Machine-learning enables a system to use historical search data to predict what any given user would most likely click on for a previously unseen query. The proprietary technology of SEOMachine.AI ensures that the website is easy to navigate and accessible on all browsers and devices. Backlinks are also still an important ranking factor, so it is also important to ensure that yours come from high-authority sites.
The history of AI-powered SEO technology has been largely determined by Google’s formidable algorithm. In 2016, Google introduced accelerated mobile pages (AMP), a digital publishing format meant to compete with Facebook’s “Instant Articles”. (AMP content is listed in search results with a lightning bolt.) The idea was to enhance the loading of search results pages on mobile devices. They have since added AMP Stories as well as advertising support.
Google’s AI primarily looks at three metrics: proliferation of links / back-links to the site, organic CTR (click-through rate), and dwell time / bounce rate (how many users leave a site immediately after arriving). The AI is becoming better and better at ascertaining when a user clicks through to your content and perceives it as the right content for his needs. If any of the above metrics suffers, it adversely affects your ranking. So the point is to not just lure browsers into a click-through, it is to RETAIN them after they’ve decided to click.
The basic idea behind AMP is that it is a user-first format: It adheres to a set of coding guidelines that bolster page speed and enhance overall UX. Although AMP is not ITSELF a ranking factor, the page performance it affects IS. Consequently, when it comes to mobile search, AMP pages are likely to load faster and have better usability. And THAT will help to boost the position on SERPs.