Part 3 of 7 · The Beginner’s Guide to Entity Engineering
Structured data is how you tell machines who you are in their own language, instead of hoping they guess. It is a small block of labeled facts, written in a vocabulary called schema.org and embedded in your pages. This chapter shows what schema is, what it looks like, why one line called sameAs matters most, and how to check yours in seconds. You will not need to write code to follow along. You will finish knowing what to look for and how to confirm it works.
What is structured data, and why does it matter for entities?
Structured data is machine-language markup, written as JSON-LD in the schema.org vocabulary, that states in a form machines parse directly what your site and the people behind it are. A normal web page is written for human eyes. Structured data adds a hidden layer written for machines. It labels your facts: this is the organization, this is its name, this is who runs it, these are its other profiles.
It matters because machines should not have to guess. Left to infer, a machine can read your page and still get your name, your location, or your ownership wrong. Structured data removes the guesswork. It turns loose text into declared facts a machine can lift directly, which is exactly what it needs to resolve you to the right entity.
What does schema actually look like?
Schema is a small block of labeled facts embedded in your page, and here is a short, illustrative example. This is a read-only demonstration, not a template to copy. It shows the shape, so the idea stops feeling abstract.
{
"@type": "Organization",
"name": "Rivera Dental",
"url": "https://riveradental.example",
"sameAs": ["https://www.linkedin.com/company/rivera-dental"]
}Read it line by line. @type says what kind of thing this is: an organization. name gives its exact name. url points to its home base. sameAs lists another profile that is the same entity. That is the whole idea: labeled facts, one per line, in a form a machine reads without guessing. Real pages use more properties, and each type — organization, person, and the specialized ones — has its own complete, ready-to-use template. Those production templates are in the book; here, the point is simply to see the shape.
What is sameAs, and why is it the most important line?
sameAs is the line that lists your other profiles, and it matters most because it tells a machine that all those accounts are the same entity as you. Your website, your LinkedIn, your Google Business Profile, your industry directory listing: to a machine, those can look like four separate things. sameAs is the thread that ties them into one.
Without that thread, your presence stays scattered, and scattered presence never adds up to a strong entity. With it, everything you have built in different places folds into a single record the machine can trust. That is why, of all the lines in your schema, sameAs is the one to get right first. List every profile you actually maintain, and make sure each link resolves.
How do I check my markup is working?
You check it by pasting your page URL into Google’s Rich Results Test or the Schema Markup Validator, both free, which read your page the way a machine does and report what they found. The Schema Markup Validator is the better first stop, because it shows every type on the page, not just the ones eligible for a search feature.
Read the result plainly. If the validator lists your Organization or Person with the right details, your markup is being seen. If it finds nothing, your schema is missing or not rendering, and that is the problem to fix. If it flags errors, fix those before anything else, because a broken block can be ignored entirely. Run this check whenever you change your site, and you will catch a silent break before a machine does.
Source: this chapter adapts Part III of Entity Engineering by Kim Harris. Written by the team at Quantum Quill Digital. Last updated: September 2026.
Guide navigation: Previous: Where Machines Look You Up · The Beginner’s Guide (hub) · Next: Earning Trust
Quantum Quill Digital helps personal brands, academics, SMBs and marketing teams build entity-first visibility across search and AI. Authority, Engineered.