FAQ schema generator

FAQPage is a type from schema.org. It tells a machine that a page contains a list of questions, each with one accepted answer. It is normally written as JSON LD in the page head or body.

Each entry has a question name and an answer text. The generator builds that structure and escapes quotes and line breaks for you, which is where hand written JSON usually breaks.

Markup does not create content. It labels content that already exists. If the questions are not on the page, the markup has nothing to describe, and that is where trouble starts.

Use the generator when a page already has a real FAQ that people can read, and you want the matching FAQPage markup without writing JSON by hand. Typical pages are a service page with five to nine buyer questions, a pricing page with a short list of cost questions, a product page with delivery and returns questions, and a guide that ends with a question block.

Do not use it to create content. The tool labels text that exists. If the questions are not on the page, write and publish them first. Do not use it for a page with a single question, for a forum thread where users supply the answers, or for a block of questions that exist only to carry keywords. Those cases fit other markup types or none at all.

Be clear about the purpose. Google announced a reduction of FAQ rich results on its Search Central blog in August 2023 and has since phased them out. For most business sites the expandable result will not appear. The honest reasons to add the markup are clarity, a clean description of your page for any parser that reads it, and discipline: it forces you to keep the visible FAQ tidy and in sync with the data.

The output is a single object. It declares the schema.org context, sets the type to FAQPage and holds a list called mainEntity. Each list item has the type Question, a name that holds the question text, and an acceptedAnswer of the type Answer with a text property that holds the answer.

That is the minimum Google documents for the type, and the tool adds nothing else. It trims leading and trailing spaces from each question and answer. It keeps the order you set. It skips any item missing a question or an answer. The count line beside the output shows how many complete items made it in, and a valid JSON badge appears when there is at least one.

Answers are stored as plain text. If you paste HTML, the tags remain as characters in the string and are not rendered as formatting. Simple sentences are safest. If your visible answers include a link or a list, the markup may differ slightly from what readers see, and that is a reason to keep answers short and plain.

If your page already has other structured data, such as an Organization or Article block, you can keep them as separate script blocks. You can also place the FAQPage items in the same graph. The generator outputs a standalone block, so merging into a graph is manual.

Google's structured data guidelines say markup must describe content that is visible to users. The FAQ content guidelines add that the whole question and the whole answer should be on the page, and that advertising is not a valid use. Treat the visible text as the master copy and the markup as a mirror.

The simplest control is process. Keep the question and answer text in one place, such as a spreadsheet or the CMS FAQ fields. Generate the markup from that source each time you publish a change. Never edit the JSON by hand without editing the page, and never edit the page without regenerating the JSON.

A common drift happens when a marketing team edits the visible answer to update a price or a timeline, and nobody touches the JSON. The markup then states the old price. Search systems, and people who read the source, see a mismatch. Put a line in your editing checklist: FAQ changed, markup regenerated.

If an accordion hides answers until clicked, the text is still on the page, and that is normally acceptable. Make sure the answer text is in the HTML and is not loaded only after a click that calls a script. Our guide to schema markup for AI search covers more types and the same matching principle.

The generator checks only its own output. It does not read your page, so it cannot confirm that the markup matches what you published. It does not tell you whether the page is indexed, whether the questions are good, or whether your answers are accurate.

FAQ markup does not make an AI engine cite you. Google's documentation on AI features says there is no special schema.org structured data you need to add for AI Overviews or AI Mode, and that pages must be indexed and eligible for a snippet. We have not found OpenAI, Anthropic or Perplexity documentation that makes FAQ markup a condition of citation. What helps more is a crawlable page whose visible answers are clear, specific and true.

It also does not decide which questions matter. Finding them takes research into the prompts buyers type and the follow up questions engines generate. Our guides on researching buyer prompts and answer engine optimization explain how to do that.

Finally, the tool covers one type. HowTo, Product, Article, Organization and LocalBusiness data each have their own rules, and some belong on pages where an FAQ does not.

In Week 3 of the GEO Pilot, we rewrite and restructure up to 10 priority pages to be answer ready. That includes direct answers, headings that match real questions, FAQs and schema, with the markup generated from the final visible text. In Week 2 we also check what structured data your templates already output, so duplicates and mismatches are caught before we add anything.

The Pilot is $999 fixed, one time, delivered inside 30 days, for one domain and one language, on WordPress, WooCommerce, Shopify, custom code or a headless build. We make no promise of rankings, citations or traffic. You can read the scope on the GEO Pilot page, and compare the companion tools: the llms.txt generator and the robots.txt generator.