RRepoGEO

REPOGEO REPORT · LITE

SkalskiP/courses

Default branch master · commit 6163e7b6 · scanned 6/25/2026, 11:02:52 AM

GitHub: 6,465 stars · 597 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)

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

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
  • highlicense#1
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of an appropriate open-source license, such as the MIT License, to clearly define usage rights for the collected resources.
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    Set the 'Homepage' URL in the repository's 'About' section to `https://github.com/SkalskiP/courses` to provide a direct link to the project's primary location.
  • mediumreadme#3
    Strengthen README's opening value proposition

    Why:

    CURRENT
    This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI). Whether you're a beginner or an experienced learner, there's something here for everyone!
    COPY-PASTE FIX
    This repository offers a **curated, comprehensive, and entirely open-source collection of links to top-tier courses and resources** about Artificial Intelligence (AI). Directly accessible on GitHub, it's designed for learners of all levels seeking structured educational content without proprietary platforms.

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
freeCodeCamp.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. freeCodeCamp.org · recommended 1×
  2. Google AI Education · recommended 1×
  3. edX · recommended 1×
  4. Coursera · recommended 1×
  5. Kaggle Learn · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of free courses to learn various AI concepts?
    you: not recommended
    AI recommended (in order):
    1. freeCodeCamp.org
    2. Google AI Education
    3. edX
    4. Coursera
    5. Kaggle Learn
    6. Towards Data Science
    7. OpenCulture Online Courses

    AI recommended 7 alternatives but never named SkalskiP/courses. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best free online resources for learning deep learning and generative AI?
    you: not recommended
    AI recommended (in order):
    1. fast.ai Practical Deep Learning for Coders
    2. DeepLearning.AI
    3. Hugging Face Course
    4. Google's Machine Learning Crash Course
    5. MIT 6.S191 Introduction to Deep Learning
    6. TensorFlow Tutorials (tensorflow/tensorflow)
    7. PyTorch Tutorials (pytorch/pytorch)

    AI recommended 7 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 — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite