Schema Markup Generator
Generate JSON-LD schema markup for articles, FAQs, products, local businesses, and organizations.
Schema inputs
Generated JSON-LD
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Schema Markup Generator",
"description": "Generate JSON-LD schema markup for common SEO page types.",
"author": {
"@type": "Organization",
"name": "HelloGrowthCRM"
},
"mainEntityOfPage": "https://hellogrowthcrm.com/tools/schema-markup-generator",
"url": "https://hellogrowthcrm.com/tools/schema-markup-generator"
}About schema markup
What does this tool do?
Builds JSON-LD structured data for common page types so you do not need to hand-write schema from scratch.
Why does it matter?
Structured data helps search engines interpret your page more clearly and supports technical SEO workflows at scale.
Definition
Schema markup is machine-readable structured data added to a webpage to clarify the type and meaning of its content.
Assumptions
- The values should match the visible content on the page where you plan to place the markup.
- Using schema does not guarantee a rich result, but it improves the clarity of your page data.
How do you interpret your results?
Copy the generated JSON-LD and place it in your page template or CMS field, then validate it in your preferred schema testing workflow.
How can you improve your numbers?
Keep data consistent
Make sure page names, descriptions, prices, and FAQ content match what users actually see on the page.
Choose the right type
Use the schema type that best matches the primary purpose of the page instead of combining unrelated markup.
What the Schema Markup Generator does
The Schema Markup Generator builds JSON-LD for five types: Article, FAQPage, Product, LocalBusiness, and Organization. The form changes with the type you select - Article asks for an author, Product for brand and price, LocalBusiness for address and phone, Organization for profile URLs, and FAQPage for question and answer pairs entered one per line separated by a pipe character. The markup updates live and copies to your clipboard with one button.
Hand-written structured data breaks quietly. A trailing comma, a missing context declaration, a nested object with the wrong type - none of these throw an error, they just mean the markup is ignored and nobody finds out. Generating the block from a form removes that entire class of problem and hands you a valid object to paste into a template or a CMS field, which is usually the slow part of a technical SEO task rather than the difficult part.
It produces markup and nothing else. It does not insert the script into your page, validate it against a testing tool, check that the values match what a visitor can see, or guarantee any rich result. Which schema types produce enhanced listings changes over time, so check current search engine documentation before relying on any particular type. Placement, validation, and accuracy all remain manual steps you have to perform.
How to use the Schema Markup Generator
Choose the type that matches the page's main purpose
One type per page, matched to what the page actually is. An article gets Article; a service business homepage gets LocalBusiness or Organization. Stacking unrelated types onto one URL creates contradictions rather than extra coverage.
Fill in the fields the type reveals
The form swaps fields as you change type: author for Article, brand and price for Product, address and phone for LocalBusiness, profile URLs for Organization. Only fill in what you can match to something visible on the page.
Enter FAQ pairs one per line
For the FAQPage type, write each entry as the question, a pipe character, then the answer. Lines missing either half are skipped silently, so count the entries in the output against what you typed.
Copy the generated JSON-LD
The copy button puts the whole block on your clipboard. Wrap it in a script tag with the type set to application slash ld plus json when you paste it into your template or head section.
Validate before you trust it
Run the published page through a structured data testing tool before you consider the task finished. The generator guarantees well-formed JSON; it cannot guarantee that the values inside it are correct for your page, or that the type you chose is the right one for it.
How to read your results
The output is judged on one thing: whether every value in it is also true and visible on the page. A price in Product markup that differs from the price on screen, an address in LocalBusiness that does not match your footer, an author credited nowhere on the page - each is a contradiction between what you tell a crawler and what you show a reader. Read the generated block field by field against the live page before shipping it.
The common mistake is treating schema as a ranking lever and adding as much of it as possible. Structured data describes a page; it does not improve one. Marking up a thin page with detailed Product data does not make it a better result, and marking up content that does not exist on the page is the kind of mismatch that gets markup ignored entirely. Add the type that describes what the page genuinely is, and stop.
Real-world examples
A local trades business adding LocalBusiness markup for the first time
The owner had been quoted a day of developer time for it. Filling in name, description, phone, and address produced a valid block in two minutes, and the remaining work was pasting it into the site template and checking the address matched the footer exactly - which it did not, and that was the more useful finding.
An agency standardising Article markup across a client's blog
Each post had been marked up by whoever built it, with three different shapes in circulation and one of them malformed enough to be ignored entirely. Generating a single canonical block and templating it, with headline and description pulled from CMS fields, replaced the inconsistency with one pattern anybody on the team could check.
A SaaS marketer preparing an Organization block
The real gain was the profile URL list rather than the markup itself. Collecting every official account in one place surfaced two abandoned profiles nobody had thought about in over a year, one of them still carrying an old brand name. Those were closed rather than published as part of the block.
Schema Markup Generator — frequently asked questions
Quick answer
What is schema markup?
- Does this generator produce JSON-LD