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Google Algorithm Updates - The Major Changes Over Time

Google Algorithm Updates - The Major Changes Over Time

In this article, we will look at the main Google algorithm adjustments that have changed the digital world, as well as the rationale behind them and the influence they have had on website owners and SEO practitioners. 

Table of Contents

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What is the Google Algorithm?

The Google Algorithm is a complex and dynamic system that acts as the foundation of Google’s search engine. It is in charge of analyzing, organizing, and rating billions of web pages in order to give the most relevant and valuable results to people all over the world. Consider it a virtual librarian who thoroughly examines a vast library of knowledge to select the best books for each reader’s question.

At its heart, an algorithm is a series of rules, formulas, and computations that work together to determine how web pages should be assessed and ranked. Google’s primary objective is to give consumers an amazing search experience by presenting them with results that match their search intent and suit their information demands.

To achieve this, the algorithm takes into account a multitude of factors when assessing a web page’s relevance, credibility, and overall quality. These factors include keyword usage and relevance, website authority and trustworthiness, user engagement signals, mobile-friendliness, page loading speed, and the overall user experience.

When a user enters a search query, the algorithm quickly analyzes the query’s intent and seeks to understand the underlying meaning behind the words. It then scours its vast index of web pages to identify the ones that are most likely to satisfy the user’s intent. This is where the complex calculations and ranking factors come into play.

Content relevance is a vital part of the algorithm. It assesses how effectively the content of a webpage fits with the user’s query, taking into account criteria such as the availability of relevant keywords, semantic linkages, and context. The algorithm also evaluates the content’s quality, looking for originality, comprehensiveness, and competence.

The authority of the website is also important. The algorithm takes into account the number and quality of other websites that link back to a specific page. These backlinks serve as votes of confidence, informing the algorithm that the page is reliable and worthwhile.

User engagement signals play a significant role as well. The algorithm takes into account metrics like click-through rates, time spent on a page, and bounce rates to gauge user satisfaction. If users consistently find a particular page helpful and engaging, it is likely to receive a higher ranking in the search results.

What is the Google Algorithm Update?

A Google Algorithm Update refers to a significant change or modification made to Google’s search algorithm, which determines how websites are ranked and displayed in search engine results. These updates are part of Google’s ongoing efforts to improve the search experience for its users by refining the way web pages are evaluated and ranked.

Google Algorithm Updates are named or assigned version numbers to distinguish them and aid in discussions surrounding their impact. They are often shrouded in mystery, as Google doesn’t disclose specific details about every change it makes. Instead, the updates are typically discovered through data analysis, industry observations, and official announcements.

These updates are essential because they can have profound implications for website owners, digital marketers, and the online ecosystem as a whole. When an algorithm update is released, it can lead to fluctuations in website rankings and visibility. Some websites may experience significant improvements in their rankings, while others may see a decline.

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The Major Changes Over Time in Google Algorithm Updates 

Here is a list of some major Google Algorithm modifications that have occurred up until now. 

Google Panda (2011 update)

The Panda update, released in 2011, marked a significant milestone in Google’s ongoing effort to improve search quality by targeting low-quality and thin content websites. The update aimed to enhance user satisfaction by promoting websites that offered valuable and original content, while demoting those that engaged in content scraping, duplication, or had poor user experiences.

Panda (2011 update)

Panda brought about a shift in the algorithm’s evaluation criteria, focusing on factors such as content quality, relevance, and user engagement. It was designed to favor websites that provided comprehensive, well-written, and authoritative content while penalizing those that offered shallow, duplicate, or poorly constructed information.

This algorithmic update was a response to the growing prevalence of websites that employed tactics such as keyword stuffing, thin content pages, and content farms solely aimed at generating high search rankings. These practices diminished the overall search experience, making it challenging for users to find accurate, trustworthy, and valuable information.

