RRepoGEO

REPOGEO REPORT · LITE

amrzv/awesome-colab-notebooks

Default branch main · commit b488b970 · scanned 5/12/2026, 8:57:18 AM

GitHub: 1,636 stars · 278 forks

AI VISIBILITY SCORE
12 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
0 pass · 1 warn · 1 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 amrzv/awesome-colab-notebooks, 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
    Create a README.md file to introduce the collection

    Why:

    CURRENT
    (no README file present)
    COPY-PASTE FIX
    # Awesome Colab Notebooks

This repository is a curated collection of Google Colaboratory notebooks, designed to provide fast and easy experiments for machine learning, deep learning, and generative AI practitioners. It serves as a central hub for discovering practical examples, tutorials, and ready-to-run code snippets optimized for the Colab environment, making it ideal for quick prototyping, learning, and research.
  • mediumabout#2
    Refine the 'About' description for clarity and keyword density

    Why:

    CURRENT
    Collection of google colaboratory notebooks for fast and easy experiments
    COPY-PASTE FIX
    A curated collection of Google Colaboratory notebooks for fast, easy machine learning and deep learning experiments, tutorials, and practical examples.
  • mediumhomepage#3
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://github.com/amrzv/awesome-colab-notebooks

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 amrzv/awesome-colab-notebooks
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Colaboratory (Colab)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Colaboratory (Colab) · recommended 1×
  2. Kaggle Kernels (now Kaggle Notebooks) · recommended 1×
  3. AWS SageMaker Studio Lab · recommended 1×
  4. Azure Machine Learning Notebooks · recommended 1×
  5. Papers With Code · recommended 1×
  • CATEGORY QUERY
    Where can I find pre-built machine learning notebooks for quick cloud-based experimentation?
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory (Colab)
    2. Kaggle Kernels (now Kaggle Notebooks)
    3. AWS SageMaker Studio Lab
    4. Azure Machine Learning Notebooks
    5. Papers With Code
    6. Hugging Face Spaces
    7. Deepnote

    AI recommended 7 alternatives but never named amrzv/awesome-colab-notebooks. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical deep learning examples and tutorials using online Jupyter environments.
    you: not recommended
    AI recommended (in order):
    1. Google Colaboratory
    2. Kaggle Notebooks
    3. DeepLearning.AI Platform
    4. Paperspace Gradient
    5. Google Cloud AI Platform Notebooks
    6. Amazon SageMaker Studio Lab

    AI recommended 6 alternatives but never named amrzv/awesome-colab-notebooks. 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
    fail

    Suggestion:

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 amrzv/awesome-colab-notebooks?
    pass
    AI did not name amrzv/awesome-colab-notebooks — 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 amrzv/awesome-colab-notebooks in production, what risks or prerequisites should they evaluate first?
    pass
    AI named amrzv/awesome-colab-notebooks 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 amrzv/awesome-colab-notebooks solve, and who is the primary audience?
    pass
    AI did not name amrzv/awesome-colab-notebooks — 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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  • Brand-free category queries5 vs 2 in Lite
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