We carefully select the page subject on which the recommendation base of Text Analytics is built. Other services collect words from all thematic groups at once, without filtering them.
We don't advise a specific number of words and their word forms, we analyze the entire token. We control the spam level of the text and recommend reducing the frequency of the same word in the text.
We carefully select the words for recommendation base using our own algorithm, which takes only the important words for the chosen subject. You won't find the prepositions, conjunctions and other unnecessary things in recommendations.
We don't recommend specific text length, we recommend its acceptable range. Analyzing the full text, we find the missing keywords that your competitors have and that affect the ranking of the page.
We show the relevance of search queries to your text using a visualization that shows in what range of relevance of competitors is your text located.
Netpeak in 2013. From 2015 – fully independent.