Google, the giant of online search, uses a complex variety of algorithms to index, rank and present web pages to its users. These algorithms, constantly evolving, determine the visibility of your website in Google’s search results. As an SEO expert, understanding how these algorithms work can help you optimise your site to achieve better rankings. Here is a detailed exploration of these algorithms.
How Google’s Algorithm Works
The workings of Google and its algorithm is a complex system that searches, ranks and displays web pages according to their relevance to a given query. Understanding how it works is essential for website owners who wish to optimise their SEO.
Explanation of the Web Page Search and Ranking Process
When a user performs a search on Google, the algorithm analyses billions of web pages to find the most relevant ones. It uses various criteria such as keywords, content quality, relevance of external links, etc.
Then, the algorithm ranks the pages according to their relevance and displays them in the search results. This happens in a fraction of a second, allowing the user to obtain results quickly.
Web Crawling and Web Page Indexing
When you perform a search on Google, you get a list of relevant results almost instantly. This is made possible by the process of web crawling and web page indexing.
Web crawling, also known as web crawling, is the process by which Google explores and discovers new web pages. Google’s crawling robots, called Googlebots, browse the web by following links between different pages. These robots follow links from one page to another, collecting information about each visited page.
Once Googlebot has crawled a page, it records the collected information in an index. The index is a database that contains detailed information about each crawled web page. This index is then used to generate search results.
Indexing web pages plays an essential role in natural SEO. When a website is indexed, it means that the pages of that site appear in Google’s index and can potentially be displayed in search results.
For your website to be indexed, it is important to ensure that all pages are accessible to Google’s crawling robots.
You can optionally make Googlebot’s task easier by adding a robots.txt file to the root of your website. It is also important to create an XML sitemap for your website. An XML sitemap is a file that lists all the pages of your site, thus allowing Google’s crawling robots to find them more easily.
In summary, web crawling and web page indexing are crucial steps in how Google’s algorithm works. Make sure your website is well-structured and that all your pages are accessible to crawling robots in order to improve your natural SEO.
The Different Components of Google’s Algorithm
Google’s algorithms are not one, but a multitude of complex systems working together to generate search results. These algorithms scan the web, analyse information and rank web pages according to various factors. Let us look more closely at the different key components of this algorithm, including PageRank for page ranking, Panda for evaluating content quality, Pigeon for local search and many others.
Google uses different algorithms to rank web pages in its search results
These algorithms take into account several factors such as keyword relevance, the quantity and quality of content, user experience, etc.
The sum of all ranking algorithms is called, in Google’s patents, the IR score, IR standing for information retrieval.
Examples of ranking algorithms used by Google are:
PageRank
PageRank is Google’s best-known algorithm for ranking pages in the search engine. To simplify it, we say that a link from one site redirecting to another site transmits popularity.
Google EAT
EAT or E-A-T is a Google concept grouping a multitude of algorithms. The acronym stands for “expertise”, “authority” and “trust”. “Expertise, Authoritativeness, Trustworthiness” in English.
Learning to Rank
Learning to Rank (LTR) is a machine learning technique employed by Google to determine the order of pages in its search results, by analysing and weighting various characteristics of web pages.
Google uses algorithms such as Panda, Penguin, Transition Rank and TrustRank to combat spam on the web and black hat SEO, thus ensuring quality search results and penalising malicious SEO practices.
Google Panda
Google Panda is a Google anti-spam filter algorithm focused on analysing web content. For example, detecting duplicate, insufficient or poor quality content.
Google Penguin
Google Penguin is an algorithm detecting web spam concerning the abusive use of backlinks by SEO practitioners. It acts mainly on the abusive use of exact anchors of external links.
Transition Rank
Transition Rank is a social engineering algorithm. The search engine watches the behaviour of spammers or “aggressive” SEO practitioners. It seeks to determine whether the webmaster has legitimate behaviour or is trying to manipulate search results.
Google’s algorithms such as Hummingbird, RankBrain, BERT and Google Knowledge Graph allow a deeper and more contextual understanding of search queries, thus improving the relevance and accuracy of results.
Google Knowledge Graph
Google Knowledge Graph is a knowledge base allowing Google to understand the true meaning of words.
Google Hummingbird
Google Hummingbird is an algorithm dedicated to semantic search directly influencing search results.
RankBrain
RankBrain is a machine learning algorithm enabling better semantic search. If RankBrain sees a word or phrase it does not know, the algorithm can guess what words or phrases might be similar and change the result accordingly, making it more effective at handling better search results.
