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@agent-seo/core

v1.0.2

Published

Core HTML-to-Markdown transformation engine for AI-readable websites

Downloads

385

Readme

@agent-seo/core

Framework-agnostic HTML-to-Markdown transformation engine for AI-readable websites.

Install

npm install @agent-seo/core

What It Does

  • Detects 19 AI bots via User-Agent (GPTBot, ClaudeBot, PerplexityBot, etc.)
  • Transforms HTML to Markdown — Readability extracts content, Turndown converts to clean Markdown
  • YAML frontmatter — title, description, URL, lang, last-modified
  • JSON-LD extraction — structured data from <script type="application/ld+json">
  • Generates /llms.txt — auto-discovers routes following the llmstxt.org spec
  • LRU cache — in-memory caching of transformed results

Usage

Transform HTML to Markdown

import { transform } from '@agent-seo/core';

const result = await transform('<html>...</html>', {
  url: 'https://example.com/about',
});

console.log(result.markdown);
// ---
// title: "About Us"
// description: "Learn more about our company"
// url: "https://example.com/about"
// ---
// # About Us
// ...

Detect AI Bots

import { detectAgent, shouldServeMarkdown } from '@agent-seo/core';

const ctx = detectAgent(request.headers.get('user-agent'));
if (ctx.isAIBot) {
  console.log(ctx.bot.name);     // 'GPTBot'
  console.log(ctx.bot.operator); // 'OpenAI'
  console.log(ctx.bot.purpose);  // 'training'
}

// Or simply:
if (shouldServeMarkdown(userAgent, acceptHeader)) {
  // serve markdown
}

Generate llms.txt

import { generateLlmsTxt, discoverNextRoutes } from '@agent-seo/core';

const routes = discoverNextRoutes('/path/to/app');
const result = generateLlmsTxt({
  siteName: 'My App',
  siteDescription: 'A brief description for AI systems.',
  baseUrl: 'https://myapp.com',
}, routes);

console.log(result.llmsTxt);

Edge Runtime

For edge/Cloudflare Workers (no JSDOM), use the lightweight edge export:

import { detectAgent, shouldServeMarkdown } from '@agent-seo/core/edge';

Framework Adapters

Use the framework-specific packages for zero-config integration:

License

MIT