Query clustering for SEO - Hit the target exactly

Website promotion begins with the correct formation of the semantic core. After the core has been assembled, it becomes necessary to distribute key phrases across the pages of the site. How to avoid mistakes and avoid duplication? The answer to these questions is semantic core clustering.

Semantic core clustering is the process of dividing all key phrases into groups, or clusters, based on their semantic and contextual similarity. This allows you to optimize each group of phrases on a separate page of the site, preventing their repetition or duplication.

Benefits of Clustering

  • Preventing mistakes in promotion. When key phrases are organized, the likelihood of missing an important word or duplicating phrases across multiple pages is reduced.
  • Increased page relevance. The more requests a page satisfies, the higher its position in search results.
  • Identifying the site structure. Clustering helps shape the structure of a site by showing which pages and content are needed for each request.

What to consider

When clustering keyword phrases, it is important to consider the type of page. Requests may be commercial or informational. For example, the request “buy a smartphone” and “smartphone” are similar phrases, but they imply different content: the first is for an online store page, the second is for an informational article. Such queries should not be clustered together, otherwise only one of them may succeed.

Clustering methods and algorithms

The process of clustering the semantic core occurs as follows: a main key is selected, then other phrases are linked to it, their search results are compared, and groups are created based on common URLs. There are two main clustering methods - hard and soft.

What is the difference between hard and soft clustering methods?

The soft method is based on the presence of several common URLs in the search results for the main query. The hard method compares search results to each other, grouping only those queries that are related to each other. The accuracy of grouping in the hard method is set by the clustering threshold - the minimum number of identical URLs required to create a group. For the soft method this is 4 matches, for the hard method it is 3. Usually the soft method is used, but for highly competitive niches it is recommended to use hard clustering.

Methods for grouping the semantic core

  • Manual method. This method is labor-intensive and time-consuming, but allows you to fine-tune clustering more accurately. However, there is a high risk of errors.
  • Automatic method. Clustering requests using special services or programs. This method is faster, but the result may not be as accurate as manual clustering.
  • Semi-automatic method. In this case, the specialist selects clusters manually, and the distribution of phrases among them is automated using tools.

Clustering Automation Tools

There are several tools for automating clustering that can significantly speed up the process:

  • Services such as Keywords Group and Keyword Assistant allow you to download lists of keywords and manually group them into clusters. These tools are free, but the bulk of the clustering work is left to the specialist.
  • Rush Analytics is a paid online service that offers a full set of automation for clustering. It can work both with a loaded list of queries and help assemble a semantic core directly on the site.
  • SEMparser is a paid service that allows you to configure the “grouping strength” parameter and select the clustering method (soft or hard). Geodependence and type of request are also taken into account.
  • Just Magic is a hard clustering service that is actively developing and adding new functions for working with search engines.
  • Topvisor is an online service that, like SEMparser, provides the ability to select a clustering method and allows you to configure the search engine, language and region.
  • Key Collector and KeyAssor are desktop programs that provide similar functionality to the above services, but require installation on a computer and may be slower.

Despite the wide choice of services for automatic clustering, it is important to remember that the algorithms can make mistakes. Therefore, it is always recommended to carry out the final check manually, combining clusters into logical groups and assigning the corresponding site pages to them.

If you have any questions, you can contact the SEO studio "SEO COMPUTER" for any question by email info@seo.computer.

ID 6949

Send a request and we will provide a consultation on SEO promotion of your website