Google Search Central Compliant · Schema.org Valid · Real-time JSON-LDCategory: SEO & Web

Free Schema Markup Generator (JSON-LD Structured Data)

A developer-grade Schema.org structured data builder that generates clean, error-free JSON-LD code snippets. Structured data helps search engines like Google and generative engines like Perplexity understand entity relationships, unlocking rich results, knowledge cards, and expanded SERP listings.

Quick Tutorial

How to use Schema Markup Generator

1Step 1

Select Schema Entity Type

Choose the entity that best matches your content (e.g., FAQPage for help sections, Article for blog posts, Product for e-commerce).

2Step 2

Fill in Key Entity Properties

Provide required and recommended fields like names, URLs, descriptions, authors, prices, and questions.

3Step 3

Copy JSON-LD Script Tag

Copy the generated <script type="application/ld+json"> snippet and embed it into your page HTML <head> or <body>.

Technical Reference

Technical specifications & standards

Verified standards, supported properties, and industry specifications implemented in this utility.

Schema Type	Target Entity	Key Required Properties	Google Rich Result Feature
Article / BlogPosting	News, guides, articles	headline, image, datePublished, author	Top Stories carousel, visual card
FAQPage	Frequently asked questions	mainEntity[].name, mainEntity[].acceptedAnswer.text	Expandable FAQ dropdowns in SERP
Product	Retail items, software	name, image, offers.price, offers.priceCurrency	Price, in-stock badge, review stars
LocalBusiness	Stores, clinics, offices	name, address, telephone, openingHours	Google Maps pin, knowledge panel
BreadcrumbList	Navigation paths	itemListElement[].position, itemListElement[].name	Breadcrumb URL trail in search

In-Depth Documentation

Architecture & best practices

Why JSON-LD is Preferred Over Microdata and RDFa

Google Search Central explicitly recommends JSON-LD over inline Microdata and RDFa. JSON-LD decouples structured semantic data from presentation markup, living inside an independent <script type="application/ld+json"> tag. This prevents broken schema markup when frontend UI templates or class names are refactored.

Structured Data in Generative Engine Optimization (GEO)

Generative AI engines (Perplexity, ChatGPT Search, Gemini) leverage structured JSON-LD entity graphs during their Retrieval-Augmented Generation (RAG) extraction phase. When a webpage clearly states entity attributes (such as author credentials, release dates, and verified FAQ pairs), RAG parsers extract factual propositions with significantly higher confidence, directly increasing citation rates.

Common Questions

Frequently asked questions

Everything you need to know about formats, browser compatibility, and usage.

Where should I place the JSON-LD script on my website?▼

Google supports JSON-LD in both the <head> and <body> sections of HTML documents. Placing it in the <head> is recommended as it allows search engine crawlers to parse structured metadata early in the document tree.

How do I verify that my schema markup is valid?▼

Test your generated JSON-LD code using Google's official Rich Results Test (search.google.com/test/rich-results) and Schema.org's Validator (validator.schema.org) to check for missing required fields or warnings.

Can I include multiple schema types on a single page?▼

Yes! You can either embed multiple <script type="application/ld+json"> tags or combine entities into a unified @graph array. For instance, a blog page frequently combines BreadcrumbList, Article, and FAQPage in a single schema block.

Does having Schema markup guarantee Google rich snippets?▼

No algorithm guarantees rich snippet display. Schema markup makes your page eligible for rich results, but Google's ranking algorithms determine whether to display them based on page authority, content quality, and search query relevance.