Schema Markup (Structured Data)

Last updated 2026-06-13

What it is

"Schema" comes from Schema.org, a shared vocabulary created by Google, Microsoft, Yahoo and Yandex. Schema markup uses that vocabulary to label the parts of a page in a machine-readable way. A human reading your page already knows that "USD 49" is a price and "Open 9am–5pm" is your opening hours — schema makes those facts explicit for software too.

Today the standard way to add it is JSON-LD: a small block of structured data placed in the page's HTML, separate from the visible text. (Older formats called Microdata and RDFa exist, but JSON-LD is what Google recommends.)

Common schema types

Schema.org defines hundreds of types, but a handful cover most real-world pages:

• Article / BlogPosting — for blog posts and news, marking the headline, author, and publish date.
• Product — price, availability, brand, and reviews for an e-commerce item.
• FAQPage — a list of questions and answers (this page uses it).
• LocalBusiness — name, address, phone, hours and area served for a physical business.
• Organization and BreadcrumbList — sitewide identity and navigation context.

The correct type is whatever genuinely describes the page. Marking up content that isn't really there (fake reviews, hidden FAQs) violates Google's guidelines and can trigger a manual penalty.

Why it matters for SEO and AEO

Schema markup is not a direct ranking factor — adding it won't push you up the results by itself. What it does is help engines interpret your page accurately, which unlocks two things. First, rich results in Google: star ratings, FAQ drop-downs, prices, and breadcrumb trails that make your listing larger and more clickable. Second, and increasingly important, Answer Engine Optimization (AEO): AI assistants and answer engines lean on structured data to pull clean, reliable facts when they generate responses.

In short, schema doesn't change what you say — it removes ambiguity about what you mean, so both classic search and AI search can quote you with confidence. For more on this shift, see our guide to optimizing for AI search and answer engines.

In practice

Implementing schema is usually a technical SEO task: choose the right type, generate valid JSON-LD, and confirm the marked-up values match the visible content exactly. Google's Rich Results Test and the Schema.org validator will flag errors before they go live. The rule of thumb is simple — every fact in your structured data should also be visible to a human on the page.

Frequently asked questions

Does schema markup improve Google rankings?

Schema markup is not a direct ranking factor, but it helps search engines understand your content and makes your pages eligible for rich results, which can lift visibility and click-through rate.

What format does schema markup use?

Google recommends JSON-LD, a small block of structured data placed in the page's HTML. Older formats like Microdata and RDFa also exist, but JSON-LD is the modern standard.

Which schema types are most common?

The most widely used types are Article, Product, FAQPage, LocalBusiness, Organization, BreadcrumbList, and Review. The right type depends on what the page is actually about.

How Apex Marketings uses this

We build schema into every page we optimize as part of our SEO services and local SEO work, so your content is ready for both Google rich results and AI answer engines. Get a free consultation to see how it applies to your site.