RRepoGEO

REPOGEO REPORT · LITE

alvinreal/awesome-autoresearch

Default branch main · commit 2f3eed30 · scanned 5/13/2026, 2:18:10 PM

GitHub: 1,836 stars · 146 forks

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 alvinreal/awesome-autoresearch, 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 statement to clarify its role as a discovery index

    Why:

    CURRENT
    A curated, high-signal index of autonomous improvement loops, research agents, and descendants inspired by karpathy/autoresearch.
    COPY-PASTE FIX
    This is **the definitive curated index** for discovering autonomous improvement loops, research agents, and autoresearch-style systems inspired by karpathy/autoresearch. It serves as a high-signal resource for exploring the landscape of autoresearch, distinct from direct implementation tools.
  • mediumlicense#2
    Clarify the existing license in the README's License section

    Why:

    COPY-PASTE FIX
    Add to the '📄 License' section: 'This project is distributed under the terms specified in the [LICENSE](./LICENSE) file. Please refer to that file for the specific terms and conditions that apply.'
  • lowreadme#3
    Add a 'Who is this for?' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section: '## Who is this for? This list is for researchers, developers, and enthusiasts looking to explore the landscape of autonomous research agents and self-improving AI systems. It serves as a starting point for discovery and understanding the state-of-the-art, rather than providing direct implementation code.'

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 alvinreal/awesome-autoresearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI Gym
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI Gym · recommended 1×
  2. Stable Baselines3 · recommended 1×
  3. Ray Tune · recommended 1×
  4. Ax · recommended 1×
  5. DeepChem · recommended 1×
  • CATEGORY QUERY
    How can I build self-improving AI systems for iterative experimentation and scientific discovery?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. Stable Baselines3
    3. Ray Tune
    4. Ax
    5. DeepChem
    6. Open Reaction Database (ORD)
    7. ChemOS
    8. ROS - Robot Operating System
    9. MLflow

    AI recommended 9 alternatives but never named alvinreal/awesome-autoresearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help automate research tasks using AI agents and autonomous experiment loops?
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. BabyAGI
    3. LangChain
    4. LlamaIndex
    5. OpenAI API
    6. MetaGPT
    7. AgentVerse

    AI recommended 7 alternatives but never named alvinreal/awesome-autoresearch. 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 alvinreal/awesome-autoresearch?
    pass
    AI did not name alvinreal/awesome-autoresearch — 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 alvinreal/awesome-autoresearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named alvinreal/awesome-autoresearch 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 alvinreal/awesome-autoresearch solve, and who is the primary audience?
    pass
    AI named alvinreal/awesome-autoresearch explicitly

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

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alvinreal/awesome-autoresearch — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
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