Post by account_disabled on Dec 20, 2023 4:37:21 GMT -6
A clean document structure is characterized by the fact that no hx levels are left out. h1 day From a search engine optimization perspective, the h1 tag is particularly important. It should represent the most important heading of a text, be used only once per specific subpage and contain the main keyword of the page. h2 day H2 tags are also used to name important search terms on the page. However, H2 headings can be used multiple times on a page. They are suitable, for example, for secondary search terms. Keyword density Keyword density is the percentage of a keyword in the total textual content.
It is notoday because keyword Phone Number List density alone says little about the quality and context of a text. Instead, you should make sure that the keyword density value does not become too large. If the proportion of a term is unnaturally high, this density can be difficult for Google & Co. could be a negative signal for the text quality or spam. WDF*IDF optimization Although keyword density is no longer used for optimization today, the concept does not lose its importance.
It was simply replaced by the WDF*IDF optimization. The principle behind it comes from data and information processing. It's about which search terms are thematically related to each other. In a WDF*IDF analysis, the number of a term is examined in relation to related (or non-matching) terms. Both the text itself and a population of analyzed texts are used. This population of texts is used to analyze the general and (topically appropriate) specific frequency of terms.
It is notoday because keyword Phone Number List density alone says little about the quality and context of a text. Instead, you should make sure that the keyword density value does not become too large. If the proportion of a term is unnaturally high, this density can be difficult for Google & Co. could be a negative signal for the text quality or spam. WDF*IDF optimization Although keyword density is no longer used for optimization today, the concept does not lose its importance.
It was simply replaced by the WDF*IDF optimization. The principle behind it comes from data and information processing. It's about which search terms are thematically related to each other. In a WDF*IDF analysis, the number of a term is examined in relation to related (or non-matching) terms. Both the text itself and a population of analyzed texts are used. This population of texts is used to analyze the general and (topically appropriate) specific frequency of terms.