You are currently viewing Search Engine Optimization(SEO) Made Simple: A Step-by-Step Guide

Search Engine Optimization(SEO) Made Simple: A Step-by-Step Guide

What Is Search Engine Optimization(SEO)?

Search Engine Optimization (SEO) is about increasing your website’s visibility in the organic search results of major search engines. (SEO) is the process of optimizing your online content so that a search engine likes to show it as a top result for searches of a specific keyword. There’s you, the search engine, and the searcher when it comes to SEO.

Web optimization is likewise more mind-boggling than any other time today. 

It takes something beyond building joins, making any old substance, and adding a couple of catchphrases to improve your natural pursuit rankings and increment the probability of your business or brand. 

You need to monitor and comprehend: 

Arising patterns (e.g., voice search). 

Algorithmic changes. 

Your crowd what they need!

In other words:

Search engine optimization (SEO) is the practice of getting targeted traffic to a website from a search engine’s organic rankings. Typical tasks associated with SEO include creating high-quality content, optimizing content around specific keywords, and building backlinks.

SEO is about improving a site

How Search Engines Work

Now we can talk about how search engines like Google, Bing work.

Search engines work by crawling hundreds of billions of pages using their web crawlers. When you search for something in Google (or any other search engine), an algorithm works in real-time to bring you what that search engine considers the “best” result.

These web crawlers are commonly referred to as search engine bots or spiders. A search engine navigates the web by downloading web pages and following links on these pages to discover new pages that have been made available.

SEO is about improving a site’s rankings in the organic (non-paid) section of the search results.

Let’s talk about Google. How does Google determine the “best” result?

Google doesn’t make the inner workings of its algorithm publicly. Based on filed patents and statements from Google, we know that websites and web pages are ranked based on:

talk about these three things

Relevancy

Relevance refers to the importance of a digital document regarding a search query. It can apply to simple search engines within websites and more complex search processes like web search. Relevant texts are essential for search engines like Google(or any other search engine).

Let’s find “food recipes” on search engines.

If you search for “food recipes,” you don’t want to see web pages about truck tires.

That’s why Google looks first and foremost for pages closely related to your keyword.

However, Google doesn’t simply rank “the most relevant pages at the top.” That’s because there are thousands (or even millions) of relevant pages for every search term.

For example, the keyword “cookie recipes” brings up 282 million results in Google:

So to place the outcomes in a request that bubbles the best to the top, they depend on three different components of their algorithm:

Authority

Authority is very much like it sounds: it’s Google’s method of deciding whether the content is accurate and trustworthy.

Page Authority (PA) is a score created by Moz that predicts how well a particular page will rank on web index result pages (SERP). Page Authority scores range from one to 100, with higher scores relating to a more prominent organizing capacity.

The inquiry is: how can Google say whether a page is legitimate?

They take a gander at the number of different pages that connect to that page:

(Connections from different pages are known as “backlinks”)

When all is said in done, the more connections a page has, the higher it will rank:

(In fact, Google’s capacity to gauge authority through joins is which isolates it from web indexes, similar to Yahoo, that preceded it.)

Usefulness

Content can be relevant and authoritative. In any case, if it’s not helpful, Google will not have any desire to situate that content at the highest point of the query items. 

Google has openly said that there’s a differentiation between “higher quality content & useful content”.

According to Wikipedia 

Search engine optimization (redirect from SEO Consultants)

optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid

Web admins and content providers began optimizing websites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all webmasters only needed to submit the address of a page, or URL, to the various engines which would send a web crawler to crawl that page, extract links to other pages from it, and return information found on the page to be indexed. The process involves a search engine spider downloading a page and storing it on the search engine’s server. A second program, known as an indexer, extracts information about the page, such as the words it contains, where they are located, and any weight for specific terms and all links the page contains. All of this information is then placed into a scheduler to crawl later.

Website owners recognized the value of a high ranking and visibility in search engine results, creating an opportunity for both white hat and black hat SEO practitioners. According to industry analyst Danny Sullivan, the phrase “search engine optimization” probably came into use in 1997. Sullivan credits Bruce Clay as one of the first people to popularize the term. Early search algorithms relied on webmaster-provided information such as the keyword meta tag or index files in engines like ALIWEB. Meta tags provide a guide to each page’s content.

Using metadata to index pages was less than reliable because the webmaster’s choice of keywords in the meta tag could be an inaccurate representation of the site’s actual content. Inaccurate, incomplete, and inconsistent data in meta tags could cause pages to rank for irrelevant searches. Dubious – discuss Web content providers also manipulated some attributes within the HTML source of a page to rank well in search engines. By 1997, search engine designers recognized that web admins were making efforts to rank well in their search engine and that some webmasters were even manipulating their rankings in search results by stuffing pages with excessive or irrelevant keywords. Early search engines, such as Altavista and Infoseek, adjusted their algorithms to prevent web admins from manipulating rankings. By heavily relying on factors such as keyword density, which were exclusively within a webmaster’s control, early search engines suffered from abuse and ranking manipulation. Search engines had to adapt to ensure their results pages showed the most relevant search results, rather than unrelated pages stuffed with numerous keywords by unscrupulous webmasters to provide better results to their users. This meant moving away from heavy reliance on term density to a more holistic process for scoring semantic signals. Since the success and popularity of a search engine are determined by its ability to produce the most relevant results to any given search, poor quality or irrelevant search results could lead users to find other search sources. Search engines responded by developing more complex ranking algorithms, taking into account additional factors that were more difficult for web admins to manipulate.

