LDA and its benefits in SEO?                                                     

Latent Dirichlet Allocation or LDA is a Topic modeling form. In SEO LDA will help to identify relevance score of a particular keyword as well as increase a page's relevancy in google. It shows words that help Google determine how relevant the page is to a user's search query.

Ideal score for LDA

Ideal Score for LDA to have good SEO: 0.1 to 0.3
More than 0.3 it’s excellent, Within 0.1-0.3 its ideal for SEO
Less than 0.1 is bad

Work mechanism

 First we take the URL of our given campaign and scrap the whole document. Then we use LDA algorithm & calculations to compute the relevancy signals. We then correlate with the mean relevance value of competitor’s and we use conditional statement to check if the value is less or greater than the competitor’s If our value is greater than the competitor’s then no action needed else we use our code
structure to suggest the missing terms which will help us to improve our score once added to the landing     page.

 How to use LDA in webtool?                                        


Step 1:

Login webtool account.

Step 2:

Insert landing page & Keyword

Step 3:

Add competitor &
View Result
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