You may not agree that it is the best analytics tool or you may still prefer the old data model. But the truth is that if there is one thing that Google knows how to do, it is adapting to new times and nes, and with this new version it is on the right track.
It includes everything that is ne
In today’s digital world and it is free. The truth is that, for now, we couldn’t ask for more. And if we do in the future, Google will provide.
Grouping the different keywords that
Your pages receive visits for when they are relat to the same search intent can allow you to carry out specific and more focus analyses. But what options do vk database you have to carry out this keyword clustering? Is AI a good enough solution? Let’s take a look.
Table of Contents
Why is keyword clustering necessary?
How could we get these keyword clusters?
How do we achieve keyword clustering with GPT Chat?
But how would this flow be integrat?
Why is keyword clustering google that allows meical practices necessary?
Google searches can be very vari, even when it comes to what we would consider the same concept and even the same search. For example, if you want to buy a black t-shirt you could search: “black t-shirt”, “black t-shirts”, “buy black t-shirts”, “black t-shirts”, “black short-sleev t-shirt”, “black summer t-shirt” and so on.
This is why, when analyzing
The origin of variations in impressions or clicks on a specific page bas on the keyword they come from, it is necessary to first group or cluster keywords. These keywords, after all, are part of a broader, more general concept. In the example above, this concept could simply be “black t-shirt” or, more generally, “t-shirt.”
If this segmentation is not carri
Out into groups, we would only be able to study the evolution of searches, clicks or impressions of keywords, which, taken separately, would give us a usa data result that is not very useful from a practical point of view. For example, if we see that the impressions for “black t-shirts” are falling, it may lead us to think that there is less search for this concept.