RRepoGEO

REPOGEO REPORT · LITE

vignshwarar/AI-Employe

Default branch main · commit 910ff98f · scanned 6/12/2026, 1:53:28 AM

GitHub: 584 stars · 54 forks

AI VISIBILITY SCORE
28 /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
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 vignshwarar/AI-Employe, 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
    Add a concise, benefit-driven introduction to the README

    Why:

    CURRENT
    The README currently begins with `## Install`.
    COPY-PASTE FIX
    Insert this text at the very top of the README, before any existing content:
    "**AI-Employe** empowers you to create browser automation by *teaching* an AI, much like you'd instruct a human. Leveraging GPT-4 Vision, it translates natural language instructions and visual cues into precise browser actions, making complex web tasks intuitive and accessible."
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to a live demo, project page, or dedicated website in the repository's 'About' section (e.g., `https://ai-employe.vercel.app` or `https://your-project-site.com`).
  • lowtopics#3
    Expand repository topics for better categorization

    Why:

    CURRENT
    automation, automation-testing, gpt-4, multimodal, productivity, rpa
    COPY-PASTE FIX
    automation, automation-testing, gpt-4, multimodal, productivity, rpa, ai-agent, visual-automation, natural-language-automation, ai-employee

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 vignshwarar/AI-Employe
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Playwright
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Playwright · recommended 1×
  2. GPT-4V (Vision) · recommended 1×
  3. LLaVA · recommended 1×
  4. Robocorp · recommended 1×
  5. RPA.Browser.Selenium · recommended 1×
  • CATEGORY QUERY
    How to automate browser interactions using AI vision and natural language instructions?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. GPT-4V (Vision)
    3. LLaVA
    4. Robocorp
    5. RPA.Browser.Selenium
    6. RPA.Browser.Playwright
    7. UiPath
    8. Selenium
    9. OpenCV
    10. Tome.app
    11. pyautogui
    12. Pillow
    13. transformers

    AI recommended 13 alternatives but never named vignshwarar/AI-Employe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable creating browser automation scripts by visually demonstrating steps?
    you: not recommended
    AI recommended (in order):
    1. Playwright Inspector / Playwright Codegen (microsoft/playwright)
    2. Puppeteer Recorder
    3. Selenium IDE (SeleniumHQ/selenium-ide)
    4. Katalon Studio
    5. TestProject
    6. UI.Vision RPA

    AI recommended 6 alternatives but never named vignshwarar/AI-Employe. 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 vignshwarar/AI-Employe?
    pass
    AI named vignshwarar/AI-Employe explicitly

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

  • If a team adopts vignshwarar/AI-Employe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vignshwarar/AI-Employe 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 vignshwarar/AI-Employe solve, and who is the primary audience?
    pass
    AI did not name vignshwarar/AI-Employe — 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?

Embed your GEO score

Drop this badge into the README of vignshwarar/AI-Employe. 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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vignshwarar/AI-Employe — 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