Structured data for AI
Models parse your markup, not your design. Structured data tells a machine exactly what your content means, so it can trust you, quote you correctly, and connect you to the right entity. This is the unglamorous foundation under everything else.
Why it matters more now
Ambiguity is what gets you skipped
A model reading raw HTML has to infer what everything means. Is that number a price, a rating, or a phone number? Is that name the author or a quoted source? Every inference is a chance to get it wrong. Structured data removes the guessing by labeling your facts in a format built for machines.
In classic search, schema was a nice-to-have that earned you rich snippets. In AI search, it is closer to a requirement, because a model deciding whether to cite you is weighing how confident it can be in what you mean. Clear markup raises that confidence. It is the base layer of agent legibility, beneath llms.txt and the action protocols.
Priorities
The schema types that earn their keep
| Type | What it declares | Best for |
|---|---|---|
Organization | Who you are, plus sameAs links to your profiles | Every site, as the entity anchor |
Product / Offer | Items, prices, availability | Ecommerce |
Service | What you do and where | Service businesses |
FAQPage / HowTo | Questions, answers, and steps | Guidance content and AEO |
Review / AggregateRating | Proof and reputation | Products and services |
SpeakableSpecification | The parts best read aloud | Voice and assistant answers |
Grab copy-paste versions of these from our free schema templates. The point is not to mark up everything, it is to mark up the facts you want machines to repeat.
The deeper layer
Entities, sameAs, and the knowledge graph
Beneath the markup is a bigger idea. Search and AI systems do not think in keywords, they think in entities: real things with names, attributes, and relationships, stored in a knowledge graph. Your job is to make your entity unmistakable. That means an Organization schema with sameAs links to every profile you control, consistent naming everywhere, and facts that match across your site and the wider web.
When you do this well, a machine stops guessing whether the WebPossible on your site is the WebPossible on LinkedIn is the WebPossible mentioned in an article. It knows. That certainty is the quiet thing that decides citations. We go deeper in entities and the knowledge graph and rich results.