Cosine Similarity

 Cosine Similarity and its benefits in SEO                          

In SEO term, cosine similarity measures how much a given keyword available in the document is similar to the overall context of the landing page. In SEO, the more similar a keyword is with respect to the landing page, the better it is for ranking in SERP.

Ideal score for Cosine similarity                                                               

Ideal Score for cosine similarity to have good SEO is 0.5 or above less than 0.5 is bad and needs improvement. If the result is 0 that means the  keyword is not at all present.   

Work mechanism                                                                                        

We first take the given keyword against the target landing page URL and compute the cosine value in % based on our AI code.

After that, we compare it with our competitor’s mean value and check for comparison whether the data obtained is less or greater than the competitor’s. If our value is greater than the mean value of the competitor’s then no action needed. Else we run our code again to suggest how much occurrence we need to add again to the landing page for improving the score.

                                   How to use cosine Similarity  in webtool?                               


Step 1:

Login webtool account.

Step 2:

Insert landing page & Keyword


Step 3:

Add competitor &
View Result


Fix Cosine Similarity Issue

Cosine Similarity measure a particular keyword or key phase present in a particular landing page or not. This is a one of the important module in webtool. Easily measure a particular keyword or key phase present in a particular landing page or not. If the cosine score not satisfy the criteria of ideal score or low rather than competitors score then should add the focus keyword in the content or optimize the content with the focus keyword. But all the measurement will be done based on word count. word count of a landing page is one of the big thing. Based on word count of a landing page cosine score is depend. Content & word count play a big role in this module. If content will fix according to the suggestion then the cosine score will automatically increase. That will help google boot to quickly fetch the keyword from a particular webpage. 
envelope linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram