How Google's pros and cons SERP annotations are generated

In this episode Marie discusses the new “pros and cons” SERP annotations you may have seen. These are not produced by structured data! A new Google patent explains how n-grams, terms and phrases can be used to discover attributes about a product or entity and then show those right in the search results Links mentioned in this episode: https://www.mariehaynes.com/pros-cons-and-serp-annotations/ https://www.linkedin.com/pulse/google-proscons-rich-results-annotations-simone-de-palma/ https://towardsdatascience.com/understanding-word-n-grams-and-n-gram-probability-in-natural-language-processing-9d9eef0fa058 https://patents.google.com/patent/US20210406268A1/en https://cloud.google.com/natural-language https://searchengineland.com/micro-intents-seo-content-journey-mapping-386544 https://www.kopp-online-marketing.com/micro-intents https://developers.google.com/search/blog/2021/04/product-reviews-update Hire Marie and the MHC team: https://mariehaynes.com/contact/