Free · No signup

Schema Markup Generator

Schema markup is the language search engines and AI systems use to understand what your page actually is. Pages with proper schema earn rich results (star ratings, FAQ accordions, knowledge panels) and are 3x more likely to be cited in Google AI Overviews. Our generator covers the 12 schema types Google still rewards in 2026, uses AI to draft your field values from a URL or short description, and shows you exactly what ChatGPT or Perplexity would likely extract from your markup before you ship it.

Blog posts, news articles, editorial content. Google rich result: Yes

Generated JSON-LD

{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to write title tags that earn clicks",
  "image": "https://serpview.com/og/og-tools-index.jpg",
  "datePublished": "2026-06-01",
  "dateModified": "2026-06-05",
  "author": {
    "@type": "Person",
    "name": "Utsav Chopra"
  },
  "publisher": {
    "@type": "Organization",
    "name": "SERPView",
    "logo": {
      "@type": "ImageObject",
      "url": "https://serpview.com/logo.png"
    }
  }
}

Paste this inside a <script type="application/ld+json"> tag in your page's <head>.

AI Extraction Preview

See what an AI search engine would likely extract from this schema. Catches missing fields before you publish.

Related glossary terms

Want a deeper dive? These glossary entries explain the concepts behind this tool.

How to use it

1

Pick a schema type

Choose from 12 types: Article, Product, FAQPage, Organization, BreadcrumbList, Person, HowTo, LocalBusiness, Event, Recipe, VideoObject, and SoftwareApplication. The required and recommended fields update to match Google's spec.

2

Fill the fields (or let AI do it)

Type the values yourself, or paste a URL or short description and our AI will suggest the right schema type, draft field values, and flag missing required fields. Every field is editable after the AI draft.

3

Review the AI Extraction Preview

Before you copy, see what ChatGPT, Perplexity, and Google AI Overviews would likely extract from your schema. A confidence score tells you whether your markup is rich enough to be cited.

4

Copy and ship

Copy the ready-to-paste <script> block into your page's <head> or via your CMS's custom-code field. Validate it in Google's Rich Results Test before deploying to production.

Frequently Asked
Questions

Everything you need to know about schema markup, JSON-LD, and rich results in 2026.

Not directly — Google has confirmed structured data is not a ranking signal. But schema makes your page eligible for rich results (star ratings, FAQ accordions, product cards), and rich results get 20–30% higher click-through rates than standard blue links per BrightEdge's 2025 data. Higher CTR is a behavior signal Google uses, so schema indirectly drives ranking by improving the click signal on positions you already own.

The 12 types Google still actively rewards with rich results are: Article, Product (with Offers and AggregateRating), Organization, BreadcrumbList, FAQPage, Person, HowTo, LocalBusiness, Event, Recipe, VideoObject, and SoftwareApplication. Per Frase's 2025 study, FAQPage-marked pages are 3.2x more likely to be cited in Google AI Overviews, and Schema.org's June 2026 usage data shows Article, FAQPage, Organization, and BreadcrumbList are the four most-deployed types on the public web.

JSON-LD. It's the only format Google explicitly recommends in their structured data documentation, it sits in a separate <script> block (so you don't have to sprinkle attributes through your HTML), and SchemaValidator.org's 2025 telemetry found sites using JSON-LD see 23% fewer structured data errors in Search Console than sites using Microdata. The other two formats are technically supported but obsolete for new projects.

Yes — and arguably more than it helps with traditional Google. SearchVIU's October 2025 testing confirmed that ChatGPT, Claude, Perplexity, and Gemini all actively parse Schema.org markup when accessing content. BrightEdge's 2025 study found sites with full schema + a real FAQ block earned 44% more AI search citations. Schema helps LLMs identify the entity, author, and publication date with low ambiguity, which raises the chance the chunk gets selected during retrieval and reranking.

Two validators, in order: (1) Schema.org Validator at validator.schema.org for pure syntax, and (2) Google Rich Results Test at search.google.com/test/rich-results for Google's own eligibility check. Both are free, both run instantly, and both will tell you exactly which required fields are missing. After deploying, watch Google Search Console → Enhancements for the type you added — it'll show you impressions, clicks, and any errors Google found when crawling.

Yes, completely free — no signup, no email gate, no per-generation limit beyond a 10-per-hour fair-use cap to keep the AI bill under control. Your inputs and outputs are never sent anywhere except the AI API call needed to generate your schema, and we don't log, store, or train on anything you type. The 12 schema types and the field forms work entirely in your browser even if the AI is down.

Want this automated across your whole site?

SERPView monitors title tags, meta descriptions, and structured data for every URL — alerting you the moment something breaks or could be improved.

Get started free