Does schema markup improve SEO rankings?

Schema markup is not a direct guarantee of higher rankings. Its main role is to help search engines better understand your content and, for supported content types, potentially make pages eligible for enhanced search features.

Where should I add JSON-LD on my website?

JSON-LD is usually added to the HTML of the relevant page inside a element. The markup should describe the content of that specific page.

How do I validate schema markup?

You can validate structured data using tools such as Google Rich Results Test and the Schema.org Validator. Validation should be performed before publishing and again after the markup has been deployed.

Can I use more than one schema type on the same page?

Yes, when multiple schema types accurately describe different parts or entities on the page. For example, a page may contain Article, BreadcrumbList and Organization structured data. The markup should remain accurate, relevant and consistent with the visible page content.

Schema Markup Generator

Q: What is schema markup?

Schema markup is structured data added to a webpage to help search engines understand the entities, properties and relationships described in the content.

Create clean JSON-LD structured data in seconds.

Choose a schema type, complete the relevant fields and generate ready-to-use markup for your website.This tool is designed for SEO teams, developers and marketers who want to make page content easier for search engines and AI systems to understand.

Choose a schema type

Select the markup that matches your content.

Complete your details

Add the information shown on your page.

Generate & validate

Copy the JSON-LD and test it before publishing.

Article schema details

Headline *

Description *

Image URL

Author name *

Author type

Publisher name *

Publisher logo URL

Date published *

Date modified

Canonical URL

Product name *

Description

Image URL

Brand *

SKU

Price *

Currency

Availability

Product URL

Business name *

Business type

Phone

Website URL

Street address *

City *

Postal code *

Latitude

Longitude

Opening hours

Generated JSON-LD

Ready to validate

Check your markup with Google’s Rich Results Test or Schema.org Validator before publishing.

Copied to clipboard!

Make your content easier to understand with structured data

Schema markup is structured data added to a webpage to describe what the content represents.

It can identify entities such as articles, products, businesses, organisations, people, breadcrumbs and other types of content in a machine-readable format.

Most modern implementations use JSON-LD, which keeps structured data separate from the visible page content and makes it easier to implement, update and maintain.

Structured data can help search engines understand the relationships between the entities on your page and may make supported content eligible for enhanced search features when all requirements are met.

For AI search and generative systems, consistent structured data can also reinforce how key entities and relationships are represented across your site.

Clearer entities.
Better machine understanding.

How to use this schema markup generator

Choose your schema type

Select the structured data type that best matches your page. For example: Article for editorial content, Product for product pages, Local Business for businesses with a physical presence, or Breadcrumb for site hierarchy.

Complete the relevant fields

Enter accurate information that matches the content visible on your page. Avoid adding information solely for search engines if users cannot find that information on the page itself.

Generate, copy and validate

Generate your JSON-LD, copy it into your website and validate the markup before publishing. Always check the final implementation after deployment.

What is schema markup?

Schema markup is a standardised vocabulary used to describe entities, attributes and relationships on a webpage.

Search engines can use this structured data to better understand the meaning and context of your content.

For example, Article schema can identify:
-the headline
-author
-publisher
-image
-publication date
-modified date.

This gives machines a more explicit description of what each element on the page represents.

FOR EXAMPLE

An Article schema can tell a search engine that a name belongs to the author, another entity is the publisher, and a specific date is the publication date.

Without structured data, those relationships may be less explicit.

Which schema type should I use?

Article

For editorial content, guides, news and blog posts.

Product

For product pages with product, brand, offer and availability data.

Local Business

For businesses with a physical presence, contact details and location data.

Breadcrumb

For describing a page’s position within your site hierarchy.

Why structured data matters for SEO and AI search

Title & Meta Description Checker

Preview and optimise your search snippets in characters and pixels for Google SERP.

SEO ROI Calculator

Estimate the financial return and revenue generated by your organic search growth.

ROAS Calculator

Measure how much revenue your advertising generates for every euro or dollar spent.

CPA Calculator

Calculate your average cost per acquisition and check campaign conversion efficiency.

Frequently asked questions

Explore our other SEO calculators

Title & Meta Description Checker

Preview and optimise your search snippets.

SEO ROI Calculator

Estimate the return generated by your organic growth.

ROAS Calculator

Measure the return generated by your advertising spend.

CPA Calculator

Calculate your average cost per acquisition.

Build a stronger technical SEO foundation

Need help implementing schema, improving technical SEO or strengthening your visibility across search and AI platforms?

Infini Digital helps businesses improve their technical SEO, structured data, content architecture, GEO and AEO.

We identify implementation opportunities that can make your website easier for search engines and AI systems to understand.

Book a call