RRepoGEO

REPOGEO REPORT · LITE

ghostwright/ghost-os

Default branch main · commit 991aa483 · scanned 5/9/2026, 1:47:29 PM

GitHub: 1,443 stars · 136 forks

AI VISIBILITY SCORE
33 /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
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 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.

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
PyAutoGUI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PyAutoGUI · recommended 2×
  2. AppleScript · recommended 1×
  3. AXElements · recommended 1×
  4. Appium · recommended 1×
  5. Keyboard Maestro · recommended 1×
  • CATEGORY QUERY
    How can I enable my AI agent to interact with macOS applications directly?
    you: not recommended
    AI recommended (in order):
    1. AppleScript
    2. AXElements
    3. Appium
    4. PyAutoGUI
    5. Keyboard Maestro
    6. Hammerspoon

    AI recommended 6 alternatives but never named ghostwright/ghost-os. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tools for giving LLM agents full control over desktop applications and workflows?
    you: not recommended
    AI recommended (in order):
    1. AutoHotkey
    2. PyAutoGUI
    3. UIPath Studio
    4. Playwright
    5. SikuliX
    6. Microsoft Power Automate Desktop

    AI recommended 6 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 named ghostwright/ghost-os explicitly

    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?

Embed your GEO score

Drop this badge into the README of ghostwright/ghost-os. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ghostwright/ghost-os.svg)](https://repogeo.com/en/r/ghostwright/ghost-os)
HTML
<a href="https://repogeo.com/en/r/ghostwright/ghost-os"><img src="https://repogeo.com/badge/ghostwright/ghost-os.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ghostwright/ghost-os — 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