RRepoGEO

REPOGEO REPORT · LITE

any4ai/AnyCrawl

Default branch main · commit 0e170bf5 · scanned 5/28/2026, 1:02:37 PM

GitHub: 3,175 stars · 342 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 any4ai/AnyCrawl, 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 value proposition immediately after the H1

    Why:

    CURRENT
    The current README structure places the 'Overview' section further down after a large banner and sponsor information, with a generic H1.
    COPY-PASTE FIX
    Add the following text directly under the main `<h1>AnyCrawl</h1>` heading, before any badges or sponsor sections:
    ```html
    <p align="center">
      A high-performance Node.js/TypeScript crawler that transforms websites into LLM-ready data and extracts structured SERP results from Google/Bing/Baidu/etc., featuring native multi-threading for bulk processing.
    </p>
    ```
  • mediumtopics#2
    Expand topics to include specific LLM data preparation and tech stack keywords

    Why:

    CURRENT
    ai-scraping, aitools, crawl, data, html-to-markdown, rag, scrape, scraping, serp, webscraper
    COPY-PASTE FIX
    ai-scraping, aitools, crawl, data, html-to-markdown, rag, scrape, scraping, serp, webscraper, llm-data-preparation, serp-api, search-engine-scraper, nodejs-scraper, typescript-scraper, web-data-extraction
  • lowcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Create a new section in the README, for example:
    ```markdown
    ## 🆚 AnyCrawl vs. Alternatives
    
    AnyCrawl is designed specifically for generating LLM-ready data and structured SERP extraction, built on Node.js/TypeScript for high performance.
    
    - **Compared to Scrapy (Python):** AnyCrawl offers a modern Node.js/TypeScript stack, native multi-threading, and a direct focus on LLM data preparation and structured SERP results, often integrating headless browser capabilities more seamlessly for dynamic content.
    - **Compared to Playwright/Puppeteer (browser automation):** While AnyCrawl can leverage headless browsers, it provides a higher-level framework specifically for crawling and data extraction, handling common patterns like pagination, rate limiting, and data structuring out-of-the-box, rather than requiring manual scripting for each task.
    - **Compared to Beautiful Soup/Requests (basic parsing):** AnyCrawl is a full-fledged crawling toolkit, handling HTTP requests, concurrency, and data processing, making it suitable for large-scale projects where basic parsing libraries are insufficient.
    ```

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 any4ai/AnyCrawl
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
scrapy/scrapy
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. scrapy/scrapy · recommended 1×
  2. crummy/BeautifulSoup · recommended 1×
  3. psf/requests · recommended 1×
  4. microsoft/playwright · recommended 1×
  5. puppeteer/puppeteer · recommended 1×
  • CATEGORY QUERY
    How can I efficiently scrape websites to prepare data for large language models?
    you: not recommended
    AI recommended (in order):
    1. Scrapy (scrapy/scrapy)
    2. Beautiful Soup 4 (BS4) (crummy/BeautifulSoup)
    3. Requests (psf/requests)
    4. Playwright (microsoft/playwright)
    5. Puppeteer (puppeteer/puppeteer)
    6. Selenium WebDriver (SeleniumHQ/selenium)
    7. Apify
    8. Trafilatura (adbar/trafilatura)
    9. Newspaper3k (codelucas/newspaper)

    AI recommended 9 alternatives but never named any4ai/AnyCrawl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a fast web scraper to extract structured search engine results with multi-threading.
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Playwright
    3. Puppeteer
    4. Beautiful Soup 4
    5. Requests
    6. concurrent.futures
    7. Goose3
    8. Selenium WebDriver

    AI recommended 8 alternatives but never named any4ai/AnyCrawl. 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 any4ai/AnyCrawl?
    pass
    AI named any4ai/AnyCrawl explicitly

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

  • If a team adopts any4ai/AnyCrawl in production, what risks or prerequisites should they evaluate first?
    pass
    AI named any4ai/AnyCrawl 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 any4ai/AnyCrawl solve, and who is the primary audience?
    pass
    AI named any4ai/AnyCrawl explicitly

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite