The last few years, search engines such as Google, Bing, and even Apple, have been upgrading their algorithms and machine learning processes to account for the end-userâs experience. But, since their algorithms are built upon the work completed by automated crawling bots (pieces of software that manually scour the internet), it has always been difficult for them to truly simulate the actions of a flesh and blood user. And itâs not feasible for them to create an algorithm thatâs based on the anecdotal feedback of an army of individual users that submit their findings.
Instead the search engines have started to write logic that, to their best estimation, is what a user experience should be on a website. Some of the criteria they are now measuring are site speed, mobile optimization, site structure, content, and dozens of other signals that should give the algorithm an idea of whether or not search engine users are getting what they expect from a website.