Structured data (schema markup)

last updated

May 15, 2026

category

reading time

2 min

Table of contents

    Definition

    Structured data is code added to a webpage that explicitly labels its content so search engines and AI systems can understand and use it more accurately.

    What is structured data (schema markup) and why does it matter for AEO?

    Structured data is code added to a webpage - typically in JSON-LD format - that explicitly tells search engines and AI tools what the page's content means, not just what it says. Schema markup is the vocabulary used to write that code. A blog post about Webflow migration costs is text. The same post with structured data tells Google: this is an Article, written by this Author, published on this date, answering a Question with this Answer.

    That explicit labelling makes the content easier to index, easier to extract, and more likely to surface in AI-generated responses.In Webflow, structured data is added via custom code embeds - either in the page  or using Webflow's custom code fields.

    The most relevant schema types for B2B content sites are: Article, FAQPage, HowTo, BreadcrumbList, and Organization. FAQPage schema in particular has a strong track record of driving AI citations because it maps directly to the question-and-answer format AI tools prefer.

    Go deeper: Webflow Technical AEO: how to structure your site for AI search

    Frequently Asked Questions

    How do I add structured data to a Webflow site?

    In Webflow, structured data is added as JSON-LD in a custom code embed, typically placed in the section via Project Settings > Custom Code for site-wide schema (like Organization), or on individual pages via the page settings custom code field. For CMS-driven content like blog posts, you can use Webflow's CMS field references inside the JSON-LD to populate values dynamically - author name, publication date, and article title can all pull from CMS fields rather than being hardcoded. Validate the output using Google's Rich Results Test before publishing.

    Does structured data directly improve Google rankings?

    Structured data is not a direct ranking factor - Google has confirmed this. Its value is in eligibility for rich results (FAQ dropdowns, how-to steps, article bylines in search results) and in making content more extractable for AI tools and AI Overviews. The indirect ranking benefit comes from the improved click-through rates that rich results typically generate, and from the clearer entity signals that help Google understand what a page is about.

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