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SEO Text Nausea

Posted: Sat Feb 01, 2025 11:01 am
by subornaakter24
Text nausea is the degree of its spamming, that is, the percentage of the use of the same key request for the entire text. It can be classical and academic:

Classic nausea is a format for calculating a frequently used word. The indicator should be from 2.64. SEO-checking of the text is carried out by calculating the square root. Let's say the word is used 100 times in the article, then its classic nausea will be equal to 10.

Academic is the ratio of the same used apparel company database lexeme to the entire text to calculate the density of keywords. Let's take an article of 5,000 words, where one occurs 50 times, respectively, the academic nausea will be 5%. Inexperienced copywriters sin with a higher percentage of this characteristic of the text, up to 35% it is considered acceptable, but it is important to strive to reduce it.

Academic nausea can be reduced if the test shows that it is above the norm. There are two main ways:

We highlight words and their combinations that are often repeated. Then we delete them or replace them with synonyms. In addition, you can completely rephrase the sentence.

We increase the volume of text by adding additional information.

Classic nausea can be reduced by:

Reduce the number of repeated lexemes.

Reduce the number of stop words or remove them (these are frequently used words that do not answer users' questions and therefore irritate them).

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There is such a concept as text spam in anti-plagiarism. The search engine evaluates the number of repetitions in the material, which indicates that it is thematic. If the text uses a moderate number of such words corresponding to the subject of the article, the algorithm considers it a contender for getting into the top of the search results.

The size of the material is of great importance: if the volume is OK, the system will not consider that there are too many words and will not return more than 50% spam.

EAT factors

When users search for information on a topic, especially if it is a highly specialized issue, they want to get reliable data that will at least not cause harm. However, it is not easy to understand who exactly wrote the text - a professional or an ordinary freelancer - without the relevant knowledge. Here, EAT factors can help.

EAT factors are an indicator of the author's expertise. A person with an education in a certain field, confirmed by a diploma, can be considered a professional.


The texts are checked by assessors – employees of search engines who evaluate the relevance of articles and their usefulness to the audience.