RRepoGEO

REPOGEO REPORT · LITE

Gen-Verse/OpenClaw-RL

Default branch main · commit f48ac358 · scanned 5/27/2026, 10:42:47 AM

GitHub: 5,392 stars · 585 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 Gen-Verse/OpenClaw-RL, 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 "OpenClaw" and LLM agent framework positioning in README's opening

    Why:

    CURRENT
    <p><b>Empowering OpenClaw with RL — Train a personalized agent simply by talking to it.</b></p>
    COPY-PASTE FIX
    <p><b>OpenClaw-RL is a novel framework for building and training AI agents. Empowering these agents with Reinforcement Learning, you can train a personalized agent simply by talking to it.</b></p>
  • mediumtopics#2
    Add specific topics related to LLM agents and human-in-the-loop reinforcement learning

    Why:

    CURRENT
    async, coding, grpo, gui-application, memory-systems, on-policy-distillation, open-claw, openclaw-skills, rlhf, sglang, skill-learning, slime, tinker
    COPY-PASTE FIX
    async, coding, grpo, gui-application, memory-systems, on-policy-distillation, open-claw, openclaw-skills, rlhf, sglang, skill-learning, slime, tinker, llm-agents, agentic-ai, human-in-the-loop-rl, natural-language-programming
  • lowreadme#3
    Add a dedicated "Comparison" section to the README

    Why:

    COPY-PASTE FIX
    ## ⚖️ Comparison to Alternatives

OpenClaw-RL stands apart from traditional RL libraries like Ray RLlib or Stable Baselines3 by focusing on agentic control via natural language, rather than just algorithm implementation. Unlike LLM orchestration frameworks such as LangChain or LlamaIndex, OpenClaw-RL integrates scalable reinforcement learning and human feedback directly into the agent training loop, enabling personalized and adaptive agents for real-world tasks.

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 Gen-Verse/OpenClaw-RL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. OpenAI Assistants API · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. Hugging Face Transformers Agents · recommended 1×
  • CATEGORY QUERY
    How to train an AI agent using natural language instructions for various tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI Assistants API
    4. Microsoft Semantic Kernel
    5. Hugging Face Transformers Agents
    6. AutoGPT
    7. BabyAGI

    AI recommended 7 alternatives but never named Gen-Verse/OpenClaw-RL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for scalable reinforcement learning with human feedback in real-world environments.
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib
    2. Stable Baselines3
    3. Tianshou
    4. Acme
    5. OpenAI Baselines
    6. CleanRL

    AI recommended 6 alternatives but never named Gen-Verse/OpenClaw-RL. 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 Gen-Verse/OpenClaw-RL?
    pass
    AI named Gen-Verse/OpenClaw-RL explicitly

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

  • If a team adopts Gen-Verse/OpenClaw-RL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Gen-Verse/OpenClaw-RL 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 Gen-Verse/OpenClaw-RL solve, and who is the primary audience?
    pass
    AI named Gen-Verse/OpenClaw-RL 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
  • Prioritized action items8 vs 3 in Lite