With the Panda update, Google sought to rectify these issues by emphasizing the importance of high-quality content. Websites that demonstrated expertise, originality, and relevance in their content were rewarded with improved visibility in search results. Conversely, websites with thin or duplicate content faced a decline in rankings, resulting in reduced organic traffic.

To ensure fairness and accuracy, Panda evaluated websites on a page-by-page basis rather than assigning penalties to entire domains. This allowed websites with high-quality content to maintain their rankings for valuable pages, while specific low-quality pages were targeted for ranking demotion.

Google Penguin (2012 update)

The Penguin update, which was introduced in 2012, brought a renewed focus on the quality and naturalness of backlinks to combat manipulative link-building practices. This algorithmic update aimed to penalize websites that engaged in spam or unnatural link schemes while rewarding those that built authoritative and organic backlink profiles.

Penguin (2012 update)

Prior to Penguin, some website owners attempted to boost their search rankings by engaging in practices such as buying links, participating in link farms, or using excessive anchor text optimization. These tactics artificially inflated a website’s link profile and often led to irrelevant or low-quality websites receiving higher rankings.

To solve this issue, Google introduced the Penguin update, which improved the way its algorithm evaluated backlinks. Penguin ranked websites based on the quality, relevancy, and naturalness of their link profiles. Websites that used ethical and organic link development tactics, as well as links from trustworthy and relevant sources, were given more credibility and exposure in search results.

Google Hummingbird (2013)

In 2013, Google introduced the Hummingbird update, a significant milestone in the evolution of its search algorithm. Unlike previous updates that primarily focused on specific aspects of search, Hummingbird aimed to understand user intent more effectively and provide more relevant search results by embracing the concept of semantic search.

Hummingbird (2013)

The update recognized that users often search for answers, solutions, or information rather than specific keywords. Hummingbird incorporated natural language processing capabilities, allowing it to better understand the context and semantics of search queries. It aimed to provide more nuanced and accurate results by comprehending the relationships between words, phrases, and concepts within a query.

By shifting its focus to semantic search, Hummingbird aimed to deliver search results that answered the user’s underlying question rather than simply matching individual keywords. It sought to emulate how humans think and communicate, providing a more human-like search experience.

Google Mobile-Friendly Update (2015)

In 2015, Google implemented a noteworthy algorithm update called the Mobile-Friendly Update. This substantial change aimed to prioritize websites that were compatible with mobile devices in mobile search results. Given the increasing prevalence of mobile device usage, the objective of this update was to improve the browsing experience on mobile devices by ensuring that websites were optimized for smaller screens, touch interactions, and faster loading speeds.

Mobile-Friendly Update (2015)

The Mobile-Friendly Update humanized the search experience by acknowledging the changing habits and preferences of users. It recognized the increasing number of people accessing the internet through mobile devices and aimed to deliver search results that catered to their specific needs.

With this update, Google made mobile-friendliness a ranking factor, rewarding websites that were responsive and optimized for mobile devices. Mobile-friendly websites provided a seamless browsing experience, with content that adapted well to different screen sizes, easy-to-use navigation, and optimized loading speeds.

Google RankBrain (2015)

In the year 2015, Google unveiled RankBrain, an algorithm powered by artificial intelligence, which introduced a heightened level of refinement to its process of ranking search results. Serving as a pivotal element within Google’s search algorithm, RankBrain was designed with the objective of enhancing the precision and pertinence of search results by acquiring a deeper comprehension of the underlying intent behind user queries.

RankBrain humanized the search experience by utilizing machine learning to interpret the context and intent of search queries, particularly those that were ambiguous or lacked clear keywords. It aimed to bridge the gap between how users phrase their queries and the information they are seeking, providing more accurate and personalized search results.

Unlike traditional algorithms that relied heavily on keyword matching, RankBrain had the ability to interpret the semantics and relationships between words within a query. It employed an advanced understanding of language to generate more contextually relevant search results, even for complex or uncommon queries.

The introduction of RankBrain signified Google’s commitment to evolving its search algorithm to better align with human understanding and behavior. By leveraging machine learning, RankBrain could continuously learn from user interactions and adapt its understanding of queries over time, enhancing its ability to provide meaningful search results.

