RRepoGEO

REPOGEO REPORT · LITE

SkalskiP/courses

Default branch master · commit 6163e7b6 · scanned 5/14/2026, 9:17:41 PM

GitHub: 6,438 stars · 594 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 SkalskiP/courses, 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's opening to clarify its nature as a curated list of external courses

    Why:

    CURRENT
    This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI).
    COPY-PASTE FIX
    This repository is a curated collection of links to *external* courses and learning resources about Artificial Intelligence (AI). It serves as a comprehensive guide to the best free AI education available online, rather than a personal learning log or a repository of course materials.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that accurately reflects the project's intent.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, a dedicated landing page, or even the GitHub repo URL itself if no other exists) to the 'Homepage' field in the repository settings.

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 SkalskiP/courses
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. edX · recommended 1×
  3. freeCodeCamp · recommended 1×
  4. Google's AI Education Resources (Google AI) · recommended 1×
  5. Kaggle Learn · recommended 1×
  • CATEGORY QUERY
    Where can I find a comprehensive list of free AI and machine learning courses?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. edX
    3. freeCodeCamp
    4. Google's AI Education Resources (Google AI)
    5. Kaggle Learn
    6. fast.ai
    7. YouTube
    8. Stanford University
    9. MIT OpenCourseWare
    10. 3Blue1Brown
    11. Krish Naik

    AI recommended 11 alternatives but never named SkalskiP/courses. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for resources to learn deep learning, computer vision, and NLP from scratch.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. fastai
    3. TensorFlow
    4. Keras
    5. Scikit-Learn
    6. Hugging Face Transformers

    AI recommended 6 alternatives but never named SkalskiP/courses. 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 SkalskiP/courses?
    pass
    AI named SkalskiP/courses explicitly

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

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

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

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SkalskiP/courses — RepoGEO report