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
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.