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REPOGEO REPORT · LITE

louisfb01/best_AI_papers_2022

Default branch main · commit 00d4d07f · scanned 6/24/2026, 7:13:01 PM

GitHub: 3,186 stars · 198 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
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 louisfb01/best_AI_papers_2022, 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 the README's opening paragraph to immediately state the repo's core value

    Why:

    CURRENT
    While the world is still recovering, research hasn't slowed its frenetic pace, especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, governance, transparency and much more. Artificial intelligence and our understanding of the human brain and its link to AI are constantly evolving, showing promising applications improving our life's quality in the near future. Still, we ought to be careful with which technology we choose to apply.
    COPY-PASTE FIX
    This repository provides a curated list of the latest breakthroughs in AI from 2022, organized by release date. Each entry includes a clear video explanation, a link to a more in-depth article, and associated code (if available). This resource is designed for AI researchers, students, and practitioners seeking to stay updated on the most impactful papers of the year.
  • mediumreadme#2
    Add a 'Why this list?' section to highlight unique differentiators

    Why:

    COPY-PASTE FIX
    ## Why this list?
Unlike broader platforms, this repository offers a highly curated selection of what I consider the 'best' and most impactful AI papers specifically from 2022. Each entry is accompanied by concise, human-written summaries and key takeaways, along with video explanations and code, making complex research accessible and easy to digest.
  • lowtopics#3
    Add more specific topics related to 'curated lists' and 'explanations'

    Why:

    CURRENT
    2022, ai, artificial-intelligence, computer-science, computer-vision, deep-learning, innovation, machine-learning, machinelearning, neural-network, paper, papers, python, sota, state-of-art, state-of-the-art, technology
    COPY-PASTE FIX
    2022, ai, artificial-intelligence, computer-science, computer-vision, deep-learning, innovation, machine-learning, machinelearning, neural-network, paper, papers, python, sota, state-of-art, state-of-the-art, technology, research-papers, paper-explanations, curated-list, ai-breakthroughs, machine-learning-research

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 louisfb01/best_AI_papers_2022
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. Two Minute Papers · recommended 2×
  3. Distill.pub · recommended 1×
  4. AI Explained · recommended 1×
  5. The Batch · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of the latest AI research papers with explanations?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Distill.pub
    3. AI Explained
    4. Two Minute Papers
    5. The Batch
    6. arXiv Sanity Preserver (karpathy/arxiv-sanity-preserver)
    7. Hugging Face Blog/Research

    AI recommended 7 alternatives but never named louisfb01/best_AI_papers_2022. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to find state-of-the-art machine learning research with code and video explanations?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. YouTube
    3. Two Minute Papers
    4. Yannic Kilcher
    5. Lex Fridman Podcast
    6. The AI Epiphany
    7. arXiv
    8. GitHub Trending
    9. Python
    10. PyTorch
    11. TensorFlow
    12. r/MachineLearning
    13. r/deeplearning
    14. Hugging Face

    AI recommended 14 alternatives but never named louisfb01/best_AI_papers_2022. 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 louisfb01/best_AI_papers_2022?
    pass
    AI named louisfb01/best_AI_papers_2022 explicitly

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

  • If a team adopts louisfb01/best_AI_papers_2022 in production, what risks or prerequisites should they evaluate first?
    pass
    AI named louisfb01/best_AI_papers_2022 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 louisfb01/best_AI_papers_2022 solve, and who is the primary audience?
    pass
    AI did not name louisfb01/best_AI_papers_2022 — 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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louisfb01/best_AI_papers_2022 — 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