What is Google Algorithm? Define the top 8 Google algorithms and Its Working process.

The Google search algorithm refers to the internal process that Google uses to rank content. It takes a number of factors into account when determining these rankings, such as the relevance and quality of the content against a particular search query.

Google’s algorithm is highly complex, and how it exactly works is not public information. It’s believed that there are well in excess of 200 ranking factors—and nobody knows them all.

Even if they do, it won’t matter because the algorithm is constantly changing. Google releases updates to its algorithm, on average, six times per day. That’s up to 2,000 times per year.

That said, Google hints at how you can rank well in its results.

Most important google core algorithm updates

Here’s a list of the most well-known algorithm updates in the last decade that shaped the way Google algorithm works:

Panda (2011)

Google Panda is a filter focused on low-quality pages, thin content, keyword stuffing and duplicate content. It was incorporated into the core algorithm in 2016 and rolls out regularly.

Penguin (2012)

An important algorithm update that focused on any kind of manipulative (low-quality, spammy, irrelevant, over-optimized) links.

Hummingbird (2013)

Hummingbird update improved the way Google understands and interprets search queries; a shift from exact keywords to topics

Pigeon (2014)

Pigeon focused on the improvement of the local results both in terms of quality and accuracy.

Mobile Update (2015)

This update is also known as Mobilegeddon in the SEO community. It favors mobile-friendly pages in mobile search results.

RankBrain (2015)

As mentioned earlier, RankBrain is a machine-learning component of Google’s Hummingbird algorithm that helps provide more relevant search results.

Fred (2017)

Fred is an unconfirmed update that seemed to focus on low-quality, ad-centered content that violates Google Search Quality Guidelines.

Medic (2018)

A broad core algorithm update that heavily affected the so-called YMYL (your money your life) pages, especially health-related content.

Bert (2019)

Another machine learning algorithm focused on a better understanding of the context of a search query. It is based on the natural language processing model called BERT.

Core