⚡ Semantic Markup

Semantic markup is code added to web pages to describe the meaning of content elements and their relationships, giving search engines and other systems clearer context beyond visual layout.

It enables rich search results, social media previews, content embedding, and data reuse, while also improving accessibility by supporting WCAG requirements and helping blind users who rely on screen readers better understand page structure, navigation, and content purpose.

According to our research, semantic markup technologies are used on 74.2% of all websites.
16.1% of these sites use only one semantic markup technology, 17.3% use two, and 66.7% use three or more simultaneously.

Statistics based on 3.8M+ analyzed websites. About this data

⭐ Most Popular in 2026

The following chart shows the leading semantic markup technologies in 2026, based on market share.

The most popular is ARIA with an impressive share of 88%, followed by Open Graph with 74.6% and Twitter Cards with 57.6%.

🚀 Country Highlights

Here is a list of technologies that are especially popular in certain countries.
Differences between global and country rankings are shown in parentheses.

✨ Best Semantic Markup Technologies

Below is a more detailed list of 14 semantic markup technologies we detect, ranked by their market share.

RankNameMarket share
1
ARIA
Cambridge, Massachusetts, United States

A W3C technical specification that defines how to improve the accessibility of web content and applications, particularly those with dynamic interfaces and custom controls.
2
Open Graph
Menlo Park, California, United States

A web metadata standard that defines how webpages are described as structured objects for use in social graphs and enables their consistent representation.
3
Twitter Cards
Bastrop, Texas, United States

A metadata format used by X, originally Twitter, that enables links in posts to display rich previews with images, videos, and interactive media to increase engagement and traffic.
4
JSON-LD
Cambridge, Massachusetts, United States

A lightweight linked data format used to embed structured data into web pages in a machine-readable form.
5
SearchAction
Cambridge, Massachusetts, United States

A structured data type from Schema.org that describes a website's search capability.
6
oEmbed
San Francisco, California, United States

An open format that allows websites to embed representations of external URLs such as videos, images, and posts from third-party services.
7
Microdata
Cambridge, Massachusetts, United States

An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.
8
Microformats
San Francisco, California, United States

Microformats (μF) are a set of standardized HTML class names and attributes used to embed descriptive metadata within existing page content for entities such as people, events, reviews, and blog posts.
9
Dublin Core
Roseville, Minnesota, United States

A metadata element set used to describe documents and other digital or physical resources in a standardized way.
10
RDFa
Cambridge, Massachusetts, United States

An extension to HTML5 that embeds structured metadata within page content by adding attributes based on the RDF data model.
11
Microformats2
San Francisco, California, United States

The second generation of the Microformats specification designed to make publishing and parsing structured data in HTML easier for both authors and developers.
12
Product Ontology
Neubiberg, Germany

An e-commerce classification vocabulary that provides standardized definitions for product and service types used in structured data markup.
13
GoodRelations
Neubiberg, Germany

A standardized vocabulary for product, price, store, and company data that can be embedded into web pages and processed by search engines and other data-consuming services.
14
e-GMS
London, United Kingdom

A definition of the metadata elements that should be applied to public sector information assets.

👉 See Also

🗃️ About This Data