RRepoGEO

REPOGEO REPORT · LITE

louisfb01/best_AI_papers_2022

Default branch main · commit 00d4d07f · scanned 5/14/2026, 6:59:12 AM

GitHub: 3,185 stars · 200 forks

AI VISIBILITY SCORE
27 /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
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 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 main heading to emphasize its unique value as an explained, code-linked resource

    Why:

    CURRENT
    ## A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.
    COPY-PASTE FIX
    ## Your go-to curated resource for the most impactful AI breakthroughs of 2022, complete with clear video explanations, in-depth articles, and direct links to code.
  • mediumtopics#2
    Add specific topics to highlight the unique features of the paper list

    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, video-explanations, code-examples, paper-summaries, ai-breakthroughs
  • lowreadme#3
    Add a sentence to the README's introductory text explicitly stating the list's unique value proposition

    Why:

    CURRENT
    Here's curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!
    COPY-PASTE FIX
    Here's a curated list of the latest breakthroughs in AI and Data Science by release date, offering more than just links: each paper comes with a clear video explanation, a link to a more in-depth article, and available code. Enjoy the read!

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Papers With Code · recommended 1×
  2. Hugging Face · recommended 1×
  3. huggingface/transformers · recommended 1×
  4. Towards Data Science · recommended 1×
  5. Kaggle · recommended 1×
  • CATEGORY QUERY
    How can I quickly understand recent machine learning breakthroughs with clear explanations and code examples?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. Hugging Face
    3. transformers (huggingface/transformers)
    4. Towards Data Science
    5. Kaggle
    6. Yannic Kilcher
    7. Two Minute Papers
    8. PyTorch Lightning (Lightning-AI/pytorch-lightning)
    9. Fast.ai (fastai/fastai)

    AI recommended 9 alternatives but never named louisfb01/best_AI_papers_2022. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the most impactful AI research papers from 2022, with video summaries and articles?
    you: not recommended
    AI recommended (in order):
    1. PaLM
    2. PaLM 2
    3. Gemini
    4. Imagen
    5. DALL-E 2
    6. Make-A-Video
    7. DreamerV3
    8. Gato
    9. OPT
    10. Phenaki

    AI recommended 10 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 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?

  • 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?

Embed your GEO score

Drop this badge into the README of louisfb01/best_AI_papers_2022. 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/louisfb01/best_AI_papers_2022.svg)](https://repogeo.com/en/r/louisfb01/best_AI_papers_2022)
HTML
<a href="https://repogeo.com/en/r/louisfb01/best_AI_papers_2022"><img src="https://repogeo.com/badge/louisfb01/best_AI_papers_2022.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

louisfb01/best_AI_papers_2022 — 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