FAQ schema is structured data, usually written in JSON-LD, that marks a block of content as a question and its answer. It lets a machine read the pair directly instead of trying to work out which text is the question and which is the response.

Does FAQ schema get my page cited in AI answers?

No. It makes your questions and answers easier for an engine to read and reuse accurately, which helps readiness. It does not force any engine to surface or cite you. A clean Q and A pair is an input, not a guarantee.

Will Yoast or Rank Math add FAQ schema for me?

They can add it where you use their FAQ blocks, and they do that well. They do not check that every relevant page has it, or that the labeled answer still matches the visible answer after you edit the page.

← Back to glossary

Glossary · 2 min read

FAQ schema

Structured data that labels a question and its answer as a question and its answer, so a machine reads the pair as a fact instead of inferring it from the page layout.

You wrote a clean question and a clean answer. Then you trusted a machine to figure out which was which from the way they sit on the page. FAQ schema removes that guess.

What FAQ schema is

FAQ schema is structured data that labels a question as a question and its answer as its answer. Instead of a machine inferring the pairing from headings and spacing, the page states it outright.

It is usually written in JSON-LD, a small block in the page code. The reader is not a person scanning your page. It is an engine looking for clean facts it can lift and reuse.

Why engines lean on it

A question and answer in plain text is something an engine has to interpret. Is this heading a question. Is the paragraph below it the full answer, or does the answer continue. Labels settle that.

When the pairing is explicit, an engine can reuse your exact answer with less risk of stitching the wrong text together. That is the whole value: less guessing, more fidelity to what you actually wrote.

The old way and the new way

The old way added FAQ schema to chase a rich result in Google search, a row of expandable questions under your listing. Then Google pared those back, and a lot of people stopped caring.

The new way treats FAQ schema as a way to hand an engine pre-formed answers in your own words. The goal is no longer a search decoration. It is being read accurately by the systems that now write answers.

The damaging admission

FAQ schema goes stale the moment your answer changes. You update the visible text, leave the markup behind, and now a machine is reusing an answer you have already revised.

It can also be wrong from the start: marked-up questions that do not match the visible ones, or answers padded with marketing the page does not show. Present is not the same as correct, and a confidently labeled wrong answer is worse than none.

How to check yours

Pick a page with FAQs and ask three things. Is there FAQ schema at all. Is it valid. Does each labeled answer match the answer a reader actually sees.

Run a free scan on any URL to see whether an engine finds your FAQ schema, whether it validates, and where it disagrees with the page. When you are ready to add it, follow the guide to add FAQ schema in WordPress.

See whether your FAQ schema is present and valid, free.

Run a free scan. No signup. You get a readiness score and the gaps to fix, in about a minute.

Run a free scan How it works