RRepoGEO

REPOGEO REPORT · LITE

askui/python-sdk

Default branch main · commit 991ac095 · scanned 5/30/2026, 10:07:28 AM

GitHub: 544 stars · 62 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 askui/python-sdk, 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 statement to emphasize AI-vision and robustness

    Why:

    CURRENT
    **Enable AI agents to control your desktop (Windows, MacOS, Linux), mobile (Android, iOS) and HMI devices**
    COPY-PASTE FIX
    **AskUI Python SDK enables AI agents to control desktop, mobile, and HMI devices with robust, vision-based UI automation, eliminating brittle selectors.**
  • mediumreadme#2
    Explicitly contrast AskUI with selector-based frameworks in the 'Why AskUI?' section

    Why:

    CURRENT
    Traditional UI automation is fragile.
    COPY-PASTE FIX
    Traditional UI automation, relying on brittle selectors (like those in Appium, Playwright, or Selenium), is fragile. Every time a button moves, a label changes, or a layout shifts, your scripts break. AskUI solves this by combining vision-based automation and AI-powered agents, offering a robust alternative to selector-based frameworks.
  • lowtopics#3
    Add more specific topics to reinforce AI-driven UI automation and robustness

    Why:

    CURRENT
    agents, computer-vision, llms, rpa, test-automation, vision-agents
    COPY-PASTE FIX
    agents, computer-vision, llms, rpa, test-automation, vision-agents, ai-ui-automation, robust-ui-automation

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 askui/python-sdk
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Appium
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Appium · recommended 1×
  2. OpenCV · recommended 1×
  3. Pillow · recommended 1×
  4. SikuliX · recommended 1×
  5. Jython · recommended 1×
  • CATEGORY QUERY
    Python library for robust cross-platform UI automation using vision and AI agents?
    you: not recommended
    AI recommended (in order):
    1. Appium
    2. OpenCV
    3. Pillow
    4. SikuliX
    5. Jython
    6. PyAutoGUI
    7. Playwright
    8. Robot Framework
    9. AppiumLibrary
    10. SikuliLibrary
    11. SeleniumLibrary

    AI recommended 11 alternatives but never named askui/python-sdk. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to automate desktop and mobile UI interactions without relying on brittle selectors?
    you: not recommended
    AI recommended (in order):
    1. Appium (appium/appium)
    2. WinAppDriver (microsoft/WinAppDriver)
    3. Playwright (microsoft/playwright)
    4. Taiko (getgauge/taiko)
    5. UI Automation
    6. TestComplete
    7. Ranorex

    AI recommended 7 alternatives but never named askui/python-sdk. 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 askui/python-sdk?
    pass
    AI did not name askui/python-sdk — 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 askui/python-sdk in production, what risks or prerequisites should they evaluate first?
    pass
    AI named askui/python-sdk 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 askui/python-sdk solve, and who is the primary audience?
    pass
    AI named askui/python-sdk 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 askui/python-sdk. 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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askui/python-sdk — 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