How to Make Your Site Readable by LLMs

To make websites readable by large language models (LLMs), publishers should deploy JSON-LD structured data via Schema.org and an llms.txt file at the site root, according to a technical guide. JSON-LD types such as FAQPage, Article, and HowTo directly feed facts to AI without relying on CSS layout, while llms.txt provides a curated Markdown map of important pages for model retrieval. The guide emphasizes that LLM retrieval is on-demand and that failing to parse content in real-time loses the interaction.

How to Make Your Site Readable by LLMs The core difference here is that traditional SEO is about indexing; LLM retrieval is often on-demand. If a model fetches your page in real-time and can't parse the meat of the content immediately, you've lost that interaction. There is no "crawl budget" to save you. 1. High-Leverage Structured Data JSON-LD via Schema.org is the most reliable way to feed facts directly to an AI without forcing it to guess based on your CSS layout. To improve your visibility in AI-generated answers, prioritize these specific types: Article: Essential for establishing authorship and date modified. FAQPage: This is a goldmine for AEO Answer Engine Optimization because it maps directly to the Q&A format these models use. HowTo/Product: Critical for technical or e-commerce sites. Here is a practical example of an FAQPage implementation: { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": { "@type": "Question", "name": "Does Perplexity cite websites in its answers?", "acceptedAnswer": { "@type": "Answer", "text": "Yes, Perplexity typically cites the sources it retrieves from directly in its response." } } } 2. Deploying an llms.txt File The emerging standard for LLM accessibility is the llms.txt file. Think of it as a robots.txt but specifically designed for models. It lives at your root /llms.txt and provides a curated, Markdown-formatted map of your most important pages. The goal is to provide a clean entry point so the model doesn't have to guess which pages are actually useful. Your Company Name One-sentence description of what you do, written the way you'd pitch it in a boardroom. Docs - Getting Started https://yourdomain.com/docs/getting-started : Setup and installation - API Reference https://yourdomain.com/docs/api : Full endpoint documentation Blog - How AI Search Engines Retrieve Content https://yourdomain.com/blog/ai-search-retrieval : Technical breakdown of ChatGPT, Gemini, and Perplexity retrieval Optional - Changelog https://yourdomain.com/changelog : Recent updates When shipping this, keep the H1 as the very first line and avoid listing every single URL. A curated list is far more effective for a model's context window than a raw sitemap. This is a simple, beginner-friendly deployment that significantly lowers the friction for AI agents trying to understand your site's architecture. Next MoE Capacity Factor: Why Your Tokens are Being Dropped → /en/threads/3339/