RRepoGEO

REPOGEO REPORT · LITE

alumnium-hq/alumnium

Default branch main · commit c0efe94e · scanned 6/6/2026, 7:21:52 PM

GitHub: 898 stars · 91 forks

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 alumnium-hq/alumnium, 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 H1 to explicitly state project category

    Why:

    CURRENT
    <h1>
        <p align="center">
            
            <br />
            Alumnium
        </p>
    </h1>
    COPY-PASTE FIX
    <h1>
        <p align="center">
            
            <br />
            Alumnium: AI-Powered End-to-End Testing for Python & TypeScript
        </p>
    </h1>
  • mediumreadme#2
    Enhance README's introductory paragraph with explicit problem and audience

    Why:

    CURRENT
    Alumnium is an AI-native library and MCP for end-to-end testing. It builds upon the existing test automation ecosystem and simplifies interactions with applications, providing more robust mechanisms for verifying assertions. It works with Appium, Playwright, or Selenium and gives you [state-of-the-art][7] capabilities.
    COPY-PASTE FIX
    Alumnium is an AI-native library and MCP for end-to-end testing. It addresses the challenges of brittle and high-maintenance UI tests by leveraging AI to simplify interactions and provide more robust assertion mechanisms. Designed for developers and QA engineers working with Appium, Playwright, or Selenium, Alumnium offers state-of-the-art capabilities to make your test automation more reliable and efficient.
  • lowreadme#3
    Add a prominent 'Pre-Alpha' warning to the README

    Why:

    COPY-PASTE FIX
    **⚠️ Pre-Alpha Status: Alumnium is currently in pre-alpha and not yet suitable for production use. The API is subject to change without notice.**

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 alumnium-hq/alumnium
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Applitools Eyes · recommended 2×
  2. Testim.io · recommended 2×
  3. Mabl · recommended 2×
  4. Sauce Labs · recommended 1×
  5. Cypress · recommended 1×
  • CATEGORY QUERY
    How can I leverage AI to make my end-to-end test automation more robust and maintainable?
    you: not recommended
    AI recommended (in order):
    1. Applitools Eyes
    2. Testim.io
    3. Mabl
    4. Sauce Labs
    5. Cypress
    6. Percy.io
    7. Chromatic
    8. Playwright

    AI recommended 8 alternatives but never named alumnium-hq/alumnium. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI-powered frameworks integrate with Playwright or Selenium for Python UI testing?
    you: not recommended
    AI recommended (in order):
    1. Applitools Eyes
    2. Testim.io
    3. Mabl
    4. Uiflow
    5. Reflect.run
    6. OpenAI GPT
    7. Hugging Face Transformers

    AI recommended 7 alternatives but never named alumnium-hq/alumnium. 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 alumnium-hq/alumnium?
    pass
    AI named alumnium-hq/alumnium explicitly

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

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

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

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MARKDOWN (README)
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alumnium-hq/alumnium — 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