BERT
BERT is a machine learning algorithm that allows it to understand human language. It also helps advance towards a semantic search engine.
To provide relevant results based on the user’s location, Google uses several specific algorithms and signals. Here are some of the most important:
Google Pigeon: Launched in 2014, this algorithm aims to improve the accuracy and relevance of local search results. It favours local businesses for queries specific to a region or locality.
Google Opossum: Updated in 2016, this algorithm had a significant impact on local search results. Its purpose is to diversify search results and prevent local results from being dominated by just a few businesses.
Google Venice: This update allowed local results to be integrated into the organic SERP. It allowed Google to better understand the local intent behind certain queries.
Mobile-Friendly Update (Mobilegeddon): Although not specifically intended for local search, this algorithm had a significant impact on local businesses, as it favours websites optimised for mobile devices, which is crucial for local searches.
It is important to note that local search at Google does not rely only on these algorithms, but also on other factors such as relevance, distance and notoriety, often summarised by the term “proximity, relevance and importance”.
The Development of the SERP (Search Engine Results Page)
The most relevant results are displayed at the top of the SERP, while less relevant results are relegated lower on the page.
The SERP includes different important elements for users. Firstly, the titles of web pages are displayed as clickable links. Users can therefore decide whether to click on a result based on the title and the description accompanying it.
In addition to titles, the SERP also displays descriptions of web pages, provided by meta description tags. These descriptions are meant to give users an overview of the content available on each page.
Furthermore, the SERP can also display text excerpts from the web pages themselves. These excerpts are often extracted from the body text and can give users more information about the content of a particular page.
Finally, the SERP can also display other elements such as images, videos, maps, reviews and much more, depending on the nature of the search performed by the user.
It is important to understand that every element present on the SERP has paramount importance for users. Consequently, it is essential to optimise the content and tags of your website to maximise its visibility and relevance on the SERP.
Relevance of Search Results
Google’s algorithm’s primary objective is to provide users with relevant results. This complex system uses several ranking factors to determine the relevance of results.
Google’s algorithm takes into account different criteria to evaluate the relevance of a web page in relation to a given search. Among the main Google ranking factors, we find:
Content: The quality and relevance of a page’s content are decisive. The richer, more informative the content and the more precisely it answers the user’s query, the more likely the page is to be considered relevant.
Links: External links pointing to a page are also taken into account. The more quality links a page receives from other websites, the more likely it is to be considered relevant.
User experience: The algorithm takes user experience into account, particularly the bounce rate and time spent on the page. If users stay a long time on a page and navigate actively, this is a sign of relevance.
Technical optimisation: The technical optimisation of a page, such as its loading speed, mobile compatibility or semantic markup, can also influence its relevance in the eyes of Google’s algorithm.
Etc…
Complete this reading with the article Google Leaks to find out everything about the search engine’s ranking factors.
Personalisation of Search Results
Google’s algorithm personalises search results based on user preferences and search history. This personalisation aims to improve the user experience by offering more relevant and tailored results.
Using various data, Google analyses each user’s search habits to identify their interests, preferences and specific needs. This data includes the user’s search history, websites they have visited, links they have clicked, interactions with search results, etc.
Thanks to this information, Google is able to personalise search results for each user. For example, if a user frequently searches for travel information, Google will favour travel-related websites in its search results for that specific user.
However, the personalisation of search results is not universally appreciated. Some users feel that this can limit their exposure to new information and perspectives. Indeed, by only showing results based on past preferences, Google’s algorithm risks creating a “filter bubble” where the user only sees what confirms their own beliefs and interests.
Conclusion on Google’s Algorithm
During this guide, we have explored different aspects of Google’s algorithm and how it works.
Here is a summary of the key points covered:
Google’s algorithm is a complex system used to determine the relevance of web pages in search results.
It constantly evolves in order to provide the best possible results to users.
The relevance of results is determined by many factors, such as the quality and authority of external links, content relevance, user experience, etc.
The development of the SERP (Search Engine Results Page), notably with the appearance of features such as featured snippets and local results, has changed the way search results are presented to users.
Google uses crawling robots to browse the web and index web pages, thus making them accessible to users when they search.
Personalisation of search results based on user preferences is also an important aspect of Google’s algorithm.
To optimise your website for Google’s algorithm, it is necessary to produce relevant and quality content, optimise the structure of your site, obtain quality external links, improve user experience, etc.
It is essential to understand and follow the developments of Google’s algorithm to ensure better online visibility. By staying informed of changes and adapting your SEO strategy accordingly, it is possible to position yourself optimally in search results and attract qualified traffic to your website.