Free FAQ Schema Generator
Turn any set of questions and answers into clean, valid FAQPage JSON-LD structured data. Built for the AI-search era. Help AI engines like ChatGPT, Perplexity, Google AI Overviews and Gemini to parse and cite your answers.
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Use cases for Omnia's FAQ Schema Generator
Get your answers cited by AI engines: ChatGPT, Perplexity, Google AI Overviews, and Gemini lean on clean, structured Q&A when they answer questions. FAQPage schema hands them your answers in a format they can lift and attribute, so your brand shows up in the response instead of a competitor's.
Mark up SaaS pricing and product pages: Turn the "how much does it cost," "is there a free trial," and "which integrations do you support" questions on your pricing and product pages into structured data that search and AI engines can read precisely.
Structure help center and support pages: Give your documentation machine-readable markup so AI assistants surface accurate answers about your product instead of guessing.
Add FAQ blocks to blog posts and guides: Wrap the common questions at the end of an article in FAQPage schema to reinforce topical depth and feed AI engines clean Q&A tied to your content.
Enrich ecommerce product and category pages: Convert product questions like sizing, shipping, and returns into structured data that clarifies your listings for both search and AI.
Roll it out across client sites: Agencies can generate valid FAQ schema in seconds for every client page, no dev ticket, then track whether AI engines actually start citing them with Omnia.
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Frequently Asked Questions
FAQ schema (FAQPage structured data) is JSON-LD code that marks up a list of questions and answers on a page. It tells search engines and AI assistants exactly which text is a question and which is its answer, so they can read, display, and cite your FAQ.
It is a free tool that turns your questions and answers into valid FAQPage JSON-LD without writing code. Type your Q&As or paste a URL to pull them from an existing page, then copy the generated schema and add it to your site. Everything runs in your browser, with nothing stored.
FAQ schema gives search and AI engines clean, machine-readable Q&A they can extract and attribute to your site. It clarifies your content structure, improves your chances of showing up in AI answers, and historically powered FAQ rich results in Google.
Generate the FAQPage JSON-LD above, then paste it inside a script tag in your page's <head> (it also works in the body). Publish the page, and the next time search and AI engines crawl it, they can read your FAQ.
You have three options: paste the JSON-LD into a Custom HTML block, add it through a headers-and-footers plugin, or use an SEO plugin like Yoast or Rank Math, both of which include a built-in FAQ block that outputs the schema for you.
In Webflow, paste the code into Page Settings, Custom Code (before </body>) or an Embed element. In Shopify, add it to your theme.liquid or the relevant template. In Google Tag Manager, create a Custom HTML tag with the script and fire it on the target page.
Partly. Google removed FAQ rich results for most sites in 2023, so you will not get the old expandable snippet unless you are a well-known health or government site. But the markup still works as structured data that AI engines and search crawlers use to understand your answers.
Yes, and that is now its main value. AI engines like ChatGPT, Perplexity, Google AI Overviews, and Gemini favor clean, structured question-and-answer content. FAQPage schema hands them your answers in a format they can lift and cite, which is the core of answer engine optimization (AEO).
Partly. Google removed FAQ rich results for most sites in 2023, so you will not get the old expandable snippet unless you are a well-known health or government site. But the markup still works as structured data that AI engines and search crawlers use to understand your answers.