RRepoGEO

REPOGEO REPORT · LITE

coleam00/mcp-crawl4ai-rag

Default branch main · commit a1c16f67 · scanned 6/28/2026, 9:47:58 AM

GitHub: 2,205 stars · 572 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 coleam00/mcp-crawl4ai-rag, 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
    Clarify 'MCP' in the README to avoid misinterpretation

    Why:

    CURRENT
    A powerful implementation of the Model Context Protocol (MCP) integrated with Crawl4AI and Supabase for providing AI agents and AI coding assistants with advanced web crawling and RAG capabilities.
    COPY-PASTE FIX
    A powerful implementation of the Model Context Protocol (MCP) for AI agents, integrated with Crawl4AI and Supabase for providing advanced web crawling and RAG capabilities to AI agents and AI coding assistants.
  • mediumreadme#2
    Reposition or rephrase the 'testbed' status in the README

    Why:

    CURRENT
    Consider this GitHub repository a testbed, hence why I haven't been super actively address issues and pull requests yet. I certainly will though as I bring this into Archon V2!
    COPY-PASTE FIX
    This repository serves as the foundational implementation for Archon V2's knowledge engine, actively evolving with planned enhancements for configurability and local execution. While currently a testbed for these advancements, active development and issue addressing will increase as it integrates into Archon V2.

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 coleam00/mcp-crawl4ai-rag
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Serper API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Serper API · recommended 1×
  2. Google Search API (via Google Cloud Programmable Search Engine) · recommended 1×
  3. Brave Search API · recommended 1×
  4. You.com API (YouChat/YouSearch) · recommended 1×
  5. Tavily API · recommended 1×
  • CATEGORY QUERY
    How to provide AI agents with real-time web knowledge for RAG capabilities?
    you: not recommended
    AI recommended (in order):
    1. Serper API
    2. Google Search API (via Google Cloud Programmable Search Engine)
    3. Brave Search API
    4. You.com API (YouChat/YouSearch)
    5. Tavily API
    6. Bing Web Search API
    7. ScrapingBee
    8. Bright Data (Web Scraper API)

    AI recommended 8 alternatives but never named coleam00/mcp-crawl4ai-rag. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help AI coding assistants scrape websites and store content for knowledge retrieval?
    you: not recommended
    AI recommended (in order):
    1. Beautiful Soup (BeautifulSoup/bs4)
    2. requests (psf/requests)
    3. httpx (encode/httpx)
    4. Scrapy (scrapy/scrapy)
    5. Playwright (microsoft/playwright)
    6. Selenium (SeleniumHQ/selenium)
    7. Cheerio (cheeriojs/cheerio)
    8. node-fetch (node-fetch/node-fetch)
    9. axios (axios/axios)
    10. Puppeteer (puppeteer/puppeteer)
    11. Apache Nutch (apache/nutch)
    12. Web Scraper (Chrome Extension)

    AI recommended 12 alternatives but never named coleam00/mcp-crawl4ai-rag. 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 coleam00/mcp-crawl4ai-rag?
    pass
    AI did not name coleam00/mcp-crawl4ai-rag — 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 coleam00/mcp-crawl4ai-rag in production, what risks or prerequisites should they evaluate first?
    pass
    AI named coleam00/mcp-crawl4ai-rag 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 coleam00/mcp-crawl4ai-rag solve, and who is the primary audience?
    pass
    AI did not name coleam00/mcp-crawl4ai-rag — 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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