RRepoGEO

REPOGEO REPORT · LITE

inclusionAI/UI-Venus

Default branch UI-Venus-1.5 · commit 192a9247 · scanned 5/27/2026, 7:33:08 AM

GitHub: 1,006 stars · 84 forks

AI VISIBILITY SCORE
35 /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
3 / 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 inclusionAI/UI-Venus, 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 opening to clarify core purpose and avoid misinterpretation

    Why:

    CURRENT
    UI-Venus 1.5 is a unified, end-to-end GUI Agent designed for robust real-world applications.
    COPY-PASTE FIX
    UI-Venus 1.5 is a unified, end-to-end **GUI Agent** for **automated UI interaction and navigation** on web and mobile, performing **precise GUI element grounding** using only screenshots. It is an AI agent for automating UIs, not a framework for building them.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root, likely using the Apache-2.0 license as indicated by the README's badge.
  • mediumtopics#3
    Add more specific topics for UI automation and visual AI

    Why:

    CURRENT
    grounding, multimodel-large-language-model, reinforcement-learning, ui-agent
    COPY-PASTE FIX
    grounding, multimodel-large-language-model, reinforcement-learning, ui-agent, ui-automation, visual-automation, gui-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 inclusionAI/UI-Venus
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Applitools Eyes
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Applitools Eyes · recommended 1×
  2. TestProject.io · recommended 1×
  3. SikuliX · recommended 1×
  4. OpenCV · recommended 1×
  5. Robot Framework · recommended 1×
  • CATEGORY QUERY
    How to automate UI interactions on web and mobile using only visual input?
    you: not recommended
    AI recommended (in order):
    1. Applitools Eyes
    2. TestProject.io
    3. SikuliX
    4. OpenCV
    5. Robot Framework
    6. SikuliLibrary
    7. Visual Studio App Center
    8. Xamarin.UITest
    9. Appium

    AI recommended 9 alternatives but never named inclusionAI/UI-Venus. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an AI model for robust GUI element identification and navigation from screenshots.
    you: not recommended
    AI recommended (in order):
    1. Applitools Ultrafast Test Cloud
    2. OpenCV (opencv/opencv)
    3. Microsoft Playwright (microsoft/playwright)
    4. Google Cloud Vision AI
    5. Amazon Rekognition
    6. Tesseract OCR (tesseract-ocr/tesseract)
    7. Robocorp

    AI recommended 7 alternatives but never named inclusionAI/UI-Venus. 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 inclusionAI/UI-Venus?
    pass
    AI named inclusionAI/UI-Venus explicitly

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

  • If a team adopts inclusionAI/UI-Venus in production, what risks or prerequisites should they evaluate first?
    pass
    AI named inclusionAI/UI-Venus 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 inclusionAI/UI-Venus solve, and who is the primary audience?
    pass
    AI named inclusionAI/UI-Venus 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 inclusionAI/UI-Venus. 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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inclusionAI/UI-Venus — 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