RRepoGEO

REPOGEO REPORT · LITE

aimerou/awesome-ai-papers

Default branch main · commit cbeab85a · scanned 5/15/2026, 8:57:37 PM

GitHub: 1,297 stars · 119 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 aimerou/awesome-ai-papers, 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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    (Create a LICENSE file, e.g., MIT or Apache-2.0, and place it in the repository root.)
  • highreadme#2
    Reposition the core description to be the first line after the H1

    Why:

    CURRENT
    # Awesome AI Papers ⭐️

## Description
This repository is an up-to-date list of significant AI papers organized by publication date. It covers five fields : computer vision, natural language processing, audio processing, multimodal learning and reinforcement learning. Feel free to give this repository a star if you enjoy the work.
    COPY-PASTE FIX
    # Awesome AI Papers ⭐️
A curated, up-to-date list of significant AI papers, organized by publication date and covering computer vision, natural language processing, audio processing, multimodal learning, and reinforcement learning. Feel free to give this repository a star if you enjoy the work.

## Table of Contents
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    (Add a relevant URL, e.g., a personal website, project page, or a link to a related resource, in the repository settings.)

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 aimerou/awesome-ai-papers
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. AI Alignment Forum · recommended 1×
  3. Distill.pub · recommended 1×
  4. Google AI Blog · recommended 1×
  5. Meta AI Blog · recommended 1×
  • CATEGORY QUERY
    Where can I find a curated list of the most impactful AI research papers?
    you: not recommended
    AI recommended (in order):
    1. Papers With Code
    2. AI Alignment Forum
    3. Distill.pub
    4. Google AI Blog
    5. Meta AI Blog
    6. Microsoft Research Blog
    7. arXiv Sanity Preserver
    8. The Batch
    9. NeurIPS
    10. ICML
    11. ICLR
    12. CVPR
    13. ACL
    14. EMNLP

    AI recommended 14 alternatives but never named aimerou/awesome-ai-papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the essential computer vision and natural language processing papers to read?
    you: not recommended
    AI recommended (in order):
    1. AlexNet
    2. VGGNet
    3. Inception/GoogLeNet
    4. ResNet
    5. YOLO
    6. Faster R-CNN
    7. FCN
    8. U-Net
    9. ViT
    10. Word2Vec
    11. GloVe
    12. LSTM
    13. Seq2Seq with Attention
    14. Transformer
    15. BERT
    16. GPT-1
    17. GPT-3
    18. ULMFiT

    AI recommended 18 alternatives but never named aimerou/awesome-ai-papers. 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 aimerou/awesome-ai-papers?
    pass
    AI did not name aimerou/awesome-ai-papers — 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 aimerou/awesome-ai-papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aimerou/awesome-ai-papers 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 aimerou/awesome-ai-papers solve, and who is the primary audience?
    pass
    AI did not name aimerou/awesome-ai-papers — 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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