SEO Savages

SCHEMA JSON-LD

Schema generator

Build valid FAQPage, Article, or Organization JSON-LD in seconds; copy it straight into your <head> and make Google's job easy.

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$ runs in your browser · nothing stored · no signup

● Schema Generator · runs in your browser

scan a page

Enter a URL to detect which recommended schema types the page already emits, and which it's missing. Then generate the missing ones from the page's metadata.

schema type

faq pairs

json-ld output

 
 

Paste the output inside a <script type="application/ld+json"> tag in your page <head>.
      Validate at Google Rich Results Test.

  
 
validate json-ld
 
Paste any JSON-LD block (without the <script> tags) to sanity-check it client-side. Runs as you type.
  
 
 
  
 
What is FAQ schema / JSON-LD?
 
 JSON-LD is the format Google recommends for structured data: a small block of machine-readable JSON
      that describes what's on your page. FAQ schema is one flavour of it: the
FAQPage type, which labels a set of questions and their answers so machines don't have to guess. You're not
      changing what visitors see; you're adding a clean, explicit layer underneath that says here are the questions this page
      answers, and here are the answers. Search engines and AI assistants read that layer to understand your page faster.

 
Which type should I use?
 
     
  • FAQPage: for answer pages: product FAQs, support docs, any page built around questions and answers.
    •  
  • Article: for blog posts and guides: sets headline, author, and dates so the piece is attributable.
    •  
  • Organization: for your homepage: name, logo, and sameAs profile links that define your brand entity.
    •  
 
How to use this generator
 
     
  1. Pick a type: FAQ, Article, or Organization. The FAQ form is prefilled with a real example so the output is valid on load.
    2.  
  2. Fill the fields: the JSON-LD updates live as you type. Empty optional fields are left out automatically.
    3.  
  3. Copy: the Copy button wraps the output in a <script type="application/ld+json"> tag for you.
    4.  
  4. Paste into your <head>: one block per page, then ship.
    5.  
 
Where it goes & how to verify
 

Put the script block in your page <head> (the body works too; Google reads both). Then confirm it before you
      trust it: paste the URL or the raw code into the
Google Rich Results Test.
      It flags syntax errors and tells you which features your markup is eligible for. A valid block beats a clever one.

 
Common mistakes
 
 Don't expect FAQ rich results. This is the big one. Google
deprecated FAQ rich results for most sites in 2023: those expandable Q&A snippets under your blue link
      now show mainly for authoritative government and health domains. For everyone else, adding FAQPage schema today
      is about AI-answer and entity clarity, not blue-link rich snippets. It helps machines (including AI
      assistants) parse your page; it does not hand you a rich result. Anyone telling you FAQ schema gets you rich snippets in 2026
      is selling 2022.

 

The other classics: schema must match visible content. The questions and answers in your markup have to
      actually appear on the page. Don't mark up FAQs that aren't there, and don't fabricate Q&A to game it. Structured data
      that lies about the page is a manual-action risk, not a shortcut. Mark up what's real.

 

Once your markup is clean, see how the page presents in search and AI answers with the
SERP & AI preview. Want this handled end to end? That's AI SEO services.

 
 
 
 
 
  
 
 
 
after the tool
 
 Valid markup. Now make it count in AI answers. 
 
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use them together
 
 The rest of the toolbox 
 

Every tool does one job. Run them together and you cover AI readiness, on-page signals and the
      business case: the whole loop, in your browser, no signup.

 
 
 
AI readiness
 Make sure the engines can reach, parse & cite you. 
 
  
llms.txt Generator
 
List your key pages for AI tools.
 
Open →
  
Schema Generator
 
Valid JSON-LD in one paste.
 
you are here
  
SERP & AI Preview
 
See your snippet before Google does.
 
Open →
  
AI-Bot Access Checker
 
Are you blocking the AI crawlers?
 
Open →
  
 
 
 
On-page & technical
 Tighten the signals on every page and across markets. 
 
  
Hreflang Generator
 
Tell Google which language is which.
 
Open →
  
robots.txt Generator
 
Build a robots.txt without guessing.
 
Open →
  
Meta & OG Checker
 
See your snippet + social card.
 
Open →
  
 
 
 
Planning
 Make the business case before you spend. 
 
  
SEO ROI Calculator
 
Put a number on the upside.
 
Open →
  
Migration Cost Calculator
 
What a site migration should cost.
 
Open →
  
 
 
 
  
 
 
questions
 
FAQ
 
 
  What is FAQ schema? 
+
  
FAQ schema is structured data (JSON-LD using the FAQPage type) that labels a list of questions and answers on a page so machines can read them unambiguously. It tells search engines and AI assistants: these are the questions this page answers, and here are the answers.
 
  Do FAQ rich results still show in 2026? 
+
  
Only in a limited way. Google rolled back FAQ rich results for most sites in 2023, and they now appear mainly for authoritative government and health domains. Adding FAQPage schema to a typical site will not bring back the old expandable Q&A rich snippet. Its value today is AI-answer and entity clarity, not blue-link rich results.
 
  Where do I add JSON-LD? 
+
  
Inside a <script type="application/ld+json"> tag in your page <head> (or anywhere in the body; Google reads both). Paste the generator output between the script tags. One block per schema type per page.
 
  FAQPage vs QAPage? 
+
  
Use FAQPage when you (the site) author both the questions and the answers, like a product FAQ. Use QAPage for user-generated Q&A pages, such as a forum thread where one user asks and others answer. Most marketing and docs pages want FAQPage.
 
  How do I test my schema? 
+
  
Paste the page URL or the raw code into Google's Rich Results Test (search.google.com/test/rich-results) or the Schema.org validator. They flag syntax errors and tell you which structured-data features the markup is eligible for.
 
 
  
 
 
 
 
  
 
 
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