Schema / JSON-LD Markup Generator

Schema / JSON-LD Markup Generator: Build FAQ, Article & HowTo Structured Data Free, Right in Your Browser

Structured data, written as JSON-LD and following the vocabulary at schema.org, is what tells Google, Bing, and AI answer engines exactly what a piece of content is, not just what it says. Most people only hit this when a schema markup checker like Google's Rich Results Test flags a page as missing it, or when they go looking for a json-ld schema generator because hand-writing nested JSON by hand is slow and easy to get wrong. This tool is built for that moment: pick a schema type, fill in plain fields, and get back correct, parseable JSON-LD without touching a curly brace.

Every schema type here, FAQPage, Article, HowTo, Product, BreadcrumbList, and Review, is built from the real schema.org vocabulary those types require, not a simplified approximation. Required fields are enforced before you can generate anything, and the resulting JSON is run through an actual parse check so a broken script tag never reaches your clipboard.

1Why FAQ Schema Comes First

Ask ChatGPT, Perplexity, or Google's AI Overviews a direct question, and the answer they quote back usually traces to a page with clear question-and-answer structure. FAQPage schema makes that structure explicit to a machine instead of implicit in prose, which is why it's the single highest-leverage schema type for AI citation, and also why it's the default tab here rather than something you have to dig for. A faq schema test against your own page, whether that's a browser extension or a manual check in Google's Rich Results Test, is only meaningful once the markup exists, and that's what this tab builds: a set of question and answer pairs turned into a valid FAQPage object with one click.

2Article & HowTo: The Classic Rich-Result Pair

Article schema tells search engines the headline, author, and publish date behind a piece of content, which feeds into how it can appear in Google News, Discover, and standard article rich results. HowTo schema breaks a process into numbered steps that Google can render directly in search results as an expandable, step-by-step card. Both tabs here ask for only what each type actually requires: Article needs a headline, an author, and a publish date, with an image as an optional extra; HowTo needs a name and at least two real steps, since a "how to" with one step isn't a process worth marking up.

3Simple vs Pro

Simple Mode covers the three schema types most pages actually need. Pro Mode, currently free to use, is built for a page doing more than one job at once: a product page that also answers common questions, or a blog post with both an Article block and a breadcrumb trail, combined into a single @graph the way a developer would hand-code it.

4Common Reasons People Generate Schema Markup

None of these need a developer on standby. A content writer who knows their FAQ copy, an author who knows their own byline and publish date, or a store owner who knows a price and a rating can fill in plain fields and walk away with correct JSON-LD, instead of searching for a schema generator merkle users built templates around years ago and hoping the syntax still holds up.

5Combining Schema Into One @graph (Pro)

A real page often needs more than one schema type at once: an Article block for the post itself, a FAQPage block for the questions at the bottom, and a BreadcrumbList for where the page sits in the site. Hand-coding that means merging several JSON-LD objects under a single @graph array without breaking any of them. Pro Mode's Combine tab does this automatically: it checks whichever schema types you've already filled in across the other tabs, lets you pick which ones to include, and outputs one valid @context plus @graph block ready to drop into your page's <head>.

6Frequently Asked Questions