Build clean, Google-ready JSON-LD structured data for Article, FAQ, Product, Organization, Local Business, Breadcrumb and Website schemas. Fill in a few fields and copy a ready-to-paste <script> tag that helps you win rich results in search. Every block is validated as you type and built entirely in your browser, so the output is always syntactically correct and your data never leaves your device.
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article"
}
</script>Paste this snippet into the <head> of your page, then validate it with Google's Rich Results Test before publishing.
Why
Search engines read your page in two very different ways. Human visitors see headings, images and prose, but a crawler sees a wall of HTML it has to interpret. Structured data is the bridge between the two: a small, standardized block of code that explicitly tells Google, Bing and other engines what a page is about — that this string is an article headline, that number is a product price, this block is a list of frequently asked questions. When you label your content this way, search engines stop guessing and start understanding. That clarity is the foundation of every modern rich result, and it is the single most reliable way to communicate the meaning of your content rather than leaving it to be inferred from surrounding text and tags.
The payoff for getting structured data right is real estate on the search results page. Pages with valid markup can earn star ratings, FAQ accordions, breadcrumb trails, sitelink search boxes, price and availability badges, recipe cards, event details and other enhanced listings that take up more space and attract more attention than a plain blue link. Those rich results are not a direct ranking factor, but they dramatically improve click-through rate, and a higher CTR feeds back into how prominently your pages perform over time. For e-commerce stores, publishers and local businesses in particular, the difference between a bare result and a rich one can be the difference between being scrolled past and being clicked — often without any change to your underlying position.
JSON-LD is the format Google explicitly recommends, and it is what this generator produces. Unlike Microdata and RDFa — older approaches that scatter <code>itemprop</code> and <code>itemscope</code> attributes throughout your visible HTML and are painful to maintain — JSON-LD lives in a single self-contained <code><script></code> block, usually in the page <code><head></code>. Because it is decoupled from your markup, you can add, edit or remove it without touching your layout, your CSS or your component tree. There is no risk of an SEO change accidentally breaking how the page renders. The result is also far easier to read, diff in version control, template in a CMS and debug when something goes wrong, which matters enormously once you are maintaining structured data across hundreds of URLs.
Writing JSON-LD by hand is deceptively error-prone. A single trailing comma, an unescaped quotation mark, a mistyped property name like <code>datepublished</code> instead of <code>datePublished</code>, or the wrong nesting of an <code>author</code> or <code>offers</code> object will silently disqualify a page from rich results — often without any obvious warning in your day-to-day workflow. This generator removes that entire class of mistakes. It assembles the correct schema.org property names, wires up nested objects such as <code>Person</code>, <code>Organization</code>, <code>Offer</code> and <code>PostalAddress</code> for you, and automatically strips out every empty field so the emitted JSON is always syntactically valid. You spend your time on the content of the markup, not on chasing brackets.
Different page types need different vocabularies, and a good generator handles that switching for you. An article wants a headline, an author, publish and modified dates and a publisher; a product wants a price, currency, availability and an aggregate rating; a local business wants an address, phone number and opening hours; a website wants a sitelinks search box. This tool exposes the right fields for each schema.org type — Article, FAQPage, Product, Organization, LocalBusiness, BreadcrumbList and WebSite — so you are never guessing which properties Google actually consumes for a given rich result. That focus keeps your markup lean and eligible, instead of padded with properties that look impressive but do nothing.
Finally, structured data is becoming the language that AI-driven search and assistants rely on as well. Generative search experiences, knowledge panels, voice assistants and answer engines all lean heavily on explicit, machine-readable signals to decide which sources to trust and surface. A page that clearly states its author, its publish date, its prices, its organization identity and its FAQ content is simply easier for any system to quote with confidence than one that buries those facts in prose. Investing a few minutes to add clean JSON-LD now is a low-cost, durable signal that keeps paying off as search interfaces evolve away from a simple ranked list of links toward synthesized, attributed answers.
How
Choose the type that matches your page — Article, FAQ, Product, Organization, Local Business, Breadcrumb or Website. The form instantly switches to show only the fields that type needs, so you never have to memorize which schema.org properties belong together. Match the type to what the page genuinely is rather than what you wish it ranked for.
Type your values into the fields, or add and remove repeatable rows for FAQs, breadcrumb steps and social profiles. The JSON-LD preview on the right rebuilds live as you type, omitting any field you leave empty and nesting objects like author, offers and address correctly. Use dates from the built-in picker so they come out in valid ISO 8601 format automatically.
