---
language: en
title: "Structured data"
description: "Structured data describes information in an explicit format for machines. Learn how it is used on pages, how it relates to Schema.org, and what to validate before publishing."
canonical: "https://tropk.ai/en/resources/glossary/structured-data"
last_modified: "2026-10-12T16:14:58.254Z"
---

# Structured data

Reviewed on 2026-10-06.

## What it means

Structured data is information organized in an explicit format, with defined fields and relationships. On web pages, it helps describe content in a machine-readable representation, for example, indicating that a text is an article and who its author is. The vocabulary and format need to be identified so the meaning can be interpreted.

## Why it matters for marketing

For marketing and [SEO](/en/resources/glossary/seo), this representation helps keep editorial and product information consistent. In supported Google features, valid markup may contribute to eligibility for special presentations. This does not guarantee display. It also does not replace visible content, technical accessibility, evidence, or a useful description for page visitors.

## Example in practice

A page presents an article with a title, author, and date. The [JSON-LD](/en/resources/glossary/json-ld) describes those same facts using an appropriate type. If the markup names a different author, invents a review, or lists a price that does not appear in the offer, there is an inconsistency. The problem is not resolved just because the syntax passes a validator.

## How to apply or check

Choose the type that matches the published content and check the requirements for the intended feature. Validate the syntax, fields, and consistency with the page. Also test the [HTML](/en/resources/glossary/html-the-web-s-markup-language) actually served, since the implementation may differ from the CMS record. Assign someone to update the markup when prices, authorship, or availability change.

## Important distinctions

Structured data is not synonymous with [Schema.org](/en/resources/glossary/schema-org): Schema.org is a widely used vocabulary for describing it. JSON-LD is a serialization format, not a guarantee of quality. Google says it does not require special schema for its generative experiences. Promising [AI citations](/en/resources/glossary/ai-citation) solely because markup was installed goes beyond what the implementation and official sources demonstrate.

## Sources and references

- [Introduction to structured data markup in Google Search](<https://developers.google.com/search/docs/appearance/structured-data/intro-structured-data>) — Google Search Central
- [Optimizing your website for generative AI features on Google Search](<https://developers.google.com/search/docs/fundamentals/ai-optimization-guide>) — Google Search Central

## Continue a leitura

- [Entity](</en/resources/glossary/entity>)
- [JSON-LD](</en/resources/glossary/json-ld>)
- [Schema.org](</en/resources/glossary/schema-org>)

## About the author

[Vinicius Pacheco](</en/team/vinicius-pacheco>)

Responsible for Tropk’s technical content, focusing on crawling, indexing, structured data, and agent access to content.

---

[All pages in Markdown](<https://tropk.ai/sitemap.md>)