Semantic core query clustering

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Today we will talk about such an important process in preparation for creating content for the site as semantic core clustering. This is a grouping of key queries from the core into groups so that each group has its own page. Compilation of the semantic core is one of the most important measures for the internal optimization of the site. After collecting keywords for a project, they are a list without any structure or hierarchy. The list contains queries that are very similar to each other. And also, those that differ significantly in meaning.

Clustering involves grouping requests for maximum relevance to one page. Clustering is carried out both manually and automatically using many services that exist on the Internet. Let's look at all the techniques that can be applied by distributing and grouping queries across the pages of the site.

The content of the article:

• Manual query clustering
• Automatic Query Clustering
• Peculiarities of Semantics Clustering for Commercial Sites

Manual query clustering

Despite the fact that it is quite laborious and takes a lot of time, it is the highest quality grouping option. Suitable for small projects where the number of keys is not too large. If there are several thousand keys, then it is better to carry out automatic clustering, and then refine the results manually.

It is done simply. The keys are collected in separate groups according to their meaning. To make it clearer, let me give you an example. There are collected keywords for an information project on infant diseases. It is necessary to break the entire semantic core into groups for individual diseases in order to write specific articles about them and about methods of treatment.

Choosing from the mass of keys collected for the query "Baby", those that contain the word "tremor", we will collect a cluster of keys, where there will be all queries related to tremor in infants. It is they who should be used in writing an article about the disease.

In manual grouping, regular Excel or Google Sheets will help well, allowing you to sort, filter and highlight the necessary lines and words in them. There are also free services that facilitate manual grouping. This, for example, is the Keyword Assistant service, which allows you to select the necessary keys from the general list in a few clicks and place them in a group.

Automatic Query Clustering

Automatic clustering performs according to certain algorithms. She does everything that a person does. Among the advantages, it is worth highlighting the speed of work thousands of times faster than manual, as well as the analysis of keywords and their positions in search results.

Of the minuses - the complete lack of logical thinking in algorithms, due to which incorrect inclusions of requests into groups often come across. Also, requests that are clearly suitable in meaning may not be included in one group. For example, the queries “How to dress a child in a low temperature outside” and “The temperature of a child is 39” are queries related to different groups, but algorithms will often combine them into one.

Anyway, after automatic clustering, the semantic core needs to be finalized by hand, bringing it to an ideal form. The further optimization of the site directly depends on the quality of the grouping.

For automated work, I recommend the Rush Analytics service, which is a powerful tool to help the optimizer. It is enough to add all the key queries and the program will group them as quickly as possible. The only negative is that the service is quite expensive and if you need a consistent use, it is better to find an optimizer that has a subscription. For a hundred or two rubles, he will add the keys to run in the service.

The following resources are also relevant: Seo intellect, KeyAssistant.

Peculiarities of Semantics Clustering for Commercial Sites

If everything is clear with requests for information projects. Here, all commercial phrases with the word buy, order, etc. are stop words, but with commercial ones, everything is not so simple. It is worth paying a little attention to how best to group the keys, for example, for an online store.

For example, an electronics store will sell televisions. There are a lot of requests with the word TV and we need them cluster. We distribute all requests that are commercial, such as "Buy a Samsung TV", "Buy a TV with a diagonal of 43", according to our clusters: by brands, diagonal or other properties.

But we sort information queries like “How to choose a good TV” or “Which TV is good in 2017” separately and in the structure of the site we provide a blog section where we will tell users about the choice or advantages of this or that property of technology. So we can attract more traffic through information requests.

As you can see semantic core clustering It's not hard, it just takes a lot of time. But it is one of the pillars in preparation for the launch of the project. Don't forget about well-written title, description, keywords, which should include your chosen keywords and search queries. Consider also the possibility of linking pages on the site to distribute weight between them and link them into a structure.

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