⚡ Semantic Markup in Armenia

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.

Armenia is a Western Asian country with a population of around 3 million people.

According to our research, semantic markup formats are used on 61.3% of websites from Armenia.

⭐ Most Popular in 2026

The following chart shows the top semantic markup formats in Armenia in 2026, based on market share.

The most popular is Open Graph with a substantial share of 92.4%, followed by Twitter Cards with 53% and JSON-LD with 47.5%.

✨ Best Semantic Markup Formats

Below is a more detailed list of 7 semantic markup formats used on sites from Armenia, ranked by their market share.

RankNameMarket share
1
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.

2
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.

3
JSON-LD
Cambridge, Massachusetts, United States

A lightweight linked data format used to embed structured data into web pages in a machine-readable form.

4
Microdata
Cambridge, Massachusetts, United States

An HTML specification used to embed structured metadata within web page content by annotating elements with machine-readable attributes.

5
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.

6
Dublin Core
Roseville, Minnesota, United States

A metadata element set used to describe documents and other digital or physical resources in a standardized way.

7
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.

👉 See Also

🗃️ About This Data