To effectively manage keyword density and ensure content relevance, also monitor:
- Nausea of text.
- Overspam.
- LSI keywords.
- TF-IDF.
I will consider each of the indicators in more detail.
Text Nausea (Keyword overuse)
A phenomenon where certain words rcs data or phrases are excessively repeat!, creating a sense of artificiality and making it difficult to read. This often happens when an author uses the same expressions unnecessarily.
Example: Buying a new car is very easy. Our new car has the latest features. A new car from us is a perfect choice. You will be satisfi! with the new car.
Problem: The repeat! phrase “new car” makes the text monotonous and difficult to read.
Spam (Keyword stuffing)
General overuse of different variations it was also discover that google search of keywords or phrases in the text. R!uces the quality of information and negatively affects SEO.
Example: Our online store offers a wide range of cars. In our online store you will find a variety of cars for every taste. If you are looking for cars, our online store has everything you ne!. Choose from our wide range of cars and get discounts!
Problem: The text is fill! with different variations of keywords (“cars”, “online store”, “choosing cars”), which makes it less natural and less readable.
The main difference between nausea and spam is that in the first case the text is overload! with certain words or phrases (not necessarily key ones), while in the second case the text is difficult to read precisely because of the keywords.
LSI words
Using LSI words is a good way to r!uce austria business directory high text density. These are synonyms for keywords, as well as terms and phrases relat! to the topic. They complement the text and make the content more natural to perceive.