What is TF-IDF in search engine optimization ?

What is TF-IDF?

TF-IDF is a short term for the term frequency-inverse document frequency formula that aims to define the importance of a keyword or phrase within a document or a web page.

Term Frequency (TF), as implied by the name, indicates the frequency of a specific term within a document. It can be calculated by dividing the number of times the keyword is used in a document by the total number of words within the same document.

Inverse document frequency(IDF) shows how frequently a keyword is used within a collection of documents. This is a corrective metric that aims to level down the importance of articles and various function words and to give more prominence to meaningful words.

The product of these two metrics is the TF-IDF formula that indicates the relevance of a keyword to the document. This formula is widely used by search engines to determine the corpus of web-pages that are relevant to a search query. The larger is the TF-IDFvalue - the more relevant (important) is the keyword to the document.

Where can I find IT-IDF in WebSite Auditor?

WebSite Auditor uses the TF*IDF formula to help you determine the level of importance and relevance of your keywords to the analyzed pages. The software collects top competitors for your keywords and compares their IT-IDF stats with the stats of your web-page.