Search Engine

What Is A Search Engine? Everything You Should Know

Utilizing a search engine is simple: You open up any web page, enter a few keywords into the search bar, and there you have it; millions of results emerge in a fraction of a second. 

A Google search for search engines, for instance, provides 1.43 billion results in just 0.69 seconds. 

But how, exactly? 

Here is how the wild web became completely indexed, ranked, and searchable in less than a decade.

Also Check: Is DuckDuckGo A Good Search Engine?

What Is A Search Engine?

A search engine is software created for retrieving specific data. 

The type of search engine the majority of us know is the internet search engine, which is a web service that locates data on the internet (at times known as the world wide web) based on the user’s query, which is usually a set of keywords.

Search Engine
Search Engine

Today, a lot of individuals think search engines are synonymous with web browsers, thanks in part to the Chrome web browser creating search engine functionality into the web address bar. But search engines are actually web services particularly created for retrieving information. 

They can be accessed simply from any web browser, but they are diverse technologies.

How Do Search Engines Actually Work?

Google is the most commonly utilized web search engine. Google search happens in the below three stages:


Crawlers find what pages exist on the internet. A search engine continually looks for updated and new pages to append to the list of recognized pages. 

It’s referred to as URL discovery. Once a page is found, the crawler observes the content. The search engine utilizes an algorithm to pick which pages to crawl and how frequently.


After the page is crawled, the content is analyzed, processed, and tagged with metadata and attributes that assist the search engine in comprehending what the content is actually about. 

It also allows the search engine to remove duplicate pages and gather signals about the content, like the region or country the page is local to and the page usability.

Searching & Ranking:

When a user types in a keyword, the search engine searches the index for similar pages and returns the results that seem the most relevant on the SERP (Search Engine Results Page). 

The engine ranks content on numerous factors, like the page’s authoritativeness, keywords a page has, and backlinks to the page.

Specialized content search engines are choosier about the parts of the internet they crawl and index. 

For instance, Creative Commons Search is the search engine for the content shared openly for reuse under the Creative Commons license. It just looks for that particular type of content.

Country-specific search engines might prioritize sites presented in the country’s native language over English sites. 

Individual sites, like large corporate websites, might utilize a search engine for indexing and retrieving only content from that company’s website. 

A few of the major search engine companies sell or license their search engines for usage on individual websites.

How Do Search Engines Rank Results?

A single search might turn up billions of related web pages, so the job of the search engine is actually to sort such listings utilizing ranking algorithms. 

And although such algorithms are created to provide you with the top answers to the queries, they’re biased towards certain things.

Search engines desire to show you results that you will click on, and they utilize various factors for ranking results according to what they think you will engage with. Such comprise but are not limited to:

Page Content:

Search engines prioritize top-quality content by analyzing the breadth, depth, and length of web pages.

Usage Of Keywords:

The search results ought to match at least a few of the words in the query. 

Search engines prioritize pages on which such keywords emerge in a prominent position, like the page title, or frequently throughout the page.

User Information:

Search engines such as Google utilize your personal details, like location and search history, to provide results that are uniquely relevant to you.


Backlinks, or mentions of one site on some other site, can be seen as a vote towards the authority of that website. 

Pioneered by Google PageRank, backlink ranking rates the different pages based on how many other websites link back to that website and how highly such websites rank.

What Is The Objective Of Search Engines?

The main objective of a search engine is to assist users in searching for and locating information. 

Search engines are created to provide users with the correct information based on a set of criteria, like relevance and quality.

Website and webpage providers utilize search engines to make money and to collect information like clickstream data about searchers. 

These are secondary objectives that need users to trust that the content they’re receiving on a SERP is sufficient for engaging with it. 

Users have to see the data they are getting is the correct information. User trust can be earned in diverse ways, comprising the following:


Google seeks to establish a page’s authority for identifying it as the source of true info.

Organic Results: 

Unpaid, organic results are seen as more dependable than ad-based, paid search results.


DuckDuckGo is a search engine that utilizes privacy protection to establish trust. It protects user privacy and evades skewed results that can originate from utilizing personal information for targeting users or placing them in limited search categories, recognized as filter bubbles.

Types Of Search Engines:

Mainstream search engines such as Google may be top of mind when we dwell on search engines, but there are other search engine types that permit us to navigate the internet.

Mainstream Search Engines:

These search engines, such as Yahoo! Bing, and Google, are all free to utilize and supported by online advertising. 

They all utilize variations of the same strategy (indexing, crawling, and ranking) to allow you to search the entirety of the internet.

Vertical Search Engines:

Specialized search or vertical search is a method of narrowing the search to one subject category rather than the entirety of the web. Examples of such search engines comprise:

  • Searchable social media websites and applications such as Pinterest
  • Google Scholar, which indexes scholarly literature across publications
  • The search bar on shopping websites such as Amazon and eBay

Private Search Engines:

These search engines have risen in popularity recently because of the privacy concerns raised by the information collection practices of some mainstream search engines. 

These comprise ad-supported, anonymous search engines such as DuckDuckGo and ad-free, private search engines.

Computational Search Engines:

WolframAlpha is an example of a computational search engine devoted to answering queries related to science and math.

How Do Search Engines Make Money?

Search engines make money in numerous ways, comprising the following:

User Data:

Search engines also make cash from the user data that they save. Examples comprise location data and search history. 

This data is utilized for creating a digital profile for the given searcher, which search engine providers can utilize for serving targeted advertisements to that user.

Pay-Per-Click Advertisements:

Advertisers or 3rd-party advertising networks place advertisements on SERPs and on the content itself. 

The more clicks or views a search-related query gets, the more advertisers disburse to have their ads associated with it.


A few search engines are created to assist nonprofits in soliciting donations.

