What is JSON-LD schema markup?

JSON-LD is a structured data format that gives search engines and AI systems machine-readable facts about your pages. It enables Google rich results and helps AI answer engines extract accurate information about your business.

Where do I put the JSON-LD code?

Paste the complete script tag into the head section of the relevant page. Organization schema goes on your homepage, Article schema on blog posts, FAQ schema on pages with Q&A content.

Does schema markup help with AI search?

Yes. AI answer engines use structured data to extract entities and facts when composing answers. It is one of the few technical signals that vendors document as actually used, unlike llms.txt which remains unconfirmed.

How do I validate my schema markup?

Use Google Rich Results Test at search.google.com/test/rich-results or the Schema.org validator at validator.schema.org to confirm your markup is valid.

Schema Markup Generator (JSON-LD)

Generate valid JSON-LD structured data for your website. Structured data helps both Google and AI systems understand your content, and it is worth 6 points on your AI Visibility Score.

Schema Type

Fills the form with a realistic sample so you can see valid output, then edit it.

Your JSON-LD

Install: Paste the whole snippet (including the script tags) into the <head> of the relevant page. Validate with Google's Rich Results Test.

Free schema generator for AI search

This tool builds valid JSON-LD for eight types, including Organization, Article, FAQPage and Product, with no sign-up. As an AI schema generator it follows the markup answer engines actually read; see schema markup for AI for which types to use where. For other free tools, see the tools hub.

Does schema markup help AI citations? What the data says

It correlates strongly. SE Ranking reported that about 65% of pages cited by Google AI Mode and about 71% of pages cited by ChatGPT carry schema markup. That does not prove schema causes citations, but it shows the pages AI engines choose are overwhelmingly the ones that describe themselves in structured data.

Share of AI-cited pages that use schema markup.

Schema only helps a page an AI engine can reach. Before adding JSON-LD, run a free AI crawler check to confirm OAI-SearchBot, Claude-SearchBot, PerplexityBot and Googlebot are allowed.

Which schema type for which page: a comparison

Schema types compared for AI search
Type	Put it on	Key properties AI engines use	Common mistake
Organization	Homepage	name, url, logo, sameAs	Missing sameAs, so the brand entity is not linked to its profiles
Article / BlogPosting	Every post	headline, author, datePublished, dateModified	dateModified never updated after edits
FAQPage	Pages with visible Q&A	mainEntity Question and acceptedAnswer	Marking up questions that are not visible on the page
Product	Product pages	name, offers.price, availability, brand	Price in schema differs from the page
LocalBusiness	Location pages	address, telephone, openingHours	One schema block for many locations
HowTo	Step-by-step guides	step, totalTime	Steps that do not match the page text
BreadcrumbList	Every inner page	itemListElement with position	Positions out of order
WebSite	Homepage	name, url, potentialAction SearchAction	Search URL that returns 404

Example: Article JSON-LD for an AI-citable post

Press "Load example" in the generator above to fill any type with a working sample. This is the Article output with every field AI engines commonly read:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "How to Allow AI Search Bots and Block Training Bots",
  "author": { "@type": "Person", "name": "Jane Doe" },
  "publisher": { "@type": "Organization", "name": "Example Media" },
  "datePublished": "2026-09-01",
  "dateModified": "2026-09-27",
  "mainEntityOfPage": { "@type": "WebPage", "@id": "https://example.com/blog/ai-bots" },
  "image": "https://example.com/img/ai-bots.png",
  "description": "A two-group robots.txt that keeps AI citations and opts out of training."
}
</script>

Validate it in Google's Rich Results Test, then pair it with an llms.txt file and the guide to schema types that help AI search.

Schema markup checklist before you publish

Every value in the JSON-LD is visible on the page. Hidden claims are a policy violation for Google and a trust problem for AI engines.
Dates are real. Update dateModified only when the content changes.
One Organization entity per site, reused by @id, not redefined on every page.
Test crawler access and page directives with the AI crawler diagnostic; a nosnippet directive can hide schema-backed text from AI features.

Pair schema with these free tools

AI crawler checker: tests 248 bots against your robots.txt in one scan.
AI crawler diagnostic: fetches a page as each AI bot and names the layer that blocks it.
robots.txt validator: shows allowed, blocked and partial status per bot.
robots.txt generator: builds a file with presets for search, agents and training.
batch URL checker: compares up to 20 sites side by side, with CSV export.
llms.txt generator: writes the file AI assistants read for a site summary.
GEO audit: scores a page for generative engine optimization.

Schema markup and AI search: common questions

Does schema markup help with ChatGPT and AI Overviews?

It is strongly associated with citation. SE Ranking found about 71% of pages cited by ChatGPT and about 65% cited by Google AI Mode use schema markup. Schema helps engines identify a page; it does not replace crawler access or good content.

Which schema type should I add first?

Organization on the homepage, then Article on every post and FAQPage on pages with visible questions and answers. Those three cover most AI citation use cases.

Why structured data matters for AI search

Structured data (JSON-LD) gives search engines and AI systems machine-readable facts about your pages: who you are, what you sell, what questions you answer. Google uses it for rich results, and AI answer engines use it to extract accurate entities and facts when composing answers.

Our scoring methodology awards 6 of 15 Technical Readiness points for detected structured data because vendors document it as a retrieval signal, unlike llms.txt which remains unconfirmed.

Which schema type should I use?

Organization

Every business site should have this on the homepage. Establishes your brand entity.

Article

For blog posts and news. Helps AI cite you with correct author and date.

FAQPage

Q&A content is heavily used by AI answer engines. One of the highest-impact types for GEO.

Product

For e-commerce. Enables price, availability, and review rich results.