Introduction to Search Engine Optimization
Search engine optimization (SEO) is the process of improving the volume or quality of traffic to a web site from search engines via organic or algorithmic search results.
Search engine optimization – Site appears in the search results list, the more visitors it will receive from the search engine.SEO may target different kinds of search, including image search, local search, and industry-specific vertical search engines. More over this gives a web site web presence in World Wide Web.
As an Internet marketing strategy, SEO considers how search engines work and what people search for. Optimizing a website primarily involves editing its content and HTML coding to both increase its relevance to specific keywords and to remove barriers to the indexing activities of search engines.
The acronym “SEO” can also refer to “Search Engine Optimizers” a term adopted by an industry of consultants who carry out optimization projects on behalf of clients, and by employees who perform SEO services in-house.
Search Engine Optimizers may offer SEO as a stand-alone service or as a part of a broader marketing campaign. Because effective SEO may require changes to the HTML source code of a site, SEO tactics may be incorporated into web site development and design. The term “search engine friendly” may be used to describe web site designs, menus, content management systems and shopping carts that are easy to optimize.
Another class of techniques, known as black hat SEO or Spamdexing, use methods such as link farms and keyword stuffing that decrease both the relevance of search results and the user-experience of search engines. Search engines look for sites that employ these techniques in order to remove them from their indices.
Webmasters and content providers began optimizing sites for search engines in the mid-1990s, as the first search engines were cataloging the early Web. Initially, all a webmaster needed to do was submit a page, or URL, to the various engines which would send a spider 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 own server, where a second program, known as an indexer, extracts various information about the page, such as the words it contains and where these are located, as well as any weight for specific words, as well as any and all links the page contains, which are then placed into a scheduler for crawling at a later date.
Site owners started to recognize the value of having their sites highly ranked and visible in search engine results, creating an opportunity for both white hat and black hat SEO practitioners.
Early versions of search algorithms relied on webmaster-provided information such as the keyword meta tag, or index files in engines. Meta tags provide a guide to each page’s content.
Web content providers also manipulated a number of attributes within the HTML source of a page in an attempt to rank well in search engines.
By relying so much on factors such as keyword density which were exclusively within a webmaster’s control, early search engines suffered from abuse and ranking manipulation. To provide better results to their users, 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.
Since the success and popularity of a search engine is determined by its ability to produce the most relevant results to any given search, allowing those results to be false would turn 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 webmasters to manipulate.
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 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 as well as
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 difficult to game, webmasters had already developed link building tools and schemes to influence, 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 the creation of thousands of sites for the sole purpose of link spamming.
By 2007, search engines had incorporated a wide range of undisclosed factors in their ranking algorithms to reduce the impact of link manipulation. Google says it ranks sites using more than 200 different signals.
The three leading search engines, Google, Yahoo and Microsoft’s Live Search BING, do not disclose the algorithms they use to rank pages. Notable SEOs, such as Rand Fishkin, Barry Schwartz, Aaron Wall and Jill Whalen, have studied different approaches to search engine optimization, and have published their opinions in online forums and blogs.
SEO practitioners may also study patents held by various search engines to gain insight into the algorithms.