Google for Jobs (GFJ) launched in 2017 aimed to seamlessly connect job seekers with companies with open roles. The goal was to create a platform that would aggregate job postings and job advertisements from job boards, ATSs, RMPs, and other career websites in one place to make Google for Jobs for employers and job seekers the best platform for their search.
While the platform has its pros and cons, by far one of the most controversial features of Google for Jobs is the Google schema requirements. These technical requirements are meant to aid candidates and employers, but they’re ending up harming the experience and the platform overall.
In this post, we’re going to help you understand what Google schema is, how it relates to GFJ, and why, right now, it isn’t working. Let’s get started.
What Is Google Schema?
The premise of schema, also called structured data and Google jobs structured data, is pretty simple.
Google schema, and schema in general, is a type of microdata that helps search engines understand and evaluate the content of certain pages, websites, or, in the case of GFJ, job postings. This data then helps the platform create better search results based on what
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