RRepoGEO

REPOGEO REPORT · LITE

SamBelkacem/AI-ML-cheatsheets

Default branch main · commit b946155a · scanned 6/12/2026, 11:42:55 AM

GitHub: 660 stars · 219 forks

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 SamBelkacem/AI-ML-cheatsheets, 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 "curated repository"

    Why:

    CURRENT
    # AI-ML-cheatsheets
    
    This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML).
    COPY-PASTE FIX
    # AI-ML-cheatsheets: A Curated Repository of Essential AI and Machine Learning Quick Reference Guides
    
    This GitHub repository provides a comprehensive, organized collection of the most popular and essential cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine Learning (ML), designed for rapid recall and learning.
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected)
    COPY-PASTE FIX
    Create a LICENSE file in the root of the repository with the text for a Creative Commons Attribution 4.0 International License (CC-BY-4.0), as the content is primarily reference material.
  • mediumhomepage#3
    Set repository homepage URL to the Google Drive link

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    Update the repository's 'About' section to include the Google Drive link mentioned in the README (e.g., 'https://drive.google.com/drive/folders/...') as the homepage URL.

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 SamBelkacem/AI-ML-cheatsheets
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Scikit-learn Documentation
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Scikit-learn Documentation · recommended 1×
  2. Google's Machine Learning Crash Course Glossary · recommended 1×
  3. Towards Data Science · recommended 1×
  4. Cheatography · recommended 1×
  5. Stanford CS229 Lecture Notes · recommended 1×
  • CATEGORY QUERY
    Where can I find quick reference guides for machine learning algorithms and AI concepts?
    you: not recommended
    AI recommended (in order):
    1. Scikit-learn Documentation
    2. Google's Machine Learning Crash Course Glossary
    3. Towards Data Science
    4. Cheatography
    5. Stanford CS229 Lecture Notes
    6. DeepLearning.AI
    7. Wikipedia

    AI recommended 7 alternatives but never named SamBelkacem/AI-ML-cheatsheets. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for consolidated reference materials and cheat sheets on fundamental AI and ML topics.
    you: not recommended
    AI recommended (in order):
    1. Towards Data Science (TDS) Cheat Sheets
    2. Stanford CS229 Machine Learning Cheatsheets
    3. Machine Learning Mastery Cheat Sheets
    4. DataCamp Cheat Sheets
    5. Scikit-learn Algorithm Cheat Sheet
    6. DeepLearning.AI Cheatsheets (Andrew Ng's Courses)
    7. Google's Machine Learning Crash Course Glossary/Cheat Sheet

    AI recommended 7 alternatives but never named SamBelkacem/AI-ML-cheatsheets. 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 SamBelkacem/AI-ML-cheatsheets?
    pass
    AI did not name SamBelkacem/AI-ML-cheatsheets — 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 SamBelkacem/AI-ML-cheatsheets in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SamBelkacem/AI-ML-cheatsheets 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 SamBelkacem/AI-ML-cheatsheets solve, and who is the primary audience?
    pass
    AI did not name SamBelkacem/AI-ML-cheatsheets — 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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SamBelkacem/AI-ML-cheatsheets — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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