RRepoGEO

REPOGEO REPORT · LITE

THUDM/WebRL

Default branch main · commit fa8439ef · scanned 6/6/2026, 9:37:46 AM

GitHub: 526 stars · 37 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 THUDM/WebRL, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-agents, reinforcement-learning, web-automation, curriculum-learning, large-language-models, webarena, foundation-models
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with a suitable open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that aligns with the project's intent.
  • mediumhomepage#3
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL to `https://arxiv.org/abs/2411.02337` (the project's paper) or a dedicated project page if one exists.

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 THUDM/WebRL
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. AutoGPT · recommended 2×
  3. BabyAGI · recommended 2×
  4. Playwright · recommended 2×
  5. Selenium · recommended 2×
  • CATEGORY QUERY
    How can I train large language models to act as autonomous agents for web tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. BabyAGI
    4. Playwright
    5. Selenium
    6. LlamaIndex
    7. Puppeteer
    8. Hugging Face Transformers
    9. Microsoft Guidance

    AI recommended 9 alternatives but never named THUDM/WebRL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for building self-evolving AI agents that interact with web environments?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Selenium
    3. LangChain
    4. LlamaIndex
    5. AutoGPT
    6. BabyAGI
    7. OpenAI Gym
    8. Gymnasium
    9. Beautiful Soup
    10. lxml

    AI recommended 10 alternatives but never named THUDM/WebRL. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 THUDM/WebRL?
    pass
    AI named THUDM/WebRL explicitly

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

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

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

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THUDM/WebRL — 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
THUDM/WebRL — RepoGEO report