Free SEO Tool — No Sign-Up — JSON-LD Format

Free Schema Markup
Generator (JSON-LD)

Generate valid, Google-approved JSON-LD structured data for Article, FAQ, LocalBusiness, Product, Organization, and Event schema types. Copy-paste ready in seconds. No sign-up, no API key, no cost — ever.

6 Schema Types Google-Recommended JSON-LD Rich Results Ready Works on Any CMS 100% Free Forever

🔍 google.com/search?q=best+seo+agency

📰 Google Search Results — Without vs With Schema

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Without Schema vs With Schema

✨ Rich Result

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Generate Your Schema

Pick a Type — Fill — Copy

Select the schema type that matches your page, complete the fields, and copy your ready-to-use JSON-LD code.

Article Schema

For blog posts, news articles, and guides

Article Headline *

Author Name *

Date Published *

Date Modified

Article URL *

Featured Image URL

Publisher / Site Name *

Publisher Logo URL

Article Description

💡

Pro tip: Article schema with author name, publisher, and datePublished strengthens Google's EEAT (Experience, Expertise, Authoritativeness, Trust) signals for your content.

FAQ Items *

Add at least 2 questions. Answers should be 2–4 sentences for best rich result eligibility.

❓ FAQ 1

❓ FAQ 2

🚀

FAQ schema expands your Google listing. A page with FAQ rich results can occupy 2× the SERP space compared to a standard blue link — no paid ads required.

Business Name *

Description

Website URL *

Phone

Street Address

City *

State / Province

Country Code

Postal Code

Logo / Image URL

Price Range

📍

LocalBusiness schema feeds Google Maps, the Knowledge Panel, and local pack results. It is essential if you serve a specific city or region.

Product Name *

Description *

Product Image URL

Brand

SKU

Price *

Currency

Product Page URL

Availability

⭐

Product schema enables price, availability, and star ratings to appear directly in Google Search results — critical for e-commerce and service pages.

Organization Name *

Website URL *

Logo URL

Description

Phone

LinkedIn URL

Twitter / X URL

🏢

Organization schema is required for Google Knowledge Panel creation. It helps Google and AI engines like ChatGPT and Perplexity correctly identify and attribute your brand.

Event Name *

Description

Start Date & Time *

End Date & Time

Venue / Location *

Event URL

Event Image URL

Organizer Name

Attendance Mode

Your JSON-LD Output

Select a schema type above,
fill in the form, and click
Generate JSON-LD Schema Code

Schema generated successfully — validate before publishing. Test in Google ↗

Copied!

Process

How to Generate Schema Markup in 4 Steps

No coding knowledge required. From zero to valid JSON-LD in under 2 minutes.

Choose Your Schema Type

Select from Article, FAQ, LocalBusiness, Product, Organization, or Event. Pick the type that matches your page's primary content purpose.

Fill in Your Details

Complete the form fields. Required fields give Google the minimum data it needs. Optional fields add richer context and improve your rich result eligibility.

Copy the JSON-LD Code

Click Generate, then Copy or Download. The output is a complete <script type="application/ld+json"> block — ready to paste anywhere on your page.

Validate & Publish

Test in Google's Rich Results Test before going live. Fix any warnings, publish the page, and request indexing in Google Search Console for fastest results.

Always Validate Before Publishing

Use Google's Rich Results Test to confirm your schema is syntactically valid and eligible for rich results. The Schema.org Validator catches structural errors. Both are free.

Open Rich Results Test

Schema Types

Every Schema Type — Explained

Understand exactly what each schema type does, when to use it, and what rich results it unlocks.

Article Schema

@type: "Article"

Article schema labels your page as editorial content — a blog post, news article, or guide. It identifies the headline, author, publisher, and publication date so Google can confidently surface it in Top Stories, news carousels, and Google Discover.

💡 Use when: Publishing blog posts, how-to guides, news articles, or any editorial content.

✨ Rich results: Author bylines, date stamps, Top Stories carousel eligibility, Google Discover.

💪 EEAT benefit: Named authorship is one of Google's strongest EEAT signals for content pages.

Blogs News Guides How-To Articles

FAQ Schema

@type: "FAQPage"

FAQPage schema marks up question-and-answer content. Google uses it to display expandable FAQ dropdowns directly beneath your search listing, dramatically increasing your visible SERP footprint without any paid ads.

💡 Use when: Your page has a dedicated FAQ section, service page Q&As, or product questions.

