Schema Markup Generator — JSON-LD Structured Data | Rabbit SEO

Short answer

Schema markup turns business and page details into structured data for search engines. In Rabbit SEO, generation happens inside the Optimization fixer — not as a standalone public form. Supported JSON-LD types: Organization, LocalBusiness, FAQPage, Product, WebPage, Service, and Breadcrumb (plus QAPage detect). After you approve, JSON-LD is added to the page head when approved; injection is skipped when that type is already present, when applicable. Review suggestions in the product before publish; this is not Google’s Rich Results Test.

Who the schema generator is for

For site owners who want valid structured data without hand-writing JSON-LD.

Small business website owners
Local businesses with a storefront
Online stores adding Product schema
Service providers describing offerings
Content teams building FAQ pages
Non-technical users avoiding raw code

Schema types Rabbit SEO generates

Rabbit SEO focuses on the structured data types that most sites actually use, with required and optional fields for each.

Schema type	Typical required fields	Common optional fields
`Organization`	`name`, `url`	`logo`, `sameAs`, `contactPoint`
`LocalBusiness`	`name`, `address`	`telephone`, `openingHours`, `geo`, `priceRange`
`WebPage`	`name`, `url`	`description`, `breadcrumb`, `primaryImageOfPage`
`Service`	`name`, `provider`	`areaServed`, `serviceType`, `description`
`Product`	`name`, `image`	`description`, `brand`, `offers`, `sku`
`FAQPage`	`mainEntity` (Question + acceptedAnswer)	additional question/answer pairs
`BreadcrumbList`	`itemListElement` (position, name, item)	additional breadcrumb levels

Rabbit SEO can also detect QAPage-style question-and-answer content so you can mark it up appropriately. Field requirements follow the schema.org and Google structured data guidance; the optimizer flags missing required fields before you publish.

The generation workflow: inputs to outputs

Generate JSON-LD in the optimizer, review in product, then approve to upsert into the page head.

Choose a type & enter details

Pick a schema type and provide the inputs — such as business name, address, or product details — that describe the page.
Generate JSON-LD

Rabbit SEO builds JSON-LD structured data from your inputs, mapping them to the correct schema.org properties.
Review in product

Edit and review the markup in schema optimizer before publish. Confirm required fields and that values match visible content. This is not a built-in Google validator.
Approve & publish

Once you approve, JSON-LD is added to the page head when approved (skipped if that type is already present when applicable).

Input (what you provide)	Output (what you get)
A chosen schema type and its field values	Generated JSON-LD mapped to schema.org properties
Edits and corrections in the optimizer	Reviewed markup ready for approval (not Google Rich Results Test)
Your approval to publish	JSON-LD installed in the page head via platform integration

Example: business info to JSON-LD

Here's how LocalBusiness inputs map to an abbreviated JSON-LD output.

Example input

Type: LocalBusiness
Name: Sunrise Bakery
Address: 120 Main St, Denver, CO
Phone: +1 303-555-0142
Hours: Mon–Sat 7:00–18:00
URL: sunrisebakery.com

Example JSON-LD output (abbreviated)

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Sunrise Bakery",
  "url": "https://sunrisebakery.com",
  "telephone": "+1-303-555-0142",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "120 Main St",
    "addressLocality": "Denver",
    "addressRegion": "CO"
  },
  "openingHours": "Mo-Sa 07:00-18:00"
}

Common schema errors

Mismatched visible content — markup that describes information not actually shown on the page.
Missing required fields — leaving out properties a type needs, so it can't be interpreted correctly.
Duplicate or conflicting types — two competing blocks describing the same entity in different ways.
Wrong type for the page — for example Product schema on a page that isn't a product.

The schema optimizer helps you catch these before publishing.

Realistic expectations

Valid schema does not guarantee rich results — Google decides whether to show them.
Structured data helps search engines understand a page; it does not improve rankings on its own.
Markup should always reflect real, visible page content — not added just to earn features.
Rich result eligibility depends on Google's own guidelines for each schema type.

Frequently Asked Questions

Which schema types can Rabbit SEO generate?

Inside the Optimization fixer (not a standalone public form), Rabbit SEO generates JSON-LD for Organization, LocalBusiness, FAQPage, Product, WebPage, Service, and Breadcrumb, and can detect QAPage-style content.

What format is the structured data output?

The output is JSON-LD, the format Google recommends for structured data. It is placed in the page head so search engines can read it without changing your visible layout.

Can I edit and validate the schema before publishing?

Yes. You edit and review the generated markup in the schema optimizer inside the Optimization fixer. Nothing is published until you approve it. Review in product before publish — Rabbit SEO does not ship a built-in Google Rich Results Test / validator UI.

Where is the schema markup installed on my site?

After approval, JSON-LD is added to the page head when approved via the platform integration. Injection is skipped when that schema type is already present, when applicable.

Does valid schema guarantee rich results in Google?

No. Valid schema makes a page eligible for certain rich result types, but Google decides whether to show them based on its own criteria. Structured data helps search engines understand your content; it does not guarantee rich results or rankings.

Generate structured data with Rabbit SEO

Create valid JSON-LD for your key pages, review it in the schema optimizer, and publish with confidence. Start with a free SEO audit to find your schema gaps.