RRepoGEO

REPOGEO REPORT · LITE

executeautomation/mcp-playwright

Default branch main · commit 2349c289 · scanned 6/23/2026, 6:18:13 AM

GitHub: 5,554 stars · 521 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
22 /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
1 / 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 executeautomation/mcp-playwright, 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

2 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 emphasize LLM/AI assistant integration

    Why:

    CURRENT
    A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, generate test code, web scrapes the page and execute JavaScript in a real browser environment.
    COPY-PASTE FIX
    This Playwright Model Context Protocol (MCP) server is specifically designed to empower Large Language Models (LLMs) and AI assistants, enabling them to automate browsers and APIs for tasks like web scraping, test generation, and interactive web page control within environments like Claude Desktop, Cline, and Cursor IDE.
  • mediumreadme#2
    Add a dedicated section for LLM use cases

    Why:

    COPY-PASTE FIX
    ## Empowering LLMs with Browser Control
    
    This MCP server provides a robust interface for LLMs to perform complex browser interactions. Beyond device emulation, AI assistants can leverage this server to:
    - **Web Scraping:** Extract structured data from any web page.
    - **Test Generation & Execution:** Automatically create and run end-to-end tests.
    - **Interactive Control:** Navigate, click, type, and interact with web elements.
    - **API Automation:** Integrate with backend services alongside browser actions.
    - **Screenshot & PDF Generation:** Capture visual states or full page content.

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 executeautomation/mcp-playwright
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Browserless.io
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Browserless.io · recommended 2×
  2. Playwright · recommended 1×
  3. OpenAI GPT-4o · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. OpenAI GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How can I integrate large language models with browser automation for web scraping tasks?
    you: not recommended
    AI recommended (in order):
    1. Playwright
    2. OpenAI GPT-4o
    3. OpenAI GPT-4
    4. OpenAI GPT-3.5 Turbo
    5. Selenium
    6. Puppeteer
    7. LangChain
    8. Anthropic Claude
    9. Google Gemini
    10. Llama 3
    11. Beautiful Soup
    12. lxml
    13. Requests
    14. Browserless.io
    15. ScrapingBee

    AI recommended 15 alternatives but never named executeautomation/mcp-playwright. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a server that allows LLMs to control browser actions for web page interaction.
    you: not recommended
    AI recommended (in order):
    1. Browserless.io
    2. Playwright (microsoft/playwright)
    3. Puppeteer (puppeteer/puppeteer)
    4. Selenium Grid (SeleniumHQ/selenium)
    5. Autobahn (crossbario/autobahn-python)
    6. Headless-Render-API

    AI recommended 6 alternatives but never named executeautomation/mcp-playwright. 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 executeautomation/mcp-playwright?
    pass
    AI did not name executeautomation/mcp-playwright — 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?

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

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  • Brand-free category queries5 vs 2 in Lite
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