SCHEMA MARKUP GENERATOR FOR JSON-LD, FREE AND CHECKED AGAINST GOOGLE’S RULES

SAY WHAT THE PAGE IS. In a language Google doesn’t guess at.

Need a schema markup generator that gives you clean JSON-LD without a plugin or a developer? You’re in the right place. Pick a type, fill in the form, and the tool shows you what Google still needs before you copy the code.

GOOGLE’S AI GUIDEAI SEARCH
Google’s guide to its generative AI features says structured data isn’t required for AI search, and there’s no special schema.org markup to add. It still recommends structured data, because it helps a page qualify for rich results.
SPECIAL SCHEMA THAT AI SEARCH NEEDS0
GOOGLE SEARCH CENTRAL · JULY 2026
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SCHEMA MARKUP GENERATOR for JSON-LD.

FREE · RUNS IN YOUR BROWSER

Pick a type, fill in what you know and copy the JSON-LD. The checklist shows which properties Google's documentation requires and which it recommends. Nothing you type is sent anywhere.

1 · YOUR DETAILS

2 · YOUR JSON-LD


		
		

3 · CHECKLIST

    PASTE THE CODE INTO THE RICH RESULTS TEST, OR VALIDATOR.SCHEMA.ORG, BEFORE IT GOES LIVE.

    Akshit BhasinFOUNDER, AB MEDIA CO LINKEDIN ↗

    WHY I BUILT A SCHEMA MARKUP GENERATOR that tells you what’s missing.

    Have you pasted schema from a plugin, run it through a test and got a wall of warnings you couldn’t make sense of?

    That’s where most people start. The code isn’t the hard part. Knowing which properties Google actually requires is.

    That’s why this schema markup generator checks your JSON-LD against Google’s own structured data documentation while you type. Red means required and missing. Gray means recommended.

    Here’s what I’d keep in mind before you paste anything. Schema describes what’s already on your page, and it can’t add anything a visitor can’t see.

    If your page doesn’t show your address, your local business schema shouldn’t carry one. Google’s own guidance is that structured data should match the visible text.

    A common mistake I see is the same schema copied onto every page of a website, with one rating and one FAQ repeated everywhere. I’d rather see three accurate blocks than thirty copied ones.

    Schema also isn’t an AI SEO shortcut. Google doesn’t guarantee a rich result, even when your markup is valid.

    What schema does well is remove doubt. It tells Google and AI tools which business, product or article a page is about, in a format they don’t have to guess at.

    Use the tool for one page at a time, then test the code in Google’s Rich Results Test before it goes live.

    And if you want my team to check your schema as part of our AI SEO services, alongside your technical AI SEO, that starts with a free mini audit.

    What changes the plan

    WHAT GOOGLE SAYS ABOUT SCHEMA MARKUP
    right now.

    Google changed a lot about structured data in 2025 and 2026. These four facts should decide which schema you add, and which you skip. If you buy AI SEO services, they also show you which schema work is worth paying for.

    01GOOGLE SEARCH CENTRAL, 2025 TO 2026

    Valid schema markup doesn’t guarantee a rich result

    According to Google’s structured data guidelines, correct markup makes a page eligible for a rich result, but Google doesn’t promise one. This means you should test your JSON-LD, then track impressions in Search Console instead of assuming the stars will appear.

    SOURCE: Google Search Central, structured data general guidelines

    02GOOGLE SEARCH CENTRAL, 2025 TO 2026

    FAQ rich results are gone for everyone

    Google stopped showing FAQ rich results on May 7, 2026, and removed the documentation in June 2026. FAQPage is still valid schema.org markup. But if you’re adding FAQ schema only to win extra space on Google, you can skip it. A FAQ schema generator is still useful for help pages where the questions are on screen.

    SOURCE: Google Search Central, documentation updates, May and June 2026

    03GOOGLE SEARCH CENTRAL, 2025 TO 2026

    Google keeps retiring structured data types

    In 2025 Google phased out course info, estimated salary, vehicle listing and four other features, then practice problems in January 2026. That’s why this schema markup generator sticks to types Google still documents: Organization, LocalBusiness, Product, Article and BreadcrumbList.

    SOURCE: Google Search Central, documentation updates, 2025 to 2026

    04GOOGLE SEARCH CENTRAL, 2025 TO 2026

    AI search doesn’t need special schema

    Google’s guide to generative AI features says structured data isn’t required for AI search, and there’s no special schema.org markup to add. It still recommends structured data for rich results. Use schema to describe your business accurately as part of your AI SEO, not to chase AI Overviews.

    SOURCE: Google’s guide to optimizing for generative AI features, July 2026

    SCHEMA MARKUP GENERATOR QUESTIONS, answered straight.

    REAL QUESTIONS, ANSWERED PROPERLY

    What is schema markup, and what does a schema markup generator do?

    Schema markup is code that labels the facts on your page, and a schema markup generator writes that code for you.

    People search for “what is schema markup in seo” and “schema markup meaning” a lot, so here’s the simple version.

