RRepoGEO

REPOGEO REPORT · LITE

loganthorneloe/ai-for-swes

Default branch main · commit d2b598cd · scanned 5/23/2026, 1:52:48 PM

GitHub: 1,302 stars · 157 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)

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

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 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 loganthorneloe/ai-for-swes, 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
    Clarify the README's opening to state this repository *is* the roadmap

    Why:

    CURRENT
    This is your streamlined roadmap to learning AI and machine learning from scratch, for free.
    COPY-PASTE FIX
    This GitHub repository provides your streamlined roadmap to learning AI and machine learning from scratch, for free.
  • mediumreadme#2
    Align the README's main heading with the repository's core identity

    Why:

    CURRENT
    # Machine Learning Road Map
    COPY-PASTE FIX
    # AI for Software Engineers: Machine Learning Road Map
  • lowtopics#3
    Add more specific topics to better categorize the resource format

    Why:

    CURRENT
    artificial-intelligence, guides, machine-learning, roadmap, software
    COPY-PASTE FIX
    artificial-intelligence, guides, machine-learning, roadmap, software, curated-resources, learning-path, free-education

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 loganthorneloe/ai-for-swes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Khan Academy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Khan Academy · recommended 1×
  2. Google's Python Class · recommended 1×
  3. freeCodeCamp's Scientific Computing with Python course · recommended 1×
  4. Andrew Ng's Machine Learning Course (Coursera) · recommended 1×
  5. Google's Machine Learning Crash Course · recommended 1×
  • CATEGORY QUERY
    What is a comprehensive free roadmap for software engineers learning machine learning?
    you: not recommended
    AI recommended (in order):
    1. Khan Academy
    2. Google's Python Class
    3. freeCodeCamp's Scientific Computing with Python course
    4. Andrew Ng's Machine Learning Course (Coursera)
    5. Google's Machine Learning Crash Course
    6. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron (O'Reilly)
    7. Scikit-Learn (scikit-learn/scikit-learn)
    8. Keras (keras-team/keras)
    9. TensorFlow (tensorflow/tensorflow)
    10. fast.ai's Practical Deep Learning for Coders
    11. PyTorch (pytorch/pytorch)
    12. Deep Learning Specialization by Andrew Ng (Coursera)
    13. Kaggle
    14. Hugging Face's Transformers library (huggingface/transformers)
    15. Stanford's CS224N (Deep Learning for Natural Language Processing)
    16. PyImageSearch blog
    17. Stanford's CS231n (Convolutional Neural Networks for Visual Recognition)
    18. David Silver's Reinforcement Learning course (UCL)

    AI recommended 18 alternatives but never named loganthorneloe/ai-for-swes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find free resources and a structured guide to learn AI from scratch?
    you: not recommended
    AI recommended (in order):
    1. fast.ai
    2. Google
    3. TensorFlow
    4. Coursera
    5. Octave/MATLAB
    6. Hugging Face
    7. Hugging Face Transformers
    8. Kaggle Learn
    9. Python
    10. Pandas
    11. MIT OpenCourseWare
    12. freeCodeCamp.org
    13. YouTube

    AI recommended 13 alternatives but never named loganthorneloe/ai-for-swes. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 loganthorneloe/ai-for-swes?
    pass
    AI named loganthorneloe/ai-for-swes explicitly

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

  • If a team adopts loganthorneloe/ai-for-swes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named loganthorneloe/ai-for-swes 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 loganthorneloe/ai-for-swes solve, and who is the primary audience?
    pass
    AI did not name loganthorneloe/ai-for-swes — 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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loganthorneloe/ai-for-swes — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite