Schema markup is code you add to your pages that tells search engines exactly what your content represents. A product page isn’t just text and images to Google; with the right structured data, it’s a product with a price, availability status, rating, and review count. That explicit labeling is what triggers rich results in search, feeds the Knowledge Graph, and increasingly shapes how AI systems understand and cite your content.
At Gorilla Marketing, we implement and audit structured data as part of our technical SEO work. Schema isn’t glamorous, but it’s one of the clearest lines you can draw between a technical change and a visible SERP improvement. This guide covers what structured data is, which formats to use, which schema types matter most by page type, how to test your implementation, and how to measure whether it’s actually working.
What Is Structured Data?
Structured data is a standardized format for providing information about a page and classifying its content. When you mark up a recipe page with structured data, you’re telling search engines: “This page contains a recipe. The cook time is 30 minutes. The rating is 4.7 out of 5.” Without that markup, a search engine has to infer all of that from unstructured HTML, and inference is unreliable.
The vocabulary behind most structured data on the web is Schema.org, a collaborative project launched in 2011 by Google, Bing, Yahoo, and Yandex. Schema.org defines hundreds of entity types (called “types”) and properties. You pick the type that matches your content, fill in the relevant properties, and embed the markup in your page’s code.
Structured data doesn’t guarantee a ranking boost. Google has been clear about that. What it does guarantee is eligibility. Without Product markup, your product page can’t show star ratings and pricing in search results. Without FAQ markup, your questions won’t expand in the SERP. Without Event markup, your event won’t appear in Google’s event listings. Eligibility is the prerequisite, and structured data is how you earn it.
What’s the Difference Between Schema Markup and Structured Data?
These terms get used interchangeably, but there’s a technical distinction worth knowing. Structured data is the broader concept: any organized data format that search engines can read. Schema markup specifically refers to structured data that uses the Schema.org vocabulary.
All schema markup is structured data. Not all structured data is schema markup. Open Graph tags (used by Facebook and other social platforms) are structured data, but they don’t use Schema.org types. Twitter Cards are structured data too. In practice, when SEOs say “structured data,” they almost always mean Schema.org markup. That’s what Google’s documentation covers, what rich results require, and what we’ll focus on here.
JSON-LD, Microdata, or RDFa: Which Format Should You Use?
Schema.org markup can be implemented in three formats. Each one delivers the same information to search engines; they differ in how and where the code lives on the page.
JSON-LD
JSON-LD (JavaScript Object Notation for Linked Data) is Google’s recommended format. The markup sits in a