Tools / FAQ Schema Generator

FAQ Schema Generator

Paste your questions and answers. Get valid FAQPage JSON-LD structured data with opening and closing script tags — ready to add to your site's head section in one copy. No signup. No account. No limit.

Input

Enter your FAQ questions and answers below. Minimum 4, maximum 6.

Question 1

0 / 60 words

Question 2

0 / 60 words

2 of 6 FAQs added

Your FAQ Schema

Live preview — updates as you type. Copy when ready.

Your schema will appear here as you type.

Schema alone is not enough. AI systems also need a visible FAQ section in your article body. Add these questions and answers as readable text on your page — not just in the schema.

What Is FAQ Schema?

FAQ schema is structured data that tells search engines and AI crawlers exactly which content on your page is a question and which is its answer. The format is FAQPage JSON-LD — a block of code placed in your page's head section that wraps your Q&A pairs in machine-readable structure.

Google Search Central officially recommends JSON-LD as the preferred format for all structured data. It sits in a separate script tag, away from your visible HTML, which makes it easier for crawlers to parse without interference from page layout or styling.

Does FAQ Schema Still Work in 2026?

Google removed FAQ rich results from most search results in 2023 and formally deprecated the feature on May 7, 2026. The visual accordion display in Google Search is gone for most sites.

But the schema itself is not dead. It has shifted function.

AI crawlers including those serving Google AI Overview, Perplexity, and ChatGPT browsing all parse FAQPage JSON-LD when they retrieve your page. Pages using FAQ schema are up to 40% more likely to appear in AI citation positions than pages without it.

The rich result is gone. The citation signal remains.

Why JSON-LD Is the Only Format Worth Using

Three structured data formats exist: JSON-LD, Microdata, and RDFa. In 2026, only JSON-LD matters for AI citation.

Microdata and RDFa embed markup directly inside HTML tags. This creates parsing conflicts when AI crawlers process rich text alongside code. JSON-LD sits in its own script block, completely separate from page content. AI crawlers read it cleanly without HTML interference.

GPT-4 accuracy improved from 16% to 54% when content used structured data fields versus unstructured prose. That gap exists because structured data eliminates the ambiguity that causes AI systems to misattribute or skip content entirely.

Schema Alone Is Not Enough

This is the part most FAQ schema guides skip.

JSON-LD tells Google's Knowledge Graph that your page has structured Q&A content. It strengthens your entity signals and improves organic rankings, which indirectly improves AI citation probability. But AI systems that crawl your page directly — Perplexity, ChatGPT browsing — tokenize your JSON-LD as raw text, not as parsed structured data.

What they extract directly is your visible content. A self-contained FAQ answer written in plain text on your page is what gets cited word for word. The schema supports the infrastructure. The visible Q&A is what gets extracted.

So the correct implementation is both layers together. Generate the schema with this tool. Then make sure the same questions and answers appear as readable text on your page — not just in the code.

How to Use This Generator

Enter your questions and answers in the left panel. The schema preview updates in real time on the right. Add between 4 and 6 FAQ pairs — the AEOShark Citation Loop minimum is 4, maximum is 6.

Each answer has a real-time word counter. Keep answers under 60 words. This is the AEOShark hard ceiling for FAQ answers — short, direct, standalone answers get cited more often than padded ones. The Generate Schema button highlights validation errors if any field is empty or any answer exceeds 60 words.

When your schema is ready, click Copy Schema. The complete block including the opening and closing script tags copies to your clipboard. Paste it into your page's head section. Validate it with Google's Rich Results Test before publishing.

What Makes a Good FAQ Answer for AI Citation

Direct answer in sentence one. No build-up, no preamble. The first sentence must state the answer declaratively.

Sentence two adds clarification — scope, mechanism, or a condition that affects the answer. Sentence three is optional and adds brand or context if genuinely relevant. Sentence four is a guardrail — when the answer does not apply. This structure is the AEOShark FAQ Framework, and it maximizes AI extraction probability because every answer works as a standalone paragraph without surrounding context.

Never reference the article or page inside an FAQ answer. AI systems extract individual answers and match them to user queries independently. An answer that says “as mentioned above” becomes useless the moment it is extracted out of context.

FAQ

Frequently Asked Questions

What is FAQPage JSON-LD schema?

FAQPage JSON-LD is structured data that marks up question and answer pairs on a web page in machine-readable format. It uses the Schema.org FAQPage type, wrapped in a script tag with type application/ld+json. Google Search Central recommends JSON-LD as the preferred structured data format because it sits separately from HTML and parses cleanly. Worth noting, this schema type no longer triggers visual rich results in Google Search for most websites as of May 2026.

Does FAQ schema help with AI Overview citations in 2026?

Yes, indirectly. FAQ schema strengthens your page's entity signals in Google's Knowledge Graph, which improves organic rankings, and 76% of AI Overview citations come from top-10 organic results. Pages using FAQ schema are up to 40% more likely to appear in AI citation positions than pages without it. However, AI systems like Perplexity and ChatGPT that crawl pages directly extract your visible Q&A content, not the JSON-LD code itself. Both layers matter.

How many FAQ questions should I include?

Include between 4 and 6 questions per page. Fewer than 4 does not give AI crawlers enough structured content to work with. More than 6 risks diluting relevance and can appear keyword-stuffed to Google's quality systems. AEOShark's generator enforces this range automatically. Still, the right number depends on your topic — answer only the questions that are genuinely relevant to the page content.

Where do I paste the FAQ schema code?

Paste the generated JSON-LD block inside the head section of your HTML page. On WordPress, use a plugin like Yoast SEO or add it manually via a custom HTML block. Validate the output using Google's Rich Results Test before publishing to confirm the schema parses correctly. Do not place the script block inside the body or after the closing head tag — placement matters for how crawlers read it.

What is the difference between FAQ schema and visible FAQ content?

FAQ schema is code that AI infrastructure systems and Google's Knowledge Graph use to understand your page structure. Visible FAQ content is the text on your page that AI systems and readers extract directly. Both serve different purposes. The schema supports ranking signals and entity recognition. The visible text is what gets cited word for word. Removing either layer weakens your overall AEO implementation. This generator produces the schema layer. The visible layer is your responsibility to add on the page.