RRepoGEO

REPOGEO REPORT · LITE

PaddlePaddle/ERNIE

Default branch release/v1.5 · commit 790a50b0 · scanned 5/24/2026, 7:57:22 AM

GitHub: 7,718 stars · 1,447 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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/ERNIE, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumtopics#1
    Add more specific "toolkit" and "training" related topics

    Why:

    CURRENT
    ernie, ernie-45, ernie-45-vl, erniekit, llm, vlm
    COPY-PASTE FIX
    ernie, ernie-45, ernie-45-vl, erniekit, llm, vlm, llm-toolkit, vlm-toolkit, model-training
  • lowreadme#2
    Add a dedicated "Features" section early in the README

    Why:

    CURRENT
    The README immediately follows the initial navigation with "📣 Recent updates".
    COPY-PASTE FIX
    Insert a new section titled "## ✨ Key Features" after the initial introductory paragraph and before "📣 Recent updates", listing 3-5 bullet points summarizing ERNIEKit's main functionalities (e.g., SFT training, function call training, multimodal data processing, padding-free strategy, WebUI support).

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/ERNIE
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ray-project/ray
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 2×
  2. Hugging Face Transformers · recommended 1×
  3. PyTorch Lightning · recommended 1×
  4. DeepSpeed · recommended 1×
  5. vLLM · recommended 1×
  • CATEGORY QUERY
    What are the best open-source toolkits for developing and deploying large language models?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. PyTorch Lightning
    3. DeepSpeed
    4. vLLM
    5. LangChain
    6. OpenAI Triton
    7. TensorFlow

    AI recommended 7 alternatives but never named PaddlePaddle/ERNIE. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I efficiently fine-tune and train large vision-language models for custom tasks?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. Hugging Face Accelerate (huggingface/accelerate)
    3. PEFT (huggingface/peft)
    4. PyTorch Lightning (Lightning-AI/lightning)
    5. DeepSpeed (microsoft/DeepSpeed)
    6. JAX (google/jax)
    7. Flax (google/flax)
    8. NVIDIA Apex (NVIDIA/apex)
    9. Weights & Biases (wandb/wandb)
    10. Ray Train (ray-project/ray)
    11. Ray Core (ray-project/ray)

    AI recommended 11 alternatives but never named PaddlePaddle/ERNIE. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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/ERNIE?
    pass
    AI named PaddlePaddle/ERNIE 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/ERNIE in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PaddlePaddle/ERNIE 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/ERNIE solve, and who is the primary audience?
    pass
    AI named PaddlePaddle/ERNIE 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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HTML
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PaddlePaddle/ERNIE — 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