⚡ Semantic Markup in Guernsey

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.

Guernsey is a Western European island British Crown Dependency with a population of around 67 thousand people.

According to our research, semantic markup technologies are used on 38.7% of websites from Guernsey.

Statistics based on 204 analyzed websites. About this data

⭐ Most Popular in 2026

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

The most popular is Open Graph with an impressive share of 75.9%, followed by ARIA with 72.2% and Twitter Cards with 63.3%.

Open Graph 75.9%
ARIA 72.2%
Twitter Cards 63.3%
JSON-LD 49.4%
SearchAction 24.1%
oEmbed 21.5%
Microdata 8.9%
Dublin Core 6.3%
e-GMS 6.3%
RDFa 1.3%

🚀 Highlights

Here is a list of the top technologies that are more popular in Guernsey than worldwide.
Differences between global and country rankings are shown in parentheses.

1. Open Graph ^(-1)
5. SearchAction ^(-1)
8. Dublin Core ^(-1)
9. e-GMS ^(-5)

✨ Best Semantic Markup Technologies

Below is a more detailed list of 10 semantic markup technologies used on sites from Guernsey, ranked by their market share.

Rank	Name	Market 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.	75.9%
2	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.	72.2%
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.	63.3%
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.	49.4%
5	SearchAction Cambridge, Massachusetts, United States A structured data type from Schema.org that describes a website's search capability.	24.1%
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.	21.5%
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.	8.9%
8	Dublin Core Roseville, Minnesota, United States A metadata element set used to describe documents and other digital or physical resources in a standardized way.	6.3%
9	e-GMS London, United Kingdom A definition of the metadata elements that should be applied to public sector information assets.	6.3%
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.	1.3%

🗃️ About This Data

We evaluate the popularity of technologies based on the number of websites where we detect their usage.
Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
This report is based on the analysis of 204 websites from Guernsey.
We currently track the presence of 14 semantic markup technologies across the web.
Of these, 10 were detected on websites from Guernsey.
Statistics were last calculated on June 16, 2026.
For more details, see our methodology and disclaimer.