RRepoGEO

REPOGEO REPORT · LITE

OpenDCAI/OpenWorldLib

Default branch main · commit f3d70e2c · scanned 5/27/2026, 11:38:23 AM

GitHub: 788 stars · 42 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 OpenDCAI/OpenWorldLib, 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 statement to clarify its role as a unified framework

    Why:

    CURRENT
    #### Welcome to join us open-source world model project !
    COPY-PASTE FIX
    OpenWorldLib is a unified codebase and framework for building advanced world models, specializing in generative AI applications and large-scale 3D interactive simulation.
  • mediumhomepage#2
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://opendcai.github.io/OpenWorldLib
  • lowtopics#3
    Add explicit 'framework' and 'generative-ai' topics

    Why:

    CURRENT
    3d-scene-generation, awesome-world-model, diffusion-models, gaussian-splatting, hunyuan-world, lingbot-world, simulator, vggt, video-editing, vla, vlm, world-model, world-models
    COPY-PASTE FIX
    3d-scene-generation, awesome-world-model, diffusion-models, gaussian-splatting, hunyuan-world, lingbot-world, simulator, vggt, video-editing, vla, vlm, world-model, world-models, ai-framework, generative-ai-framework, 3d-simulation-framework

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 OpenDCAI/OpenWorldLib
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow · recommended 2×
  2. DeepMind's Acme · recommended 1×
  3. Dreamer · recommended 1×
  4. OpenAI Gym · recommended 1×
  5. Farama Foundation Gymnasium · recommended 1×
  • CATEGORY QUERY
    What frameworks exist for building advanced world models for generative AI applications?
    you: not recommended
    AI recommended (in order):
    1. DeepMind's Acme
    2. Dreamer
    3. OpenAI Gym
    4. Farama Foundation Gymnasium
    5. PyTorch Lightning
    6. TensorFlow
    7. Keras
    8. JAX
    9. Haiku
    10. Flax

    AI recommended 10 alternatives but never named OpenDCAI/OpenWorldLib. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a unified codebase for 3D scene generation and simulation using diffusion models.
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Omniverse
    2. Unity 3D
    3. Unreal Engine
    4. Blender
    5. PyTorch3D
    6. Kaolin
    7. Gradio
    8. Streamlit
    9. Diffusers
    10. PyTorch
    11. TensorFlow
    12. PyBullet
    13. MuJoCo

    AI recommended 13 alternatives but never named OpenDCAI/OpenWorldLib. 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 OpenDCAI/OpenWorldLib?
    pass
    AI named OpenDCAI/OpenWorldLib explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of OpenDCAI/OpenWorldLib. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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OpenDCAI/OpenWorldLib — 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