Google Possum (2016)

In 2016, Google introduced an algorithm update known as Possum, which aimed to provide more accurate and diverse local search results. Possum humanized the search experience by addressing the issue of location-based search queries and ensuring that users received more relevant and varied results based on their geographical context.

Possum specifically targeted local search queries, such as “restaurants near me” or “dentists in [city].” The update aimed to improve the filtering and ranking of local businesses in the search results, making it more likely for businesses located just outside the city limits to appear in the local pack.

Prior to Possum, businesses located outside the physical city limits often struggled to appear prominently in local search results. The update aimed to rectify this by providing greater visibility to businesses located nearby but not necessarily within the city boundaries. This change aimed to enhance the accuracy and diversity of local search results, ensuring that users received a broader range of relevant options.

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Google Fred (2017) 

In 2017, Google introduced an algorithm update that webmasters and digital marketers came to refer to as “Fred.” While Google did not officially confirm the update or provide specific details about its purpose, industry experts observed significant fluctuations in search rankings and identified patterns indicating a major algorithm change.

Fred humanized the search experience by targeting websites that appeared to prioritize revenue generation over providing valuable and user-centric content. It aimed to penalize websites engaging in aggressive monetization tactics, low-quality affiliate marketing, and thin content with little substantive value

Fred (2017)

Fred sought to ensure that search results displayed high-quality, informative, and trustworthy content for users. Websites that primarily focused on maximizing ad revenue and lacked substantive content were more likely to experience a negative impact on their search rankings.

This update emphasized Google’s ongoing commitment to delivering a positive user experience. Fred aimed to discourage websites that solely existed to generate ad revenue, without offering substantial value to users. It prioritized websites that provided unique and engaging content, demonstrating expertise, authority, and trustworthiness in their respective fields.

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Google Intrusive Interstitials Update (2017)

In 2017, Google introduced the Intrusive Interstitials Update, which targeted websites that utilized intrusive pop-ups, overlays, or interstitials that hindered the user’s access to content. This update aimed to improve the mobile browsing experience by penalizing websites that employed intrusive interstitials that negatively impacted user satisfaction.

The Intrusive Interstitials Update humanized the search experience by addressing the growing prevalence of disruptive interstitials on mobile devices. It aimed to ensure that users could easily access the desired content without encountering frustrating or intrusive obstacles.

Google recognized the importance of providing a positive user experience, especially on mobile devices where screen real estate is limited. The update targeted interstitials that covered a significant portion of the screen, required users to dismiss them to access content, or utilized hard-to-close mechanisms. Such interstitials often lead to higher bounce rates and frustrated users.

Google Medic (2018)

In 2018, Google released the Medic algorithm upgrade, which had a substantial impact on websites in the health and medical categories. The Medic update sought to increase the quality and reliability of health, wellness, and medical information search results. It attempted to guarantee that consumers received reliable and authoritative information from credible sources.

By recognizing the importance of health-related questions and the possible consequences of erroneous or misleading information, Medic simplified the search experience. It sought to prioritize material from authoritative sources such as medical practitioners, renowned healthcare organizations, and established websites with medical knowledge.

The update specifically targeted websites providing medical advice, information, or content related to sensitive topics, such as mental health, serious illnesses, or treatments. It aimed to evaluate the expertise, authority, and trustworthiness (E-A-T) of these websites, taking into consideration the qualifications, credentials, and reputation of the authors or publishers.

Google BERT (2020)

In 2019, Google introduced BERT (Bidirectional Encoder Representations from Transformers), an advanced natural language processing model that significantly improved the understanding of search queries and the context of the content. BERT aimed to enhance the accuracy and relevance of search results by better comprehending the nuances and context of natural language. 

Unlike previous algorithms that primarily focused on keyword matching, BERT utilized a deep learning approach, leveraging a transformer-based architecture to capture the relationships and dependencies between words in a sentence. This enabled BERT to better understand the context and deliver more precise search results.

