Can NLP be more clearly incorporated into the content editor?
Right now I feel like there is not much of a difference between normal audits and audits pulled with NLP. With the content editor, I was hoping to see more longer tail phrases that would fall more closely in line with NLP, as opposed to the traditional keyword densities/prominent terms.
Hello Nikolai! Great question :-) Traditional audit is based on the frequency and commonness of keywords among competitors. With NLP we pass the content to Google NLP API, and it gives us a list of meaningful terms. These terms are added to traditional frequency/commonness calculation. So what is the difference? NLP backed audit/editor has much more important terms revealed. Try analyzing the same keyword with and without NLP and compare audits to see the difference. NLP has nothing to do with longtails tough. These come from keywords databases and are not always used in the content. For more info check our blog post by typing NLP SEO in Google. Cheers!
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