RRepoGEO

REPOGEO REPORT · LITE

ranpox/awesome-computer-use

Default branch main · commit 1ef73a80 · scanned 6/7/2026, 2:17:32 PM

GitHub: 562 stars · 38 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 ranpox/awesome-computer-use, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README's opening to clarify 'awesome list' and 'AI agents for GUI'

    Why:

    CURRENT
    This is a collection of resources for computer-use agents, including videos, blogs, papers, and projects.
    COPY-PASTE FIX
    This is an **awesome list** and curated collection of resources for **AI agents capable of interacting with computer GUIs**, including videos, blogs, papers, and open-source projects. It focuses specifically on the emerging field of **Large Language Model (LLM) agents** that automate computer tasks.
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's goals for sharing resources.

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 ranpox/awesome-computer-use
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
microsoft/playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. microsoft/playwright · recommended 1×
  2. SeleniumHQ/selenium · recommended 1×
  3. asweigart/pyautogui · recommended 1×
  4. opencv/opencv · recommended 1×
  5. tesseract-ocr/tesseract · recommended 1×
  • CATEGORY QUERY
    Seeking comprehensive resources for developing AI agents capable of interacting with computer GUIs.
    you: not recommended
    AI recommended (in order):
    1. Playwright (microsoft/playwright)
    2. Selenium WebDriver (SeleniumHQ/selenium)
    3. PyAutoGUI (asweigart/pyautogui)
    4. OpenCV (opencv/opencv)
    5. Tesseract OCR (tesseract-ocr/tesseract)
    6. RPA Framework (robocorp/rpaframework)
    7. Appium (appium/appium)

    AI recommended 7 alternatives but never named ranpox/awesome-computer-use. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to find projects and papers on AI agents that automate computer tasks via GUI?
    you: not recommended
    AI recommended (in order):
    1. Google Scholar
    2. arXiv
    3. GitHub
    4. PyAutoGUI
    5. Selenium
    6. Appium
    7. OpenCV
    8. Transformers
    9. CHI (Conference on Human Factors in Computing Systems)
    10. UIST (ACM Symposium on User Interface Software and Technology)
    11. NeurIPS
    12. ICML
    13. ICLR
    14. AAAI
    15. IJCAI

    AI recommended 15 alternatives but never named ranpox/awesome-computer-use. 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 ranpox/awesome-computer-use?
    pass
    AI named ranpox/awesome-computer-use explicitly

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

  • If a team adopts ranpox/awesome-computer-use in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ranpox/awesome-computer-use 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 ranpox/awesome-computer-use solve, and who is the primary audience?
    pass
    AI did not name ranpox/awesome-computer-use — 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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ranpox/awesome-computer-use — 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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