RRepoGEO

REPOGEO REPORT · LITE

youssefHosni/Awesome-AI-Data-GitHub-Repos

Default branch main · commit f5a25240 · scanned 6/14/2026, 2:33:08 PM

GitHub: 1,000 stars · 224 forks

AI VISIBILITY SCORE
22 /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
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 youssefHosni/Awesome-AI-Data-GitHub-Repos, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    awesome-list, machine-learning, artificial-intelligence, data-science, nlp, llm, computer-vision, mlops, data-engineering, sql, statistics, github-repos, curated-list
  • mediumabout#2
    Explicitly state 'awesome list' in the GitHub description

    Why:

    CURRENT
    A collection of the most important Github repos for ML, AI & Data science practitioners
    COPY-PASTE FIX
    An awesome list curating the most important GitHub repositories for ML, AI, and Data Science practitioners.
  • lowreadme#3
    Explicitly state 'This is an awesome list' in the README's opening sentence

    Why:

    CURRENT
    A curated list of the most essential GitHub repos that cover the AI & ML landscape.
    COPY-PASTE FIX
    This is an awesome list, curating the most essential GitHub repositories that cover the AI & ML landscape.

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 youssefHosni/Awesome-AI-Data-GitHub-Repos
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Papers With Code
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 2×
  2. Awesome Machine Learning · recommended 1×
  3. Awesome Deep Learning · recommended 1×
  4. Awesome AI · recommended 1×
  5. google-research · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of essential GitHub repos for ML and AI?
    you: not recommended
    AI recommended (in order):
    1. Awesome Machine Learning
    2. Awesome Deep Learning
    3. Awesome AI
    4. google-research
    5. tensorflow
    6. google
    7. Papers With Code

    AI recommended 7 alternatives but never named youssefHosni/Awesome-AI-Data-GitHub-Repos. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to discover highly-rated open-source projects across different AI and ML domains?
    you: not recommended
    AI recommended (in order):
    1. GitHub Trending
    2. GitHub Explore
    3. Hugging Face Hub
    4. Papers With Code
    5. Awesome Machine Learning (josephmisiti/awesome-machine-learning)
    6. Awesome Deep Learning (ChristosChristofidis/awesome-deep-learning)
    7. Kaggle
    8. Reddit
    9. Medium
    10. Towards Data Science

    AI recommended 10 alternatives but never named youssefHosni/Awesome-AI-Data-GitHub-Repos. 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 youssefHosni/Awesome-AI-Data-GitHub-Repos?
    pass
    AI did not name youssefHosni/Awesome-AI-Data-GitHub-Repos — 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 youssefHosni/Awesome-AI-Data-GitHub-Repos in production, what risks or prerequisites should they evaluate first?
    pass
    AI named youssefHosni/Awesome-AI-Data-GitHub-Repos 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 youssefHosni/Awesome-AI-Data-GitHub-Repos solve, and who is the primary audience?
    pass
    AI did not name youssefHosni/Awesome-AI-Data-GitHub-Repos — 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?

Embed your GEO score

Drop this badge into the README of youssefHosni/Awesome-AI-Data-GitHub-Repos. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/youssefHosni/Awesome-AI-Data-GitHub-Repos.svg)](https://repogeo.com/en/r/youssefHosni/Awesome-AI-Data-GitHub-Repos)
HTML
<a href="https://repogeo.com/en/r/youssefHosni/Awesome-AI-Data-GitHub-Repos"><img src="https://repogeo.com/badge/youssefHosni/Awesome-AI-Data-GitHub-Repos.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

youssefHosni/Awesome-AI-Data-GitHub-Repos — 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