Website LLMs.txt vs Umay AI Markdown

Modern AI agents (ChatGPT, Claude, Perplexity, Gemini, etc.) work much better with Markdown than HTML. Umay AI Markdown inspects the incoming Accept header and, only when text/markdown is requested, intercepts the response and serves a clean, agent-friendly Markdown representation of the page. Browsers, search engines, and any client that does not explicitly ask for Markdown receive the unchanged HTML response. There is no settings page, no cron job, and no external service call. Key features Zero configuration — install, activate, done. Only triggers when Accept: text/markdown is present. Regular visitors and search engines are never affected. Hybrid content extraction: uses the_content for posts/pages, falls back to a DOM-based extractor for archives, taxonomies, and the homepage. Powered by the industry-standard league/html-to-markdown library. Transient-cached for 12 hours per URL (sha256-keyed). Auto-invalidated on save_post, term edits, theme switches, and menu updates. Built-in IP rate limiter (30 requests / minute by default) to mitigate abuse. Strict input sanitization, header injection protection, libxml entity hardening (XXE-safe), and full WordPress Coding Standards compliance. PSR-4 autoloaded, namespaced OOP code. No globals. Sends Vary: Accept, X-Robots-Tag: noindex, and X-Content-Type-Options: nosniff on every Markdown response. What gets sent to AI agents Each Markdown response includes a YAML front-matter block with the page title, site name, canonical URL, and ISO-8601 generation timestamp, followed by the page body converted to Markdown. Navigation, footer, sidebars, scripts, styles, comment forms, related posts, and other page chrome are stripped before conversion. Filters Two filters are available for advanced customization: umay_mdn_bypass — Return true to skip Markdown handling for the current request. umay_mdn_cache_ttl — Override the default 12-hour cache lifetime (in seconds, minimum 60). umay_mdn_rate_limit — Override the default 30-requests-per-minute rate limit. umay_mdn_converter_options — Modify the league/html-to-markdown converter options array.

Website LLMs.txt generates and manages an llms.txt file, a structured, AI-ready index that helps large language models like ChatGPT, Claude, and Perplexity understand your site’s most important content. How llms.txt works Traditional sitemaps and robots files guide search engines. But as AI-driven systems such as ChatGPT, Claude, and Perplexity increasingly ingest web content, they benefit from a clear, structured list of a site’s most important URLs. llms.txt offers that: a plain-text or Markdown list of essential public URLs, optionally annotated with titles, descriptions, and grouping, designed for AI consumption rather than general web crawling. Key benefits ✅ AI discovery readiness: future-proof your site for AI indexing and content retrieval. ✅ Fully automatic: the plugin builds and updates your llms.txt file on its own schedule. ✅ SEO plugin integration: works seamlessly with Yoast SEO, Rank Math, SEOPress, and AIOSEO, automatically excluding content marked as noindex or nofollow. ✅ Advanced controls: choose post types, customize file titles or descriptions, attach optional Markdown files, and trigger manual regeneration. ✅ Developer-friendly: includes filters such as llms_generator_get_post_meta_description for description logic, performance tuning, and custom indexing behavior. ✅ WooCommerce & multisite ready: respects product visibility rules and scales easily across large or networked sites. Activation & setup Activate the plugin. Visit Settings → LLMs.txt to configure post types and update frequency (immediate, daily, or weekly). The plugin generates llms.txt (and optionally llms-full.txt) and serves it from your site root. Content updates trigger automatic regeneration. All noindex/nofollow rules from your SEO plugin are respected. Use cases for llms.txt Publishers, SaaS companies, developers, and documentation sites that want to make their content easier for AI systems to interpret. SEO-driven websites testing AI engine optimization tactics. Agencies and site owners preparing for the next phase of AI search and retrieval. The llms.txt experiment & further reading Are AI bots actually reading llms.txt files? Everything we know about llms.txt