MMSGA

Schema Markup Generator

Choose a schema type, complete the relevant fields, validate required values, and copy clean JSON-LD ready for your page.

Generate structured data

Select the type that accurately represents the visible content on your page.

News, blog posts, and editorial pages.

3/9 fields ready

JSON-LD output

Copy the script into the page it describes.

Your markup will appear here

Complete the required fields and generate clean JSON-LD with the correct schema.org context and type.

Article

Structured data workflow

Generate JSON-LD without hand-writing the object

Choose the type that matches the visible page, complete its relevant fields, and generate a formatted JSON-LD script. The tool supports common editorial, business, commerce, navigation, and software use cases.

Supported schema types

Article

Adds headline, description, author, publisher, dates, image, and the canonical page reference.

FAQPage

Formats visible questions and accepted answers into a consistent mainEntity list.

Product

Describes a product, brand, offer, availability, and optional aggregate rating data.

Organization

Connects an organization name, URL, logo, description, and official profile URLs.

LocalBusiness

Represents a business location with contact, address, coordinates, and opening-hour fields.

BreadcrumbList

Turns an ordered set of page names and URLs into a machine-readable navigation trail.

SoftwareApplication

Describes an application, category, operating system, offer, and relevant product details.

Illustrative example

Example Article markup workflow

An Article selection exposes only the fields needed for that content type and validates required values before generating output.

Required input
Headline, description, author, publisher, publication date, and canonical URL
Optional input
Featured image, publisher logo, and modified date
Generated format
A copy-ready application/ld+json script
Final check
Confirm every value is true and visible on the page, then run a platform validator

Structured data describes existing page content. It should not introduce reviews, prices, authors, or business details that a visitor cannot verify on the page.

How markup is generated

The form applies type-specific fields and predictable transformations so the resulting object is easier to review than a hand-written block.

  1. 1Select the most specific type that accurately represents the page.
  2. 2Validate required text, URLs, dates, numbers, and repeated items.
  3. 3Map the submitted values to a schema.org JSON-LD object.
  4. 4Remove empty optional fields and format the result as an embeddable script.

Before publishing the markup

  • Generated syntax does not guarantee eligibility for a rich result.
  • Search platforms may require additional properties or policies for a specific search feature.
  • The tool cannot verify whether submitted claims match the visible page.
  • Validate the final deployed URL, not only the copied JSON-LD block.

How it works

A useful answer in three steps.

The tool keeps the workflow short while preserving the context you need to act on the result.

  1. 1

    Choose the structured data type that matches your content.

  2. 2

    Complete the fields and resolve validation hints.

  3. 3

    Copy the generated JSON-LD into your page's head or body.

When to use it

Built for everyday search work.

Editorial content

Describe articles and breadcrumb trails with consistent machine-readable fields.

Business entities

Clarify organization and local business names, URLs, contact details, and locations.

Products and software

Express product, offer, rating, and application details without hand-writing JSON.

Frequently asked questions

Quick context for using the tool and interpreting its output.

Where should I add JSON-LD?+

Add the script block to the HTML head or body of the page it describes. Many CMS platforms provide a dedicated schema or code-injection field.

Does schema guarantee a rich result?+

No. Valid markup helps search engines understand a page, but eligibility and display depend on content quality, policies, and the search engine.

Which schema type should I choose?+

Choose the most specific type that accurately represents the main content. Do not add fields or types that are not visible or true on the page.