Term Discovery Tool
Discover what terms to use in your articles to improve your position in search engines.
The latest versions of search engines aim to identify whether an article correlates with a topic and whether the information it provides is innovative. The way they check these elements is by analysing the terms that appear in an article. Our Term Discovery tool shows you the vocabulary that your content needs to include in order to improve your score in those areas.
Given a keyword, the tool will generate four kinds of terms
- These terms convey to the search engines that your article really is about your keyword.
- They also help you to identify potential areas and concepts to cover in your article.
- Revise the list of proof terms and include as many of them as is appropriate given the nature of your article.
- These terms demonstrate to search engines that your information is innovative and worthy of a better ranking in search engine results.
- Review the list of relevant terms to find topics that need to be included or more detailed.
- This list is just a small list of the thousands of topics that you can use to expand your article.
- These terms define the main essence or purpose of the article.
- These are the terms that must be repeated most frequently in your article, but not so much that it seems unnatural.
- Using these terms in your article, you will create direct and strong association with your goal keywords.
Basically the association to your keyword is done using key and magnet terms, and proof and relevant terms is used to increase the perceived value of your article for search engines. Using this tool, you will also speed up your research and brainstorming. There is another tool called the Content Analyzer that helps you to determine whether you need to include more terms in your article or if you have too many.
Due to their nature, our generator of proof terms has a precision of 87%.
The number of relevant terms on a specific subject is practically unlimited, and depends on the capacity and possibility to associate information from different areas, so the precision of the relevant term list cannot be calculated.
The percentage of relevant terms that are not associated with the keyword (false positives) is 19%.