Contextual Advertisements:

Search engines also capitalize on giving contextual advertisements that are related directly to the user’s current search. 

If a search engine comprises a shopping feature on its platform, it may show contextual advertisements for products related to the user’s search in the site’s sidebar where ads are shown. 

For instance, if the online store sells books, an advertisement might appear in the page’s corner for reading glasses.

Affiliate Links:

A few engines comprise affiliate links, where the search engine has a partnership in which the partner disburses the search engine when a user clicks on the partner’s link.

Popular Search Engines:

Search technology has changed greatly since the development of the 1st search engine back in 1989. Here are the key players today.


There is only one search engine so well-known it became a verb synonymous with ‘to search.’

With 92.24% of the global search engine market share, this search engine is by far the world’s most popular and largest search engine. 


Google’s backlink-based ranking system and clean look earned users’ favor in the nineties, and it has maintained its dominance with near-constant improvements and a slew of high-class agreements with wireless carriers, device manufacturers, and web browser creators that funnel about sixty percent of the internet searches straight to Google.


Microsoft’s search engine, Bing, presently accounts for 2.29% of the global market share, making it the world’s 2nd major search engine.


Since its launch back in 2009, it has featured photography on the homepage, a stark contrast from the austere landing page on Google.


Yahoo!’s combination web portal, news website, and search engine make up 1.52% of the search engine market share.


From the humble start of David and Jerry’s Guide to the WWW, it became a major search engine and was sold to Verizon for 4.48 billion dollars in 2017.


It’s a Chinese search engine accounting for 1.48% of the global search engine market.


Like Google, Baidu began as a search engine and is now one of China’s major tech companies.


DuckDuckGo is an advertisement-supported, private search engine that presently accounts for 0.58% of the global market share.


How Do Search Engines Personalize Results?

Search engines actually personalize results based on the digital searcher profiles made from the user data. 

User data is collected from the device or application a user accesses the search engine with. The collected user data comprises the following:

  • Purchase history
  • Contact lists
  • Audio data
  • Location information
  • Search date and time
  • Search History
  • Device diagnostic data
  • IP address
  • Device identification
  • User ID

Cookies are utilized for tracking browsing history and other information. They’re small text files sent from the sites a user opens to their browser. 

Search engines utilize cookies for tracking user preferences and personalizing advertisements and results. 

They are capable of remembering settings, like content filters, language preferences, passwords, session data, and how many results per page.

Utilizing incognito browsing or private browsing settings protects users from tracking but just at the device level. 

Search history and other data collected during the search aren’t saved and are removed after the search session. 

However, ISPs, employers, and the domain owners of the sites visited are capable of tracking digital data left behind during the search.

Major Innovations In Search Engine Technology:

Since the launch of the 1st search engine back in the 1990s, the field’s frontrunners have innovated in search technology to serve more and more requirements with a single interface. 

Now, we do not necessarily need to leave the search engine results page to find the answers we are searching for. Here are a few of the major moments in the search engine technology evolution.

Machine Learning:

Microsoft created and launched RankNet back in 2005, which utilized machine learning for ranking related search results. 

A RankNet version would later be utilized by Microsoft Bing. Google introduced its own machine learning part, RankBrain, back in 2015.

Universal Search: 

Back in 2007, Google released Universal Search, which incorporated a few of its diverse vertical search tools (like Books, News, Images, Maps, and Video) into one multimedia SERP (search engine results page). 

When you search sunset images on and see an assortment of pictures at the top of the page in place of a list of links, that is a Universal Search. Before Universal Search, you’d have had to visit Google Images to locate pictures.

Localized Results: 

Back in 2012, Google started showing local results (based on the user’s IP address) for general searches. 

It denoted that when you look for T-shirts, for example, Google may recommend a close-by T-shirt printer, whereas formerly, only looking for T-shirts near Brooklyn would prompt Maps integration.

In 2016, Google began leveraging smartphone location services and Wi-Fi positioning (which utilizes the location of close-by hotspots for pinpointing your location) to give you local search results on the precise location.


Google presented its Hummingbird algorithm back in 2013, which looked beyond the user’s search terms, utilizing context to try to determine their intent. 

For instance, a search such as what’s the weather will show local weather results, not an explanation of the weather concept; a search for weather without the ‘what is’ will list different news stories from

Knowledge Graph: 

Google acquired Freebase and Metaweb, its database of over twelve million things, back in 2010. It laid the foundation for Knowledge Graph, which launched back in 2012. 

This technology permits users to get data from other sites without leaving the search engine results page; when you see a Wikipedia snippet to the right of the search results, that is the Knowledge Graph. 

It had extensive consequences: In 2020, about sixty-five percent of Google searches ended without the user clicking any search results, presumably because they located what they were searching for on the SERP. 

(Google argued that there are a lot of reasons a search result may end without any clicks, like reformulating a query.)

The Future Of Search Engines:

Search engines and the companies that create them are likely to utilize new technologies to improve the relevance, accuracy, and quality of the answers these search engines offer. 

They will also utilize advanced technologies, like artificial intelligence, to improve user experience in the future. 

For instance, a user may someday be capable of uploading an image of a PC to Google, ask, “Is it a good PC for gaming?” and get a nuanced, thoughtful answer.

Google is likely to continue retaining most of the search market. 

Given that, SEO companies can anticipate Google to keep updating the main search engine algorithm periodically. Google does so to keep such companies from optimizing content for a particular algorithm.

However, more niche engines may appear in the future to offer the privacy and specificity that a lot of users think Google lacks. 

Users might gravitate to different search tools that offer enhanced privacy or better quality by just indexing a portion of the internet.

A few specialists also believe that search engine use is decreasing because more info-seeking will take place on other apps and social media websites, like LinkedIn, TikTok, and Facebook, in the future.


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