Structured data for AI answers

Three layers of machine-readable signal

Answer engines read your site at three levels: the visible copy, the structured data that labels it, and the site-level files that describe how to crawl it. Most sites over-invest in visible copy and ship almost nothing on the other two layers — which means machines are left guessing about facts you could simply have declared.

The schema types that earn their keep

• Organization — establishes who you are, your logo, and your official links. The backbone of entity identity.
• SoftwareApplication or Product — declares what you sell, the category, and the price, in a format engines parse rather than infer.
• FAQPage — pairs real questions with quotable answers; the closest thing to handing an assistant its response.
• Article with author and dates on guides — freshness and provenance signals for content that competes on expertise.
• One rule above all: structured data must match the visible page. Declaring things users can't see is a trust liability, not a shortcut.

llms.txt: useful, but know what it is

llms.txt is an emerging convention — a plain-text index at your site root that points language models at your most useful pages, the way robots.txt points crawlers. It costs minutes to add and some AI crawlers read it, but adoption is uneven and no major provider guarantees it affects answers today.

Treat it as cheap insurance rather than a strategy: ship one if you like, but never instead of the fundamentals. A site with clean schema, server-rendered content, and real pages beats a site with a perfect llms.txt and none of those, every time.

Write copy that can be quoted

The highest-leverage "structured" signal is still a sentence: one line near the top of the page that says what you do, for whom, at what price. Answer engines lift these lines directly into responses. If your homepage leads with a metaphor and three adjectives, there is nothing to lift.

A free Robot Visible scan checks all three layers on your live URL — schema presence and validity, crawlability, and whether your copy gives an answer engine anything concrete to work with.