Free of charge
Type-dependent fields
Validation + Warnings

Schema Markup Generator for structured data

Free generator · without registration

Make them clean. JSON-LD For FAQPage, Article, Product, Organisation, LocalBusiness, BreadcrumbList and Web site – including plausibility checks and typical SEO advice.

Basic data
Issued
Why this is better
  • Fields adapt to the schema type
  • missing mandatory and recommendation data become visible
  • Warnings are issued directly
  • Rich-result relevance can be classified more realistically
Select a schema type and fill in the appropriate fields.
Result & Preview
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Ready
Quality —
There is no markup yet.
Checking in the Scheme Checker
<!-- Hier erscheint das generierte JSON-LD -->
Summary
Scheme type
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Name / Title
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Format
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SEO Advice
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Interpreted input data
# Field Value Note:

What is a Schema Markup Generator?

One Schematic Markup Generator helps to provide structured data as JSON-LD to be created. This can be used to describe content such as companies, products, articles, FAQs, breadcrumbs or websites in a machine-readable manner.

The goal is not to “manipulate rankings in any way” but to give search engines cleaner signals about page type, main entity, relationships and important characteristics. Good structured data always fits the visible page and only describes content that actually exists.

A generator saves time, reduces syntax errors and provides a clean starting point for templates, CMS systems, editorial processes and technical quality assurance.

Which schema types are useful for which pages?

FAQPage

For real question-and-answer areas on service, advisory or help pages. The markup should only be used if questions and answers are visible on the page.

Article

For blog articles, specialist articles, magazine pages and editorial content with title, author, description, image and ideally publication date.

Product

For product detail pages with real product reference. Additional offer data such as price, currency, availability and brand are particularly useful.

Organisation

For companies, brands or suppliers. Typical are name, URL, logo and official profiles about sameAs.

LocalBusiness

For local companies, locations, offices, practices or branches with address, telephone number and other location data.

BreadcrumbList / WebSite

For navigation paths and general website signals. Breadcrumbs help to describe the page hierarchy cleanly.

How to build JSON-LD correctly on your website

1. Choose the appropriate type

Select the schema type according to the actual page type. Not every page is a product, not every content page is a FAQPage.

2. Enter the content in full

Fill in the central properties cleanly, for example name, URL, description, image, author, price or address.

3. Insert JSON-LD into the page

The markup generated is usually <script type="application/ld+json"> Included in the HTML. In practice, JSON-LD is usually the most easy-care variant.

4. Check markup after installation

Check syntax, properties and plausibility after installation once again technically and technically.

Important: Structured data should only display content that is actually visible and traceable on the page.

When is Structured Data Useful for SEO?

Structured data is especially useful if a page has a clear technical character, for example as an article, product page, company page, FAQ area or breadcrumb structure. The clearer the page type, the cleaner the markup can be modeled.

Structured data in scalable templates, recurring page types, relaunches, editorial systems and technical SEO QA are particularly useful. They help to provide semantic information consistently in machine-readable form.

The benefit lies above all in better classification and structured description of content – not in a simple “ranking trick”. The decisive factor is that type, properties and visible content fit together technically.

Typical errors in Schema Markup

Wrong schema type

A common mistake is choosing a type that does not fit to the side. A glossary article is not automatically a FAQPage, a category page is not automatically a product.

Incomplete data

Technically valid JSON-LD can still be weak if important fields such as price, author, address or image are missing.

Markup does not match the visible content

Structured data should only mark what actually exists on the page. Invented or embellished markup is not a good practice.

Syntax is right, content is not

Formally correct JSON-LD can also be modeled incorrectly. Therefore, always check professionally and technically.

JSON-LD or Microdata – which is better?

In practice, JSON-LD The most pleasant solution for many projects. The markup is separated from the HTML, easier to read and often easier to integrate into templates, CMS or head areas.

Microdata and RDFa can also be used, but are often more maintenance-intensive in everyday life because they are carried directly in the HTML markup. For new implementations, JSON-LD is in many cases the clearer way.

How to Check Created Schema Markup Correctly

Technical test

Check whether your JSON-LD is syntactically correct, all brackets are correct and the properties used are output technically clean.

Technical examination

In addition, check whether the type really fits the page, whether the content is visible and whether no unrealistic or invented information has been entered.

FAQ on the scheme Markup Generator

What is Schema Markup? +

Schema Markup is a structured markup that describes content in a machine-readable manner. JSON-LD is often used for this.

Does a Schema Markup Generator Make Sense for SEO? +

Yes, if it helps to generate clean and suitable JSON-LD efficiently. The decisive factor is not the mere existence of markup, but the technically correct modeling.

Is JSON-LD better than Microdata? +

For many projects, yes. JSON-LD is usually easier to maintain, easier to read and easier to incorporate into templates or CMS structures.

Does Schema Markup directly help with ranking? +

Not as a direct ranking lever. Structured data is more likely to help describe content, entities and page types in a more precise, machine-readable manner.

Which schema type is the right one? +

This depends on the page type: FAQPage for real questions and answers, articles for editorial content, product for product detail pages, organization or local business for companies and locations.

How do I check the generated markup? +

Ideally, after generation and after installation, once again technically and technically – for example in the scheme Checker and additionally via your side check in the live context.

Binding structured data to visible content

Practical example · for illustration

Starting position

Select the type that fits the content, such as Article for an actual published editorial post.

Classify the findings

JSON-LD describes properties such as headline and author. A syntactically correct code confirms neither the information nor the support of Google.

Specific amendment

Use only real, on the page comprehensible information. Check existing CMS structured data for duplicate or conflicting entities.

Control and border

Compare information and HTML with the Schema.org Checker. Schema.org types are not automatically Google Rich Result types; FAQ Rich Results no longer shows Google as of May 2026.

For the next check: Save this free tool in the browser as a bookmark (Ctrl+D or ➳D).