RRepoGEO

REPOGEO REPORT · LITE

kernel/kernel-images

Default branch main · commit 4675f3b7 · scanned 5/29/2026, 2:48:15 PM

GitHub: 884 stars · 64 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 kernel/kernel-images, 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 clarify project focus on browser images

    Why:

    CURRENT
    Kernel provides sandboxed, ready-to-use Chrome browsers for browser automations and web agents. This repo powers our hosted services.
    COPY-PASTE FIX
    Kernel provides sandboxed, ready-to-use Chrome browser *images* for browser automations and web agents. *This project focuses on browser environments, not operating system kernels.* This repo powers our hosted services.
  • highreadme#2
    Add a section to README differentiating from client-side libraries and testing platforms

    Why:

    COPY-PASTE FIX
    **How Kernel Integrates with Your Workflow**
Unlike client-side browser automation libraries such as Playwright or Puppeteer, Kernel provides the *sandboxed, remote browser environment itself* as a service or container image. These client libraries can then connect to and control the browsers provided by Kernel. Similarly, while platforms like BrowserStack or Sauce Labs offer full testing suites, Kernel focuses specifically on delivering highly configurable, performant browser images for your custom automation and agent needs.
  • mediumtopics#3
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, browser, container, docker, infrastructure, unikernel, vm
    COPY-PASTE FIX
    ai, browser, container, docker, infrastructure, unikernel, vm, browsers-as-a-service, remote-browser, browser-automation-service, headless-chrome-service, web-agents

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 kernel/kernel-images
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Puppeteer
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Puppeteer · recommended 1×
  2. Playwright · recommended 1×
  3. Selenium WebDriver · recommended 1×
  4. CefSharp · recommended 1×
  5. Pyppeteer · recommended 1×
  • CATEGORY QUERY
    How to run sandboxed Chrome browsers for AI web agents and automated workflows?
    you: not recommended
    AI recommended (in order):
    1. Puppeteer
    2. Playwright
    3. Selenium WebDriver
    4. CefSharp
    5. Pyppeteer
    6. Browserless
    7. Headless-Render-API

    AI recommended 7 alternatives but never named kernel/kernel-images. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a service for remote browser control, live viewing, and session replays in containers.
    you: not recommended
    AI recommended (in order):
    1. BrowserStack
    2. Sauce Labs
    3. Playwright (microsoft/playwright)
    4. Selenium Grid (SeleniumHQ/selenium)
    5. TestProject.io
    6. Cypress Dashboard (cypress-io/cypress)

    AI recommended 6 alternatives but never named kernel/kernel-images. 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 kernel/kernel-images?
    pass
    AI named kernel/kernel-images explicitly

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

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