✨ Rich results: Expandable FAQ dropdowns under your Google listing — doubles your SERP real estate.

🤖 AI benefit: FAQ pairs are directly extracted by ChatGPT, Perplexity, and SGE for citation in answers.

Service Pages Landing Pages Product Pages

LocalBusiness Schema

@type: "LocalBusiness"

LocalBusiness schema tells Google exactly who your business is, where it operates, how to contact it, and when it is open. This feeds directly into the Google Knowledge Panel, Google Maps listings, and the local search pack.

💡 Use when: You serve a geographic area — even if you are a fully remote or service-area business.

✨ Rich results: Knowledge Panel, Google Maps listings, local pack business cards, Google Assistant.

📍 Key fields: Name, address, phone, URL, opening hours, geo coordinates, price range.

Agencies Service Biz Retail Restaurants

Product Schema

@type: "Product"

Product schema allows Google to display your product's price, availability, star ratings, and brand directly inside the SERP — before users even click through. It powers both Google Shopping results and organic rich snippets.

💡 Use when: You have a product or service page with a defined price and specific offering.

✨ Rich results: Star ratings, price, availability, brand, and SKU in the SERP rich snippet.

📈 CTR impact: Product rich results have some of the highest click-through rates of any SERP feature.

E-commerce Services SaaS Packages

Organization Schema

@type: "Organization"

Organization schema defines your brand as an entity in Google's Knowledge Graph. It connects your name, logo, social profiles, and contact details into a single authoritative entity — the foundation of the Google Knowledge Panel and AI brand recognition.

💡 Use when: On your homepage and about page. Every website should have Organization schema.

✨ Rich results: Google Knowledge Panel, sitelinks, logo in SERP, social profile links.

🤖 AI recognition: The sameAs property (linking LinkedIn, Twitter, etc.) helps LLMs correctly identify your brand.

Homepage About Page Brand Pages

Event Schema

@type: "Event"

Event schema marks up conferences, webinars, workshops, and meetups. Google uses it to display event cards in search results showing the event name, date, location, and ticket status — enabling users to discover and click through directly from the SERP.

💡 Use when: Promoting any time-bounded event — in-person, online, or hybrid.

✨ Rich results: Event cards in Google with date, time, location, and attendance mode.

📅 Attendance modes: Supports OfflineEvent, OnlineEvent, and MixedEvent (hybrid) attendance modes.

Conferences Webinars Workshops Meetups

Why It Matters

Schema Markup Is No Longer Optional

In the era of AI-powered search, structured data is the difference between being found and being invisible.

What Happens When You Add Schema Markup

Without schema, Google reads words. With schema, Google understands meaning — who wrote this, what is being sold, where this business operates, which questions this page answers. That understanding translates directly into richer, larger, more clickable search listings.

Schema markup is how you communicate with Google, Bing, and AI-powered search engines in their native language. It is the single highest-ROI technical SEO action for most websites.

FAQ schema can double your SERP listing height with no extra spend
Product rich results display price and ratings before the click
Organization schema is a prerequisite for the Google Knowledge Panel
Article authorship strengthens EEAT signals Google now evaluates heavily
Structured data helps AI engines cite your content accurately and consistently

+30% Average CTR lift from FAQ rich results

36% Of page-1 results use structured data

2× SERP real estate with FAQ schema

AI LLMs use schema to cite your content

🤖 Schema & AI Search Visibility

AI-powered search engines including ChatGPT Browse, Perplexity, Google SGE, Gemini, and Bing Copilot all parse structured data when crawling and understanding your pages.

FAQ schema allows AI answer engines to extract precise Q&A pairs verbatim for use in generated answers. Organization schema with sameAs properties helps LLMs build a consistent entity model of your brand, reducing misattribution and hallucination about your business.

Implementing schema is one of the most impactful steps you can take for visibility in the AI search era — and almost no small or mid-sized websites do it correctly.

Where Schema Helps You Rank & Appear

🌎

Google SGE

AI Overviews & rich results

🤖

ChatGPT

Browse citations & entity data

🔍

Perplexity

Answer sourcing & citations

💫

Gemini

Knowledge Graph integration

🐱

Bing Copilot

Structured answer extraction

🔴

Google Search

Rich snippets & Knowledge Panel

💪 Schema Markup & Google EEAT

Google's quality guidelines evaluate content on four dimensions. Schema markup directly supports all four — making it one of the most effective technical signals for content quality in Google's ranking algorithm.

Experience

Article schema with first-hand author details signals real-world experience behind the content.

Expertise

Named authorship and publisher data establish topical expertise Google can verify and reward.

Authoritativeness

Organization schema and sameAs social profiles reinforce your brand's authority as an entity in the Knowledge Graph.

Trustworthiness

Verified contact details, address, and publisher information in LocalBusiness and Organization schema build the trust layer Google needs.

Avoid These Errors

6 Common Schema Markup Mistakes

These errors prevent rich results and can trigger Google Search Console warnings. Avoid them from the start.

❌

Missing Required Properties

Every schema type has required properties. Omitting the headline in Article schema or the name in Product schema means Google cannot generate a rich result even if the markup validates.

Always complete required fields first. Use Google's Rich Results Test to see exactly which required properties are missing.

❌

Marking Up Hidden Content

Google requires that content marked up with schema is visible on the page to users. Marking up content in JSON-LD that does not appear in the visible HTML is against Google's guidelines and can lead to manual actions.

Only include schema values that correspond to content the user can actually read on the page.

❌

Wrong Schema Type for the Page

Using Product schema on a blog post, or Article schema on a product page, sends conflicting signals. Google matches schema type to page content — a mismatch reduces the chance of rich results appearing.

Match the schema type to the primary purpose of the page. A blog post is Article; a product listing is Product.

❌

Invalid JSON Syntax

A single missing comma, unclosed bracket, or extra quotation mark breaks the entire JSON-LD block. Google will silently ignore invalid JSON, showing no rich results and no error — making it hard to diagnose.

Always validate with the Schema.org Validator or Google's Rich Results Test immediately after implementing. Never hand-write JSON-LD.

❌

Keyword-Stuffed FAQ Answers

FAQ schema answers that are keyword-stuffed, promotional, or non-responsive to the question violate Google's content guidelines. Google may suppress FAQ rich results for pages with manipulative Q&A content.

Write FAQ answers that genuinely and completely answer the question. Think of how you would answer a customer, not a search engine.

❌

Not Requesting Re-indexing

Adding schema markup to a page that is already indexed does not automatically trigger a re-crawl. Google may take weeks to discover and re-evaluate new structured data on existing pages without a manual re-indexing request.

After adding schema, use Google Search Console's URL Inspection tool to request indexing. This fast-tracks Google's re-evaluation of your structured data.

FAQ

Schema Markup — Every Question Answered

Comprehensive answers for beginners, developers, and SEO professionals — structured to rank in Google AI Overviews, ChatGPT, and Perplexity.

What is schema markup and why does it matter for SEO?

Schema markup is structured data code — typically written in JSON-LD format — that you embed in a page's HTML to help search engines understand the meaning of your content, not just its words. It uses the standardised Schema.org vocabulary to label page elements: articles, products, businesses, events, FAQs, reviews, and more. When Google understands your content's structure, it can generate rich results — visually enhanced SERP listings that include star ratings, FAQ dropdowns, event dates, price information, or breadcrumb trails. These rich results consistently outperform standard blue links in click-through rate, making schema markup one of the highest-ROI technical SEO implementations available.

What is JSON-LD and why does Google recommend it over Microdata?

JSON-LD stands for JavaScript Object Notation for Linked Data. It is structured data written as a standalone JavaScript object inside a <script type="application/ld+json"> tag — separate from your visible HTML. Google officially recommends JSON-LD for all new structured data implementations for three reasons: (1) It does not require editing your existing HTML markup, making it far easier to implement and maintain. (2) A single script block can contain multiple schema types cleanly. (3) It is easier to test, update, and validate without risking damage to your visible page content. Microdata and RDFa are embedded inline within HTML elements, making them harder to maintain and more prone to errors when the underlying content changes.

Does schema markup directly improve Google rankings?

Schema markup is not a direct ranking factor in the conventional sense — Google has confirmed it does not directly boost rankings. However, the indirect ranking benefits are well-documented and significant. Rich results from schema markup generate 20–30% higher click-through rates on average. Higher CTR sends a stronger relevance signal to Google. FAQ schema expands your SERP real estate without ad spend, meaning you capture more visual attention on the page. Article schema with named authorship supports Google's EEAT evaluation. Additionally, Organization schema with sameAs properties contributes to your entity's Knowledge Graph presence, which increasingly influences how Google ranks brand-related queries.

How do I add JSON-LD schema markup to WordPress without a plugin?

You have several options for adding JSON-LD schema to WordPress without a dedicated schema plugin. The simplest method is to use a Custom HTML block in the Gutenberg editor — paste your generated <script type="application/ld+json"> code block at the bottom of the page or post content. If you use Elementor, add an HTML widget and paste the script tag directly. For site-wide schema (such as Organization schema on every page), use a theme's custom code option or add the script to your theme's functions.php using wp_head. For more control, Yoast SEO and Rank Math both have Schema tab fields where you can add custom JSON-LD per page. The JSON-LD block can be placed anywhere on the page — inside <head> or <body> — and Google will parse it correctly.

Can I use multiple schema types on the same page?

Yes — combining multiple schema types on a single page is common practice and encouraged when the page genuinely contains multiple content types. A service page for a local business might combine Organization, LocalBusiness, FAQPage, and Service schema together. To implement multiple types cleanly in a single JSON-LD block, use the @graph property: wrap all schema objects in a "@graph": [] array within one <script> tag. This tells Google the entities are related and part of the same page context. Alternatively, you can use separate <script type="application/ld+json"> blocks for each schema type — Google will parse all of them.

How do I validate schema markup after generating it?

Use two tools to validate schema markup: (1) Google's Rich Results Test at search.google.com/test/rich-results — paste your JSON-LD code or your page URL to check if it is valid and eligible for specific rich result types. This is the most important test as it shows exactly which rich results your page qualifies for. (2) Schema.org Validator at validator.schema.org — tests structural validity against the Schema.org specification and catches property errors that Google's tool sometimes misses. Run both before publishing. After publishing, check Google Search Console's Enhancements section (under Experience) which shows detected schema types, warnings, and errors across your entire site.

Does schema markup help with ChatGPT, Perplexity, and AI search engines?

Yes, significantly. AI-powered answer engines including ChatGPT Browse, Perplexity AI, Google SGE, Gemini, and Bing Copilot all crawl and parse structured data when building their knowledge of your site. FAQPage schema allows these systems to extract precise question-and-answer pairs to use verbatim in generated answers, with your site cited as the source. Organization schema with sameAs social profile links helps LLMs build an accurate entity model of your brand, reducing misattribution and ensuring that when users ask about your company, the AI gives correct information. Article schema with author details helps AI engines attribute content to the correct individual. In the AI search era, schema markup is one of the most direct technical levers you have for controlling how AI systems represent and cite your brand.

What is Organization schema and do I need it on every page?

Organization schema defines your brand as a structured entity in Google's Knowledge Graph. It connects your business name, logo, website URL, social profiles, contact details, and description into a single verifiable record that Google can reference site-wide. You do not need to add it to every page — Google recommends adding it to your homepage and about page. The sameAs property is particularly important: it links your Schema.org entity to your verified social profiles (LinkedIn, Twitter/X, Facebook, Instagram, Crunchbase), which helps Google and AI engines confirm your brand's identity with high confidence. Organization schema is also a key prerequisite for triggering a Google Knowledge Panel for your brand.

How long does it take for schema markup to show rich results in Google?

After you publish schema markup and request re-indexing in Google Search Console, rich results can appear as quickly as a few days for high-authority sites with frequent crawl schedules. For most websites, expect 1–4 weeks for Google to re-crawl the page, validate the markup, and begin showing rich results. Factors that affect speed: your site's crawl frequency (higher DA sites are crawled more often), whether you requested re-indexing via Search Console, and whether the page was recently published (new pages may take longer). Rich results are not guaranteed — Google decides whether to display them based on quality signals, so ensure your content genuinely matches the structured data you add.

What is the difference between schema.org, JSON-LD, and structured data?

These three terms are related but distinct. Structured data is the broad concept — any data organised in a predictable, machine-readable format so search engines can parse it. Schema.org is the vocabulary — a collaborative project by Google, Bing, Yahoo, and Yandex that defines the types (Article, Product, LocalBusiness, Event, etc.) and properties (name, url, author, price, etc.) available for structured data. JSON-LD is the format — one of three ways to implement Schema.org structured data on a page (the others being Microdata and RDFa). So: structured data is the category, Schema.org provides the vocabulary, and JSON-LD is Google's recommended implementation format. This tool generates Schema.org structured data in JSON-LD format.