RRepoGEO

REPOGEO REPORT · LITE

microsoft/magentic-ui

Default branch main · commit f705b0ee · scanned 5/10/2026, 12:56:29 PM

GitHub: 9,804 stars · 977 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 microsoft/magentic-ui, 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 paragraph to clarify its role as a human-centered web agent

    Why:

    CURRENT
    Magentic-UI is a **research prototype** human-centered AI agent that solves complex web and coding tasks that may require monitoring. Unlike other black-box agents, the system reveals its plan before executions, lets you guide its actions, and requests approval for sensitive operations while browsing websites, executing code, and analyzing files.
    COPY-PASTE FIX
    Magentic-UI is a **human-centered web agent** that automates complex web and coding tasks while keeping you in control. Unlike black-box agents or traditional web automation tools, Magentic-UI reveals its plan, lets you guide its actions, and requests approval for sensitive operations, making it ideal for monitoring and repeatable workflows.
  • mediumtopics#2
    Add more specific topics to highlight human-in-the-loop and controlled automation

    Why:

    CURRENT
    agents, ai, ai-ux, autogen, browser-use, computer-use-agent, cua, ui
    COPY-PASTE FIX
    agents, ai, ai-ux, autogen, browser-use, computer-use-agent, cua, ui, human-in-the-loop, interactive-agent, controlled-automation, web-monitoring, task-automation
  • mediumcomparison#3
    Add a "Comparison" section to the README to differentiate from common alternatives

    Why:

    COPY-PASTE FIX
    Add a new section to the README, e.g., "Magentic-UI vs. Other Agents & Automation Tools". This section should explain how Magentic-UI's human-centered, interactive approach differs from fully autonomous agents (like AutoGPT, CrewAI) and purely programmatic web automation tools (like Playwright, Selenium).

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/magentic-ui
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 1×
  2. Puppeteer · recommended 1×
  3. Selenium WebDriver · recommended 1×
  4. Robocorp · recommended 1×
  5. BrowserFlow · recommended 1×
  • CATEGORY QUERY
    How can I automate web tasks with an AI agent that keeps me in control?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. Puppeteer
    3. Selenium WebDriver
    4. Robocorp
    5. BrowserFlow
    6. UI Vision RPA

    AI recommended 6 alternatives but never named microsoft/magentic-ui. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI agent for automating repeatable web monitoring and complex coding tasks with file analysis.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. GPT-Engineer
    3. LangChain Agents
    4. CrewAI
    5. SuperAGI
    6. Open Interpreter

    AI recommended 6 alternatives but never named microsoft/magentic-ui. 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/magentic-ui?
    pass
    AI did not name microsoft/magentic-ui — 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/magentic-ui in production, what risks or prerequisites should they evaluate first?
    pass
    AI named microsoft/magentic-ui 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/magentic-ui solve, and who is the primary audience?
    pass
    AI named microsoft/magentic-ui 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/magentic-ui. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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HTML
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  • Brand-free category queries5 vs 2 in Lite
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