 1×
  • CATEGORY QUERY
    How to develop an AI agent that continually learns and evolves from conversations?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Pinecone
    3. Weaviate
    4. ChromaDB
    5. OpenAI API
    6. GPT-4
    7. GPT-3.5 Turbo
    8. Hugging Face Transformers
    9. DialoGPT
    10. BlenderBot
    11. Rasa
    12. DeepMind's AlphaGo
    13. AlphaZero
    14. RLlib
    15. Stable Baselines3

    AI recommended 15 alternatives but never named aiming-lab/MetaClaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for building self-evolving conversational AI agents, even without powerful GPUs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Haystack
    3. LlamaIndex
    4. Rasa
    5. OpenAI Assistants API
    6. AutoGen

    AI recommended 6 alternatives but never named aiming-lab/MetaClaw. 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 aiming-lab/MetaClaw?
    pass
    AI named aiming-lab/MetaClaw explicitly

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

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

    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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