RRepoGEO

REPOGEO REPORT · LITE

a-real-ai/pywinassistant

Default branch main · commit 5e3df3b1 · scanned 6/25/2026, 12:32:32 PM

GitHub: 1,342 stars · 187 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 a-real-ai/pywinassistant, 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 README's opening to emphasize unique approach and contrast with alternatives

    Why:

    CURRENT
    PyWinAssistant is the first open-source Artificial Narrow Intelligence to elicit spatial reasoning and perception as a generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) for Windows 10/11 through direct OS-native semantic interaction. It functions as a Computer-Using-Agent / Large-Action-Model, forming the foundation for a pure symbolic spatial cognition framework that enables artificial operation of a computer using only natural language, without relying on computer vision, OCR, or pixel-level imaging.
    COPY-PASTE FIX
    PyWinAssistant is the first open-source Artificial Narrow Intelligence (ANI) framework for Windows GUI automation that *breaks free from screen scraping and pixel-based methods*. It enables generalist agentic control of graphical-user-interfaces (GUIs) for Windows 10/11 through direct OS-native semantic interaction, allowing artificial operation of a computer using only natural language. This unique Computer-Using-Agent / Large-Action-Model forms a pure symbolic spatial cognition framework, offering a robust alternative to traditional UI automation tools.
  • mediumabout#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://pywinassistant.com
  • lowtopics#3
    Expand repository topics with more specific, user-centric keywords

    Why:

    CURRENT
    artificial-general-intelligence, artificial-intelligence-algorithms, artificial-narrow-intelligence, computer-using-agent, cot, cua, graphical-user-interface, ui, ui-ux, ux, vot
    COPY-PASTE FIX
    artificial-narrow-intelligence, computer-using-agent, gui-automation, windows-automation, natural-language-processing, agentic-ai, desktop-automation, semantic-ui, accessibility-apis, large-action-model, symbolic-ai, no-screen-scraping, ui-automation, python

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 a-real-ai/pywinassistant
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Microsoft Power Automate Desktop with AI Builder
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Microsoft Power Automate Desktop with AI Builder · recommended 1×
  2. UiPath Studio with AI Fabric/Document Understanding · recommended 1×
  3. Appian RPA with Appian AI · recommended 1×
  4. Pywinauto · recommended 1×
  5. spaCy · recommended 1×
  • CATEGORY QUERY
    How to automate Windows GUI applications using natural language without screen scraping?
    you: not recommended
    AI recommended (in order):
    1. Microsoft Power Automate Desktop with AI Builder
    2. UiPath Studio with AI Fabric/Document Understanding
    3. Appian RPA with Appian AI
    4. Pywinauto
    5. spaCy
    6. NLTK
    7. Hugging Face Transformers
    8. Robot Framework
    9. WindowsLibrary

    AI recommended 9 alternatives but never named a-real-ai/pywinassistant. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an AI agent framework to control desktop applications via OS-level interactions.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. LangChain
    3. PyAutoGUI
    4. Taskade
    5. Robocorp
    6. Playwright

    AI recommended 6 alternatives but never named a-real-ai/pywinassistant. 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 a-real-ai/pywinassistant?
    pass
    AI did not name a-real-ai/pywinassistant — 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 a-real-ai/pywinassistant in production, what risks or prerequisites should they evaluate first?
    pass
    AI named a-real-ai/pywinassistant 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 a-real-ai/pywinassistant solve, and who is the primary audience?
    pass
    AI named a-real-ai/pywinassistant explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
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