Schema markup is structured data added to a web page that labels its content for search engines and other software. It describes entities and facts—such as a website, article, or organization—in a form that software can interpret more directly than ordinary page text and HTML.
Schema markup supplements the visible page rather than replacing it. A machine-readable label can identify details such as a headline, author, publication date, URL, or organization identity. Search engines may use eligible structured data for search features, but the label must match the page it describes.
The vocabulary, syntax, and visible page
A schema markup label has two connected parts: a type that identifies the entity and properties that describe it. For example, Article identifies an article, while headline, author, datePublished, and canonical URL describe that article. Choosing the appropriate specific type matters because a generic label can describe too little to match the page’s main content.
Schema.org supplies the vocabulary, while JSON-LD, Microdata, and RDFa are ways to encode that vocabulary on a web page. The generator discussed here focuses on JSON-LD, which places a JavaScript object in a script element. In its output, @context is https://schema.org and @type names the selected entity.
The Schema.org Article definition shows the concepts available for articles, while Google’s structured data introduction explains the guidelines search engines use. These roles are separate: Schema.org defines the terms, while JSON-LD applies those terms to one page.
The strongest use case is a clearer representation of content people can already see. Google’s current guidance calls for structured data that represents the main visible content, uses the appropriate specific type, includes properties required by the relevant search feature, and avoids hidden, irrelevant, misleading, or fabricated information.
Matching a schema type to the page
The type should match the main entity described by the page. Choosing a broader type merely because its fields appear easier to complete can produce a label that does not accurately represent the content.
| Type | Best fit | Core template fields | Optional fields |
|---|---|---|---|
| WebSite | Website-level identity | Name, canonical URL, description | None |
| Article | An individual article | Headline, canonical URL, description, nested Person author name, datePublished in YYYY-MM-DD form | Image URL |
| Organization | Organization identity | Name, URL, description | Logo URL and sameAs URLs |
Use WebSite for a site-level entity and supply a name, canonical URL, and description that are accurate for the destination page. The canonical URL must be absolute rather than a relative path or shorthand reference.
For Article, the author is nested as a Person with a name. The publication date must be a real Gregorian calendar date in YYYY-MM-DD form, not merely a string with the correct digit pattern. An impossible date such as 2026-02-30 is rejected. The accepted value remains a date without an added time or timezone. Publishers needing dateModified, timezone-aware timestamps, multiple authors, or publisher objects should add those properties from accurate source data.
For Organization, logo and sameAs URLs are optional. Enter multiple sameAs URLs one per line; each is validated individually, normalized, and de-duplicated. If an optional image, logo, or sameAs value is blank, the generated object omits that property instead of emitting an empty string.
Generate and add schema markup to a page
The Schema Markup Generator supports a focused workflow for one WebSite, Article, or Organization object. Generation and input validation happen entirely in the current browser tab, but the tool does not inspect the destination page.
- Choose the entity type. Select WebSite, Article, or Organization to reveal the fields for that type.
- Enter visible, accurate facts. Use only information and absolute URLs that are visible and accurate on the destination page. Required text is trimmed and cannot remain empty. URL fields must use absolute HTTP or HTTPS URLs; relative paths, JavaScript URLs, and malformed values fail visibly.
- Complete Article-specific details. Supply the author name and a real publication date. The date must be valid in YYYY-MM-DD form and must represent an actual Gregorian calendar date.
- Inspect the generated object. Confirm that it contains the exact Schema.org context and selected type. Check the nested Person author for Article and any sameAs entries for Organization. Blank optional properties should be absent, while multiple sameAs URLs should remain normalized and de-duplicated.
- Review script-safe output. The tool uses JSON.stringify rather than manual string concatenation. Quotes, backslashes, and line breaks are escaped as JSON data, while less-than signs and JavaScript line-separator characters receive additional escaping so a closing script sequence cannot terminate the JSON-LD element. The generated result is never evaluated as code.
- Copy the script into the relevant page template. The JSON-LD is wrapped as application/ld+json. Confirm that the page’s visible content matches the values in the script before publishing it.
- Validate the published URL. After publishing, test the final URL with Google’s Rich Results Test and inspect Search Console rather than validating only the copied snippet. Review the values alongside the rendered page whenever its content changes materially.
What successful validation means
The generator validates its inputs and produces syntactically valid JSON-LD, but syntax is only one requirement. A clean script can still be ineligible for a search feature or fail to describe the page accurately.
- Syntax and required fields: Local checks catch empty required text, malformed or non-HTTP(S) URLs, and impossible Article dates. They do not confirm every property required by a particular search feature.
- Policy and eligibility: Structured data must represent the main visible content, use a suitable type, and avoid hidden or misleading claims. Search features can change, supported properties can differ from the wider Schema.org vocabulary, and eligibility can depend on requirements outside the generated script.
- Truth and placement: A validator cannot prove that the claims are truthful, current, visible to visitors, or placed on the correct canonical page. The publisher remains responsible for that match.
A validator can confirm syntax and some required properties, but it cannot establish eligibility by itself. Adding structured data does not guarantee a rich result, ranking improvement, indexing, or inclusion in an AI answer. The copied script is a starting point for implementation, not a complete site audit.
Where the focused generator stops
This generator creates one bounded JSON-LD object for WebSite, Article, or Organization. It does not crawl a URL, inspect the destination page, inject code into a site, validate a CMS, or maintain markup after page content changes. Its output is a local text snippet that you review and implement yourself.
It also does not generate Product reviews, LocalBusiness opening hours, Recipe nutrition, JobPosting salaries, Event offers, medical data, ratings, or other higher-risk schemas. For a schema outside the three supported templates, use the official type-specific documentation and add only properties supported by accurate page content.
Because the generator cannot see the destination page, it cannot decide whether the markup matches that page’s main content. It also cannot monitor later edits. A changed headline, author, publication date, canonical URL, description, logo, or other marked-up fact needs a corresponding review of the structured data.
Maintaining page-to-markup consistency
Treat schema markup as a synchronized representation of the rendered page. Review generated values beside the published content after every material update, and update the script when those visible facts change. The JSON-LD should make an existing page easier to interpret without introducing claims that visitors cannot verify.
For a site-wide WebSite label, check the relevant site template and canonical URL. For Article or Organization labels, confirm that the object appears on the correct page and still represents that page’s primary entity. This review remains necessary even when the JSON-LD passes a syntax validator.
Related reading: What Is Keyword Density? Math, Meaning, and SEO.