SCAS Schema Generator Next level schema markup

Your tool of choice to generate enriched data according to Schema.org – elegantly and ready for embedding.

Launch Schema Generator Visit Schema Generator Forum

Highlights

The Schema Generator is an innovative tool to generate enriched data according to Schema.org quickly and easily as JSON code, ready for embedding.

  • The intuitive interface allows simple and effective operation of the Schema Generator.

  • All properties can be entered individually, or existing JSONs can be uploaded and edited.

  • The Schema Generator is always up-to-date according to Schema.org.

  • The app is continuously improved by the community, which provides free data sets.

Schema.org

  • Established by the four biggest search engines
  • Over 10 million sites use Schema.org
  • Structured data for all digital assets
  • SEO improvements and better clickthrough rates (CTR)
  • Rich data and shared community vocabulary
  • Get more details …
Preview Schema Generator

Overview Schema Generator

Release history

  • August 2020

    Release Alpha 2.0

    > Improved usabiltiy via direct entry fields

    > Bug Fixes

  • July 2020

    Launch Alpha 1.0

    > Manually editing 3 levels

    > Manual copy of JSON object

    > Data browsing of open data sets

Roadmap: New features

  • Work in progress: Planned features

    • Access control
    • REST interface for data access
    • Data browser for open and private data sets
    • Revenue-sharing model

  • October 2020: Release Alpha 3.0

    • Streamlining Schema Generator with Google’s  structured data tools
      • Integration with Google Tag Manager
      • Connecting with Google Search Console
    • Deployment of SCAS Live Tag editor

Schema.org: Conveying meaning of web content to search engines

All SEO efforts cannot escape one fact: Search engines, irrespective of which particular one is used, are robots. Unlike human users, they can only interpret what they have been programmed for; creativity is not within their realm. SEO in all its facets thus is nothing more than explaining websites and their assets to these robots: All nice and slow, as if for dummies. What is the purpose of the site? How valuable is its content? What exactly is this content? This is where Schema.org comes into play.

In general, markup explains what content means. As is pointed out on Schema.org, common HTML tags define how information contained in the tags is supposed to be displayed. For example, Avatar tells the browser to display the text string “Avatar” in a heading 1 format. But are we talking about the 3D movie, or the profile pictures used in video games, or the incarnation of a god in Hindu Mythology? Only if we put the right schema markup around the name “Avatar” can we make clear to the search engine what exactly we are talking about.

And Schema.org provides a set of predefined schema types which the search engines Google, Microsoft, Yahoo and Yandex have agreed upon. These fixed classes can be embedded as Microdata, RDFa or JSON-LD and define exactly the content of the page or asset for the search engine.

The benefits are clear: The better the search engine knows what kind of content it is dealing with, the more accurate the search results will be. Hence user chances of finding exactly what they are looking for increase. Additionally, page visits from relevant visitors increase and thus click budgets get used optimally. For these reasons Schema.org is now used by over 10 million sites worldwide.

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Schema.org success stories

eventbriterakutenziprecruiterstylecrazesaraminjobrapidomonster

Eventbrite: World’s largest event technology platform*

  • 100% increase in the typical year-over-year growth of traffic from Google Search to event listing pages, according to Google Analytics

* Source: Google Search > case studies

Rakuten: Among largest IT companies in Japan*

  • 2.7x more traffic from search engines
  • 1.5x increase in session duration

* Source: Google Search > case studies

ZipRecruiter: Tool to help businesses distribute millions of online job postings, posted directly to their websites, affordably across multiple platforms*

  • 3x higher conversion rate from Google than from other search engines
  • 4.5x higher Google organic conversion rate than it was previously
  • 10% lower bounce rate for Google visitors to job pages
  • 35% more monthly organic non-branded traffic

* Source: Google Search > case studies

StyleCraze: Online magazine for women that focuses on the latest tips and resources in beauty, health and wellness*

  • 1.2x CTR (Click Through Rate) improvement
  • 100% URLs with markup observed a positive uplift on CTR
  • Implemented markup in 3 languages (English, Hindi, and Telugu)

* Source: Google Search > case studies

Saramin: Among largest job platforms in Korea, increased organic search traffic 2x by investing in SEO*

  • 102% increase in year-over-year (YOY) organic traffic from Google Search during the hiring season in 2019
  • 93% increase in new member sign-ups from organic traffic from Google Search
  • 9% increase YOY in conversion rate from organic traffic from Google Search

* Source: Google Search > case studies

Jobrapido: Global leader for job search engines*

  • 115% increase in organic traffic
  • 270% increase of new user registrations from organic traffic since launch of the new job experience on Google Search
  • 15% lower bounce rate for Google visitors to job pages

* Source: Google Search > case studies

Monster India: Part of the global job portal monster.com*

  • 94% increase in organic traffic on job details pages
  • 10% increase in applications

* Source: Google Search > case studies

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