Data comes in many forms. Trying to wrap your head around how it’s organized, or not, is critical for both users and search engines. Here we’ll learn the difference between unstructured data, like raw text, structured data, like spreadsheets, and schema markup, special code that helps search engines understand your content. Knowing when and how to use each makes your data more useful, searchable, and discoverable.
Contents
- What is structured data?
- What is unstructured data?
- What is schema markup?
- Why schema markup in 2025?
- Summary
- FAQ
- References
What is structured data?
Structured data is data that fits neatly into data tables and includes discrete data types. E.g. numbers, short text, dates
What is unstructured data?
Unstructured data is data that doesn’t fit neatly into a data table because of size or nature of the data. E.g. audio, video files, large text documents
What is schema markup?
Schema markup is also known as structured data. Schema markup is the language search engines use to understand the data on your webpages. (language = code). The language is used to characterize and categorize the content on the web pages for the search engine.
Schema markup is code in the form of structured data that tells the search engine the meaning of components or elements of your pae and how a visitor should/will see it.
e.g. recipes, reviews, faq sections, definitions
Why schema markup in 2025?
Why is schema so important in 2025? It is a way of communicating with large language models, LLM, what your content represents. And AI search engines are based on LLMs. When you’re creating content it’s not just for the human reading it, you also have to consider the machine reading it too. Before the main machine was a “traditional” search engine like Google. With the surge in AI technology and there are more and more AI search engines and we need to be able to communicate with them. Adding in schema markupn where possible to your content, will help communicate what your content is about to AI search engines making your content more discoverable.
Summary
Unstructured data, like blog text or user comments, is rich in meaning but hard to process automatically. Structured data organizes information in clear fields, making it easy to sort, analyze, and display. Schema markup adds another layer by communicating directly with search engines and enabling enhanced search features (rich results). Using all three intentionally helps you manage, interpret, and surface data in ways that benefit both humans and machines.
FAQ
Yes. Unstructured content forms the heart of your message, structured data powers internal organization and reporting, and schema markup boosts discoverability and SEO.
Start with common types like articles, local businesses, products, or FAQs. You can generate JSON-LD via tools (like Google’s Structured Data Markup Helper), then place it in your page’s header or footer.
