Google Search works hard to understand the content of a page. You can help us by providing explicit
clues about the meaning of a page to Google by including structured data on the page.
Structured data is a standardized format for providing information about a page and classifying
the page content; for example, on a recipe page, what are the ingredients, the cooking
time and temperature, the calories, and so on.
Why add structured data to a page?
Adding structured data can enable search results that are more engaging to users and might
encourage them to interact more with your website, which are called rich results.
Here are some case studies of websites that have implemented structured data for their site:
- Rotten Tomatoes added structured data to 100,000 unique pages and measured a 25% higher click-through rate for pages enhanced with structured data, compared to pages without structured data.
- The Food Network has converted 80% of their pages to enable search features, and has seen a 35% increase in visits.
- Rakuten has found that users spend 1.5x more time on pages that implemented structured data
than on non-structured data pages, and have a 3.6x higher interaction rate on AMP pages
with search features vs non-feature AMP pages. - Nestlé has measured pages that show as rich results in search have an 82% higher click
through rate than non-rich result pages.
How structured data works in Google Search
Google uses structured data that it finds on the web to understand the content of the page,
as well as to gather information about the web and the world in general, such as information
about the people, books, or companies that are included in the markup. For example,
when a recipe page has JSON-LD structured data
(describing the title of the recipe, the author of the recipe, and other details), Google Search
can use that information to display a rich result for the recipe:

Because the structured data labels each individual element of the recipe, users can search
for your recipe by ingredient, calorie count, cook time, and so on.
Structured data is coded using in-page markup on the page that the information applies to.
The structured data on the page describes the content of that page. Don’t create
blank or empty pages just to hold structured data, and don’t add structured data about
information that is not visible to the user, even if the information is accurate. For more technical
and quality guidelines, see the Structured data
general guidelines.
The Rich Results Test is an easy and useful
tool for validating your structured data, and in some cases, previewing a feature in Google Search. Try it out:
Structured data vocabulary and format
This documentation describes which properties are required, recommended, or optional for
structured data with special meaning to Google Search. Most Search structured data uses
schema.org vocabulary, but you should rely
on the Google Search Central documentation as definitive for Google Search behavior, rather
than the schema.org documentation. There are more attributes and objects on schema.org that
aren’t required by Google Search; they may be useful for other search engines, services, tools, and platforms.
Be sure to check your structured data using the Rich Results Test during development, and the
Rich result status reports
after deployment, to monitor the validity of your pages, which might break
after deployment due to templating or serving issues.
You must include all the required properties for an object to be eligible for appearance in
Google Search with enhanced display. In general, defining more recommended features can make
it more likely that your information can appear in Search results with enhanced display.
However, it is more important to supply fewer but complete and accurate
recommended properties rather than trying to provide every possible recommended property with
less complete, badly-formed, or inaccurate data.
In addition to the properties and objects documented here, Google can make general use of the
sameAs property and other
schema.org
structured data. Some of these elements may be used to enable future Search features, if they
are deemed useful.
Supported formats
Google Search supports structured data in the following formats, unless documented otherwise.
In general, we recommend using a format that’s easiest for you to implement and maintain (in most cases,
that’s JSON-LD); all 3 formats are equally fine for Google, as long as the markup is valid and
properly implemented per the feature’s documentation.
| Formats | |
|---|---|
| JSON-LD* (Recommended) | A JavaScript notation embedded in a <script> tag in the <head>and <body> elements of an HTML page. Themarkup is not interleaved with the user-visible text, which makes nested data items easier to express, such as the Country of a PostalAddressof a MusicVenue of an Event.Also, Google can read JSON-LD data when it is dynamically injected into the page’s contents, such as by JavaScript code or embedded widgets in your content management system. |
| Microdata | An open-community HTML specification used to nest structured data within HTML content. Like RDFa, it uses HTML tag attributes to name the properties you want to expose as structured data. It is typically used in the <body> element, but can be used in the <head> element. |
| RDFa | An HTML5 extension that supports linked data by introducing HTML tag attributes that correspond to the user-visible content that you want to describe for search engines. RDFa is commonly used in both the <head> and <body> sections of the HTML page. |
Structured data guidelines
Be sure to follow the general structured data guidelines, as well
as any guidelines specific to your structured data type; otherwise your structured
data might be ineligible for rich result display in Google Search.
Get started with structured data
If you’re new to structured data, check out schema.org
beginner’s guide to structured data. While the guide focuses on Microdata,
the basic ideas are relevant for JSON-LD and RDFa.
Once you’re comfortable with the basics of structured data, explore the list of structured data features in Google Search
and pick a feature to implement. Each guide goes into detail on how to
implement the structured data in a way that makes your site eligible for a rich result
appearance on Google Search.
Measuring the effect of structured data
You probably want to compare performance of your pages with structured data with those pages that
don’t have structured data, in order to decide if it’s worth your effort. The best way to do that
is to run a before and after test on a few pages on your site.
This can be a little tricky, since page views can vary for a single page for various reasons.
- Take some pages on your site that are not using any structured data, and have several months of
data in Search Console. Be sure to choose pages that won’t be affected by the time of year or
timeliness of the page content; use pages that won’t change much, but are still popular enough to
be read often enough to generate meaningful data. - Add structured data or other features to your pages. Confirm that your markup is valid, and
that Google has found your structured data using the
URL Inspection tool
on your page. - Record the performance for a few months in the
Performance report,
and filter by URL to compare performance of your page.
How we apply this
Structured data does not improve rankings; it changes how a result looks and how much of the page a click-through decision can be based on. We set that expectation with clients before implementation so the success measure is click-through rate, not position.
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