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Lead Link Media Search Engine Optimization in Menlo Park, CA

Search Engine Optimization near Menlo Park CA

 Search engine optimization (SEO) is the method of improving the visibility of an internet site or a web page in search sites via the "natural" or un-paid search results. In general, the earlier ( or higher ranked on the search results page ), and more often a site appears in the search results list, the more visitors it will receive from the search engine's users. S.E.O may target different kinds of search, including image search, local search, video search, academic search, stories search and industry-specific vertical search sites. 

As a Web marketing strategy, SEO considers how search engines work, what folk search for, the particular keyphrases or keywords typed into search websites and which search engines are preferred by their focused audience. Enhancing a website may involve revising its content and HTML and associated coding to both increase its significance to particular keywords and to remove barriers to the indexing activities of search sites. Promoting a site to increase the number of back links, or inward bound links, is another SEO strategy. 
The acronym "SEOs" may refer to "search engine optimizers," a term adopted by a sector of experts who carry out optimization projects for clients, and by staff who perform S.E.O services in-house. Search website optimizers may offer SEO as a stand-alone service or as one part of a broader promotional campaign. Because effective SEO may require changes to the HTML source code of a site and site content, SEO methods could be joined into web site development and design. The term "search engine friendly" could be used to explain website designs, menus, content management systems, images, videos, shopping carts, and other elements that have been optimised for the purpose of search engine exposure. 

Early versions of search algorithms relied on webmaster-provided info such as the keyword meta tag, or index files in engines like ALIWEB. Meta tags provide a guide to each page's content. Using meta information to index pages was discovered to be rather less than trustworthy nonetheless , as the webmaster's selection of keywords in the meta tag could possibly be a wrong illustration of the site's real content. False, incomplete, and inconsistent data in meta tags could and did cause pages to rank for irrelevant searches.[unreliable source?] Web content providers also manipulated a number of features in the HTML source of a page in an attempt to rank well in search websites. 
By relying so much on factors such as keyword saturation which were completely inside a webmaster's control, early search sites suffered from abuse and ranking manipulation. To provide better results to their users, search websites had to adjust to guarantee their results pages showed the most topical search results, instead of not related pages full of many keywords by unscrupulous webmasters. Since the success and renown of a search engine is decided by its ability to produce the most applicable results to any specific search, permitting those results to be fake would turn users to find other search sources. Search engines replied by developing more complex ranking algorithms, taking into account extra factors that were more complicated for web masters to manipulate.[original research?] 
Graduate students at Stanford School, Larry Page and Sergey Brin, developed "Backrub," a search website that trusted a mathematical routine to evaluate the prominence of net pages. The number calculated by the algorithm, Page Rank, is a function of the quantity and strength of inwards bound links. PageRank estimates the chance that a fixed page will be reached by a web user who at random surfs the web, and follows links from one page to another. To all intents and purposes this indicates that some links are stronger than others, as a better PR page is likelier to be reached by the random surfer. 


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