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How, then, are these lists created? Search engines use programs called web crawlers (also called bots, worms, spiders, etc) to browse the web in a methodical, automated manner. Each crawler starts with a list of URLs to visit, called "seeds'. As the crawler visits these seed sites, it identifies all of the links leading from those pages to other pages, and adds them to the list of sites to visit. Those new URLs are then visited and the new link there are added to the list, and so on.
The sites that these crawlers visit are indexed, according to complex internal algorithms. Each search engine has its own proprietary algorithm that is not known precisely by the public, but there are some methods of increasing page rank that are well-established and reliable. Information on some of those concepts and how AspDotNetStorefront software assists with them is found below.
NOTE: There are many SEO concepts that have no bearing on the software being used, and the concepts discussed below can be much more complex than described herein. This guide covers these ideas at a basic level and only as they relate to the software. Store admins may wish to work with an SEO firm to increase their success in this very complex area. AspDotNetStorefront recommends Online Marketing Partners.
While most pages on an AspDotNetStorefront site are dynamically generated, the application (in v10) offers "modern URLs" that take the format of yourdomain.com/category/16/racingbikes or yourdomain.com/product/3/mountainbike
These 'modern URLs' are descriptive, easy for the shopper to remember and perfect for SEO since they largely contain your SEO keywords.
If you are moving from an earlier version of AspDotNetStorefront and have been indexing 'legacy URLs', then there is a great option where AspDotNetStorefront moves you to modern URLs but elegantly converts your old page references, too.
To set that default information, go to the Site Setup Wizard, and click the Configure SEO link. Enter the values you want to use for your store-wide meta information, then click Save and Close.
Page rank is a complex algorithm developed by Stanford University and used by Google to assign a numeric value to pages within a given set of hyperlinks. This value is used to determine the relative importance of the various pages within the set.
To quote Google: "PageRank relies on the uniquely democratic nature of the web by using its vast link structure as an indicator of an individual page's value. In essence, Google interprets a link from page A to page B as a vote, by page A, for page B. But, Google looks at more than the sheer volume of votes, or links a page receives; it also analyzes the page that casts the vote. Votes cast by pages that are themselves "important" weigh more heavily and help to make other pages "important"."