RRepoGEO

REPOGEO REPORT · LITE

zslucky/awesome-AI-books

Default branch master · commit 5852f6a2 · scanned 6/22/2026, 10:53:53 AM

GitHub: 1,731 stars · 394 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
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 zslucky/awesome-AI-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 the README's opening to emphasize its curated nature

    Why:

    CURRENT
    # Awesome AI books

Some awesome AI related books and pdfs for downloading and learning.
    COPY-PASTE FIX
    # Awesome AI books

This is a curated collection of awesome AI-related books and PDFs, available for free download and learning.
  • mediumabout#2
    Refine the repository description to focus on books

    Why:

    CURRENT
    Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
    COPY-PASTE FIX
    A curated collection of awesome AI-related books and PDFs for learning and downloading.
  • lowhomepage#3
    Add the repository's URL as its homepage

    Why:

    COPY-PASTE FIX
    https://github.com/zslucky/awesome-AI-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 zslucky/awesome-AI-books
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
FreeComputerBooks.com
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FreeComputerBooks.com · recommended 1×
  2. GitHub Awesome Lists · recommended 1×
  3. Kaggle · recommended 1×
  4. Google Developers · recommended 1×
  5. Machine Learning Crash Course · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of free AI and machine learning e-books?
    you: not recommended
    AI recommended (in order):
    1. FreeComputerBooks.com
    2. GitHub Awesome Lists
    3. Kaggle
    4. Google Developers
    5. Machine Learning Crash Course
    6. TensorFlow Documentation
    7. Towards Data Science
    8. O'Reilly Open Books Project
    9. arXiv.org

    AI recommended 9 alternatives but never named zslucky/awesome-AI-books. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best online resources for learning deep learning and quantum computing concepts?
    you: not recommended
    AI recommended (in order):
    1. Coursera's Deep Learning Specialization by Andrew Ng (deeplearning.ai)
    2. fast.ai's "Practical Deep Learning for Coders"
    3. Google's Machine Learning Crash Course
    4. TensorFlow
    5. PyTorch
    6. "Deep Learning" book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
    7. IBM Quantum Experience
    8. Qiskit
    9. Microsoft Quantum Development Kit (QDK)
    10. Q#
    11. Coursera's "Introduction to Quantum Computing" by University of Maryland
    12. edX's "Quantum Computing Fundamentals" by MIT
    13. "Quantum Computation and Quantum Information" by Michael A. Nielsen and Isaac L. Chuang
    14. Google Quantum AI
    15. Cirq

    AI recommended 15 alternatives but never named zslucky/awesome-AI-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 zslucky/awesome-AI-books?
    pass
    AI did not name zslucky/awesome-AI-books — 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 zslucky/awesome-AI-books in production, what risks or prerequisites should they evaluate first?
    pass
    AI named zslucky/awesome-AI-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 zslucky/awesome-AI-books solve, and who is the primary audience?
    pass
    AI did not name zslucky/awesome-AI-books — 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?

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