During the last several years, Google has been making updates to their algorithm that have improved the quality of search results. These changes have helped to boost content that is relevant, informative and most importantly, useful to the searcher.
Panda was the first of a series of quality control checks that have been implemented by Google over the last few years. This algorithm is intended to reward high quality sites, while weeding out sites that are of low quality and do not offer much value to the searcher.
The Panda update was first announced in September 2014, but was not rolled out until the following month. The update was meant to correct a number of the more egregious Panda activities. For instance, Google was targeting content farms, which are websites that produce large amounts of low-quality content with little or no authority or trustworthiness. These sites employ large numbers of writers at low wages.
The Panda update was meant to make the search engine more user-friendly by filtering out webspam and other low-quality content, which is the reason it was called the Google Panda. However, as the Panda update rolled out, many sites that were already familiar to the SEO industry began to see their rankings plummet. Some benefited from the update, such as Alan Bleiweiss, who rewrote his site’s content across 100 pages. Others suffered, including some high-profile websites.
There are many things that can lead to a lost ranking or traffic. These include a competitor taking your spot, seasonal dips in consumer interest, and manual penalties. The best way to avoid a Panda bump is to focus on making your website more useful to the searcher.
One of the main reasons why the Google Panda algorithm was introduced was to combat the rise of “content farms” which provide a large quantity of low-quality content with little or no value to the searcher. The Panda update rolled out in a number of phases. These phases are known as data refreshes.
The Panda update was a big deal. It was a significant change to the Google algorithm, which has been updated 28 times over the last six years. The update impacted between three and five percent of English-language search results. This is a large number, especially for a search engine that is renowned for its accuracy and speed.
Panda was a significant change to the algorithm, and although it is no longer part of the core algorithm, it is still used as a signal. Panda uses machine learning to rank sites and recommends that content creators focus on quality rather than quantity.
The Panda was the first of a series of updates that would make Google more user-friendly. This is a step that will continue to improve the quality of the search engine’s results. The Panda is still in use, but it no longer performs the magic tricks that it once did. However, it still has the capabilities to make the search engine more intelligent, which is why it still a valuable tool.