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Seoquick Keyword Clustering:

Posted: Thu Dec 05, 2024 5:22 am
by sheikh1234
You can use the following mechanisms:

Collect keywords using SERPSTAT – remove positions, search suggestions and words by which the site is also ranked. Download everything into convenient lists in Excel and combine them together.
Perform similar actions in AHREFS - collect keywords, hints, relevant words and parse all the keys from competitors.
Collect keywords in the search results using our utility . In the previous article, we reviewed how to find keywords.
Use the keyword planner and download AdWords tips .
Use third-party keyword services – keywordtool.io or ubersuggest.com .
Launch KeyCollector and parse search suggestions from WORDSTAT Yandex, Google.
There are many ways, but they all lead to one problem.

How to distribute keywords across pages?

After all, words simply thrown together in a heap are still combined into single groups, from which a limited number of pages can be created.

From personal denmark phone number library experience I can say that none of the SEO courses or paid seminars cover this topic in detail.

And they don’t even dwell on the issue of clustering.

Even experienced SEO specialists who have spent many years in SEO do this work incorrectly.

As a result, irrelevant pages are promoted that do not produce results.

Half a year is wasted and only then do they look for reasons.

Today we will tell you all the stages of clustering so that you do not lose these six months on website promotion.

Nikolay
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About clustering
In this block we will look at the clustering procedure itself, and also touch on important methods:

Image

method by issuance;
manual method.
And we will evaluate their advantages and disadvantages.

On the Internet you will find many reviews of how certain SEO bloggers treat semantic core clustering.

For example, Sergey Saltykov rightly believes that in order to select keywords , it is necessary to take into account many factors, such as the difficulty of the keys and their competition.

At the same time, he notes that the semantic core for the content manager and the final semantic core for the site will differ, and for the context there is no point in clustering the semantic core at all.

I disagree, since for context the ability to group queries by meaning is of the greatest importance.

You should take into account both individual phrases and exact matches of certain queries through properly clustered semantics.

METHOD ONE. UPON ISSUE