How Search Engines Operate

Search engines consist of two important functions: building an index and crawling, as well as offering search users with a list of ranked sites that have been determined to be the most relevant.

1.Indexing and Crawling

Imagine the internet as a network of stops in a massive subway station. Every stop provides a unique document, such as JPG, PDF, or a web page. Search engines require a way to crawl the subway station and locate all stops on its way, and therefore they utilize the best way possible, links.

A web link structure essentially helps to connect all the pages together. Website links allow the automated robots of search engines, known as spiders or crawlers, to reach the millions of interconnected documents on the internet. After the search engines locate these pages, the code is deciphered and stored in pieces on gigantic databases so that it can be recalled at a later stage for a search query. To achieve this incredible task of holding pages that reach into the billions, search engine companies have datacentres constructed across the globe to ensure it can be accessed in a matter of seconds.

These enormous facilities hold several machines that can process huge quantities of information in a fraction of a second. Once a user performs a search, they demand instant results, even a slight delay will cause dissatisfaction, and therefore search engines work at optimal speed to provide an instant answer.

2. Providing Answers

Search engines can be seen as answering machines. Once a user performs a search on the internet, the search engine will scour billions of documents and will complete two things: it will only offer results that are useful or relevant to the user’s query, and it will rank results according to the website’s popularity that provides the information. It’s both the popularity and the relevance that the SEO process is meant to influence.

Relevance for a search engine means much more than simply locating a page that contains the right words. During the early days of the internet, search engines could only perform simple steps and these steps were of limited value. As technology advanced, clever engineers designed better ways for a search to be matched to a user’s query. These days, thousands of different factors will influence relevance.

Search engines usually assume that the more popular a document, page, or site is, the more valuable the information will be. This has proved to be extremely successful when it comes to the satisfaction of users and their search results.

Relevance and popularity aren’t manually determined. Instead, mathematical equations are employed by the search engines to successfully sort the chaff from the wheat, followed by ranking the wheat in order of its quality. These mathematical equations usually comprise of thousands of variables. Within the search marketing field, we can also consider them as ranking factors. This remains the best way to locate the perfect match for any user that decides to search the internet.