# How to Make Your Site Readable by LLMs

> Source: <https://promptcube3.com/en/threads/3352/>
> Published: 2026-07-25 20:01:12+00:00

# 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/)