AI Website Check

An AI that walks through a small-business website like a customer, and has to prove every claim with a quote.

Live demo: https://galini-studio.de/ki-check/ (German) · https://galini-studio.de/pl/sprawdz-strone/ (Polish)

A customer who wants something done (book a car service, get a roof fixed) goes through a website in a typical order. Can I find you on Google? Can I read the page on my phone? What do you do, and what does it cost? When can I reach someone, and can I tap the number? Where are you? Can I trust you? Can I send an inquiry?

AI Website Check (on the site: "KI-Check", KI is German for AI) goes through these nine stations and shows where a customer gets stuck. It runs in under a minute and gives a report as a page and as a PDF. It was built for small businesses in Germany as a free tool on the website of a small web studio. Reports come in English, German or Polish, from the command line or as a tool for AI assistants (MCP).

The rule that matters: no quote, no claim

Language models are good at reading a messy small-business site and noticing what a person would notice. They are also good at sounding sure about things that are not there. So the check splits the work:

1. Collect, without AI (src/sammeln.ts). It reads the start page and up to six sub-pages (contact, prices, booking, hours, services, legal notice) the way many AI assistants see them: the HTML, without JavaScript. It extracts hard facts: tappable tel: links, WhatsApp, forms (with field counts), booking services, opening hours, prices, address, schema.org data, robots.txt, broken links and leftover template text.

2. Read like a customer, with AI (src/kunde.ts). Claude gets the collected text and answers seven customer questions with structured output. Each answer must quote the site verbatim. The server checks every quote against the material (zitatBelegt). An answer without a verified quote does not count.

3. Decide (src/bewerten.ts). Rules first, then the verified AI answers. Where the HTML is certain (a form, a booking link, a tappable number), the rule has the last word. "I did not find it", never "it is missing": the check only reads the HTML and can overlook things.

The result (src/bericht.ts) holds only what the report shows: no raw signals, no prompt material.

Related MCP server: Agundur GEO Scanner

Does it work?

Tested on 13 sites before launch, every result checked by hand (docs/EVALUATION.md):

• The rules alone were right in 62 of 65 cases. The three misses were fixed or left to the AI.

• Two rounds with the AI on all sites: no invented quote got through. The one quote that was not verbatim was rejected by the server.

• About 7,700 tokens in and 1,200 out per site, a few cents per check.

Careful by design

• Reads, never submits. No forms, no bookings, no inquiries.

• Follows robots.txt (RFC 9309, with * and $). Pages blocked for the check or for all bots are not read; if the start page is blocked, there is no report. If the file blocks AI assistants that read on a user's behalf (ChatGPT-User, Claude-User, Perplexity), the report is made without AI. Only explicit rules count: no robots.txt means the check reads like a browser.

• Only public servers (no private or local addresses, checked after every redirect), at most 4 redirects, 8 seconds and 3 MB per page, a fixed time budget for the whole check.

• Honest about gaps. If a page does not load, the report says so instead of claiming something is missing. Connection problems that could be on our side are never reported as the site's fault.

Try it

Needs Node.js 22 or newer.

npm install
npx tsx src/cli.ts example.com                 # report in English
npx tsx src/cli.ts example.com --lang de       # German (or pl for Polish)
npx tsx src/cli.ts example.com --no-ai --json report.json
npm test                                       # tests, no network needed

Without ANTHROPIC_API_KEY the check runs with the fixed rules only (free). With a key it adds the AI part (a few cents per check). Please set KI_CHECK_KENNUNG to a user agent with your contact (see .env.example), so site owners know who is reading. Only check sites you own or have a good reason to check.

An example run (rules only) on the author's own site: English, German.

Use it from Claude (MCP)

The check also runs as an MCP server with one tool, check_website (url, language, use_ai). Then you can ask Claude Desktop, Claude Code or any other MCP client: "Check example.com like a customer would." The tool returns the report as text and as structured data. It is marked read-only.

After npm install, add it to Claude Code (use your own path):

claude mcp add ai-website-check -- node /path/to/ai-website-check/node_modules/tsx/dist/cli.mjs /path/to/ai-website-check/src/mcp.ts

Or to Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "ai-website-check": {
      "command": "node",
      "args": [
        "C:/path/to/ai-website-check/node_modules/tsx/dist/cli.mjs",
        "C:/path/to/ai-website-check/src/mcp.ts"
      ],
      "env": { "ANTHROPIC_API_KEY": "optional, for the AI part" }
    }
  }
}

Without a key the tool still works with the fixed rules. With a key, the customer reading by Claude comes on top, with the same quote check as everywhere else.

Files

The code and its comments are in German, the reports can be in English, German or Polish. The comments keep notes from testing ("Testlauf 09.10.2026: …"), so you can see why a rule is the way it is.

About

Made by Dorota Mikolajczyk, Galini Studio, Lohne, Germany. I build websites and automations for small businesses, in German and Polish. KI-Check is my free door-opener: a business owner sees where customers get stuck, and I can help fix it. Built with Claude Code.

License

PolyForm Noncommercial 1.0.0: read it, run it, learn from it, but not for commercial use. Ask me if you want to use it commercially.

Required Notice: Copyright 2026 Dorota Mikolajczyk, Galini Studio (https://galini-studio.de)