REPOGEO REPORT · LITE

showlab/computer_use_ootb

Default branch main · commit 21b05ae0 · scanned 5/11/2026, 12:38:21 PM

GitHub: 1,936 stars · 203 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 showlab/computer_use_ootb, 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

Add a clear H1 to the README's top, stating its core purpose

Why:

CURRENT

<h2 align="center">
    <a href="https://computer-use-ootb.github.io">
        
    </a>
</h2>

COPY-PASTE FIX

<h1 align="center">Computer Use OOTB: Out-of-the-Box GUI Agent for Windows and macOS</h1>

hightopics#2
Add relevant topics to improve categorization
Why:
CURRENT
```
(none)
```
COPY-PASTE FIX
```
gui-agent, desktop-automation, ai-agent, llm-agent, windows, macos, computer-vision, gradio
```
mediumhomepage#3
Set the project homepage
Why:
CURRENT
```
(none)
```
COPY-PASTE FIX
```
https://computer-use-ootb.github.io
```

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 showlab/computer_use_ootb

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

PyAutoGUI

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

PyAutoGUI · recommended 2×
UI Vision RPA · recommended 2×
AutoHotkey · recommended 2×
Playwright · recommended 1×
Appium Desktop · recommended 1×

CATEGORY QUERY
How to automate desktop GUI interactions on Windows and macOS using an AI agent?
you: not recommended
AI recommended (in order):
1. Playwright
2. PyAutoGUI
3. Appium Desktop
4. UI Vision RPA
5. Microsoft Power Automate Desktop
6. AppleScript
7. AutoHotkey
AI recommended 7 alternatives but never named showlab/computer_use_ootb. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a simple, no-Docker solution to build AI agents for desktop automation.
you: not recommended
AI recommended (in order):
1. PyAutoGUI
2. SikuliX
3. AutoHotkey
4. UI Vision RPA
5. TagUI
AI recommended 5 alternatives but never named showlab/computer_use_ootb. 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 showlab/computer_use_ootb?
pass
AI named showlab/computer_use_ootb explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts showlab/computer_use_ootb in production, what risks or prerequisites should they evaluate first?
pass
AI named showlab/computer_use_ootb 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 showlab/computer_use_ootb solve, and who is the primary audience?
pass
AI did not name showlab/computer_use_ootb — 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 showlab/computer_use_ootb. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/showlab/computer_use_ootb.svg)](https://repogeo.com/en/r/showlab/computer_use_ootb)

HTML

<a href="https://repogeo.com/en/r/showlab/computer_use_ootb"><img src="https://repogeo.com/badge/showlab/computer_use_ootb.svg" alt="RepoGEO" /></a>

Pro

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showlab/computer_use_ootb — 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