A Historical Overview of the Most Impactful Google Search Engine Updates
- Updated: 2021-12-15
- Published: 2021-08-05
- Reading time: 10 minutes
- Word count: 1503
Google search began in 1997. Since then many core changes have been put into affect. Google makes changes to award or penalize website ranking based on pre designed algorithm factors. Some changes are specifically aimed to improve the user experience by attempting understand and interpret their intent.
TLDR;
Google has made many core changes to its search engine
will award and penalize a website rank based on algorithm factors
some changes are specifically aimed to understand user intent
Google search continues to be improved :)
Introduction
Google is the world's most popular search engine. Google search currently represents over 92% of the world's search traffic (https://gs.statcounter.com/search-engine-market-share). Google search began in 1997 and become very popular by 2000.
Over the past 20 years, Google has made many updates to its search algorithm. These updates are classified as either core updates affecting 5% - 10% of all searches or minor updates affecting 0.1% - 1% of all searches.
Understanding how Google search works is important for SEO. While Google keeps its exact search algorithm a secret we can infer some usable SEO tactics from data analysis. In this article, we briefly summarize some of Google's most notable core updates from the past twenty years.
Why Does Google Update its Search Algorithm?
Google has continued to improve its search engine throughout the based twenty years. While reflecting on these changes it became clear that there are three major reasons for updates: to award value for high-quality websites, penalize websites using SEO hacks, and improve the understanding of a search user's intent.
there are three major reasons for updates: to award value for high-quality websites, penalize websites using SEO hacks, and improve the understanding of a search user's intent.
Important Google Search Updates 2001 - 2010
While Google search began in 1997 it becomes quite popular in the year 2000. Google made several broad changes to its search results. Many of these changes were designed to directly penalize SEO hacks and black-hat techniques used in an attempt to trick Google search into ranking pages higher than they were worth. Here is a shortlist of some documented changes by Google.
... penalize SEO hacks and black-hat techniques used in an attempt to trick Google search into ranking pages higher than they were worth.
2003 - penalized sites using black-hat keyword tactics
2005 - penalized websites using backlink spam
2006 - penalized websites using backlink spam
2009 - awarded established brands with trust signals
2010 - penalized websites with poor content
2010 - awarded sites with original content
Important Google Search Updates 2011 - 2020
There have been several impactful updates to Google Search in the past ten years. Here we will review eight of the most important. With each update, we offer a short description, a list summary, and a few tips to help improve your SEO.
Google "Panda" Search Update 2011
The Panda update was aimed to award value to high-quality websites, and penalize low-quality websites. The Panda update was important because it addresses several bad website design practices.
Summary
penalized websites with thin content, duplicate, and low-quality content
penalized websites with a lack of authority or trust
penalized websites that used content farming practices
penalize websites with a high ad-to-content ratio
penalize websites that other users are blocking
SEO Tips
stop content farming
reduce the number of ads
remove duplicate content
use Robots.txt to stop Google from indexing some pages
Google "Penguin" Search Update 2012
The Penguin update was an effort to award high-quality websites and penalized websites that engaged in manipulative link-building strategies and keyword stuffing.
The Penguin updates were a series of 10 updates from 2012 - 2016. You can find out more information by searching "Google Penguin 1.0", "Google Penguin 2.0", "Google Penguin 3.0", and "Google Penguin 4.0".
Summary
penalized websites with manipulative back-link strategies
penalized websites using keyword stuffing techniques
SEO Tips
remove any unnatural links to your website
disavowal spammy links you can't remove
do not stuff keywords into your website
Google "Hummingbird" Search Update 2013
The Google Hummingbird update was a major overhaul of the search algorithm. This was the first major core update that indicates the commitment of Google Search to understand and intuit the intent of a user.
Search intent is easily understood with the contrast of two questions: "what are you searching for?" and "what do you hope to find?" The Hummingbird update aimed to bridge the gap between what a user is searching for and what (Google believes) they want to find.
The Hummingbird update aimed to bridge the gap between what a user is searching for and what (Google believes) they want to find.
Search intent is the term used to refer to the actual intent of the search engine user. Search algorithms will determine what they think they a user meant and use that in the page rank algorithm for a given query.
