RRepoGEO

REPOGEO REPORT · LITE

ghostwright/ghost-os

Default branch main · commit 991aa483 · scanned 6/19/2026, 9:07:32 AM

GitHub: 1,537 stars · 148 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
27 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 ghostwright/ghost-os, 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 H1 to clarify "OS" context

    Why:

    CURRENT
    <h1>Ghost OS</h1><p align="center"><em>Full computer-use for AI agents.</em></p>
    COPY-PASTE FIX
    <h1>Ghost OS: The macOS Environment for AI Agents</h1><p align="center"><em>Full computer-use for AI agents.</em></p>
  • mediumcomparison#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled "Why Ghost OS? (vs. AppleScript, PyAutoGUI, etc.)" that explains how Ghost OS provides a more integrated, agent-centric, and comprehensive solution for full computer-use by AI agents on macOS, beyond simple scripting or UI automation.
  • lowtopics#3
    Expand topics with problem-oriented keywords

    Why:

    CURRENT
    accessibility, ai-agents, automation, claude-code, computer-use, llm-tools, macos, mcp, recipes, swift
    COPY-PASTE FIX
    Add `ai-agent-orchestration`, `macos-automation-for-ai`, `llm-desktop-control`, `agent-operating-environment` to the existing topics.

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 ghostwright/ghost-os
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. Keyboard Maestro · recommended 2×
  3. pyautogui/pyautogui · recommended 1×
  4. appium/appium-desktop · recommended 1×
  5. openai/gym · recommended 1×
  • CATEGORY QUERY
    How can I enable AI agents to fully interact with a macOS desktop environment?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. PyAutoGUI (pyautogui/pyautogui)
    3. Appium Desktop (appium/appium-desktop)
    4. OpenAI Gym (openai/gym)
    5. Keyboard Maestro
    6. Tesseract (tesseract-ocr/tesseract)
    7. Google Cloud Vision API
    8. Apple's Vision framework

    AI recommended 8 alternatives but never named ghostwright/ghost-os. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to give LLM agents full control over macOS applications and UI.
    you: not recommended
    AI recommended (in order):
    1. OpenAI's GPT-4o with Vision
    2. Appium
    3. PyAutoGUI
    4. AppleScript
    5. Keyboard Maestro
    6. Selenium WebDriver
    7. Playwright
    8. Hammerspoon

    AI recommended 8 alternatives but never named ghostwright/ghost-os. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 ghostwright/ghost-os?
    pass
    AI did not name ghostwright/ghost-os — 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 ghostwright/ghost-os in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ghostwright/ghost-os 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 ghostwright/ghost-os solve, and who is the primary audience?
    pass
    AI did not name ghostwright/ghost-os — 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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  • Brand-free category queries5 vs 2 in Lite
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