    Your page says “Open 10 to 7, Monday to Saturday.” A visitor understands that. Schema markup says the same thing in a fixed vocabulary from schema.org, so Google and AI tools don’t have to guess.

    The code usually sits in a JSON-LD block in your page’s HTML. You can’t see it on the page, but Google reads it when it crawls.

    A free schema markup generator like this one saves you from typing that JSON-LD by hand. You pick a type, fill in a form, and it builds valid structured data with the right @type and nesting.

    Schema is a small part of technical AI SEO, but it’s one you can do yourself today.

    This tool also checks your fields against Google’s documentation. For example, LocalBusiness needs a name and an address, and Product needs a price, a rating or a review.

    But a generator can’t know whether your page actually shows those facts. You still need to check that every value in the code matches what a visitor sees.

    The bottom line: the tool writes the code, and you make sure it tells the truth.

    Is schema markup a ranking factor for AI SEO?

    No, schema markup isn’t a direct ranking factor, but it can still help your AI SEO.

    People search for “is schema markup a ranking factor” and “does schema markup help seo” because agencies often sell it as a shortcut.

    It isn’t one. Some AI SEO services still sell schema as a quick ranking boost, so ask them to show you the Google page that says so.

    Google’s guidelines say valid structured data makes a page eligible for rich results. They don’t say it improves your rankings, and Google doesn’t guarantee the rich result either.

    So where does schema help?

    It removes doubt about what a page is. A product page with Product schema tells Google the name, price and stock in a format it doesn’t have to interpret.

    That can lead to a richer listing, and a richer listing can get more clicks from the same ranking. More clicks on the right keywords can mean more organic traffic and more leads.

    A common mistake I see is schema added to pages that have bigger problems, like thin content or pages Google hasn’t indexed. Schema won’t rescue those.

    If your technical AI SEO and content are in decent shape, schema is a small, cheap win. If they aren’t, fix those first and add schema after.

    Which schema types should my website use?

    Most websites need two or three schema types, not ten.

    Here’s how I’d choose, and this schema markup generator covers each of these.

    Organization schema goes on your homepage or About page.

    It names your business, your logo, your website and your official profiles in sameAs. Google lists no required properties for it, so add what’s true.

    Local business schema goes on each location page.

    People search for “local business schema for multiple locations”, and the answer is one block per location, each on its own page, each with its own address and phone. That supports your local AI SEO and your Google Business Profile.

    Product schema goes on each product page, with a price, availability and a rating if you show one.

    Article schema suits blog posts and guides, with the headline, image, dates and author.

    Breadcrumb schema helps on any website with more than two levels, so Google can show the path to a page.

    What about FAQ schema? Google stopped showing FAQ rich results in May 2026, so it’s optional now.

    Let’s say you run a dental clinic in Pune with two branches.

    You’d add Organization once, LocalBusiness on each branch page and breadcrumbs sitewide. That’s it.

    How do I add schema markup in WordPress or Shopify?

    You paste the JSON-LD from this tool into your page’s HTML, either through a plugin, your theme or a custom code block.

    People search for “how to add schema markup in wordpress” and “how to add schema markup in shopify” more than any other platform, so let’s take those two.

    In WordPress, your AI SEO plugin might already output Organization, Article and breadcrumb schema.

    Check that first, because two Organization blocks with different details can confuse Google. For a page-specific block, use a plugin that lets you add code to the head of one page, or a Custom HTML block in the editor.

    In Shopify, most themes already add Product schema to product pages.

    Look at your theme code before you add more, or you might end up with two Product blocks that disagree on price. You can add extra JSON-LD to a template file or through an app.

    Whichever way you add it, the JSON-LD block from this tool is self-contained. You can copy it as it is.

    Then open the live page, view the source and confirm the code is there once, not twice.

    Here’s what I’d do first: check what your platform already outputs, then fill only the gaps.

    How do I check schema markup before it goes live?

    Test the code in Google’s Rich Results Test, then check the full vocabulary with the Schema Markup Validator.

    People search for “schema markup validator” and “how to check schema markup” right after they generate code, which is the right order.

    Google’s Rich Results Test shows whether your page can get a rich result and which properties it wants.

    You can paste the code from this tool or enter a live URL. It only covers rich results Google still shows, so FAQ markup is better checked elsewhere.

    The Schema Markup Validator at validator.schema.org checks any schema.org type, including ones Google doesn’t use for rich results.

    This schema markup generator runs a first check as you type.

    It flags required properties from Google’s documentation in red, and recommended ones in gray. But it doesn’t replace either test.

    After launch, open Search Console. Its enhancement reports show errors across your whole website, and its Performance report shows whether rich results bring impressions.

    A common mistake is testing once and forgetting it. A theme update or plugin change can quietly break your structured data.

    Schema errors are one of the first things my team checks in a technical AI SEO audit. Good AI SEO services re-test your key templates after each release.

    Check your key pages again after any big website change.

    Should I still use FAQ schema after Google dropped FAQ rich results?

