RRepoGEO

REPOGEO REPORT · LITE

shengshu-ai/minWM

Default branch main · commit 74638bc7 · scanned 6/6/2026, 6:13:07 PM

GitHub: 545 stars · 7 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 shengshu-ai/minWM, 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 to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["world-model", "video-generation", "action-conditioned", "real-time", "machine-learning-framework", "deep-learning", "ai-research", "generative-ai"]
  • highreadme#2
    Strengthen the README's opening sentence to prevent miscategorization

    Why:

    CURRENT
    > A full-stack framework and tutorial for newcomers, rather than a specific model.
    COPY-PASTE FIX
    > minWM is a full-stack framework and tutorial for building real-time, action-conditioned video world models, designed for newcomers to the field.
  • mediumreadme#3
    Add a 'Who is minWM for?' section to clarify audience and scope

    Why:

    COPY-PASTE FIX
    ## ✨ Who is minWM for?
minWM is designed for AI researchers and developers who want to build, experiment with, and understand real-time, action-conditioned video world models. It provides the foundational framework and tools, rather than being a simulation environment or a pre-trained model itself. If you're looking to implement and iterate on world model architectures, minWM offers a comprehensive starting point.

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 shengshu-ai/minWM
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
pytorch/lightning
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. pytorch/lightning · recommended 1×
  2. facebookresearch/hydra · recommended 1×
  3. wandb/wandb · recommended 1×
  4. google/jax · recommended 1×
  5. google/flax · recommended 1×
  • CATEGORY QUERY
    Seeking a full-stack framework for developing action-conditioned video world models.
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning (pytorch/lightning)
    2. Hydra (facebookresearch/hydra)
    3. Weights & Biases (W&B) (wandb/wandb)
    4. JAX (google/jax)
    5. Flax (google/flax)
    6. Haiku (deepmind/dm-haiku)
    7. Optax (deepmind/optax)
    8. TensorFlow (tensorflow/tensorflow)
    9. Keras (keras-team/keras)
    10. TensorFlow Extended (TFX) (tensorflow/tfx)
    11. PyTorch (pytorch/pytorch)
    12. Hugging Face Accelerate (huggingface/accelerate)
    13. MLflow (mlflow/mlflow)
    14. PaddlePaddle (PaddlePaddle/Paddle)
    15. PaddleSlim (PaddlePaddle/PaddleSlim)
    16. PaddleServing (PaddlePaddle/Serving)

    AI recommended 16 alternatives but never named shengshu-ai/minWM. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources to learn and build real-time interactive world models?
    you: not recommended
    AI recommended (in order):
    1. Unity
    2. Unreal Engine
    3. Godot Engine (godotengine/godot)
    4. NVIDIA Omniverse
    5. Gazebo (osrf/gazebo)
    6. Blender (blender/blender)

    AI recommended 6 alternatives but never named shengshu-ai/minWM. 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 shengshu-ai/minWM?
    pass
    AI named shengshu-ai/minWM explicitly

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

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

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

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shengshu-ai/minWM — 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