Generate schema.org JSON-LD markup for Articles, FAQ pages, Products, Local Businesses, HowTo guides, and Breadcrumbs. Copy the code and paste it into your page head.
Pick a schema type first, since the form fields change to match what that type requires — an Article asks for an author and publish date, a Product asks for price and availability, a LocalBusiness asks for an address and opening hours. Fill in only what's actually true of the page; leaving optional fields blank is safer than inventing placeholder values, since inaccurate structured data can trigger a manual action if Google judges it misleading.
FAQPage schema deserves special attention if your goal includes AI visibility, not just classic search. AI answer engines are far more likely to lift a direct quote from a page that has marked up its questions and answers explicitly than to extract the same Q&A pairs from unstructured prose. If a page already has a visible FAQ section, this is close to a five-minute addition with an outsized payoff.
Once generated, paste the output inside a <script type="application/ld+json"> tag in the page's <head>, or wherever your CMS/template injects head scripts. Always validate the result with Google's Rich Results Test before publishing — a single mistyped property name can silently invalidate the entire block, and JSON-LD fails closed: a broken schema block doesn't get a degraded rich result, it gets none.
For multi-page sites, BreadcrumbList schema is worth generating for every page, not just your highest-priority ones — it's cheap to produce and reinforces the same site hierarchy described in our internal linking guide.
JSON-LD is a way of embedding machine-readable metadata in your page so search engines (and AI systems) can understand its content. It's the format Google recommends for all schema.org markup.
Use Article for blog posts, FAQPage for Q&A content (great for AI citations), Product for e-commerce, LocalBusiness for location pages, HowTo for step-by-step guides, and BreadcrumbList on every page for clear site structure.
Structured data doesn't directly boost rankings, but it enables rich results (star ratings, FAQ dropdowns, HowTo steps) that increase click-through rates. FAQPage schema also makes pages more likely to be cited by AI answer engines.
Schema type
JSON-LD Valid schema.org
<script type="application/ld+json">
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "How to Build an SEO-Friendly Blog",
"image": [
"https://sluggenius.com/og.png"
],
"datePublished": "2026-06-11",
"author": {
"@type": "Person",
"name": "Joshua Cruz"
},
"publisher": {
"@type": "Organization",
"name": "SlugGenius"
},
"mainEntityOfPage": "https://sluggenius.com/blog/seo-blog"
}
</script>Paste this into your page's <head>. Test in Google's Rich Results Test before publishing.
Build valid JSON-LD structured data for rich results and AI citations — no coding required.
Select from Article, FAQPage, Product, LocalBusiness, HowTo, or Breadcrumb.
Enter your headline, author, URL, and any other required schema properties.
Get a valid, Google-ready structured data snippet in one click.
Add the script tag and test with Google's Rich Results Test before publishing.
Schema.org JSON-LD is the language search engines use to understand page content beyond keyword matching. Adding structured data does not directly boost your raw rankings, but it unlocks rich results — FAQ dropdowns, star ratings, HowTo steps, breadcrumb trails — that dramatically increase the visual footprint of your listing in search results. Rich results consistently earn higher click-through rates than plain blue links, which indirectly reinforces your rankings over time.
FAQPage schema has become one of the most valuable schema typesfor modern SEO and GEO. AI answer engines like Google AI Overviews, ChatGPT, and Perplexity are designed to extract direct question-and-answer pairs from content. Pages with FAQPage JSON-LD are significantly more likely to be directly quoted in AI-generated answers, because the structured data makes the Q&A relationship machine-readable. If you publish any educational or informational content, FAQPage schema should be on every page.
Article schema signals publishing authority. IncludingdatePublished,author, andpublisher properties tells Google when content was written and who created it, strengthening E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness). For competitive informational queries, Article schema with clear author attribution is one of the most practical markup additions you can implement today.