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What structured data does for SEO
Structured data provides explicit clues about the meaning of page content. For example, Recipe markup can identify a recipe’s ingredients and cooking time. Google can use those clues to understand a page and may use eligible markup to create an enhanced search appearance.
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Schema.org is the vocabulary commonly used for this markup. Google’s Search Central documentation—not the full Schema.org vocabulary—sets out which types and properties Google supports for its search features.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteGoogle’s General Structured Data Guidelines put the limitation plainly: “Using structured data enables a feature to be present, it does not guarantee that it will be present.” Eligibility depends on the page, the feature’s requirements, Google’s policies, and its systems. Google also says that even markup passing the Rich Results Test is no guarantee of display.
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Structured data is therefore best understood as a way to communicate page meaning and qualify for documented features, not as a ranking shortcut. Google says a structured-data manual action removes eligibility for rich-result appearances; it does not affect ordinary web-search ranking.
Choose markup that fits the visible page
Start with the page’s actual content, then check Google’s current feature documentation to see whether a supported markup type applies. Google’s gallery includes types such as Article, Breadcrumb, Product, Recipe, Software app, Video, and Organization. Inclusion in the gallery does not mean every marked-up page will receive a special display.
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Use the type-specific documentation to confirm required properties and content policies before implementing anything. Two common site-level examples illustrate why placement and fit matter:
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Google documents WebSite structured data for a site name on the domain or subdomain home page. Site names are not supported at the subdirectory level. The required properties are name and url; alternateName is optional. See Google’s site-name documentation.
Organization markup
Organization structured data on an organization’s home page can help Google understand administrative details and distinguish the organization from others. Google lists no required properties for this type and recommends adding applicable properties. See Google’s Organization markup guidance.
Choose a format your team can maintain
Google supports JSON-LD, Microdata, and RDFa for structured data. It recommends JSON-LD when a site’s setup permits it because the format is generally easier to implement and maintain at scale.
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| Format | Google support | Practical consideration |
|---|---|---|
| JSON-LD | Supported | Google’s recommended option when suitable; typically easier to manage separately from visible page markup. |
| Microdata | Supported | Can be a fit when the site’s existing templates or CMS already use it. |
| RDFa | Supported | Can be a fit when it is already part of the site’s implementation. |
These formats are alternatives for expressing structured data, not different levels of eligibility. Choose based on what your CMS or codebase can emit accurately and keep consistent with the page.
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How to add schema markup and validate it
- Identify the page’s visible content. Pick the most relevant Google-supported feature for what the page actually contains rather than adding types merely because they are available.
- Check the feature requirements. Read the type-specific Google Search Central documentation for required properties, eligibility, and content policies.
- Implement the markup. Use JSON-LD if it fits your setup; Microdata and RDFa are also supported. A CMS setting or plugin may be appropriate if it produces accurate, page-specific data and gives editors enough control.
- Keep the data aligned with the page. Mark up relevant information readers can see, and ensure the page is crawlable by Googlebot. Do not block it with robots.txt,
noindex, or access controls if you are seeking rich-result eligibility. - Test the deployed URL. Use Google’s Rich Results Test for supported features. Google recommends testing a URL because JavaScript behavior can differ in the code-input test.
- Check unsupported features in the rendered page. If the Rich Results Test does not cover the feature, inspect the rendered HTML to confirm the markup is present.
- Monitor after launch. Use relevant rich-result reports in Search Console and URL Inspection where available. Recheck after CMS, plugin, or template changes that could alter generated markup.
What validation can—and cannot—tell you
A test can catch many technical problems, such as missing required properties or markup that the tool cannot parse. A pass does not prove the page is truthful, useful, policy-compliant, eligible in every respect, or selected for a search appearance. Google’s policies also prohibit marking up hidden content, fake reviews, irrelevant information, or claims that misrepresent a person or organization.
Keep structured data current, complete for the feature you are targeting, specific to the page, and placed on the page it describes unless the feature documentation says otherwise. Automated checks should be paired with a review of whether the markup accurately represents what visitors see.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.When a CMS plugin or custom code makes sense
A CMS-integrated setting or plugin can reduce manual work, while custom code can provide finer control. Neither approach is inherently better: assess whether the implementation emits accurate data for each page, allows editorial oversight, avoids duplicate or conflicting markup, and can be tested and monitored after updates.
Google can process JSON-LD added dynamically when it appears in the rendered page DOM. If a CMS or script generates markup, check the deployed page rather than assuming the source template or editor preview reflects what Google can access. Google explains the relevant JavaScript behavior in its JavaScript structured data guidance.
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Sources and changing feature requirements
Google’s introduction to structured data explains formats, vocabulary, implementation, and testing. Its General Structured Data Guidelines cover eligibility, accuracy, access, and policy requirements; that page was last updated July 10, 2026. The supported structured data gallery lists Google Search features and their documentation. Because the gallery and individual eligibility rules can change, check the current requirements for the feature you plan to implement.
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