RRepoGEO

REPOGEO REPORT · LITE

fendouai/Awesome-TensorFlow-Chinese

Default branch master · commit 550ea78c · scanned 5/9/2026, 11:47:57 PM

GitHub: 1,380 stars · 329 forks

AI VISIBILITY SCORE
27 /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
1 / 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 fendouai/Awesome-TensorFlow-Chinese, 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 README's opening to clarify its "awesome list" nature.

    Why:

    CURRENT
    # Awesome-TensorFlow-Chinese

TensorFlow 中文资源全集，学习路径推荐：
    COPY-PASTE FIX
    # Awesome-TensorFlow-Chinese

一个精选的 TensorFlow 中文资源列表，旨在为中文学习者提供全面的学习路径、安装教程、实战项目和官方文档。
  • mediumreadme#2
    Explicitly state the target audience in the README.

    Why:

    COPY-PASTE FIX
    本仓库特别为中文开发者和学习者设计，旨在汇集所有高质量的 TensorFlow 中文学习材料。
  • lowreadme#3
    Add a note about link maintenance and community contributions.

    Why:

    COPY-PASTE FIX
    我们定期更新和维护此列表，并欢迎社区成员报告任何失效链接或推荐新的优质资源。

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 fendouai/Awesome-TensorFlow-Chinese
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bilibili
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Bilibili · recommended 1×
  2. Zhihu · recommended 1×
  3. CSDN · recommended 1×
  4. Tencent Cloud · recommended 1×
  5. Alibaba Cloud · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive Chinese learning resources for deep learning development?
    you: not recommended
    AI recommended (in order):
    1. Bilibili
    2. Zhihu
    3. CSDN
    4. Tencent Cloud
    5. Alibaba Cloud
    6. GitHub
    7. Xiangshan
    8. OpenBMB
    9. Baidu AI Studio

    AI recommended 9 alternatives but never named fendouai/Awesome-TensorFlow-Chinese. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking practical projects and installation guides for a popular machine learning framework.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. Keras
    3. TensorFlow Text
    4. TensorFlow 2 Object Detection API
    5. NVIDIA CUDA Toolkit
    6. cuDNN
    7. PyTorch
    8. PyTorch Lightning
    9. torchvision.models
    10. scikit-learn
    11. numpy
    12. scipy
    13. Theano
    14. CNTK
    15. Hugging Face Transformers
    16. XGBoost

    AI recommended 16 alternatives but never named fendouai/Awesome-TensorFlow-Chinese. 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 fendouai/Awesome-TensorFlow-Chinese?
    pass
    AI did not name fendouai/Awesome-TensorFlow-Chinese — likely talking about a different project

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

  • If a team adopts fendouai/Awesome-TensorFlow-Chinese in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fendouai/Awesome-TensorFlow-Chinese 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 fendouai/Awesome-TensorFlow-Chinese solve, and who is the primary audience?
    pass
    AI did not name fendouai/Awesome-TensorFlow-Chinese — likely talking about a different project

    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 fendouai/Awesome-TensorFlow-Chinese. 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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fendouai/Awesome-TensorFlow-Chinese — 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