RRepoGEO

REPOGEO REPORT · LITE

handsome-rich/Awesome-Auto-Research-Tools

Default branch main · commit 80405b91 · scanned 6/3/2026, 7:27:57 AM

GitHub: 851 stars · 59 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 handsome-rich/Awesome-Auto-Research-Tools, 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
    awesome-list, ai-agents, research-automation, scientific-research, literature-review, experiment-management, code-generation, llm-agents
  • mediumabout#2
    Refine the About description to emphasize "Awesome List" and "AI-powered"

    Why:

    CURRENT
    A curated collection of automated research tools, covering literature search, paper reading, experiment management, and code generation to help researchers accelerate their workflow.
    COPY-PASTE FIX
    A curated Awesome List of AI-powered tools and agents for automating scientific research, from literature review to experiment management and code generation.
  • lowhomepage#3
    Set the repository's homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/handsome-rich/Awesome-Auto-Research-Tools

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 handsome-rich/Awesome-Auto-Research-Tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Zotero
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Zotero · recommended 1×
  2. Mendeley · recommended 1×
  3. ReadCube Papers · recommended 1×
  4. Labguru · recommended 1×
  5. Benchling · recommended 1×
  • CATEGORY QUERY
    What tools can help automate my scientific literature review and experiment management?
    you: not recommended
    AI recommended (in order):
    1. Zotero
    2. Mendeley
    3. ReadCube Papers
    4. Labguru
    5. Benchling
    6. RSpace
    7. Notion

    AI recommended 7 alternatives but never named handsome-rich/Awesome-Auto-Research-Tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for AI agents to automate the entire scientific research workflow, from idea to paper.
    you: not recommended
    AI recommended (in order):
    1. Elicit
    2. ChatGPT
    3. AlphaFold
    4. RoseTTAFold
    5. ChemOffice+ Cloud
    6. ChemDraw
    7. ChemScript
    8. DataRobot
    9. H2O.ai
    10. Overleaf
    11. Writefull
    12. Grammarly Premium
    13. Scite.ai

    AI recommended 13 alternatives but never named handsome-rich/Awesome-Auto-Research-Tools. 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 handsome-rich/Awesome-Auto-Research-Tools?
    pass
    AI did not name handsome-rich/Awesome-Auto-Research-Tools — 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 handsome-rich/Awesome-Auto-Research-Tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named handsome-rich/Awesome-Auto-Research-Tools 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 handsome-rich/Awesome-Auto-Research-Tools solve, and who is the primary audience?
    pass
    AI did not name handsome-rich/Awesome-Auto-Research-Tools — 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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handsome-rich/Awesome-Auto-Research-Tools — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite