How To Increase The Text Relevance Of Site Pages: Serpstat Text Analytics Tool

Our Text Analytics tool is created to automate this routine process. And today I will show you the cases when it becomes an irreplaceable assistant to the SEO expert.
What is Text Analytics, and what problems does it solve?
For example, the landing page of your site is poorly ranked by the desired keywords. This means that you need to change the content of the page to increase its text relevance. This is where you need Text Analytics, which creates a recommendation base for content optimization.
To examine a domain, you don't need to open Serpstat in a new tab - all necessary data is available with one click directly on the site!
Click on the icon and you'll get multiple SEO metrics about a domain or page: visibility, traffic, keywords, top competitors in the region, etc.
Read the post to learn about the benefits of the updated Serpstat checker.
What tasks does text analytics solve?
How to set up text analytics?

When the cluster is ready, you can start conducting Text Analytics. To do this, press the TA button in the upper right corner.
Text analytics is carried out based on the:
To set a landing page for a cluster, click Add URL in the upper left corner.

For what purposes can Text Analytics be used?
#1 Monitoring keyword relevance on a page
For a search engine, it is not necessary that the page has this exact wording. The search engine understands that if our page is called Acer 310x laptop, or even Acer 310x, and there is a Buy button on it, then this page is relevant to the user's request.
Keyword relevance column shows how each of these phrases corresponds to the page.
There are two main indicators:
Relevance is the scale that shows whether the page matches the keyword in comparison with competitors. When you point the cursor over the color bar, you will see the average relevance index among the group of competing pages for this phrase and the relevance of your page.

If we approach the minimum value, it means that the words from the query are too far apart in the text on the page, or are seldom used.
If we see that the indicator is approaching the maximum, then this indicates spam. You can remove some of the repeated words, or distribute them less often in the text.
#2 Collecting the most significant words for Title and H1
Words in Text Analytics are arranged in order of importance for the topic. The best option would be to add them exactly in the same order that Serpstat offers. However, we should not forget about the logic: the contents of the Title should be clear and readable. We take into account that Title is limited in the number of words and symbols, therefore we try to add the most important keywords in the visible part — the first 60 characters.



#3 Expanding the semantics by including new words

#4 Drawing up a technical assignment for a copywriter
To give a good reference to a copywriter, you can also use Text Analytics. To do this, you need to collect data from the reports Title, H1, Body, which I mentioned in the previous two paragraphs.
The Body Text report will also be useful: you will see text analysis on a given page (works only if you set the URL).

Use Text Analytics data to make up the technical assignment to the copywriter. Specify:
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