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               How-to 3: Employ TF-IDF. In short, TF-IDF is the formula of how often a keyword

               is found on a page (TF - term frequency) and how often it is expected to be
               found on an average web page, based on a larger set of documents (IDF - inverse

               document frequency).



               As TF-IDF compares a keyword usage of a separate page to a larger set of
               documents, it becomes obvious how important a given term can be to a page.

               The TF-IDF tool in WebSite Auditor uses the similar algorithm and can help you
               optimize your pages for topical relevance – which is important in the age of

               semantic search. The tool analyzes the pages of your 10 top-ranking competitors
               for your target keywords and looks for topically-relevant terms and phrases that

               are used by them.



               In Content Analysis > TF-IDF, select a page you would like to optimize, enter your
               target keyword, and further analyze the Recommendations column:



















































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