RRepoGEO

REPOGEO REPORT · LITE

AniruddhaChattopadhyay/Books

Default branch main · commit a6a9ffb2 · scanned 5/25/2026, 2:08:14 AM

GitHub: 1,343 stars · 218 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 AniruddhaChattopadhyay/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
  • highlicense#1
    Add a standard open-source LICENSE file

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT License.
  • highabout#2
    Add a concise repository description

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    A curated, freely shareable collection of AI and Machine Learning books (PDFs) for rapid review, interview prep, and foundational understanding.
  • hightopics#3
    Add specific topics to improve categorization

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai, machine-learning, deep-learning, llm, reinforcement-learning, books, pdfs, education, interview-prep, algorithms, mathematics

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 AniruddhaChattopadhyay/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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Coursera · recommended 1×
  2. fast.ai · recommended 1×
  3. Google's Machine Learning Crash Course · recommended 1×
  4. towardsdatascience.com · recommended 1×
  5. Medium · recommended 1×
  • CATEGORY QUERY
    Where can I find free resources to quickly review machine learning algorithms and deep learning concepts?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. fast.ai
    3. Google's Machine Learning Crash Course
    4. towardsdatascience.com
    5. Medium
    6. 3Blue1Brown
    7. Kaggle Learn
    8. Stanford CS229
    9. Stanford CS231n

    AI recommended 9 alternatives but never named AniruddhaChattopadhyay/Books. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good foundational materials for understanding large language models and AI interview topics?
    you: not recommended
    AI recommended (in order):
    1. Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
    2. Neural Networks and Deep Learning" by Michael Nielsen
    3. Attention Is All You Need" (Transformer Paper)
    4. Stanford CS224N: Natural Language Processing with Deep Learning
    5. The Illustrated Transformer" by Jay Alammar
    6. Speech and Language Processing" by Daniel Jurafsky and James H. Martin
    7. Dive into Deep Learning" by Aston Zhang, Zachary C. Lipton, Mu Li, and Alex Smola

    AI recommended 7 alternatives but never named AniruddhaChattopadhyay/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
    fail

    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 AniruddhaChattopadhyay/Books?
    pass
    AI named AniruddhaChattopadhyay/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 AniruddhaChattopadhyay/Books in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AniruddhaChattopadhyay/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 AniruddhaChattopadhyay/Books solve, and who is the primary audience?
    pass
    AI named AniruddhaChattopadhyay/Books 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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AniruddhaChattopadhyay/Books — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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