RRepoGEO

REPOGEO REPORT · LITE

PaddlePaddle/PaddleMIX

Default branch develop · commit cafa04bc · scanned 6/5/2026, 9:31:41 PM

GitHub: 724 stars · 226 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 PaddlePaddle/PaddleMIX, 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
    Strengthen the README's opening statement to clarify its unique value

    Why:

    COPY-PASTE FIX
    Add a concise, high-level summary right after the language links, e.g., 'PaddleMIX is the official PaddlePaddle toolkit for large-scale multimodal generative AI, offering high-performance models and a flexible framework for diffusion, text-to-image, text-to-video, and multimodal understanding tasks.'
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to your official project landing page, e.g., 'https://www.paddlepaddle.org.cn/paddle/paddleMIX' (or similar official link).
  • mediumreadme#3
    Add a 'Why PaddleMIX?' or 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled 'Why PaddleMIX?' or 'Key Differentiators' that highlights its unique advantages, such as 'Native integration with the PaddlePaddle ecosystem for optimized performance and scalability,' and 'Comprehensive, end-to-end solutions for multimodal generative AI 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 PaddlePaddle/PaddleMIX
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
huggingface/diffusers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. huggingface/diffusers · recommended 2×
  2. Lightning-AI/lightning · recommended 2×
  3. tensorflow/tensorflow · recommended 2×
  4. keras-team/keras · recommended 2×
  5. google/jax · recommended 2×
  • CATEGORY QUERY
    Looking for a comprehensive toolkit to develop large-scale multimodal AI applications and diffusion models.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Diffusers (huggingface/diffusers)
    3. PyTorch Lightning (Lightning-AI/lightning)
    4. TensorFlow (tensorflow/tensorflow)
    5. Keras 3 (keras-team/keras)
    6. JAX (google/jax)
    7. Flax (google/flax)
    8. Haiku (deepmind/dm-haiku)
    9. OpenMMLab
    10. MMDetection (open-mmlab/mmdetection)
    11. MMGeneration (open-mmlab/mmgeneration)
    12. MMEngine (open-mmlab/mmengine)

    AI recommended 12 alternatives but never named PaddlePaddle/PaddleMIX. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a flexible framework for high-performance text-to-image and text-to-video generation tasks.
    you: not recommended
    AI recommended (in order):
    1. Diffusers (huggingface/diffusers)
    2. PyTorch Lightning (Lightning-AI/lightning)
    3. Keras (keras-team/keras)
    4. TensorFlow (tensorflow/tensorflow)
    5. JAX (google/jax)
    6. Flax (google/flax)
    7. Haiku (deepmind/dm-haiku)

    AI recommended 7 alternatives but never named PaddlePaddle/PaddleMIX. 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 PaddlePaddle/PaddleMIX?
    pass
    AI named PaddlePaddle/PaddleMIX explicitly

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

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