
Search engine optimization
Search engine optimization (SEO) is a set of methods aimed at improving the ranking of a website in search engine listings through legal seo tips, and could be considered a subset of search engine marketing. Seo expert also refers to "search engine optimizers," an industry of consultants who carry out optimization projects on behalf of clients' sites. Some commentators, and even some seo expert, break down methods used by practitioners into categories such as "white hat SEO" (methods generally approved by search engines, such as building content and improving site quality), or "black hat SEO" (tricks such as cloaking and spamdexing). White hatters charge that black hat methods are an attempt to manipulate search rankings unfairly, seo expert does not use black hat methods, there are many seo expert who does not use this techniques you can learn seo tips through forum or article. Black hatters counter that all SEO is an attempt to manipulate rankings, and that the particular methods one uses to rank well are irrelevant.
Search engines display different kinds of listings in the search engine results pages (SERPs), including: pay per click advertisements, paid inclusion listings, and organic search results. SEO is primarily concerned with advancing the goals of a website by improving the number and position of its organic search results for a wide variety of relevant keywords. SEO strategies may increase both the number and quality of visitors. Search engine optimization is sometimes offered as a stand-alone service, or as a part of a larger marketing effort, and can often be very effective when incorporated into the initial development and design of a site.
For competitive, high-volume search terms, the cost of pay per click advertising can be substantial. Ranking well in the organic search results can provide the same targeted traffic at a potentially significant savings. Site owners may choose to optimize their sites for organic search, if the cost of optimization is less than the cost of advertising.
Not all sites have identical goals for search engine optimization. Some sites seek any and all traffic, and may be optimized to rank highly for common search phrases. A broad search optimization strategy can work for a site that has broad interest, such as a periodical, a directory, or site that displays advertising with a CPM revenue model. In contrast, many businesses try to optimize their sites for large numbers of highly specific keywords that indicate readiness to buy. Overly broad search optimization can hinder marketing strategy by generating a large volume of low-quality inquiries that cost money to handle, yet result in little business. Focusing on desirable traffic generates better quality sales leads, resulting in more sales. Search engine optimization can be very effective when used as part of a smart niche marketing strategy.
Early search engines
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 seo expert needed to do was submit a site to the various engines which would run spiders, programs to "crawl" the site, and store the collected data. The default search-bracket was to scan an entire webpage for so-called related search words, so a page with many different words matched more searches, and a webpage containing a dictionary-type listing would match almost all searches, limited only by unique names. The search engines then sorted the information by topic, and served results based on pages they had crawled. As the number of documents online kept growing, and more webmasters realized the value of organic search listings, some popular search engines began to sort their listings so they could display the most relevant pages first. This was the start of a friction between search engine and webmasters that continues to this day.
At first search engines were guided by the webmasters themselves. Early versions of search algorithms and seo tips relied on webmaster-provided information such as category and keyword meta tags, or index files in engines like ALIWEB. Meta-tags provided a guide to each page's content. When some webmasters began to abuse meta tags, causing their pages to rank for irrelevant searches, search engines abandoned their consideration of meta tags and instead developed more complex ranking algorithms, taking into account factors that elevated a limited number of words (anti-dictionary) and were more diverse, including:
Text within the title tagDomain name
URL directories and file names
HTML tags: headings, emphasized and strongly emphasized text
Term frequency, both in the document and globally, often misunderstood and mistakenly referred to as Keyword density
Keyword proximity
Keyword adjacency
Keyword sequence
Alt attributes for images
Text within NOFRAMES tags
Pringle, et al. (Pringle et al., 1998) [1], also defined a number of attributes within the HTML source of a page which were often manipulated by web content providers attempting to rank well in search engines. But by relying so extensively on factors that were still within the webmasters' exclusive control, search engines continued to suffer from abuse and ranking manipulation. In order to provide better results to their users, search engines had to adapt to ensure their SERPs showed the most relevant search results, rather than useless pages stuffed with numerous keywords by unscrupulous webmasters using a bait-and-switch lure to display unrelated webpages. This led to the rise of a new kind of search engine.




