Schema Markup Generator

Generate valid JSON-LD structured data for 15 schema types. Copy, download, or embed directly into your HTML. All generated markup follows Schema.org standards; always validate eligibility against current Google rich result guidelines.

Task flow

Choose type → fill fields → generate → validate → copy or download

Use this generator as a staged implementation handoff: create JSON-LD, check warnings, validate it externally, then copy the script into the page.

  1. 1Choose typePick the schema that matches the visible page.
  2. 2Fill fieldsUse complete names, URLs, dates, and required properties.
  3. 3GenerateReview the live JSON-LD preview for warnings.
  4. 4ValidateTest with Schema.org or Google tools before publishing.
  5. 5Copy/exportCreate a handoff for the developer or CMS editor.
Try an example:

Select Schema Type

Fill in the fields below to generate your schema markup.

Generated JSON-LD

// Select a schema type and fill in the form

AI Schema Review

Review the generated JSON-LD for likely gaps, mismatches, and validation steps before publishing.

Before publishing:Test this markup with Google’s Rich Results Test or Schema.org Validator and confirm it matches visible page content.

Optional. Your current tool inputs/results are sent to the configured AI provider for generation. Do not submit private URLs, passwords, API keys, or confidential text.

About Schema Markup

Schema markup (structured data) helps search engines and other systems understand your content better. Some schema types may support enhanced search features when the page is eligible and the markup follows current guidelines. This generator supports 15 schema types covering the most common structured data needs.

Organization

Company name, logo, contact info, and social profiles

LocalBusiness

Address, phone, hours, and service area

FAQPage

Question and answer pairs for standards-based FAQPage markup

Why Schema Markup Matters for SEO

Adding accurate structured data to your website is a common technical SEO improvement when the markup matches visible page content. Here's why it matters:

  • Enhanced feature eligibility — Some schema types may support rich results when the page and markup meet current search engine guidelines.
  • Machine-readable context — Structured data gives compatible systems a clearer description of entities, actions, and page details.
  • Entity clarity — Accurate Organization and LocalBusiness markup can help compatible systems understand brand, location, contact, and profile details when they match visible page content.
  • Standards-based markup — Structured data keeps important page details machine-readable, but it does not guarantee rich results or future search visibility.

Best Practices

  • Use JSON-LD format — it's Google's preferred format and the easiest to implement and maintain.
  • Understand required and recommended properties — Google-supported rich-result types may have required and recommended properties; Schema.org validity and Google rich-result eligibility are not the same thing.
  • Use absolute URLs for all URL fields — never use relative paths in schema markup.
  • Keep information accurate and up-to-date — outdated schema can confuse search engines and harm user experience.
  • Mark up visible content only — Google discourages marking up content that isn't visible to users on the page.
  • Test your markup — always validate with Google's Rich Results Test after deployment.
  • Combine relevant schema types only when they accurately represent visible page content.

Schema Markup Generator Examples: Valid vs. Broken Inputs

Use these examples before testing your own site so you know what a normal result and a problem result should look like.

Valid example

Choose Organization schema and enter a real business name, homepage URL, logo URL, sameAs profile URLs, and contact details that match the website.

Broken example

Mix LocalBusiness fields into Organization schema, leave the name blank, or use relative image URLs. The output may be incomplete or misleading.

Preview: What the Result Should Show

A screenshot should show a completed schema form beside the generated JSON-LD preview and copy/download controls.

How to Interpret the Result

Complete the fields required for your target rich-result type first, then verify the JSON-LD in a structured data testing tool before publishing.

Common Failure Cases

  • Wrong schema type for the page
  • Missing required name or URL
  • RelativeURLs instead of absolute URLs

What warnings mean

Warnings usually mean the JSON-LD is incomplete, inconsistent, or risky to publish without another pass. They do not guarantee a rich-result problem, but they do signal that the markup may be hard for machines to trust or parse cleanly.

What this tool cannot know

  • Whether the schema matches every visible detail on the live page after implementation.
  • Whether Google currently supports enhanced results for that schema type or will show them for your page.
  • Whether template logic, CMS plugins, or duplicate schema blocks will conflict after the markup is added to production.

Download sample report

Frequently Asked Questions About Schema Markup

Schema markup (structured data) is code added to your website to help search engines and other systems understand your content better. Some schema types may support enhanced search features when they match current platform guidelines, but structured data is not a direct ranking factor and does not guarantee richer search listings or higher CTR.
Most businesses should start with Organization schema (name, logo, contact info) and LocalBusiness schema if you have a physical location. E-commerce sites need Product schema. Blogs need Article or BlogPosting schema. Note: FAQPage structured data is valid Schema.org vocabulary, but Google discontinued FAQ rich results on May 7, 2026. The markup still works for Schema.org-compatible systems. You can combine multiple schema types on a single page — Google recommends including all relevant structured data.
JSON-LD (JavaScript Object Notation for Linked Data) is Google's recommended format. It's a script tag placed in the <head> or <body> that's easy to implement and maintain. Microdata uses HTML attributes within your content tags. RDFa is similar but more verbose. JSON-LD is preferred because it's cleaner, easier to generate programmatically, and doesn't clutter your HTML markup.
Click "Copy JSON" to copy the raw JSON, then paste it into a <script type="application/ld+json"> tag in your page. Or click "Copy HTML" to get the full <script> tag ready to paste. Place it in the <head> section or just before the closing </body> tag. After adding it, test your implementation using Google's Rich Results Test or Schema.org validator.
Schema markup is not a direct ranking factor and should not be described as a ranking shortcut. It can make page details easier for search engines to interpret and may support eligible enhanced features for some schema types, depending on current guidelines.
Yes — you can and should include all relevant schema types on a page. For example, a blog post could include Article schema, BreadcrumbList schema, Organization schema, and Person schema (for the author). Just make sure each schema is complete and doesn't contain conflicting information. Google allows multiple JSON-LD blocks on a single page.
After adding schema to your page, use Google's Rich Results Test (search.google.com/test/rich-results) to check if your markup is valid and eligible for rich results. You can also use the Schema.org validator or Yandex.Webmaster validator. If you see errors, fix them and re-test. Common issues include missing required fields, incorrect @type values, and broken URLs.
The most common mistakes are: (1) Missing required fields — every schema type has required properties that must be present. (2) Using invalid URLs — all URL fields must be absolute, working URLs. (3) Incorrect nesting — properties like address, offer, or author must be properly structured objects. (4) Using schema markup for hidden content — Google discourages marking up content that isn't visible to users.
Structured data can make content more machine-readable, but do not assume it will cause voice assistants to surface a page. Use schema because it accurately describes the page, not as a guaranteed voice-search tactic.
Update your schema whenever your business information changes (new address, phone number, hours, products, or services). Also review your schema when Google announces new structured data features or guideline changes. At minimum, audit your schema markup quarterly to ensure it's valid, up-to-date, and aligned with current best practices.
Reviewed Jun 2026 · Sources and limitations

Review details: 2026-06-10 · Marc LaClear · v1.0

Reference sources:

Known limits:

  • Checks are based on publicly fetchable HTML, response headers, and browser-side input. They do not use private Google Search Console, analytics, or ranking data.
  • Scores and warnings are diagnostic aids, not guarantees of ranking improvement or Google indexation.
  • Pages blocked by robots.txt, login walls, bot protection, heavy JavaScript, or network timeouts may return incomplete results.
  • Validate critical fixes with official Google tools such as Search Console, Rich Results Test, Lighthouse, and your own crawl data.

Report an issue with this tool