RRepoGEO

REPOGEO REPORT · LITE

foochane/books

Default branch master · commit 81b9a5bb · scanned 5/9/2026, 5:17:47 PM

GitHub: 1,134 stars · 315 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 foochane/books, 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 H1 to emphasize 'free e-book collection'

    Why:

    CURRENT
    ## 整理一些书籍
    COPY-PASTE FIX
    ## 📚 免费编程与数据科学电子书合集
  • mediumreadme#2
    Add a concise introductory paragraph to the README

    Why:

    CURRENT
    ## 整理一些书籍

### 书籍目录如下：
    COPY-PASTE FIX
    ## 📚 免费编程与数据科学电子书合集

这是一个精心整理的免费编程与数据科学电子书合集，涵盖了从基础到高级的C&C++、Java、Python、机器学习、深度学习、大数据等多个热门技术领域。旨在为自学者和开发者提供高质量的学习资源，方便快速查找和学习。

### 书籍目录如下：
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/foochane/books

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 foochane/books
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Coursera
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 2×
  2. edX · recommended 2×
  3. Kaggle Learn · recommended 2×
  4. freeCodeCamp.org · recommended 1×
  5. DataCamp · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated collection of programming and data science learning resources?
    you: not recommended
    AI recommended (in order):
    1. freeCodeCamp.org
    2. Coursera
    3. edX
    4. Kaggle Learn
    5. DataCamp
    6. Pluralsight
    7. Awesome Lists on GitHub

    AI recommended 7 alternatives but never named foochane/books. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking comprehensive learning materials for machine learning, deep learning, and big data applications.
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. Deep Learning Specialization
    3. Machine Learning
    4. Applied Data Science with Python Specialization
    5. IBM Data Science Professional Certificate
    6. Apache Spark
    7. edX
    8. Professional Certificate in Data Science
    9. R
    10. MicroMasters Program in Statistics and Data Science
    11. fast.ai
    12. Practical Deep Learning for Coders
    13. PyTorch
    14. Practical Data Ethics
    15. Udemy
    16. Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus
    17. Python
    18. ChatGPT
    19. Deep Learning A-Z™: Hands-On Artificial Neural Networks
    20. O'Reilly Media
    21. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    22. Scikit-Learn
    23. Keras
    24. TensorFlow
    25. Deep Learning with Python
    26. Spark: The Definitive Guide
    27. Kaggle Learn
    28. Intro to Machine Learning
    29. Deep Learning
    30. Pandas
    31. SQL
    32. Google's Machine Learning Crash Course

    AI recommended 32 alternatives but never named foochane/books. 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 foochane/books?
    pass
    AI named foochane/books explicitly

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

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

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

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