WDF*IDF for SEO
Senior SEO-specialist
For good SEO optimization, WDF*IDF is very useful. This tool helps understand which words are important and relevant in texts and how best to align them with the online world of the industry. Thus, the tool affects the quality of the text.
What is WDF*IDF?
WFD*IDF evaluates how important a particular word in a document is relative to a collection of documents or a corpus. This helps estimate how relevant certain terms are in a specific document, taking into account the context and other relevant documents.
So the tool goes deeper into keyword relevance than the traditional way of determining keyword density. Merely examining keyword density says nothing about the context of a search term and what it should be used for. WFD*IDF is thus more accurate and provides better nuance.
WDF and IDF explained:
- WDF stands for Within Document Frequency and assesses the frequency of a term in a given document. This tool is most similar to keyword density, but adapted to the length of the document.
- IDF is short for Inverse Document Frequency and controls how rare, or popular, a term is in the compilation of all documents. A common term may be seen as less relevant.
WFD*IDF formula
The relevance of a term is determined by combining the results of both formulas. This takes into account the frequency of a term in other documents. Using this information, you can estimate which terms are important and relevant to a particular document and adjust the SEO roadmap accordingly.
Example
To make the formula and how it works clear, here is an example. Suppose the website contains a blog about healthy eating and also a collection of other documents related to health and nutrition. To determine the relevance of the term “organic,” follow the roadmap below:
- Calculate WDF (Within Document Frequency):
- The formula of the WDF is the number of times the term appears in a document divided by the total word count of the document. If the blog consists of 1,000 words and the term “organic” appears 10 times, the formula is as follows:
- 10 / 1000 = 0.01, or 1%
- Calculate IDF (Inverse Document Frequency):
- The outcome of the IDF is also important. Divide the logarithm of the total number of documents by the number of documents in which the term appears. If there are 1000 other blog posts and 100 of them contain the term “organic,” the following formula applies:
- Log(1000 / 100) = log(10) – 1.
- Calculate WDF*IDF:
- To calculate the combination of the WDF and IDF, multiply the individual values by each other. In this case, multiply 0.01 by 1, which is 0.01.
This result shows how important the term “biological” is to the document compared to the larger collections of documents with a similar topic. A high score indicates not only that the term is important in the specific document, but also that it does not often appear in other documents. So a high score is positive to improve SEO.
Although this example clearly shows the operation of WDF*IDF, this is only a simplified picture. In practice, it works more complicated and requires sophisticated tools and methods to make an accurate calculation and interpretation. This is especially true when working with a lot of data and complex content.
WDF*IDF for SEO
In the world of SEO, WDF*IDF is used to analyze content and optimize it for search engines. Using terms that are relevant to a topic but do not have strong competition can help the website rank higher in Google.
WDF*IDF for content strategy
SEO experts refine their content strategy with the help of WDF*IDF. They analyze which keywords are relevant in a particular context and how often this search term is used in other contexts within the same niche. With this information, they determine which keywords to use a lot and which to use less. Thus, keywords are chosen in a balanced and efficient manner and fit both the specific content and the market in general.
Competitive Analysis
In addition, WDF*IDF provides insight into competitors’ strategies. WDF*IDF analyzes their content to see which keywords are used most by competitors. This provides insight into which keywords are working and which are not. This information helps determine the SEO strategy for a Web site. Use the keywords that work for competitors and leave out the ones that don’t work as well.
Optimizing content
In addition, WDF*IDF contributes to content optimization of already existing content. Analyze the scores and find out which keywords were overused or underused. Adjust the content accordingly. In doing so, ensure balance and relevance. Not only does this lead to better SEO, but also a finer user experience.
Creating new opportunities
The insights provided by WDF*IDF reveal new opportunities. Thanks to the analysis, SEO experts discover information about the competitor. It also helps them find new terms that are not yet well known but are relevant to the niche.
Ahrefs are a good tool for making these analyses. Creating an analysis works as follows:
- Look at the competition within Google’s rankings (#1, #2 and #3);
- Check out their search results;
- Analyze the distance between the WDF*IDF and the search term.
Improve content quality
WDF*IDF helps not only with SEO optimization, but also with improving content quality. A document can become much more relevant if the right terms related to the topic are used.
WDF*IDF for intent to use
It is important to create content not only with the goal that it will rank well; the user experience is also very important. Carefully consider a website’s target audience and what users are looking for when browsing the website. This increases the readability of the documents and users effectively gain knowledge about the topic they are interested in.
Summary
WDF*IDF is very useful in a data-driven approach in terms of content optimization. Both relevance and quality of content can be greatly improved by using keywords that are important to the topic of the document and the target audience. You can also stay one step ahead of competition. As a result, the website will rank higher in Google search results.