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Latest Google Updates Since 2021

We’ve curated a comprehensive list of all the Google algorithm updates that have been introduced over the past few years. Explore the list below to stay informed. 


June 2021 Spam Update (Part One): This update targeted websites that were engaging in spammy or manipulative link building practices.

June 2021 Spam Update (Part Two): This update was a follow-up to the first spam update, and it further penalized websites that were using spammy or manipulative link building practices.

November 2021 Core Update: This update was a major change to Google’s search algorithm, and it affected websites across all languages and content types. The update was designed to improve the quality of search results by rewarding websites that provided high-quality, informative content.

December 2021 Product Reviews Update: This update focused on improving the quality of product reviews in Google’s search results. Websites that provided in-depth, informative product reviews were rewarded with higher rankings.


March 2022 Product Reviews Update: This particular update was implemented with the aim of enhancing the overall quality of product reviews within Google’s search results. Websites that offered comprehensive and informative product reviews were given increased prominence in search rankings as a reward.

May 2022 Core Update: Representing a substantial alteration to Google’s search algorithm, this update impacted websites across all languages and content types. Its primary objective was to elevate the quality of search results by prioritizing websites that presented exceptional, informative content.

July 2022 Product Reviews Update for English-language Product Reviews: With a focus on enhancing the quality of product reviews specifically within Google’s search results for English-language content, this update aimed to reward websites that offered in-depth and informative product reviews with higher rankings.

August 2022 Helpful Content Update: Concentrating on improving the ranking of websites providing valuable assistance to users, this update placed greater emphasis on websites that delivered high-quality and informative content relevant to users’ search queries. Such websites were given higher rankings as a result of this update.

September 2022 Core Update: This update constituted a significant alteration to Google’s search algorithm, impacting websites of all languages and content types. Its objective was to enhance the caliber of search results by giving preference to websites that delivered high-quality, informative content.

October 2022 Spam Update: This update specifically targeted websites that employed spammy or manipulative practices related to link building.

December 2022 Link Spam Update: This update is aimed at websites engaged in spam or manipulative link building tactics.

December 2022 Helpful Content Update: The primary focus of this update was to elevate the ranking of websites that offer valuable content. Websites that provided high-quality, informative content relevant to users’ search queries were rewarded with improved rankings.


April 2024 Reviews Update: This update aimed to enhance the ranking of websites that provide product reviews. Websites that produced high-quality, informative product reviews were granted higher rankings.

March 2024 Core Update: Similar to the September 2022 update, this constituted a substantial modification to Google’s search algorithm, affecting websites across various languages and content types. The intention was to enhance the quality of search results by favoring websites that provided high-quality, informative content.

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Why are Google Algorithm Updates Important for SEO?

Google algorithm updates are vital for SEO because they shape the criteria by which websites are ranked and displayed in search results. Staying informed about these updates allows SEO professionals to adapt their strategies and optimize their websites to meet the latest ranking factors, improving visibility, organic traffic, and ultimately, the success of their online presence. By understanding the evolving algorithms, SEO practitioners can ensure their websites align with Google’s priorities, such as user experience, quality content, mobile-friendliness, and other key factors that impact search rankings.


Google algorithm adjustments are critical in the realm of SEO. They influence how websites are ranked and shown in search results. Therefore, SEO practitioners must remain up to date on these changes. SEO experts may optimize their websites to match the current ranking criteria, boost exposure, and generate organic traffic by recognizing the changes and modifying their techniques accordingly. 

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About the Author

Content Team Lead- Digital Marketing

As a professional Content Team Lead in Digital Marketing, Shailesh Bhagat brings over 8 years of dynamic experience in the Edtech sector. With 5 years of team leadership and 2 years of specialized SEO expertise, he excels at executing comprehensive Digital Marketing strategies. A proven track record showcases Shailesh’s adeptness at managing diverse content teams.