13 Jun WHY GROUPING KEYWORDS ACCORDING TO USER INTENTION IS BETTER FOR SEO?
“SEO is constantly changing. New updates are released, new trends are discussed and new strategies are developed. It is something that will constantly evolve.” –Jonathan Long
The current keyword research goes much ahead than the simple search of keywords with its monthly volume. If you want to perform a keyword analysis that impacts the SERPs you have to understand the information that your users are trying to achieve within your website through the search terms they use in Google.
Drastic Transformation in Google Keyword Planner
Google Keyword Planner was changed in terms of functionality in 2016. It brought a kind of earthquake in the market of keyword research and different tools of the same. It made the Google Keyword Planner useless for many visitors. It stopped providing accurate search density for free users.
Optimization of keywords about user commitment
Previously, content developers used to search keywords that gurantted a good volume of the seaaarch result. They used to put them into the content. In this way, they used to play a trick with algorithms set by the search engines. This was a way of ensuring high rankings in organic search. This, however, stopped working these days since keyword research has adapted more complexities!
The intention to search for information that a user makes is what we all need to know. This will help to to adapt each piece of content or page to that search, as much as possible.
SEO has evolved and it’s currently the result of having to group keywords according to the user’s search intention and the stage of the journey in which they are.
Once we organize these terms correctly it will be easier to position a competing keyword and improve the conversion ratio.
There are many websites that are able to attract traffic but are not able to convert that into organic traffic.
When you manage a small web, it is easy to manage and group all the keywords around a theme or category, but when you have thousands of keywords, the task of categorizing keywords becomes quite hazardous.
The key lies precisely in creating groupings of keywords that help in boosting the main keyword.
For example, with the Local SEO cluster that has been created a month and a half ago with an aim of positioning a website by its topic: Local SEO, (a term that many strong websites touch).
This type of grouping of terms is called “supervised learning” because it is generated on the basis of classifications. However, users don’t use exactly the same search terms usually to get the same information, right? So, these kinds of terms are called “unsupervised.”
We go with what google comments on its own official blog about the user intention. Here they already clarified that they want to “understand exactly” what the user wants to find through a query in the search engine, even that they can answer certain questions without the need to include any url. It is also explained that the results shown are based on what other people have previously searched for.
