Like everything in SEO, much is constantly evolving. Let's take a moment to recap some of the most exciting developments that took place in 2017.
Schema.org Version 3.3 – The Schema.org vocabulary has seen several updates. But one of my favorite changes was the addition of HowTo. I've been waiting for an entity type like HowTo for a long time. It's similar to the tried-and-true recipe, cameroon phone number data but HowTo is a much more comprehensive and general definition that can be applied to almost any documented process. In addition to the previously known properties like "prepTime" and "yield," there are now great possibilities like "estimatedCost," "tool" (everything used in a process ), and "supply" (everything consumed in a process ).
It's also worth mentioning that version 3.2, released in early 2017, enhanced the Course type and moved similar properties from Pending to Schema.org. We also saw some very valuable improvements to the Menu type with this version.
Job Postings & Salary Ranges – Now things are getting serious! These are the kind of developments I've been really looking forward to – a state-of-the-art search function powered by structured data! For more information, just check out the job postings in Google Search.
Google has updated its Merchant Center recommendations – this post hasn't touched on JSON-LD yet, but it's a good starting point. Google now recommends using JSON-LD as a method for structuring product data for Merchant Center. And that's huge! For far too long, merchants and webmasters have been plagued by the burden of having to deal with inline markups. It's steps like these that have led the UpBuild team to completely deprecate semantic inline markups for our clients.
Structured Podcast Data – We love podcasts! So this development in particular was very exciting for us. Google will now provide rich data for podcast series and episodes – which will be particularly targeted at Google Home. This is pretty huge and once again indicates that structured data is becoming more and more important! The interesting thing is that your data must be part of an RSS feed (RSS 2.0 to be exact). You can learn more about structured data and podcasts here. This is a very good example of why I try so hard to use the term "structured data" and to lessen the reference to "semantic tags" – because there are no tags here! It's 100% structured data, completely decoupled from any presentation layer.
What’s new in the world of semantic search?
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