Google has been using TF-IDF content optimization as a ranking factor for content for a long time but for some reason, SEO’s have not fully caught on.
Term frequency of a word is the frequency of a word in a document while Inverse document frequency of a word is the measure of how significant that term is in the whole corpus. As the search engine seems to focus more on term frequency rather than on counting keywords. TF-IDF content optimization, therefore, identifies the most important terms used in a given document. It is also one of the most ignored content optimization tools used by SEO’s today.
Now a good rule of thumb is, the more your content ‘’ makes sense’’ to the user, the more weight it is assigned by the search engine. With words having a high TF-IDF weight in your content, your content will always be among the top search results.
- TF-IDF analysis shows the most important words used in the top 10 pages for a given keyword.
- TF-IDF adequately represent many contextual keywords that Google finds relevant
- TF-IDF shows a significantly higher URL rating
‘TF-IDF, short for term frequency-inverse document frequency, identifies the most important terms used in a given document. It is also one of the most ignored content optimization tools used by SEOs today.’