Hit Copy to grab the full <code><script type="application/ld+json"></code> tag, then paste it into your page head or body. Always run the result through Google's Rich Results Test or the schema.org validator before publishing — it confirms the markup parses and reports exactly which rich result types the page is now eligible for.
Who
Roll out consistent, valid structured data across articles and landing pages to compete for FAQ, breadcrumb and headline rich results without hand-writing JSON. A generator standardizes the output so every page on the site follows the same correct pattern instead of one-off markup that drifts over time.
Mark up products with price, currency, availability and aggregate ratings so listings can show star ratings and price badges directly in search. Accurate Product schema also keeps your feed honest, since the markup is expected to match the price and stock status a shopper actually sees on the page.
Publish LocalBusiness schema with address, phone, opening hours and price range to strengthen local pack visibility and feed Google accurate, consistent details. The same NAP (name, address, phone) data reinforces the citations and Business Profile signals that local ranking depends on.
Add Article schema with an author, publisher, headline and accurate publish and modified dates to qualify for enhanced article treatments and top-stories style placements. Clear authorship and dating also help establish the experience and authority signals search engines increasingly weigh.
Generate clean JSON-LD to template into a CMS, headless front end or static site, then validate it in seconds instead of debugging hand-typed brackets. The output is a plain object you can map to real data sources, turning a tedious manual task into a reusable component.
Produce correct structured data for dozens of client sites without needing a developer for every request, from a restaurant's hours to a SaaS company's organization profile. A consistent, free tool keeps deliverables fast, repeatable and easy to hand off between team members.
When
Add Article schema with author, dates and an image so news and blog content is eligible for enhanced, top-stories and headline treatments in search. Keeping the dateModified field current after edits signals freshness, which matters for competitive, time-sensitive topics.
Wrap your real on-page questions and answers in FAQPage schema so they can expand directly under your result and capture extra vertical space. Only mark up questions that are genuinely visible to users, since fabricated or hidden FAQ content violates the guidelines and risks a penalty.
Use Product schema whenever a page sells or describes a specific item, exposing price, availability and ratings to shopping-style rich results. Update the availability and price properties whenever stock or pricing changes so the markup never contradicts what the customer sees.
Add Organization and WebSite schema on your home page to define your brand name, logo, social profiles and a sitelinks search box for branded queries. This anchors your entity in Google's knowledge graph and helps the right logo and details appear for searches of your name.
Use BreadcrumbList schema on deep pages so search results display a clean, clickable path instead of a long raw URL. Breadcrumbs help both users and crawlers understand where a page sits in your site hierarchy, which is especially valuable for large stores and documentation sites.
Regenerate and re-validate your structured data whenever you change your CMS, theme or URL structure, because markup frequently breaks silently during migrations. A quick pass through a generator and the Rich Results Test confirms nothing was lost in the move before traffic is affected.
<script type="application/ld+json"> block and describes your content — articles, products, FAQs and more — as a set of typed properties so search engines can understand and enhance it rather than inferring meaning from raw text.<script type="application/ld+json"> snippet into the <head> of the page it describes. It can also go in the <body> — Google accepts both — but one self-contained block per page type is the cleanest approach. In a framework like Next.js you can render the same object inside a component instead of pasting raw HTML.itemprop attributes through your visible HTML, JSON-LD lives in one separate block that is far easier to add, edit, template and debug without touching your page layout. That separation also means an SEO change can never accidentally break how the page renders.<script> tags, or combine the objects into a single array. Just make sure each type genuinely describes something on the page rather than stacking irrelevant schemas to look comprehensive.2026-06-07 or a full timestamp with timezone like 2026-06-07T09:30:00-05:00. The date picker in this tool already outputs ISO format, so the datePublished and dateModified values will be valid automatically without any manual formatting.@context tells parsers which vocabulary you are using — always https://schema.org for the output here — while @type declares the specific entity, such as Article or Product. Together they let a crawler resolve every other property in the block to a defined meaning. The generator always sets both correctly, so you do not have to add them yourself.Build clean, Google-ready JSON-LD structured data for Article, FAQ, Product, Organization, Local Business, Breadcrumb and Website schemas. Fill in a few fields and copy a ready-to-paste <script> tag that helps you win rich results in search. Every block is validated as you type and built entirely in your browser, so the output is always syntactically correct and your data never leaves your device.
Use the Schema Markup Generator