What does relevance mean in the SEO context?

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In the SEO context, relevance refers to the match of a web page or document to a search query. A relevant web page or document contains content that directly answers the user's query or helps them find the information they are looking for. Relevance is an important factor for search engines as it aims to present users with the best possible search results.

Search engines use various methods to determine the relevance of web pages and documents. These include:

analysis of the content
Consideration of keywords and phrases
linking websites
user involvement
A website or document with high relevance is ranked higher by search engines and therefore has a higher chance of appearing higher in search results.

Search engine optimization (SEO) aims to increase the relevance of a sweden mobile numbers list website or document for specific search queries in order to achieve a higher ranking in search results.

Why Keyword Density is not a suitable measure for determining the relevance of a document
Keyword density is the frequency with which certain keywords or phrases appear in a document. This unit is often used to determine the relevance of a document to a specific query.

wdf-idf_analyse_kfd-formel
You take the mention of the term within the text, divide it by the number of other terms/words, multiply this by 100 and you get a percentage value. This formula will be explained in more detail using a small example:

wdf-idf_analyse_keyword_density_Paid
With a total of 50 words (49 times “Paid” and 1 time “SEO”), the word SEO in this text would have a keyword density of 2%. Another example:

wdf-idf_analyse_keyword_density_SEO
In this text, the word "SEO" would have a keyword density of 98%. The text would therefore be 49 times more relevant from an SEO perspective than the first text. You can already see here that this formula no longer applies at some point. With a keyword density of 98%, the text is of course no longer readable and is full of the same terms. This formula is ultimately far too simple to represent the calculation of relevance within search engine algorithms. Keyword density is therefore not a suitable measure for determining the relevance of a document to a specific search query.

This reveals some disadvantages that make keyword density an unsuitable measure for determining the relevance of a document.

Keyword density alone does not take into account the meaning of words in the context of the document. A document can have high keyword density but still be irrelevant to a particular query if the keywords are not used in the right contexts.
Keyword density can be easily manipulated, as shown in the example, by simply adding unnecessary repetitions of keywords without affecting the content or meaning of the document. This results in keyword density not being a reliable indicator of the relevance of a document.
Keyword density is unable to take into account the meaning of synonyms or similar words. A document that answers a specific query may still be considered irrelevant if it does not contain the exact keywords used in the query.
Therefore, keyword density is not an appropriate measure for determining the relevance of a document. Other methods, such as WDF*IDF analysis, which take into account both the frequency of words within a document and their rarity in a collection of documents, are more informative and reliable.