RRepoGEO

REPOGEO REPORT · LITE

showlab/Awesome-GUI-Agent

Default branch main · commit 25b01b45 · scanned 5/30/2026, 2:48:44 PM

GitHub: 1,192 stars · 72 forks

AI VISIBILITY SCORE
22 /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
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 showlab/Awesome-GUI-Agent, 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
  • highabout#1
    Refine the 'About' description to emphasize research and guidance

    Why:

    CURRENT
    💻 A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.
    COPY-PASTE FIX
    A comprehensive, curated list of research papers and resources for multi-modal Graphical User Interface (GUI) agents, guiding researchers and developers through the field.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clearly state the terms of use.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project page, a related publication, or the organization's main page) to the repository's homepage field.

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/Awesome-GUI-Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Robocorp
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Robocorp · recommended 2×
  2. UiPath · recommended 2×
  3. OpenAI GPT-4V (Vision) · recommended 1×
  4. microsoft/playwright · recommended 1×
  5. SeleniumHQ/selenium · recommended 1×
  • CATEGORY QUERY
    How to find research and tools for building AI agents that interact with GUIs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4V (Vision)
    2. Playwright (microsoft/playwright)
    3. Selenium (SeleniumHQ/selenium)
    4. Puppeteer (puppeteer/puppeteer)
    5. Appium (appium/appium)
    6. AutoGPT (Significant-Gravitas/AutoGPT)
    7. BabyAGI (yoheinakajima/babyagi)
    8. Microsoft Playwright for Desktop (microsoft/playwright-desktop)
    9. Robocorp
    10. UiPath
    11. Automation Anywhere
    12. OpenAI Universe (openai/universe)

    AI recommended 12 alternatives but never named showlab/Awesome-GUI-Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best resources for developing LLM-powered agents for desktop automation?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. LlamaIndex
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. Robocorp
    7. UiPath
    8. PyAutoGUI
    9. Selenium

    AI recommended 9 alternatives but never named showlab/Awesome-GUI-Agent. 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/Awesome-GUI-Agent?
    pass
    AI did not name showlab/Awesome-GUI-Agent — 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 showlab/Awesome-GUI-Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named showlab/Awesome-GUI-Agent 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/Awesome-GUI-Agent solve, and who is the primary audience?
    pass
    AI did not name showlab/Awesome-GUI-Agent — 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/Awesome-GUI-Agent. 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
<a href="https://repogeo.com/en/r/showlab/Awesome-GUI-Agent"><img src="https://repogeo.com/badge/showlab/Awesome-GUI-Agent.svg" alt="RepoGEO" /></a>
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showlab/Awesome-GUI-Agent — 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