REPOGEO REPORT · LITE

microsoft/UFO

Default branch main · commit b28183fd · scanned 6/30/2026, 12:21:32 AM

GitHub: 9,168 stars · 1,033 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

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 microsoft/UFO, 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 highlight LLM-driven Windows GUI automation and multi-device orchestration.

Why:

CURRENT

<h1 align="center">
  <b>UFO³</b>  : Weaving the Digital Agent Galaxy
</h1>
<p align="center">
  <em>From Single Device Agent to Multi-Device Galaxy</em>
</p>

COPY-PASTE FIX

<h1 align="center">
  <b>UFO³</b>  : Intelligent LLM-Powered Agents for Windows GUI & Multi-Device Automation
</h1>
<p align="center">
  <em>A cutting-edge framework for automating complex multi-step workflows across Windows applications and diverse devices.</em>
</p>

mediumtopics#2

Add more specific topics to improve categorization.

Why:

CURRENT

agent, automation, copilot, gui, llm, windows

COPY-PASTE FIX

agent, automation, copilot, gui, llm, windows, gui-automation, llm-agents, multi-device-automation, windows-automation, ai-agents, cross-device

lowreadme#3

Clearly state the project's research/early-stage status in the README.

Why:

COPY-PASTE FIX

⚠️ **Project Status:** UFO³ is currently an active research project and an early-stage proof-of-concept. While powerful, it is not yet recommended for production environments.

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 microsoft/UFO

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×
Appium · recommended 2×
LangChain · recommended 1×
Selenium · recommended 1×
UIAutomator2 · recommended 1×

CATEGORY QUERY
How can I automate complex multi-step workflows across different devices using AI agents?
you: not recommended
AI recommended (in order):
1. LangChain
2. PyAutoGUI
3. Selenium
4. Appium
5. UIAutomator2
6. XCUITest
7. Home Assistant API
8. MQTT
9. Microsoft Power Automate
10. AI Builder
11. UI Flows
12. Zapier
13. OpenAI
14. ChatGPT
15. IFTTT
16. Google Home
17. Alexa
18. Home Assistant
19. AppDaemon
20. Node-RED
21. Robocorp
22. Hugging Face
23. UiPath
24. AI Center
25. Studio
AI recommended 25 alternatives but never named microsoft/UFO. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools help build intelligent agents for GUI automation on Windows with LLM capabilities?
you: not recommended
AI recommended (in order):
1. Microsoft Playwright
2. OpenAI API
3. Azure OpenAI Service
4. AutoHotkey
5. ahk
6. UIPath Studio
7. AI Fabric
8. Document Understanding
9. Integration Service
10. PyAutoGUI
11. Pillow
12. Tesseract
13. EasyOCR
14. Selenium WebDriver
15. Appium
16. WinAppDriver
17. Talon Voice
AI recommended 17 alternatives but never named microsoft/UFO. 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 microsoft/UFO?
pass
AI did not name microsoft/UFO — 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 microsoft/UFO in production, what risks or prerequisites should they evaluate first?
pass
AI named microsoft/UFO 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 microsoft/UFO solve, and who is the primary audience?
pass
AI named microsoft/UFO explicitly
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 microsoft/UFO. 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/microsoft/UFO.svg)](https://repogeo.com/en/r/microsoft/UFO)

HTML

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

Pro

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microsoft/UFO — 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