JSON-LD Schema Generator for Articles & Products

Structured data tells search engines exactly what a page is about in a machine readable format, an article's author and publish date, a product's price and availability, a list of frequently asked questions, rather than making a search engine guess from the visible page content alone. Writing it by hand means tracking exact property names, correct nesting, and which fields a specific schema type actually expects, easy to get subtly wrong. This tool generates valid JSON-LD for five of the most commonly needed schema types through a straightforward form, so the structure and property names are handled correctly for you.

What JSON-LD actually is, and why Google prefers it

JSON-LD, JSON for Linking Data, is one of several ways to add structured data to a page, but it's the format Google explicitly recommends over the alternatives, Microdata and RDFa, which require embedding attributes directly inside visible HTML tags. JSON-LD instead lives in a single, self-contained script tag, typically placed in the page's head, completely separate from the visible markup. This separation means structured data can be added, updated, or removed without touching the actual content or layout of the page at all, which is exactly why it has become the standard approach for adding schema markup to a modern site.

Five schema types, each solving a different visibility goal

Article schema helps a blog post or news piece qualify for enhanced treatment in search results and Google's Top Stories carousel, built around headline, author, and publish date fields. Product schema is what enables rich product results, star ratings, price, and availability displayed directly in search results before a user even clicks through. FAQPage schema can make a page's questions and answers appear as an expandable list directly within the search result itself, taking up meaningfully more visual space on the results page. Organization schema helps establish a brand's identity and official properties across Google's Knowledge panel and related features. BreadcrumbList schema replaces a raw URL in search results with a clean, readable navigation path, Home > Blog > Article Title, instead of a technical-looking path.

Why exact property names and nesting genuinely matter

Schema.org's vocabulary is precise about both property names and structure, an Article's publisher needs to be nested as its own Organization object with its own logo as a further nested ImageObject, not a flat string, and a Product's price and availability live inside a nested Offer object, not as top-level Product properties. Getting this nesting wrong doesn't necessarily throw an error, it can simply mean the structured data quietly fails to qualify for the rich result it was meant to enable, without any obvious signal that something is wrong. This tool builds the correct nested structure automatically based on the fields you fill in, so the output matches schema.org's actual expected shape for each type.

Valid schema is a requirement, not a guarantee

Correctly formed, valid schema markup is a necessary prerequisite for rich result eligibility, but it does not guarantee that a specific rich result will actually display, search engines apply their own additional quality signals, content guidelines, and discretion on top of technically valid markup before deciding to show an enhanced result. Think of correct structured data as clearing the entry requirement, not as a direct ranking or display guarantee on its own.

Runs entirely in your browser

Building the JSON-LD structure happens entirely in your browser as you fill in the form, nothing you enter is sent to a server. Once generated, our Schema Markup Validator is a useful next step to double check the output against schema.org's full requirements before it ships to production, part of the same Technical SEO Tools collection this tool belongs to.