🆚 Schema & Structured Data vs. SEOPressor
- 📈 Schema & Structured Data is much more popular than SEOPressor.
- 🌍 Schema & Structured Data is more popular in all countries.
- ⭐ SEOPressor is particularly popular in the United Kingdom.
Type
About
Schema & Structured Data for WP & AMP is a WordPress plugin that adds Schema.org structured data and Google Rich Snippets markup to websites.
It supports more than 15 schema types, conditional rules for applying markup to specific pages, Google review markup, custom post types, and integrations with
WooCommerce and bbPress.
SEOPressor is a WordPress plugin made to help you analyze your on-page SEO, get on-point suggestions, measure semantic quality, build and manage the perfect internal link structure, and add schema markup.
Headquarters
Pricing
(1 site, 50 reviews) $99/year
(1 sites, 150 reviews) $149/year
(25 sites, 250 reviews) $299/year
(unlmited sites, 500 reviews) $499/year
(unlmited sites, 500 reviews) $999
Categories
Popularity
Determined by the number of sites using each technology.
Market share
Popularity by country
Determined by the number of sites detected from each country.
Awards
- ⭐ 5th most popular in France in the SEO category.
- ⭐ 5th most popular in India in the SEO category.
- ⭐ 5th most popular in Spain in the SEO category.
- ⭐ 5th most popular in Italy in the SEO category.
- ⭐ 5th most popular in Brazil in the SEO category.
Popularity by domain category
Determined by the number of sites in each category.
Top sites
Top-ranked sites that use these technologies.
Compare alternatives
Technologies with similar characteristics.
See also
🗃️ 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 3,619,357 websites.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.
Schema & Structured Data

