Google New Search Algorithm Change
Google recently implemented another search algorithm change, likely to cause discomfort among publishers. These adjustments aim to identify helpful content while pushing down low-quality ones from search results pages.
This update will impact reviews of products, services, games, destinations and movies as well as search results for certain queries.
It’s based on machine learning
Google regularly changes its search algorithm to meet users’ demands, so digital marketers must remain up-to-date on these updates and modify their SEO strategies accordingly. Google utilizes machine learning – an artificial intelligence (AI) technique which uses data analysis for decision making – in its algorithm updates and digital marketers should keep an eye out for any updates.
Artificial intelligence-powered algorithms like these can help Google interpret search queries, match them with relevant pages and style the results accordingly. Over time, they may also become increasingly more relevant to searchers.
Recent updates to Google Search include RankBrain, a machine learning algorithm designed to assist Google in understanding search queries and rank pages accordingly. Other algorithms, like Panda and Pigeon, aim at filtering low-quality content while providing local results; others such as Mobilegeddon adjust results depending on which device was used for searching; The Medic Update reduces spammy medical sites while protecting user health against disreputable information; while September 2022 core update was broad in scope but less significant than previous core updates.
It’s based on data
Google releases regular updates to its search algorithm that can impact search results and increase quality of its results. These adjustments are based on data and are often referred to by SEO practitioners as core updates; these affect all websites regardless of optimization methods used, but usually focus on those with common issues.
The Venice update sought to more aggressively localize organic results and integrate them with local search data, while simultaneously prioritizing product reviews and rolling out a targeted link spam update.
The Caffeine update enabled Google to be more responsive to long-tail keywords while simultaneously increasing crawl and index speeds and introducing LSI, a machine learning model which helps understand synonyms and related concepts. Meanwhile, Mobilegeddon, or Mobile-Friendly Update was implemented by rolling it out in April 2015 after months of beta-testing by Google.
It’s based on user experience
Google often updates its search algorithm to enhance user experiences, often with minor adjustments that won’t impact most websites. They do, however, release two or three major core algorithm updates annually which often create quite a buzz among SEOs and attract special attention with catchy names attached.
Google recently unveiled a small Penguin data update, impacting 0.3% of queries. They also announced a new ranking signal dubbed RankBrain which will have more significant effects than prior rankings signals.
Google recently unrolled another major core algorithm update, targeting local searches and improving mobile SERP quality. They also changed how they rank mobile-friendly sites as well as increasing E-A-T importance within their algorithm – it remains to be seen how these changes will have an effect on rankings but are expected to have a substantial influence over black-hat SEO practitioners.
It’s based on quality
Google is constantly refining their search algorithm in order to deliver better results for its users. Each update serves a similar goal – to surface helpful content while pushing down thin or irrelevant webpages. In order to remain competitive in their respective industries, digital marketers must stay aware of these changes and focus on producing high-quality material relevant to their audiences’ needs.
RankBrain uses machine learning to understand search intent and sort through billions of webpages to deliver the optimal results for a search. It has proven highly successful and now forms part of most searches conducted on the web.
Google released an update in February that targeted low-quality aggregator sites designed solely to rank higher on SERPs. SEOs dubbed it Fred, while Gary Illyes amusedly coined it “Fred 2.” Marketers must create helpful content designed with users in mind rather than to rank higher on search engine result pages (SERPs).