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The sources AI looks at

Posted: Sun Dec 22, 2024 7:03 am
by Md5656se
Google is able to predict your searches and interests before you do by looking at information like this:

Your browsing history.
Your activity in places Google can access: email inboxes, app usage, Skype conversations, etc.
Your location history.
Information about your devices.
Additionally, you can help out and manually select the themes you like most from within the Google app, which is recommended if we decide to take advantage of this interesting functionality and do not try to remain oblivious to it.

I've been tinkering around a bit and the truth is that it's spot on with what it shows me, since my sector is tourism marketing and whenever I'm working I'm listening to music.

Here is some example of my Discover:


Google Discover content boxes
Google Discover content
Here comes one of the keys to relating marketing with Google Discover: the type of content it shows.


Previously, Google Feed and Now were limited to recent and fresh news, but with Discover, evergreen content is also a common resource on users' phones and tablets.

This, without a doubt, makes Google Discover a very interesting channel.

Let's see how to squeeze it out?

3 ways to take advantage of Google code phone number philippines Discover
We start from two premises:

Google's AI delivers content to users based on what they want to read.
Content doesn't have to be from yesterday; if Google decides that it will interest the user, it will show it.
That said, I can think of three ways to exploit this groundbreaking tool:


Image



1.- We can publish content that we know interests our audience
When a content card from your website appears in Discover, the impressions of the URL associated with that card in Search Console, within the Google Discover section, increase by one:


Google Discover in Search Console
If Google only shows in Discover what its Artificial Intelligence believes users are interested in, we can deduce that for some reason that content is interesting to someone.

When we multiply that impression by several hundred and in the end the same content is always repeated, which little by little gets clicks and improves the CTR, it will be evident that those contents with better metrics will be exactly what our audience likes.

Please note that we are no longer measuring whether something is liked or not with Analytics metrics, but with artificial opinion based on real Google data.

A source worth taking into account, isn't it?