Generate schema AI engines understand
Structured data tells AI answer engines and search what your page is, who you are, and what questions it answers. Pick a type, fill the fields, and copy ready-to-paste JSON-LD. No signup, runs entirely in your browser.
Paste this inside a <script type="application/ld+json"> tag in your page’s head, or let a plugin output it. Validate with Google’s Rich Results Test.
Schema can help machines interpret a page, but markup alone does not guarantee an AI citation. On WordPress, CiteTrack AI can add supported FAQ and entity schema as reversible page improvements, then track subsequent citation results.
Why schema matters for AI search
Structured data is a small block of code that spells out, in a format machines read perfectly, what a human would have to infer from your page. It says “this is an Article by this author, published on this date,” or “these are the questions this page answers and here are the answers.” For classic search it powers rich results. For AI answer engines it does something even more useful: it removes the guesswork. When an engine can parse exactly what your page is and trust who published it, you become an easier, safer source to cite.
That is why schema shows up as a core check in almost every AI-readiness audit. FAQ markup gives engines clean question-answer pairs to match against the questions people ask. Organization markup helps them resolve you as a real entity rather than an anonymous URL. Article markup carries the author and freshness signals that generative search leans on. This generator produces all of them, correctly formatted, so you do not have to write JSON-LD by hand or risk a syntax error that makes the whole block invalid.
The four types, and when to use each
FAQPage
Use it on any page with a genuine question-and-answer section. It is the highest-leverage schema for AEO because the questions you mark up are often the exact ones people type into AI. Only mark up FAQs that are actually visible on the page.
Article
Use it on blog posts and guides. It carries the headline, author, and published and modified dates, the freshness and authorship signals that help an engine decide your content is current and credible.
Organization
Use it once, typically on your home or about page. It establishes your brand as an entity with a name, URL, logo and social profiles, which strengthens trust everywhere your brand is mentioned.
HowTo
Use it on step-by-step instructional content. It breaks a process into ordered steps a machine can lift directly into an answer, which makes how-to pages especially citable.
How to use the output
Fill in the fields and copy the generated JSON-LD. Paste it inside a <script type="application/ld+json"> tag in the page’s head, or add it through your SEO plugin or theme. Then run the page through Google’s Rich Results Test to confirm it is valid. One rule matters above all: only mark up content that genuinely appears on the page. Schema that describes things a visitor cannot see is a guideline violation and can hurt you. Used honestly, it is one of the cleanest ways to make a page more legible, and more citable, to AI.
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Frequently asked questions
What is JSON-LD schema markup?
JSON-LD is a small block of structured data you add to a page that tells search engines and AI exactly what the page is, an article, an FAQ, an organization, a how-to. It is the format Google and AI answer engines prefer.
Does schema help with AI search?
Yes. Structured data removes guesswork for AI answer engines: FAQ markup gives them clean question-answer pairs, Organization markup resolves you as a trusted entity, and Article markup supplies authorship and freshness. It is a core AI-readiness signal.
Where do I put the generated code?
Paste it inside a <script type="application/ld+json"> tag in your page’s <head>, or add it through your SEO plugin or theme. Then validate with Google’s Rich Results Test.
Is the schema generator free?
Yes, free with no signup. Everything runs in your browser; nothing you type is sent anywhere.
Can schema get me penalised?
Only if you mark up content that is not actually visible on the page. Mark up real, on-page content and you are following the guidelines. This tool produces valid markup; honesty about the content is up to you.
How does CiteTrack AI use schema?
On WordPress, CiteTrack AI can add supported FAQ and entity schema as reversible page improvements, then track later citation runs. That shows whether the observed result changed; it does not prove that schema alone caused the change.
Stop guessing whether AI recommends you.
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