Structured Data
Structured data is machine-readable markup that tells search and AI engines what your page means. Learn how it works and why AI answers depend on it.
TL;DR
Structured data is machine-readable markup added to a page that states explicitly what the content means: this string is a price, that one is an author, this block is a question and its answer. Without it, a machine reading your page sees text and has to infer meaning from context. The practice matters more now than it did five years ago, because search engines were the only consumers then and AI engines are the larger audience today.
Why structured data matters
Engines that assemble answers need to know what your facts are before they can repeat them, and markup removes the guesswork from that step.
- Fact clarity: Marked-up prices, dates and specifications are unambiguous, so engines are less likely to state them wrongly.
- Rich results: Eligibility for review stars, FAQ dropdowns and product panels in search comes directly from valid markup.
- Entity resolution: Markup connects your pages to known entities, which helps engines understand which company or product you are.
- Extraction accuracy: AI answers lift specific claims, and structured data makes the claim boundaries explicit rather than inferred.
How to implement structured data
Pick the pages that carry facts
Pricing, product, article and documentation pages state things worth marking up. A generic about page rarely does.
Choose the right type
Match the markup type to what the page actually is. An article marked as a product confuses engines rather than helping them.
Write it in JSON-LD
Both Google and the major AI crawlers handle JSON-LD cleanly, and it sits in a script tag without touching your visible HTML.
Mirror the visible content
Markup must describe what a person sees on the page. Marking up prices or reviews that do not appear is a policy violation and a trust problem.
Validate before shipping
Run every template through a structured data testing tool. One malformed property can invalidate an entire block.
Re-check after releases
Template changes break markup silently. Add validation to your deploy checks rather than discovering the problem a quarter later.
Structured data vs. schema markup
Structured data: The general practice of adding machine-readable meaning to a page. It describes the what and why.
Schema markup: The specific shared vocabulary, defined at schema.org, that most structured data uses. It describes the which words.
In everyday use the terms are treated as synonyms, and for most practical purposes that is harmless. The distinction matters when you are choosing between vocabularies or explaining to a developer that schema.org is one option rather than the only one.
Markup only helps if engines can reach the page and read it. Findrix runs a 31-point technical check covering structured data, crawler access and rendering, alongside weekly tracking of how seven AI engines cite you against named competitors. Every gap comes with the fix already written: technical, content and off-site. The audit is free, takes about a minute, and requires no signup.
Common structured data types
- Article: Headline, author, publish and modified dates. The default for editorial and blog content.
- Product: Name, price, availability and reviews. Drives shopping panels and product-comparison answers.
- FAQPage: Question and answer pairs, which map directly onto how AI engines phrase responses.
- Organization: Your company name, logo and sameAs links, which anchor your brand as a recognisable entity.
- BreadcrumbList: The page position in your site hierarchy, which helps engines understand structure.
Where structured data stops helping
Markup describes content; it does not create it. A page with perfect Product schema and no specific claims gives an engine an empty box with correct labels on it, and no engine will cite that over a competitor page with real numbers written in plain prose.
The second limit is scope. Structured data influences how machines interpret a page they have already fetched. If crawlers cannot reach the page, or JavaScript hides the content, markup changes nothing at all.
The practical order is access first, then substance, then markup. Teams that reverse it end up with immaculate validation reports and no citations.
Frequently asked questions
Is structured data a ranking factor?
Not directly in the way a link or content quality is. It affects eligibility for rich results and how confidently engines interpret your content, both of which change how your page performs. Google has been consistent that markup earns features rather than rankings.
Which structured data format should I use?
JSON-LD, unless you have a specific reason not to. Google recommends it, AI crawlers parse it reliably, and it lives in a script tag rather than being interwoven with your HTML, which makes it far easier to maintain.
Does structured data help with AI search?
It helps engines parse and attribute your content correctly, which supports citation. It does not guarantee it. Engines cite pages that answer questions with specific, verifiable claims, and markup makes those claims easier to read rather than more persuasive.