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Schema Markup Generator

Generate JSON-LD for Organization, Product, Article, LocalBusiness, Breadcrumb and more.

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Guide · 7 min read

Schema Markup Generator: A Guide to JSON-LD Schema

A practical guide to the schema types most sites need, how to write them in JSON-LD, and how to generate and deploy markup without errors.

Schema markup is structured data that describes your page's content, such as a product, an article or your business, in a vocabulary search engines understand. The easiest way to create it is with a schema markup generator like the QCK Schema Markup Generator, which outputs JSON-LD for Organization, Product, Article, LocalBusiness, BreadcrumbList and more, ready to paste into your site.

What schema markup is

Schema.org is a shared vocabulary launched in 2011 by Google, Microsoft and Yahoo, with Yandex joining later that year. It defines types (like Product) and properties (like name, brand and offers). Schema markup applies that vocabulary to a page so machines can read facts directly instead of inferring them from layout.

Google supports three formats: JSON-LD, Microdata and RDFa. Google recommends JSON-LD, which sits in its own script tag rather than being woven into your HTML. That makes it easier to add, generate and maintain. A minimal example:

<script type="application/ld+json">
{ "@context": "https://schema.org", "@type": "Organization", "name": "Example Co.", "url": "https://example.com", "logo": "https://example.com/logo.png" }
</script>

Why schema markup matters

  • Rich results. Valid markup can make pages eligible for enhanced search listings, such as product prices, availability and review ratings, breadcrumb trails and article details. These take more space and give searchers more reason to click.
  • Clear entity information. Organization markup states your official name, logo, URL and social profiles. That helps search engines connect your brand across the web.
  • Machine-readable facts for AI search. Structured data gives crawlers explicit facts about products and organizations. It does not guarantee AI citations, but it removes ambiguity about what a page describes.
  • Merchant features. For e-commerce, Product markup with accurate offers supports Google's product-related search experiences alongside your Merchant Center feed.

Schema markup is not a direct ranking factor. Its value comes from eligibility for richer listings and clearer understanding.

Which schema types you need

TypeUse it onKey properties
OrganizationHomepage or about pagename, url, logo, sameAs, contactPoint
ProductProduct pagesname, image, description, brand, sku, offers (price, priceCurrency, availability), aggregateRating
Article / BlogPostingBlog posts and guidesheadline, image, datePublished, dateModified, author
LocalBusinessLocation pages for physical businessesname, address, telephone, openingHoursSpecification, geo
BreadcrumbListAny page with a breadcrumb trailitemListElement with position, name and item
FAQPagePages with visible Q&AmainEntity with Question and acceptedAnswer

A typical Shopify store needs Organization on the homepage, Product on product pages, BreadcrumbList on product and collection pages, and Article on blog posts. A B2B site usually needs Organization, Article and, where relevant, LocalBusiness or Service markup.

How to use the QCK schema markup generator

  1. Open the Schema Markup Generator.
  2. Choose the schema type that matches the page.
  3. Fill in the fields using the exact information visible on the page: names, prices, addresses, dates.
  4. Add optional fields where you have real data, such as SKU, brand, ratings or social profile URLs.
  5. Generate the JSON-LD and copy it.
  6. Paste it into the page, either in the <head> or the body. Google reads it in either place.
  7. Validate the live page. The schema validation guide walks through it.

Hand-generated markup is best for pages that rarely change: your Organization block, location pages, key landing pages. For thousands of products, use the generator to design the structure, then implement it in your theme template so values pull from your product data automatically.

How to get schema right

Match the visible page

Google's structured data guidelines require markup to describe content users can see. If a price, rating or review is in the markup, it should be on the page. Do not mark up content that is hidden or does not exist.

Keep values dynamic

Hardcoded prices and availability go stale. On e-commerce sites, output offers from the same data that renders the price, so markup and page always agree.

Connect your entities

Use @id values to link related blocks, for example pointing a Product's brand or an Article's publisher at your Organization. It keeps your entity data consistent.

Avoid duplicates

If your theme and an app both output Product markup, remove one. Conflicting blocks with different values are a common source of errors.

Handle variants deliberately

Products with sizes or colors can be marked up as one Product with multiple offers, or as a group of variants. Whatever you choose, make sure the price and availability in the markup match the variant a visitor sees when the page loads.

Common schema mistakes

  • Marking up reviews you wrote about yourself. Google does not show self-serving review snippets for Organization and LocalBusiness.
  • Using the wrong type. A category page is not a Product. Use the type that matches the main content.
  • Expecting FAQ rich results. Google restricted them in 2023. See the FAQ schema guide.
  • Forgetting maintenance. Re-validate after theme updates, app changes and replatforms.

Need structured data across a full catalog or a multi-location business? Our e-commerce SEO team builds template-level schema, and our AI search optimization work uses it to strengthen how assistants understand your brand.

FAQ

Questions & answers

What is schema markup?
Schema markup is structured data, based on the schema.org vocabulary, that describes a page's content in a machine-readable way so search engines can understand facts like product prices, authors and business details.
Is JSON-LD better than Microdata?
Google supports both, but recommends JSON-LD because it sits in a separate script tag and is easier to add and maintain without touching the page's HTML structure.
Does schema markup improve rankings?
Schema markup is not a direct ranking factor. It can make pages eligible for rich results and helps search engines and AI systems understand your content clearly.
Where do I put JSON-LD on a page?
Inside a script tag with type application/ld+json, either in the head or the body. Google reads it in both locations.
Which schema types should an online store use?
Most stores need Organization on the homepage, Product on product pages, BreadcrumbList on product and collection pages, and Article or BlogPosting on blog content.
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