RRepoGEO

REPOGEO REPORT · LITE

XueZeyue/DanceGRPO

Default branch main · commit 15cc71d5 · scanned 5/13/2026, 10:48:08 PM

GitHub: 1,595 stars · 80 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 XueZeyue/DanceGRPO, 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 specific domain

    Why:

    CURRENT
    This is the official implementation for paper, DanceGRPO: Unleashing GRPO on Visual Generation.
    COPY-PASTE FIX
    This is the official implementation for the paper DanceGRPO: Unleashing GRPO on Visual Generation, a framework specifically designed for generating diverse and controllable human dance motions by leveraging state-of-the-art visual generation models like Stable Diffusion and FLUX.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    dance-generation, visual-generation, grpo, stable-diffusion, flux, hunyuanvideo, skyreels-i2v, qwen-image, deep-learning, machine-learning, computer-vision, generative-ai
  • mediumabout#3
    Refine the repository description for clarity and specificity

    Why:

    CURRENT
    An official implementation of DanceGRPO: Unleashing GRPO on Visual Generation
    COPY-PASTE FIX
    Official implementation of DanceGRPO: Unleashing Guided Policy Optimization (GRPO) for diverse and controllable human dance motion generation using state-of-the-art visual models.

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 XueZeyue/DanceGRPO
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. DeepSpeed · recommended 1×
  3. Hugging Face Accelerate · recommended 1×
  4. JAX · recommended 1×
  5. Flax · recommended 1×
  • CATEGORY QUERY
    How can I efficiently train large-scale visual generation models using advanced optimization techniques?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning
    2. DeepSpeed
    3. Hugging Face Accelerate
    4. JAX
    5. Flax
    6. Haiku
    7. NVIDIA Apex
    8. Optuna
    9. Ray Tune

    AI recommended 9 alternatives but never named XueZeyue/DanceGRPO. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps integrate and train multiple state-of-the-art image and video generation models?
    you: not recommended
    AI recommended (in order):
    1. PyTorch Lightning (PyTorchLightning/pytorch-lightning)
    2. Hugging Face Transformers (huggingface/transformers)
    3. Diffusers library (huggingface/diffusers)
    4. Keras (keras-team/keras)
    5. JAX (google/jax)
    6. Flax (google/flax)
    7. Haiku (deepmind/dm-haiku)
    8. TensorFlow (tensorflow/tensorflow)

    AI recommended 8 alternatives but never named XueZeyue/DanceGRPO. 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 XueZeyue/DanceGRPO?
    pass
    AI named XueZeyue/DanceGRPO explicitly

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

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

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

Embed your GEO score

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MARKDOWN (README)
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XueZeyue/DanceGRPO — 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