Use Marcitors' FREE FAQ Structured Data Generator to seamlessly create valid JSON-LD markup containing all required properties. Ideal for enriching your Q&A content and making it rich result–ready!
FAQ Page Configuration
Question #1
Add questions and answers to generate schema
Your code will appear here
Quick Guide
Show questions directly in search results
Increase click-through rates with enhanced listings
Optimize for voice assistants and AI answers
FAQ Schema is a type of structured data markup (based onhttps://schema.org/) that helps search engines understand frequently asked questions and their answers on your webpage.
When you add FAQ Schema in JSON-LD format, Google and other search engines can display your questions and answers directly in the search results as rich snippets.
For example:
In short: FAQ Schema = FAQs + Structured Data → Rich Snippets + More Traffic
Adding FAQ schema can make your results eligible for rich snippets in Google, where questions and answers are displayed directly in the search results. This takes up more SERP real estate and attracts clicks.
When users see detailed FAQs under your listing, they’re more likely to click your result instead of a competitor’s. This directly improves traffic without changing rankings.
FAQ schema is structured in a way that makes it easier for AI search (SGE, ChatGPT, Perplexity, Gemini) and voice assistants to fetch and quote your answers — boosting brand authority.
FAQs answer common customer questions upfront, reducing bounce rates and making content more user-friendly. This is especially helpful for ecommerce, SaaS, and service websites.
With tools like Marcitors’ Free FAQ Schema Generator, you don’t need coding knowledge — just input your questions and answers, copy the JSON-LD code, and validate it.
By addressing real user questions clearly and factually, FAQs strengthen your site’s Expertise, Experience, Authoritativeness, and Trustworthiness in Google’s eyes.
Adding FAQ Schema doesn’t have to be complicated. With Marcitors’ Free Schema Generator, you can create valid JSON-LD code in just a few
steps—no coding required.
Select FAQPage as the schema type from our generator. This tells search engines that your content contains multiple questions and answers.
Fill in the fields with your questions and their corresponding answers.
For example:
Click “Generate Code” and our tool will instantly create Google-compliant JSON-LD markup for your FAQs.
Copy the code and test it using Google’s Rich Results Test or theschema.org validator to ensure there are no errors.
Paste the generated JSON-LD code into the <head> or <body> section of your webpage (before the closing </body> tag).
Once live, Google may begin showing your FAQs directly in search results. Over time, this can:
Pro Tip from Marcitors: Regularly update your FAQs to reflect customer queries, industry changes, and trending questions. Fresh FAQ Schema improves your chances of being featured in Google’s AI answers.
A FAQ Schema Generator is a tool that helps you create structured data markup (JSON-LD) for Frequently Asked Questions. Instead of writing code manually, you simply enter your questions and answers, and the tool generates error-free schema that can be added to your website.
Using a generator saves time, reduces errors, and ensures your schema follows Google’s structured data guidelines. It also helps your FAQs appear as rich snippets in search results, increasing CTR and visibility.
Yes. While schema itself isn’t a direct ranking factor, implementing FAQ Schema can improve your page’s SERP appearance, make your content eligible for rich results, and support AI-driven search visibility (SGE & voice search)—all of which drive more traffic.
No. Our generator is designed for non-technical users. You only need to enter your Q&A pairs, and the tool produces ready-to-use JSON-LD markup that you can copy and paste into your site.
Yes. Marcitors’ FAQ Schema Generator outputs code based on schema.org vocabulary and Google’s structured data guidelines. We recommend testing the code with Google Rich Results Test before publishing.
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