A digital presence is one of the most essential requirements of any enterprise, and a website with a high ranking on the search pages plays a pivotal role in the success of the business. In order to become the first choice of search engines, websites must meet a plethora of guidelines set by AI-powered engines. With over 5.6 billion searches every day, search engines like Google, Yahoo, Bing, etc., take into account the user’s previous searches and come up with the results that best match the user’s needs. As search engines use AI and machine learning to optimise their SERPs, websites approach a similar method to tackle this conundrum. In this tug of war between AI-powered search engines and SEO tools using AI, who will benefit the most?
Search engines – a brief history
In order to properly understand the need of using AI for SEO, let us delve into the evolution of one of the biggest search engines developed over the years.
On December 1, 2000, Google launched its first browser toolbar with Toolbar Page Rank (TBPR), a free browser plugin that enabled users to look for information with the help of Google’s fast, highly relevant search technology. And thus, the dance for SEO began.
The first named Google update was announced on February 1, 2003, at SES Boston, which brought out a combination of changes in the search algorithm, as well as major index refreshes to improve on the SERP.
Google updates made its name in the world with its update on November 1, 2003, in Florida,...
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