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.
How it works
A short, focused workflow — input, run, read the result.
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.
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.
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.
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.
What is schema markup, and why does it drive AI Overview citations?
Schema markup is structured data written in JSON-LD that tells Google exactly what your page is. Pages with proper schema earn rich results and are 3.2x more likely to be cited in Google AI Overviews, ChatGPT, and Perplexity. Skip it and a perfectly good page stays invisible to machines.
What this schema markup generator covers
Every schema type, validator, and AI-preview signal in one workflow.
- JSON-LD output — emits valid JSON-LD inside a single <script> tag. The only format Google explicitly recommends in their structured data documentation.
- Article schema — covers Article, NewsArticle, and BlogPosting with headline, author, datePublished, image, and publisher fields ready to fill.
- Product schema — includes Offers, AggregateRating, Review, and Brand. Required for product carousels and price-rich results in Google Shopping.
- FAQPage schema — marks up question and answer pairs to win the FAQ accordion rich result. Correlates strongest (r=0.61) with AI Overview citations.
- HowTo schema — structures step-by-step instructions with estimated time, cost, and tools. Correlates r=0.67 with AI citations for procedural queries.
- AI Extraction Preview — shows what ChatGPT, Perplexity, and Google AI Overviews would likely pull from your markup, with a confidence score.
- Live JSON-LD validation — validates syntax against schema.org as you type, flagging missing required fields and type mismatches before you copy.
- Required vs. recommended fields — color-codes Google-required fields (red) and recommended-but-optional fields (amber), so you know what blocks the rich result.
Who uses this schema markup generator
Anyone shipping pages that need rich results or AI citations, from solo bloggers to enterprise SEO teams.
You're auditing 200 articles on a content hub and need to add Article + FAQPage schema to all of them before the next crawl.
Generate per-article markup in bulk with AI field fill, validate each, and ship the <script> blocks through your CMS in one afternoon.
You're publishing a 'best of 2026' roundup and want it to win the FAQ accordion and People Also Ask boxes for 12 target queries.
Generate FAQPage schema with each question and answer mapped, paste the JSON-LD, and watch the rich result go live in Search Console.
You manage structured data across 12 client sites and need a consistent, audit-friendly workflow that scales.
Standardize on a single generator, save client-specific presets, and reduce schema errors reported in Search Console to near zero.
Your 5,000 product pages are missing Product + Offer + AggregateRating schema, so they never appear in Google Shopping rich results.
Generate templated Product schema, fill price and rating fields, and recover the impression share you have been leaving on the table.
You're building a headless CMS or static site and need a fallback schema.org block for every route generated at build time.
Generate the JSON-LD once, drop it into your template, and let your build pipeline emit valid structured data on every new post.
You publish 3 posts a week and want each one to be eligible for AI Overview citations without hand-writing JSON.
Paste a URL, let AI draft the Article + FAQPage schema, edit one or two fields, copy, ship. Under 90 seconds per post.
Related glossary terms
Want a deeper dive? These glossary entries explain the concepts behind this tool.
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.
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