Seo Search Engine Optimazation ! What is SEO in Bengali ! How To Rank Higher In Youtube Or Blog

Seo Search Engine Optimazation ! What is SEO in Bengali ! How To Rank Higher In Youtube Or Blog


SEO is a marketing discipline focused on growing visibility in organic (non-paid) search engine results. SEO encompasses both the technical and creative elements required to improve rankings, drive traffic, and increase awareness in search engines. There are many aspects to SEO, from the words on your page to the way other sites link to you on the web. Sometimes SEO is simply a matter of making sure your site is structured in a way that search engines understand.

SEO isn’t just about building search engine-friendly websites. It’s about making your site better for people too. At Moz we believe these principles go hand-in-hand.

This guide is designed to describe all areas of SEO—from finding the terms and phrases (keywords) that GENERATE traffic to your website, to making your site friendly to search engines, to building links and marketing the unique value of your site. If you are confused about this stuff, you are not alone, and we’re here to help.
Search engines have two major functions: crawling and building an index, and providing search users with a ranked list of the websites they’ve determined are the most relevant.
Imagine the World Wide Web as a network of stops in a big city subway system.

Each stop is a unique document (usually a web page, but sometimes a PDF, JPG, or other file). The search engines need a way to “crawl” the entire city and find all the stops along the way, so they use the best path available—links.

Crawling and Indexing
Crawling and indexing the billions of documents, pages, files, news, videos, and media on the World Wide Web.

Providing Answers
Providing answers to user queries, most frequently through lists of relevant pages that they’ve retrieved and ranked for relevancy.

The link structure of the web serves to bind all of the pages together.

Links allow the search engines’ automated robots, called “crawlers” or “spiders,” to reach the many billions of interconnected documents on the web.

Once the engines find these pages, they decipher the code from them and store selected pieces in massive databases, to be recalled later when needed for a search query. To accomplish the monumental task of holding billions of pages that can be accessed in a fraction of a second, the search engine companies have constructed datacenters all over the world.

These monstrous storage facilities hold thousands of machines processing large quantities of information very quickly. When a person performs a search at any of the major engines, they demand results instantaneously; even a one- or two-second delay can cause dissatisfaction, so the engines work hard to provide answers as fast as possible.Search engines are answer machines. When a person performs an online search, the search engine scours its corpus of billions of documents and does two things: first, it returns only those results that are relevant or useful to the searcher’s query; second, it ranks those results according to the popularity of the websites serving the information. It is both relevance and popularity that the process of SEO is meant to influence.To a search engine, relevance means more than finding a page with the right words. In the early days of the web, search engines didn’t go much further than this simplistic step, and search results were of limited value. Over the years, smart engineers have devised better ways to match results to searchers’ queries. Today, hundreds of factors influence relevance, and we’ll discuss the most IMPORTANT of these in this guide.

Search engines typically assume that the more popular a site, page, or document, the more valuable the information it contains must be. This assumption has proven fairly successful in terms of user satisfaction with search results.

Popularity and relevance aren’t determined manually. Instead, the engines employ mathematical equations (algorithms) to sort the wheat from the chaff (relevance), and then to rank the wheat in order of quality (popularity).

These algorithms often comprise hundreds of variables. In the search marketing field, we refer to them as “ranking factors.” We crafted a resource specifically on this subject: Search.

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