RRepoGEO

REPOGEO REPORT · LITE

wanshuiyin/Auto-claude-code-research-in-sleep

Default branch main · commit 885a237b · scanned 6/17/2026, 2:57:05 PM

GitHub: 12,253 stars · 1,124 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 wanshuiyin/Auto-claude-code-research-in-sleep, 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 README opening to clarify unique value and category

    Why:

    CURRENT
    💡 *Use ARIS as a skill-based workflow in Claude Code / [Codex CLI]...*

🌱 *ARIS is a methodology, not a platform.*
    COPY-PASTE FIX
    ARIS ⚔️ (Auto-Research-In-Sleep) is a lightweight, Markdown-only system for autonomous ML research, designed to automate cross-model review loops, idea discovery, and experiment automation. It provides a framework-agnostic methodology for LLM agents like Claude Code, Codex, or OpenClaw to conduct unattended research workflows, from scientific paper review to experiment design.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://wanshuiyin.github.io/Auto-claude-code-research-in-sleep/ARIS_INTRO.html
  • mediumtopics#3
    Refine topics to emphasize research workflow and experiment design

    Why:

    CURRENT
    ai-research, ai-tools, aris, autonomous-agent, claude, claude-code, claude-code-skills, codex, deep-learning, gpt, idea-generation, llm, machine-learning, mcp, mcp-server, ml-research, openai, paper-review, paper-writing, research-automation
    COPY-PASTE FIX
    ai-research, ai-tools, aris, autonomous-agent, claude, claude-code, claude-code-skills, codex, deep-learning, gpt, idea-generation, llm, machine-learning, mcp, mcp-server, ml-research, openai, paper-review, paper-writing, research-automation, research-workflow, experiment-design, scientific-automation

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 wanshuiyin/Auto-claude-code-research-in-sleep
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. OpenAI GPT-4 · recommended 1×
  3. Claude 3 Opus · recommended 1×
  4. Google Gemini Advanced · recommended 1×
  5. Significant-Gravitas/AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to automate machine learning research workflows using AI agents for idea generation?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI GPT-4
    3. Claude 3 Opus
    4. Google Gemini Advanced
    5. AutoGPT (Significant-Gravitas/AutoGPT)
    6. BabyAGI (yoheinakajima/babyagi)
    7. SuperAGI (SuperAGI/SuperAGI)
    8. CrewAI (joaomdmoura/crewAI)
    9. Hugging Face `transformers` library (huggingface/transformers)
    10. Weights & Biases (W&B)
    11. W&B Prompts
    12. AutoGen (microsoft/autogen)
    13. DeepMind AlphaCode 2
    14. GitHub Copilot Enterprise
    15. Google Codey

    AI recommended 15 alternatives but never named wanshuiyin/Auto-claude-code-research-in-sleep. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool for automating scientific paper review and experiment design with large language models.
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. Scite.ai
    3. Semantic Scholar
    4. Connected Papers
    5. ChatGPT
    6. BioGPT
    7. Galactica

    AI recommended 7 alternatives but never named wanshuiyin/Auto-claude-code-research-in-sleep. 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 wanshuiyin/Auto-claude-code-research-in-sleep?
    pass
    AI did not name wanshuiyin/Auto-claude-code-research-in-sleep — 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 wanshuiyin/Auto-claude-code-research-in-sleep in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wanshuiyin/Auto-claude-code-research-in-sleep 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 wanshuiyin/Auto-claude-code-research-in-sleep solve, and who is the primary audience?
    pass
    AI did not name wanshuiyin/Auto-claude-code-research-in-sleep — 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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  • Brand-free category queries5 vs 2 in Lite
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