RRepoGEO

REPOGEO REPORT · LITE

deedy/mac_computer_use

Default branch main · commit 80851317 · scanned 6/7/2026, 11:22:47 PM

GitHub: 874 stars · 137 forks

AI VISIBILITY SCORE
35 /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
3 / 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 deedy/mac_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

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 clarify AI agent control

    Why:

    CURRENT
    # Anthropic Computer Use (for Mac)

Anthropic Computer Use is a beta Anthropic feature which runs a Docker image with Ubuntu and controls it. This fork allows you to run it natively on macOS, providing direct system control through native macOS commands and utilities.
    COPY-PASTE FIX
    # AI Agent Control for Mac (Anthropic Computer Use Fork)

This project enables AI models like Claude to autonomously control your macOS computer natively, without Docker. It's a fork of Anthropic Computer Use, adapted to provide direct system control through native macOS commands and utilities.
  • hightopics#2
    Add more specific topics for AI agent control and macOS automation

    Why:

    CURRENT
    ai, anthropic, claude, computer-use
    COPY-PASTE FIX
    ai, anthropic, claude, computer-use, llm-agent, macos-automation, desktop-control, autonomous-ai, ai-agent-control
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Apache-2.0

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 deedy/mac_computer_use
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AppleScript
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AppleScript · recommended 2×
  2. PyAutoGUI · recommended 2×
  3. Keyboard Maestro · recommended 2×
  4. Selenium · recommended 2×
  5. System Events · recommended 1×
  • CATEGORY QUERY
    How can I enable an AI agent to autonomously control my macOS desktop environment natively?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. System Events
    3. Accessibility Inspector
    4. PyAutoGUI
    5. Keyboard Maestro
    6. Hammerspoon
    7. WebDriver
    8. Selenium
    9. Playwright

    AI recommended 9 alternatives but never named deedy/mac_computer_use. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a tool to allow LLMs to control keyboard and mouse on macOS without Docker.
    you: not recommended
    AI recommended (in order):
    1. PyAutoGUI
    2. AppleScript
    3. Appium
    4. Selenium
    5. Keyboard Maestro

    AI recommended 5 alternatives but never named deedy/mac_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 deedy/mac_computer_use?
    pass
    AI named deedy/mac_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 deedy/mac_computer_use in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deedy/mac_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 deedy/mac_computer_use solve, and who is the primary audience?
    pass
    AI named deedy/mac_computer_use explicitly

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

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deedy/mac_computer_use — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite