A free schema markup generator for JSON-LD. Choose FAQ, How-To, Article, Review, Local Business or Person, fill in the fields, and copy structured data that is ready to paste into your page. It helps Google show rich results and helps AI answer engines understand what the page is about.
스키마 설정
스키마 유형을 선택하고 필수 필드를 입력하세요
FAQ
자주 묻는 질문
스키마 유형
생성할 수 있는 다양한 구조화된 데이터 유형
FAQ
자주 묻는 질문
이용 방법
단계별 안내
기사
블로그 포스트 또는 기사
리뷰
제품 또는 서비스 리뷰
지역 비즈니스
지역 비즈니스 정보
인물
인물 또는 작성자 정보
생성된 스키마
구현할 준비가 완료된 JSON-LD 구조화된 데이터
양식을 작성하고 생성하여 스키마 출력을 확인하세요
구현 가이드
1. JSON-LD 복사하기: Use the generated schema above
2. HTML에 추가하기:Place the script tag in your page's <head> section
<script type="application/ld+json">
// Paste your schema here
</script>
3. 테스트하기:Use Google's Rich Results Test to validate your schema
What is a schema markup generator?
A schema markup generator is a tool that turns facts about a page into JSON-LD structured data, the format Google recommends. This free generator covers six schema.org types: FAQ, How-To, Article, Review, Local Business and Person. You fill in a short form, it writes the code inside a script tag, and you copy or download it. It runs in your browser and needs no account.
Schema types you can generate
Each type has its own form with the required fields marked, so the JSON-LD you copy is complete.
FAQ (FAQPage)
Question and answer pairs, the markup AI engines and Google read as direct answers.
How-To
A name, a description and up to five steps for tutorials and guides.
Article
Headline, description, author, publish date and image for blog posts and news.
Review
The item reviewed, the review text, a rating, the author and the date.
Local Business
Name, description, address, phone, website and opening hours for a local listing.
Person
Name, job title, employer, description, website and email for author and team pages.
Ready-to-paste output
Valid JSON-LD inside a script tag. Copy it, or download it as a file.
The AI schema generator drafts markup from a description of your page.
How to generate schema markup
Pick a type, fill the form, then test the result before it goes live.
Choose a schema type
Pick the type that matches the page: FAQ for questions and answers, How-To for a tutorial, Article for a post, Review, Local Business or Person.
Fill in the fields
Required fields are marked. Enter only what is visible on the page, such as the headline, author and date for an article.
Generate the JSON-LD
Click Generate. If a required field is empty, the tool lists what is missing instead of writing incomplete markup.
Copy or download the code
Copy the script tag, or download it as a .json file to keep with your templates.
Test it, then add it to the page
Paste the code into Google's Rich Results Test, then add it to the page's HTML or your CMS's header-scripts setting.
How to read the generated JSON-LD
Every block the generator writes has the same parts. Knowing them makes it easy to edit the code by hand later.
<script type="application/ld+json">
The wrapper. Search engines read the JSON inside it; visitors never see it. Paste the whole block, tags included.
@context
Always https://schema.org. It tells the reader which vocabulary the property names come from.
@type
The kind of thing the page describes: FAQPage, HowTo, Article, Review, LocalBusiness or Person.
Properties
Your field values under their schema.org names, such as headline, author, datePublished or address.
Nested entities
Some values are objects with their own @type, such as the Person who wrote an article or the PostalAddress of a business.
Missing required fields
If a required field is empty, the tool names it and writes nothing, so you never paste half-finished markup.
How schema markup helps search engines and AI answers
Schema markup is structured data that labels what a page contains: this is an article, this is its author, this is a business with this address. Search engines use it to understand the page and, when the page qualifies, to show rich results such as review stars or article details.
AI answer engines read the same pages. Clear labels for entities, authors and facts make content easier to parse, but markup alone does not earn a citation. The visible content still has to answer the question well, and the markup has to match it.
Which schema type should you use?
Match the type to what the page is, not to the rich result you want.
Blog post or news story: Article, with the headline, author and publish date.
A page of questions and answers: FAQ (FAQPage). Google now shows FAQ rich results mainly for well-known government and health sites, but the markup still describes the page.
Step-by-step tutorial: How-To. Google stopped showing How-To rich results in 2023; other engines and AI tools can still read the steps.
Shop, office or restaurant: Local Business, with the address, phone and opening hours.
Author or team page: Person, with the job title and employer.
Product, recipe, event or a type not listed here: draft it with the AI schema generator, then test it.
JSON-LD, Microdata or RDFa?
All three are valid ways to add schema.org markup. JSON-LD sits in one script block and doesn't touch your visible HTML, so it is easier to add, test and update. Google recommends it, and this generator writes JSON-LD only.
무료 스키마 생성기 도구
저희의 무료 스키마 생성기 도구는 웹사이트를 위한 구조화된 데이터 마크업을 쉽게 만들 수 있도록 도와줍니다.
구조화된 데이터는 검색엔진이 콘텐츠를 더 잘 이해하도록 돕고,
리치 스니펫, 향상된 검색 결과, 그리고 SEO 성과 개선으로 이어질 수 있습니다.
구조화된 데이터란 무엇인가요?
구조화된 데이터는 페이지에 대한 정보를 제공하고 페이지 콘텐츠를 분류하기 위한 표준화된 형식입니다.
schema.org 어휘를 사용하며 JSON-LD, Microdata, RDFa 형식으로 구현할 수 있습니다.
지원되는 스키마 유형
FAQ 스키마: For frequently asked questions and answers
HowTo 스키마: For step-by-step instructions and tutorials
기사 스키마: For blog posts, news articles, and content
리뷰 스키마: For product and service reviews
지역 비즈니스 스키마: For local business information
Person Schema: For author and person information
구조화된 데이터를 사용할 때의 이점
리치 스니펫을 통한 향상된 검색 결과
검색엔진의 콘텐츠 이해도 향상
검색 결과 클릭률(CTR) 개선
스키마 구현 방법
당사의 도구를 사용하여 스키마 생성하기
JSON-LD 코드 복사하기
HTML 페이지의 head 섹션에 추가하기
Google의 리치 결과 테스트를 사용하여 확인하기
검색 성과 모니터링하기
권장 모범 사례
스키마 유형과 일치하는 콘텐츠에만 구조화된 데이터 사용하기
스키마를 정확하고 최신 상태로 유지하기
사이트에 적용하기 전에 구현 상태 테스트하기
검색엔진을 기만할 목적으로 구조화된 데이터를 사용하지 않기
Google의 구조화된 데이터 가이드라인 준수하기
What this schema generator doesn't do
It covers six types. Product, Recipe, Event, Organization and others need the AI schema generator or hand-written code.
The FAQ form writes one question and answer per run. For several questions, generate each one and combine them in a single mainEntity list.
It checks that required fields are filled, not that your page qualifies for a rich result. Run the code through Google's Rich Results Test.
It doesn't read or edit your page. You add the code to your site yourself.
Rich results are never guaranteed. Google decides per page and per query.
How much does schema markup improve click-through rate?
There is no reliable single number. Schema can make a page eligible for rich results, which often stand out more than a plain result, but Google decides when to show them and the effect varies by query and result type. Compare the page's CTR in Search Console before and after you add markup.
How does schema markup help with AI search?
It labels the entities on a page, such as the organization, the author, the questions and answers, so AI systems that read the page can identify them more easily. It doesn't guarantee that ChatGPT, Gemini or Google AI Overviews will cite you; the content has to answer the question and match the markup.
What is schema markup?
Schema markup is structured data code added to a webpage that helps search engines and AI systems understand the content's meaning and context. It uses vocabulary from schema.org and is written in JSON-LD format in the page head. It enables rich results in Google Search and helps AI engines like ChatGPT and Gemini correctly identify entities on your site.
What schema types give rich results in Google?
Google's documented rich result types include FAQ, HowTo, Article, Product, Review, Recipe, Event, Video, JobPosting, Course, BreadcrumbList, Dataset, and more. Each requires specific required properties. Using Google's Rich Results Test confirms whether your schema qualifies.
Is JSON-LD better than Microdata for schema?
Yes, for most use cases. Google officially recommends JSON-LD because it sits in the head section without requiring you to modify visible HTML structure. Microdata embeds attributes throughout your content markup, making it harder to maintain. JSON-LD is easier to test, update, and increasingly the industry standard.
Should every page have schema markup?
Prioritise schema for your homepage (Organisation, WebSite), blog posts (Article), product pages (Product), FAQ pages (FAQPage), and local business pages (LocalBusiness). Generic category and archive pages can use BreadcrumbList at minimum to establish page context for crawlers.
Can I add multiple schema types to one page?
Yes. Multiple JSON-LD script blocks on a single page are valid and encouraged. An article page can simultaneously carry Article, FAQPage, BreadcrumbList, and Author schemas — each script block is independent and additive.
What is structured data schema?
Structured data schema is a standardized format for providing information about a page and classifying the page content. It helps search engines understand your content and can result in rich snippets in search results.
What types of schemas can I generate?
Our schema generator supports FAQ, HowTo, Article, Review, Local Business, and Person schemas. Each type is optimized for different content types and use cases.
Is the schema generator free?
Yes, our schema generator is completely free to use. You can generate unlimited schemas without any cost or registration required.
How do I implement the generated schema?
Copy the generated JSON-LD code and add it to your HTML page's head section using a script tag with type 'application/ld+json'.
Is this an AI schema generator?
This page is a form-based generator: you fill in the fields and it writes the JSON-LD, so the output is exactly what you entered. For markup drafted by AI from a description of your page, use the AI schema generator, then check the result in the Rich Results Test.
What is a JSON-LD schema generator?
A tool that turns details about a page into JSON-LD, the structured-data format Google recommends. JSON-LD sits in a script tag in the page's HTML and doesn't change what visitors see.
Does schema markup help with AI search?
It helps engines identify what a page is: an FAQ, a how-to, a local business, an author. That makes your content easier to parse and quote. It does not guarantee rich results or AI citations; the content itself still has to answer the question well.
More tools for structured data
Draft the content the markup describes, then check how crawlers see the page.
AI Rank Lab's free audit scores a page for SEO, answer-engine (AEO) and generative-engine (GEO) readiness, including its structured data, and lists the fixes.
SEO, AEO and GEO audit
Paste a URL. The audit crawls the page, checks its markup, headings, robots.txt, sitemap and llms.txt, and returns three scores with the fixes ordered by impact.
