RRepoGEO

REPOGEO REPORT · LITE

WecoAI/awesome-autoresearch

Default branch master · commit 15f45afc · scanned 6/3/2026, 11:57:47 AM

GitHub: 967 stars · 71 forks

AI VISIBILITY SCORE
28 /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
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 WecoAI/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 to clearly state it's a curated list of use cases and traces, not a tool.

    Why:

    CURRENT
    A curated list of AutoResearch use cases **with optimization traces** and open source implementations. Every entry includes a link to the actual optimization trajectory so you can see what the agent tried, not just the final result.
    COPY-PASTE FIX
    This is a curated list of **AutoResearch use cases and their optimization traces**, showcasing how AI agents autonomously optimize code. Unlike a software library, this repository provides a comprehensive overview of implementations and their detailed execution trajectories, allowing you to see what the agent tried, not just the final result.
  • mediumtopics#2
    Add more specific topics related to 'traces' and 'examples' to improve query matching.

    Why:

    CURRENT
    ai-agents, ai-research, automated-machine-learning, autonomous-agents, autoresearch, awesome, awesome-list, claude-code, code-optimization, curated-list, llm, self-improving-ai
    COPY-PASTE FIX
    ai-agents, ai-research, automated-machine-learning, autonomous-agents, autoresearch, awesome, awesome-list, claude-code, code-optimization, curated-list, llm, self-improving-ai, optimization-traces, ai-code-examples, agent-trajectories
  • lowhomepage#3
    Add a homepage URL to the repository's About section.

    Why:

    COPY-PASTE FIX
    https://github.com/WecoAI/awesome-autoresearch

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 WecoAI/awesome-autoresearch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API (GPT-4, GPT-3.5 Turbo)
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API (GPT-4, GPT-3.5 Turbo) · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. Significant-Gravitas/Auto-GPT · recommended 1×
  5. yoheinakajima/babyagi · recommended 1×
  • CATEGORY QUERY
    What tools enable AI agents to autonomously optimize and refine their own code?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API (GPT-4, GPT-3.5 Turbo)
    2. LangChain (langchain-ai/langchain)
    3. LlamaIndex (run-llama/llama_index)
    4. Auto-GPT (Significant-Gravitas/Auto-GPT)
    5. BabyAGI (yoheinakajima/babyagi)
    6. GitHub Copilot
    7. DeepMind's AlphaCode
    8. AlphaDev

    AI recommended 8 alternatives but never named WecoAI/awesome-autoresearch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find examples of AI-driven code optimization with detailed execution traces?
    you: not recommended
    AI recommended (in order):
    1. OpenAI Gym
    2. TensorFlow
    3. Keras Callbacks
    4. PyTorch
    5. torch.utils.tensorboard
    6. LLVM Compiler Infrastructure
    7. Google's MLGO (Machine Learning Guided Optimizations)
    8. Optuna
    9. Ray Tune
    10. Spearmint
    11. Hyperopt
    12. DREAM (Deep Reinforcement Learning for Automatic Program Repair)

    AI recommended 12 alternatives but never named WecoAI/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
    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 WecoAI/awesome-autoresearch?
    pass
    AI did not name WecoAI/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 WecoAI/awesome-autoresearch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named WecoAI/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 WecoAI/awesome-autoresearch solve, and who is the primary audience?
    pass
    AI named WecoAI/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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