Companies that employ overly aggressive techniques can get their client websites banned from the search results. In 2005, the Wall Street Journal reported on a company, Traffic Power, which allegedly used high-risk techniques and failed to disclose those risks to its clients. Wired magazine reported that the same company sued blogger and SEO Aaron Wall for writing about the ban. Google’s Matt Cutts later confirmed that Google did ban Traffic Power and its clients.

Some search engines have also reached out to the SEO industry and are frequent sponsors and guests at SEO conferences, webchats, and seminars. Major search engines provide information and guidelines to help with website optimization. Google has a Sitemaps program to help web admins learn if Google has any problems indexing their website and provides data on Google traffic to the website. Bing Webmaster Tools provides a way for webmasters to submit a sitemap and web feeds, allows users to determine the “crawl rate,” and track the web pages’ index status.

In 2015, it was reported that Google was developing and promoting mobile search as a key feature within future products. Many brands began to take a different approach to their Internet marketing strategies in response.

Relationship with Google

In 1998, two graduate students at Stanford University, Larry Page and Sergey Brin, developed “Backrub,” a search engine that relied on a mathematical algorithm to rate the prominence of web pages. The number calculated by the algorithm, PageRank, is a function of the quantity and strength of inbound links. PageRank estimates the likelihood that a given page will be reached by a web user who randomly surfs the Web and follows links from one page to another. In effect, this means that some links are stronger than others, as a higher PageRank page is more likely to be reached by the random web surfer.

Page and Brin founded Google in 1998. Google attracted a loyal following among the growing number of Internet users, who liked its simple design. Off-page factors (such as PageRank and hyperlink analysis) were considered, and on-page factors (such as keyword frequency, meta tags, headings, links and site structure) to enable Google to avoid the kind of manipulation seen in search engines that only considered on-page factors for their rankings. Although PageRank was more challenging to game, web admins had already developed link-building tools and schemes to influence the Inktomi search engine, and these methods proved similarly applicable to gaming PageRank. Many sites focused on exchanging, buying, and selling links, often on a massive scale. Some of these schemes, or link farms, involved creating thousands of sites for the sole purpose of link spamming.

By 2004, search engines had incorporated a wide range of undisclosed factors in their ranking algorithms to reduce the impact of link manipulation. 

In June 2007, The New York Times’ Saul Hansell stated Google ranks sites using more than 200 different signals. The leading search engines, Google, Bing, and Yahoo, do not disclose the algorithms they use to rank pages. Some SEO practitioners have studied different approaches to search engine optimization and have shared their personal opinions. Patents related to search engines can provide information to understand search engines better.

In 2005, Google began personalizing search results for each user. Depending on their history of previous searches, Google crafted results for logged-in users.

In 2007, Google announced a campaign against paid links that transfer PageRank. On June 15, 2009, Google disclosed that they had taken measures to mitigate the effects of PageRank sculpting using the Nofollow attribute on links. Matt Cutts, a well-known software engineer at Google, announced that Google Bot would no longer treat any no-follow links, in the same way, to prevent SEO service providers from using no-follow for PageRank sculpting. As a result of this change, the usage of no-follow led to the evaporation of PageRank. To avoid the above, SEO engineers developed alternative techniques that replace no-followed tags with obfuscated and permit PageRank sculpting. Additionally, several solutions have been suggested, including the usage of iframes, Flash and JavaScript.

In December 2009, Google announced it would be using the web search history of all its users to populate search results. On June 8, 2010, a new web indexing system called Google Caffeine was announced. Designed to allow users to find news results, forum posts, and other content much sooner after publishing than before, Google Caffeine changed to how Google updated its index to make things show up quicker on Google than before. According to Carrie Grimes, the software engineer who announced Caffeine for Google, “Caffeine provides 50 percent fresher results for web searches than our last index…” Google Instant, real-time-search, was introduced in late 2010 to make search results more timely and relevant. Historically site administrators have spent months or even years optimizing a website to increase search rankings. With the growth in popularity of social media sites and blogs, the leading engines changed their algorithms to allow fresh content to rank quickly within the search results.

In February 2011, Google announced the Panda update, penalizing websites containing content duplicated from other websites and sources. Historically websites have copied content from one another and benefited in search engine rankings by engaging in this practice. However, Google implemented a new system that punishes sites whose content is not unique. 

The 2012 Google Penguin attempted to penalize websites that used manipulative techniques to improve their rankings on the search engine. Although Google Penguin has been presented as an algorithm aimed at fighting web spam, it focuses on spammy links by gauging the sites’ quality. 

The 2013 Google Hummingbird update featured an algorithm change designed to improve Google’s natural language processing and semantic understanding of web pages. Hummingbird’s language processing system falls under the newly recognized term of “conversational search,” where the system pays more attention to each word in the query to match better the pages to the meaning of the query rather than a few words. Regarding the changes made to search engine optimization for content publishers and writers, Hummingbird is intended to resolve issues by getting rid of irrelevant content and spam, allowing Google to produce high-quality content and rely on them to be ‘trusted’ authors.

In October 2019, Google announced they would start applying BERT models for English language search queries in the US. Bidirectional Encoder Representations from Transformers (BERT) was another attempt by Google to improve their natural language processing and better understand their users’ search queries. In terms of search engine optimization, BERT intended to connect users more easily to relevant content and increase the quality of traffic coming to websites ranking in the Search Engine Results Page.