RRepoGEO

REPOGEO REPORT · LITE

openai/requests-for-research

Default branch master · commit 1abfbfe6 · scanned 5/15/2026, 2:17:34 AM

GitHub: 1,729 stars · 594 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 openai/requests-for-research, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    deep-learning, machine-learning, research-problems, openai, artificial-intelligence, open-research, problem-statements, archived
  • highreadme#2
    Add a clear license statement to the README

    Why:

    COPY-PASTE FIX
    ## License

The content of this repository (the research problems and descriptions) is provided under the [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/). Contributions are also accepted under these terms.
  • mediumreadme#3
    Rephrase README introduction to highlight value despite archive status

    Why:

    CURRENT
    **Status:** Archive (code is provided as-is, no updates expected)

# Requests for Research

It's easy to get started in deep learning...
    COPY-PASTE FIX
    **Status:** Archive (code is provided as-is, no updates expected)

# Requests for Research: A Historical Collection of Deep Learning Problems from OpenAI

This repository serves as an archived collection of important and challenging deep learning problems originally curated by OpenAI. While no longer actively updated, it remains a valuable resource for new researchers entering the field and practitioners looking to hone their skills on foundational problems that often require inventing new ideas.

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 openai/requests-for-research
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle Competitions
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle Competitions · recommended 1×
  2. NeurIPS · recommended 1×
  3. ICML · recommended 1×
  4. ICLR · recommended 1×
  5. ACL · recommended 1×
  • CATEGORY QUERY
    Where can I find challenging open problems in machine learning to work on?
    you: not recommended
    AI recommended (in order):
    1. Kaggle Competitions
    2. NeurIPS
    3. ICML
    4. ICLR
    5. ACL
    6. CVPR
    7. EMNLP
    8. arXiv.org
    9. OpenAI
    10. DeepMind
    11. Google AI
    12. Hugging Face

    AI recommended 12 alternatives but never named openai/requests-for-research. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platforms offer curated deep learning research problems with potential solutions?
    you: not recommended
    AI recommended (in order):
    1. Kaggle
    2. Papers With Code
    3. DrivenData
    4. Grand Challenges in Biomedical Image Analysis (GCBI)
    5. AIcrowd

    AI recommended 5 alternatives but never named openai/requests-for-research. 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 openai/requests-for-research?
    pass
    AI did not name openai/requests-for-research — 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 openai/requests-for-research in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/requests-for-research 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 openai/requests-for-research solve, and who is the primary audience?
    pass
    AI did not name openai/requests-for-research — 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

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openai/requests-for-research — 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