Schema Markup
Generator (JSON-LD)

Generate valid, SEO-complete JSON-LD structured data instantly — 100% free, no signup, no API cost. Paste straight into your page's <head>.

📝 Enter Details
⚡ Generated JSON-LD
<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your Article Title",
  "description": "Your article description",
  "image": [
    "https://example.com/image.jpg"
  ],
  "datePublished": "2026-09-01",
  "dateModified": "2026-09-01",
  "author": {
    "@type": "Person",
    "name": "Author Name"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Your Site Name",
    "logo": {
      "@type": "ImageObject",
      "url": "https://example.com/logo.png"
    }
  },
  "mainEntityOfPage": {
    "@type": "WebPage",
    "@id": "https://example.com/your-article-url"
  }
}
</script>
💡 Paste this inside your page's <head> tag, or use Next.js Script component with type="application/ld+json".
→ Validate this schema with Google's Rich Results Test

Whether you run a blog, an online store, a local service business, or manage SEO for clients, getting structured data right is one of the fastest technical wins available on any website. This page explains what schema markup actually does, who benefits most from adding it, how each of the six supported schema types works, and the most common mistakes that cause valid-looking markup to get silently ignored by Google.

What Is Schema Markup?

Schema markup is a standardized vocabulary of tags (from Schema.org) that you add to your website's code so that Google, Bing, and AI-powered answer engines can understand exactly what a page represents — an article, a product, a local business, a review, or a set of frequently asked questions. It's written as JSON-LD, a small block of structured JSON that sits invisibly inside your page's <head>. Search engines read this data to decide whether your page qualifies for enhanced search features: star ratings under a product link, an expandable FAQ dropdown, a recipe card with cook time, or a byline and publish date under a blog post. Schema doesn't change your rankings directly, but it directly increases how much space and detail your listing gets on the search results page — and that consistently improves click-through rate.

Who Needs a Schema Generator — and Why?

Bloggers & Content Publishers

Use Article schema to show your byline, published date, and featured image directly in search results, which builds trust before a reader even clicks.

E-commerce & Product Sellers

Use Product schema to display price, stock availability, and star ratings right on the search results page — this is one of the highest-impact rich results for click-through rate.

Local Businesses

Restaurants, clinics, salons, and agencies use LocalBusiness schema to power Google's map pack, knowledge panel, and "near me" search results with accurate address and hours.

Developers & SEO Agencies

Generate valid, spec-compliant JSON-LD for client sites in seconds, without memorizing the Schema.org property list for every content type.

Why Use TechVaultAI's Schema Generator?

  • Covers the six most commonly needed schema types: Article, Product, LocalBusiness, FAQPage, BreadcrumbList, and Review.
  • Outputs clean JSON-LD — the format Google explicitly recommends over Microdata and RDFa.
  • 100% free, no signup, no rate limits, and nothing is sent to a paid API — everything runs in your browser.
  • Required fields are pre-filled with realistic placeholders so you can see valid structure even before you finish typing.
  • One-click copy, plus a direct link to Google's Rich Results Test to validate before you publish.

How to Use This Tool

  1. Pick a schema type from the tabs above (Article, Product, LocalBusiness, FAQ, Breadcrumb, or Review).
  2. Fill in the form fields on the left — required fields are marked with an asterisk (*).
  3. Watch the JSON-LD output update instantly on the right as you type.
  4. Click "Copy Code" and paste the script into your page's <head> tag.
  5. Validate the markup with Google's Rich Results Test link below the tool before publishing.

The 6 Schema Types This Tool Generates

Article Schema

Tells Google your page is a news article, blog post, or opinion piece. It carries the headline, author, publish and update dates, and publisher logo — the fields that let Google show a byline card and help establish topical authority for your author.

Product Schema

Carries price, currency, stock availability, condition, and aggregate rating, so a physical or digital product can appear with a price tag and star rating directly in search results.

LocalBusiness Schema

Describes a physical business location — address, phone number, opening hours, price range, and geo-coordinates — the data Google Maps and the local map pack rely on most.

FAQPage Schema

Wraps a list of question-and-answer pairs so Google can display them as an expandable dropdown directly under your search listing, taking up more space on the results page.

BreadcrumbList Schema

Describes the navigation path to a page (Home > Category > Page), which Google often renders in place of the raw URL in the search result — improving both clarity and click-through rate.

Review Schema

Marks up a single review of a product, business, book, movie, or app — including reviewer name, rating, and review date — separate from the aggregate rating used in Product schema.

Common Schema Markup Mistakes to Avoid

  • Marking up content that isn't visible on the page. Google's guidelines require schema data to reflect what a visitor can actually see and read.
  • Using the same Product or Review schema across multiple unrelated pages. Each page needs unique, accurate values.
  • Forgetting to update dateModified after editing an article — stale dates can hurt freshness signals.
  • Leaving required fields with placeholder values like "example.com" or "Your Site Name" in a production deployment.
  • Skipping validation. Always run the output through Google's Rich Results Test before publishing — invalid schema is simply ignored by search engines.

Frequently Asked Questions

Reviewed by the TechVaultAI Editorial Team · Built and maintained to follow the current Schema.org vocabulary and Google's Search Central structured data guidelines. Found an issue with a generated schema type? Let us know.

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