RRepoGEO

REPOGEO REPORT · LITE

MaaXYZ/MaaFramework

Default branch main · commit 30277982 · scanned 5/21/2026, 8:18:00 AM

GitHub: 4,057 stars · 446 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)

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

AI VISIBILITY SCORE
40 /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
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 MaaXYZ/MaaFramework, 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 general-purpose black-box testing

    Why:

    CURRENT
    **MaaFramework** 是基于图像识别技术、运用 MAA 开发经验去芜存菁、完全重写的新一代自动化黑盒测试框架。
    COPY-PASTE FIX
    **MaaFramework** 是一个通用的、基于图像识别的自动化黑盒测试框架，旨在为各类应用程序（而非仅限于游戏）提供高效的UI自动化测试解决方案。它汲取了MAA项目的开发经验，但已完全重写，成为新一代的独立测试框架。
  • mediumtopics#2
    Add more specific topics for UI automation and low-code

    Why:

    CURRENT
    black-box-testing, computer-vision
    COPY-PASTE FIX
    black-box-testing, computer-vision, ui-automation, low-code, visual-testing, test-automation
  • mediumcomparison#3
    Add a "Comparison with Similar Tools" section to the README

    Why:

    COPY-PASTE FIX
    Add a new section titled `## 对比同类工具` (Comparison with Similar Tools) or `## Why MaaFramework?` that outlines how MaaFramework stands out from other black-box testing, UI automation, or visual testing tools, especially those based on image recognition (like SikuliX) or low-code platforms (like UiPath). This section should highlight unique features, target audience, or architectural advantages.

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 MaaXYZ/MaaFramework
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. TestComplete · recommended 1×
  3. Ranorex Studio · recommended 1×
  4. RaiMan/SikuliX1 · recommended 1×
  5. Tricentis Tosca · recommended 1×
  • CATEGORY QUERY
    Automate black-box testing for applications using image recognition and visual UI verification.
    you: not recommended
    AI recommended (in order):
    1. Applitools Eyes
    2. TestComplete
    3. Ranorex Studio
    4. SikuliX (RaiMan/SikuliX1)
    5. Tricentis Tosca

    AI recommended 5 alternatives but never named MaaXYZ/MaaFramework. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for low-code black-box UI automation with computer vision?
    you: not recommended
    AI recommended (in order):
    1. Appian RPA
    2. UiPath Studio
    3. Automation Anywhere
    4. Microsoft Power Automate Desktop
    5. Robot Framework
    6. SikuliLibrary

    AI recommended 6 alternatives but never named MaaXYZ/MaaFramework. 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 MaaXYZ/MaaFramework?
    pass
    AI named MaaXYZ/MaaFramework explicitly

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

  • If a team adopts MaaXYZ/MaaFramework in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MaaXYZ/MaaFramework 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 MaaXYZ/MaaFramework solve, and who is the primary audience?
    pass
    AI named MaaXYZ/MaaFramework explicitly

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

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MaaXYZ/MaaFramework — 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