9 Major Google SEO Algorithms You Must Understand

Do you know how many SEO algorithms Google has introduced within the last 25 years? Getting the exact number is quite difficult due to the sheer number of changes made to the existing ones. However, as a digital marketer, it is important to know some of the major ones that have changed the way search engines work. 

Why does Google continuously update its SEO algorithms? The simple answer to that is to provide the best possible user experience. As technology and consumer preferences evolve with time, search engines also must be updated to match our desires and needs. In this blog, we explain some of the major Google algorithms that have made a big impact in the long term. 

How does Google SEO algorithm work

When we look up information on the web, the search engine displays a ton of relevant results. The most valued results are often at the top positions followed by other results. But how does Google figure out the best web pages for search queries? That’s where the search algorithms play their part. 

But what is an algorithm in SEO? It is considered a key element in SEO that examines various factors such as user experience, content relevance, page quality, etc. These activities result in the search engine to deliver highly relevant responses to user queries.

But how does Google’s SEO algorithm work? The question still remains. Before we search, Google’s web crawlers scout the web discovering and indexing hundreds of billions of websites into its search index. Once the user performs a search, the algorithm analyzes the query and compares it to the indexed pages it has crawled. It checks various ranking factors and assigns a rank based on them. The higher the ranking, the further it appears at the top of the SERP.

Understanding The Major SEO Algorithms

Now that you know how Google’s SEO algorithm works, let’s move on to the elephant in the room which is the major SEO algorithm introduced by Google over the years.

• Panda
• Penguin
• Hummingbird
• Pigeon
• RankBrain
• Fred
• BERT
• MUM
• Helpful Content Update

Panda

Rolled out: February 2011

Objective: Derank websites with thin & duplicate content

In the earlier days of Google, SEO wasn’t as sophisticated as of now. Websites were often able to achieve high rankings by stuffing keywords and generating large volumes of low-quality, repetitive content that offered no value. To combat this, Google rolled out the Panda update on February 23, 2011. 

The main focus of this Google algorithm update was de-ranking thin and duplicate content, enhancing visibility, and improving search results. On April 11, 2011, a second update called Panda 2.0 was introduced as the initial update focused only on US queries but subsequent updates began to focus on all English queries worldwide.

Penguin

Rolled out: April 2012

Objective: Downrank sites with spammy, manipulative link profiles

Another major algorithm update was the Penguin which was introduced on April 24th 2012. As we know link building is one of the important ranking factors for a website. However, some users resorted to black hat link-building strategies to manipulate and increase site rankings. With the Penguin algorithm, Google aims to reduce such activities, crack down on such websites not following Google’s guidelines, and penalize them for engaging in such practices.

Hummingbird

Introduced: September 2013

Objective: Improve search result quality by understanding the semantic meaning of queries.

Hummingbird was one of the most game-changing SEO algorithms launched by Google. According to the company, this algorithm was considered a complete rewrite of their entire core algorithm, potentially affecting 90% of searches on the web. The purpose behind Hummingbird was to allow Google to better understand the query’s search intent rather than solely considering the individual keywords. This, in turn, improved the accuracy and quality of the results in the SERP.

Pigeon

Rollout: July 24, 2014 (US), December 22, 2014 (UK, Canada, Australia)

Goal: Provide relevant search results based on the user’s location

Another SEO algorithm that created a massive impact similar to Hummingbird was the Pigeon algorithm. Launched first in the US on July 24th 2014 then later to other countries on December 22nd of the same year, Google Pigeon focused on local search and enhanced ranking signals for both Google Search and Maps. This enabled the search engine to serve better results based on a user’s proximity to a location. This algorithm was indeed, a big step for local SEO and was beneficial for businesses of all types.

RankBrain

Rolled Out: October 26, 2015

Goal: Understand the intent of user queries and deliver better search results

Today the Google search engine can understand the intent of a user query and deliver the exact search result with ease. RankBrain is what makes this possible. Before RankBrain, Google algorithms were more simplistic which meant that whenever a user query came up, it just often checked the user term for keywords and checked for a match on the web. Once a match is found, it is returned. RankBrain is one of the important components of Google’s core algorithm and uses machine learning to figure out the most relevant results for user queries.

Fred

Rolled Out: March 8, 2017

Objective: Filter low-quality web pages that use a lot of ads

According to the search giant, the purpose of the Fred algorithm was to target those websites that violate Google’s webmaster guidelines. To be specific this meant that websites having low-quality content and those generating ads were targeted by Fred. The overall aim is to deliver relevant and valuable results to queries and improve user experience and overall quality of search.

BERT

Rolled out: October 21st 2019

Objective: Enhance search understanding

In October 2019 Goggle introduced the BERT(Bidirectional Encoder Representations from Transformers) that transformed processed search queries in a way never seen before. Before BERT, search engines understood natural language and provided relevant responses to search queries. By leveraging machine learning, the update enhanced the existing algorithms to understand the context of the user search terms. This allowed the search engine to deliver results that offered the most value and relevance. 

MUM

Rolled out: May 2021

Objective: Enhance search understanding further than BERT

Google MUM (Multitask Unified Model) was introduced in May 2021 to further enhance search. According to the company, MUM is designed to be 1000 times more efficient than its predecessor, BERT. Like the former, MUM also uses artificial intelligence and natural language understanding making it able to comprehend up to 75 languages and understanding the context of images, videos, and audio files.

Helpful Content Update

Rolled out: September 2023

Objective: To ensure that users see only human-written content first

This was one of the most impactful Google SEO algorithm updates in 2023. The algorithm focused on prioritizing original human-written content above AI-generated ones for ranking well on search engines. According to Google, the search’s helpful content system generates a signal used by the automated ranking systems to ensure better people see original, helpful content in search results.

Winding Up

These are just some of the major ones from the huge list of SEO algorithms launched. Upon learning how Google’s SEO algorithm works, you must also understand that with each algorithm update, Google has a clear purpose: improve user experience and allow searchers to find information quickly. However, as the algorithms are changing, the best results that appear today may not be the same as tomorrow. Therefore, SEO professionals, content optimizer experts & SEO agencies must make optimizations to stay ahead and relevant in search.

Do you wish to learn more about the ones described here, as well as others, such as the Google spam update? Contact GTECH Digital, the renowned search engine optimization company in UAE. Our team will assist you and easily take care of your specific business requirements.