The AI-readiness basics every site should have — what llms.txt and schema are, and how to add them without a developer.
yoursite.com/llms.txt that points AI crawlers to your most important pages in plain language. Schema markup (structured data) is code you add to your pages that labels what each thing is — a business, an article, an FAQ, a product. Together they make your site easier for AI engines to read, understand and cite.llms.txt is a proposed standard — a single Markdown file at the root of your site (/llms.txt) that lists your most important pages with a one-line description of each, so AI crawlers can find and understand your best content quickly. Think of it as a curated table of contents written for language models. It complements, rather than replaces, your robots.txt and XML sitemap.
It’s plain Markdown — a title, a short summary, then grouped links:
# Ralf
> The AI-first SEO platform — track your visibility across AI
> engines, fix technical SEO, and earn citations.
## Guides
- [What is AEO?](https://ralfhq.com/blog/what-is-aeo): Answer Engine Optimization, explained.
- [Get cited by ChatGPT](https://ralfhq.com/blog/get-cited-by-chatgpt): The step-by-step playbook.
## Product
- [Search](https://ralfhq.com/search): AI visibility + technical SEO.
- [Pricing](https://ralfhq.com/pricing): Plans from $49/mo.Schema markup is code — usually JSON-LD — that you add to a page to label its content using the shared vocabulary at schema.org. It tells engines “this is an article, published on this date, by this organisation” or “this is an FAQ, and here are the questions and answers.” Humans see a normal page; machines get an unambiguous description.
| Schema type | What it labels |
|---|---|
| Organization / LocalBusiness | Who you are — name, logo, location, contact |
| Article / BlogPosting | Content pages, with author and date |
| FAQPage | Question-and-answer content (great for AEO) |
| Product | Products, with price and availability |
| BreadcrumbList | Where a page sits in your site structure |
This very page uses Article, FAQPage and BreadcrumbList schema.
Ralf shows you exactly where ChatGPT, Perplexity and Google AI cite you — and fixes what’s holding you back.