RRepoGEO

REPOGEO REPORT · LITE

SanDiegoMachineLearning/bookclub

Default branch master · commit abb371bf · scanned 6/5/2026, 1:12:56 AM

GitHub: 762 stars · 145 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 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 SanDiegoMachineLearning/bookclub, 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

2 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 the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT License) in the repository root to clarify usage rights for the notes and materials.
  • highreadme#2
    Reposition the README's opening sentence to clarify its purpose

    Why:

    CURRENT
    Notes and links from the SDML book club meetings.
    COPY-PASTE FIX
    This repository serves as the official archive for the San Diego Machine Learning (SDML) book club, providing comprehensive study notes, slides, video links, and supplementary materials from our community-led sessions on key machine learning texts and topics.

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 SanDiegoMachineLearning/bookclub
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. fast.ai · recommended 1×
  3. Towards Data Science · recommended 1×
  4. Medium · recommended 1×
  5. GitHub · recommended 1×
  • CATEGORY QUERY
    Where can I find study notes and resources for various machine learning topics?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. fast.ai
    3. Towards Data Science
    4. Medium
    5. GitHub
    6. Kaggle Learn
    7. Google's Machine Learning Crash Course
    8. OpenAI's Spinning Up in Deep RL

    AI recommended 8 alternatives but never named SanDiegoMachineLearning/bookclub. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking organized learning materials to understand advanced computer vision techniques.
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's Deep Learning Specialization
    2. Stanford University's CS231n
    3. fast.ai's Practical Deep Learning for Coders
    4. PyTorch (pytorch/pytorch)
    5. Computer Vision: Algorithms and Applications
    6. Deep Learning Book

    AI recommended 6 alternatives but never named SanDiegoMachineLearning/bookclub. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 SanDiegoMachineLearning/bookclub?
    pass
    AI did not name SanDiegoMachineLearning/bookclub — 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 SanDiegoMachineLearning/bookclub in production, what risks or prerequisites should they evaluate first?
    pass
    AI named SanDiegoMachineLearning/bookclub 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 SanDiegoMachineLearning/bookclub solve, and who is the primary audience?
    pass
    AI did not name SanDiegoMachineLearning/bookclub — 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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SanDiegoMachineLearning/bookclub — 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