Google Shopping and Google Recipes are prototype examples of how metadata can improve search results under Schema.org.
With Google Shopping, for instance, when web users enter a search term—say, “Harry Potter”—a list of criteria to help them narrow their search appears in the left-hand margin of the search page. Online shoppers can choose to see only those results that are available in stock nearby, that offer free shipping, or that are new. They can specify the type of product they’re looking for (books, DVDs, toys, video games, costumes), the price range they’re looking to spend, or a particular store they’d like to buy from.
With the LRMI specification in place, instructors will be able to narrow their search results in a similar fashion. When educators search for an educational term or resource—say, “teaching fractions”—a list of criteria will appear that lets them further define the search by age range, standards the resource aligns to, publisher, and more.
Before this happens, though, two things need to occur.
First, Schema.org has to formally approve the LRMI specification and make the spec a part of its framework. According to sources, a decision on this is expected very soon.
Once Schema.org approves the spec, search engines such as Google and Bing have to build it into their systems for delivering search results. The timetable for this to happen is up to the search engines themselves, meaning users of one search engine might experience the benefits of LRMI’s efforts faster than users of another.
- Weak tech could push students, faculty to other institutions - April 13, 2026
- 13 predictions about edtech, innovation, and–yes–AI in 2026 - January 1, 2026
- 5 essential dimensions of AI literacy - December 12, 2025