    Only if the questions are visible on the page and you want to describe them accurately, not to win space in Google.

    Google stopped showing FAQ rich results on May 7, 2026. Before that, since 2023, it had shown them only for well-known government and health websites.

    So if an agency still sells FAQ schema as a way to get extra space in the results, you can skip it.

    But FAQPage is still valid schema.org markup. It still describes a set of questions and answers in a structured way.

    That’s why this tool keeps a FAQ schema generator. You might want it for a help page where the questions are real and the answers are on screen.

    If you use it, keep each answer in the JSON-LD the same as the answer a visitor reads. Don’t add questions that only exist in the code.

    And test it with the Schema Markup Validator, because Google’s Rich Results Test is built for rich results Google still shows.

    The bottom line: FAQ content still matters for your visitors and for AI SEO. The FAQ markup is now a nice-to-have, so spend your time on the answers.

    Does schema markup help with AI search, ChatGPT and AI Overviews?

    It can help AI tools understand your pages, but Google says no special schema is needed for its AI features.

    People search for “schema markup for ai search” and “schema markup for aeo” because answer engine optimization and generative engine optimization are new names, and everyone wants a checklist.

    Google’s guide to generative AI features is clear.

    Structured data isn’t required for AI search, and there’s no special schema.org markup to add. It still recommends structured data for rich results.

    What about ChatGPT and other AI tools?

    They don’t publish rules about schema. But consistent facts help any system work out who you are.

    That’s the real job of answer engine optimization and generative engine optimization. Your business name, address, services and prices should be the same on your website, your Google Business Profile and the websites that mention you.

    Organization and LocalBusiness schema are one more place where those facts match. If an AI SEO agency sells you answer engine optimization or generative engine optimization, ask which of your facts it will make consistent, and where.

    Good AI SEO services treat schema as hygiene, not as the strategy. The strategy is content that answers the question and mentions on websites AI tools already trust.

    If you remember one thing: schema confirms your facts, but it can’t create them.

    JSON-LD vs microdata: which schema format should I use?

    Use JSON-LD, which is the format Google recommends and the one this tool writes.

    People search for “schema markup vs structured data” too, so let’s clear that up first.

    Structured data is the general idea. Schema.org is the vocabulary. JSON-LD, microdata and RDFa are three ways to write it.

    Microdata adds attributes to your existing HTML tags. That ties your markup to your design, so a theme change can break your microdata without anyone noticing.

    JSON-LD sits in one separate block. You can add it, update it or remove it without touching your layout.

    That’s why most plugins have moved from microdata to JSON-LD, and it’s why a schema markup generator that outputs JSON-LD is easier to maintain.

    If your website already uses microdata and it validates, you don’t have to rip it out. But don’t describe the same thing twice in two formats, because the values can drift apart.

    When you rebuild a template, that’s a good time to move from microdata to JSON-LD. If you work with AI SEO services, ask them which format your templates use today.

    Pick one format per page, and let JSON-LD be that format.

    When should I pay for AI SEO services instead of using a free schema markup generator?

    When schema is one of many problems on your website, or when you have dozens of templates to mark up.

    A free schema markup generator works well for a small website. You can mark up your homepage, a few location pages and your key articles in an afternoon.

    It gets harder when you have thousands of product pages, several locations, or a platform that already outputs schema you can’t see.

    At that point, you need someone to fix the templates, not paste blocks page by page. Cheap AI SEO services often paste the same block on every page instead.

    That’s where AI SEO services come in. A good AI SEO agency looks at schema alongside technical AI SEO, local AI SEO, content and backlinks, because schema alone rarely moves your rankings.

    What should you expect from AI SEO services that include schema? A list of templates, the types each one needs, test results before and after, and Search Console data on rich result impressions for your main keywords.

    AB Media Co starts each engagement with a free mini audit. The full audit is ₹30,000 to ₹80,000 by size, adjusted against your first month’s fee, and it covers schema with everything else.

    If your website is small, use this tool and save your budget. If it’s large, talk to us first.

    Is a free schema generator enough for local AI SEO?

    For a single location, a free schema generator covers the markup side of local AI SEO, but the markup is the smallest part.

    Local AI SEO is mostly your Google Business Profile, your reviews and the same name, address and phone on each website that lists you. Schema confirms those facts on your own pages.

    Here’s the order I’d follow.

    Get your Business Profile right first. Then add local business schema with the exact name, address and phone your profile shows.

    Then create a page for each service your customers search for, using the keywords they actually type.

    A schema generator can’t write that service content, and it can’t get you reviews. What it can do is make the facts on your location page unambiguous.

    What should you track?

    Calls, direction requests and leads from your profile and your location pages, not just your position in the Maps pack. Your organic traffic tells you if the service pages are working.

    When does it make sense to pay an AI SEO agency for AI SEO services?

    When you have several branches, or your local AI SEO stalls even though the basics are done. Good AI SEO services will show you which keywords and pages bring leads before they quote you.

    Until then, this schema generator and a complete profile will take you a long way.

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