Hummingbird was a major step toward advanced SERP results using the Google's knowledge graph, and NLP processing of semantic search. This update also enabled future voice search features and usefulness.
Summary
Google wants to understand users intent
Google will show results for what it thinks you want to find
SEO Tips
write content for the search queries of your target market
identify the location and range of your services
Google "Pigeon" Search Update 2014
The Google Pigeon update had a large effect on local SEO. Google previously had separated some features in local search from their web search algorithm. The Pigeon update helped to combine them.
With this update, Google effectively calculates the distance from a search query to the set of matching businesses in their local area. Google will then use these metrics to show particular local businesses based on distance and a variety of other ranking factors.
Summary
Google will consider distance and location when serving a SERP
SEO Tips
improve your local SEO
stay consistent with traditional SEO strategies
report spam results for queries where you should be ranking
Google "Mobilegeddon" Search Update 2015
A Google search update gave priority to websites that display well on smartphones and mobile devices. An increasing number of people are searching with Google through their mobile devices, and the SERP results now reflect websites designed to work well on mobile.
An increasing number of people are searching with Google through their mobile devices, and the SERP results now reflect websites designed to work well on mobile.
The term "Mobilegeddon" was an overblown euphemism used in the SEO industry to create a sense of drama. Non-mobile-friendly websites only reported an average decreased of 21% in the SERP position. This update only applied to search queries made from a mobile device.
Summary
penalized websites that were no mobile-friendly
awarded websites that were mobile-friendly
SEO Tips
make website mobile-friendly
Google "RankBrain" Search Update 2015
The Google RankBrain update was an improvement to the way semantic intent was interpreted through the use of machine learning. Search queries are now interpreted by a machine learning model to help improve the relevance of top search results.
Summary
machine learning is used to help determine a context
identical search queries may produce different SERP based on user data
search is better at grouping and categorizing like terms
SEO Tips
create content that addresses the needs of your users
consider the signals you want to serve and build a brand
Google "BERT" Search Update 2019
The Google BERT update is the result of a culmination and improvement upon many specific natural language processing and machine learning models used to infer a search user's intent.
BERT stands for "bidirectional encoder representations from transformers. This is a deep learning model that connects every output to every input with dynamic weights based on their connection.
Google search becomes better at understanding questions
BERT is an unsupervised deep neural network that was pre-trained on Wikipedia content. The model was trained to identify "masked" words through context before and after.
Summary
Google search becomes better at understanding questions
SEO Tips
focus on creating good content
don't over-hype any single Google search update
Google "Medic" Search Update 2020
The Google Medic update was a broad global change to search engine results for websites that were classified as medical, financial, or legal. The acronym YMYL know as "Your Money or Your Life" is used to capture the relevant topics this update has affected.
Google evaluates the quality of a website through its EAT signals, that is how it measures authority or domain expertise, authoritativeness, and trustworthiness.
Google evaluates the quality of a website through its EAT signals, that is how it measures authority or domain expertise, authoritativeness, and trustworthiness.
Summary
affected search ranking for websites with medical, legal, and financial content
awarded or penalized YMYL websites based on their expertise, authority, and trust signals
SEO Tips
focus on product and service safety
manage reputation
develop domain authority
ensure content is accurate and high quality
References
“Google Search Algorithm Updates : Search Engine Roundtable.” Seroundtable, www.seroundtable.com/category/google-updates. Accessed 5 August 2021.
“Google Algorithm Updates & Changes: A Complete History.” Search Engine Journal, www.searchenginejournal.com/google-algorithm-history/. Accessed 5 August 2021.
Summary
Google will continue to update its search algorithm with major core and minor updates. There have been many significant updates in the last twenty years that have affected the rank position of websites.
It is important to consider the history of Google's search updates to understand the context and direction of possible future changes.
It is important to consider the history of Google's search updates to understand the context and direction of possible future changes. Most of the updates have been directly focused on penalizing websites using malicious tactics to artificially inflate their rank position or award high-quality websites for their content and trust signals.
Google has and will likely continue to make improvements in the areas of natural language processing and semantic understanding to better improve search results based on the apparent intent of search users.