Combining machine learning and keyword research
Posted: Mon Jan 20, 2025 5:45 am
When creating a keyword list, my main advice to clients is simple: put yourself in your persona’s shoes.
Ask yourself this question: If you were searching for the type of service or product you offer, how and what would you search for? This is a crucial first step in mapping out potential keywords.
But as you improve your SEO strategy, that’s no longer enough.
The main reason is that customers are not predictable: they can search for the same thing in different ways. Machine learning comes into play to understand which phrases and words people use to reach what you offer.
With this help, you can not only map out which keywords to target, but also assess the competition, cost-per-click, and search volume for each keyword. This way, you can ensure that you’re considering finland whatsapp data the most important metrics when creating your keyword list.
A great tool that helps a lot with this is SurferSEO.
It optimizes your SEO strategy like no other. With SurferSEO, you can plan your content based on your target keywords, analyze previous articles, and use an editor to optimize your writing in real time.
Understanding how to align content with keywords
Now you have your persona and a list of keywords. What’s missing? How can AI and machine learning optimize your content by combining these two elements?
These tools analyze your data to provide useful insights into creating a brief or even an outline. What used to require extensive research and days of analysis can now be done in minutes.
Typically, these tools use information like personas, your website URL, competitors, and keywords to find the best content opportunities.
I have an interesting case study about AI Content Wizard: a client with a one-person marketing team, creating materials in multiple languages and for multiple audiences in a competitive segment.
They were already experienced in content creation when we started consulting. In this case, we used SpyFu to identify their competitors’ keywords, highlighting the ones that were most relevant to the client.
With AI Content Wizard, using the list of competitors and top keywords from SEMRush, we generated three topic suggestions with briefs, subheadings, suggested main keyword, difficulty, and search volume.
In less than 10 minutes, the client went from competitor research to a full briefing. For a team of one, this is a significant achievement. They can now focus on important activities that were previously neglected in order to produce content.
A tool like this can accelerate your strategy more than any other. And if the suggestion isn’t aligned with your goals, simply refresh the page and get a new theme, signaling that it’s not what you’re looking for and letting machine learning do the rest.
The more you use these tools, the better they will understand your needs and wants, resulting in more accurate suggestions.
Asking for help with topic ideas
So far, I’ve used the example of lean teams that don’t have the time or resources to plan their content and need help to meet their needs.
However, there is one point that all teams find themselves at, no matter how big or small: the doubt about which topics they should address.
This is usually easy in the beginning, when you’re developing your strategy and have lots of ideas about what to teach your customers and how your products and services can benefit them. But what about a few months or years down the road, when your creativity has run dry? How do you find new, relevant topics?
You're probably already wondering what my suggestion will be.
Artificial intelligence and machine learning have the ability to suggest topics related to your blog and identify content opportunities that your readers might seek out next.
Ask yourself this question: If you were searching for the type of service or product you offer, how and what would you search for? This is a crucial first step in mapping out potential keywords.
But as you improve your SEO strategy, that’s no longer enough.
The main reason is that customers are not predictable: they can search for the same thing in different ways. Machine learning comes into play to understand which phrases and words people use to reach what you offer.
With this help, you can not only map out which keywords to target, but also assess the competition, cost-per-click, and search volume for each keyword. This way, you can ensure that you’re considering finland whatsapp data the most important metrics when creating your keyword list.
A great tool that helps a lot with this is SurferSEO.
It optimizes your SEO strategy like no other. With SurferSEO, you can plan your content based on your target keywords, analyze previous articles, and use an editor to optimize your writing in real time.
Understanding how to align content with keywords
Now you have your persona and a list of keywords. What’s missing? How can AI and machine learning optimize your content by combining these two elements?
These tools analyze your data to provide useful insights into creating a brief or even an outline. What used to require extensive research and days of analysis can now be done in minutes.
Typically, these tools use information like personas, your website URL, competitors, and keywords to find the best content opportunities.
I have an interesting case study about AI Content Wizard: a client with a one-person marketing team, creating materials in multiple languages and for multiple audiences in a competitive segment.
They were already experienced in content creation when we started consulting. In this case, we used SpyFu to identify their competitors’ keywords, highlighting the ones that were most relevant to the client.
With AI Content Wizard, using the list of competitors and top keywords from SEMRush, we generated three topic suggestions with briefs, subheadings, suggested main keyword, difficulty, and search volume.
In less than 10 minutes, the client went from competitor research to a full briefing. For a team of one, this is a significant achievement. They can now focus on important activities that were previously neglected in order to produce content.
A tool like this can accelerate your strategy more than any other. And if the suggestion isn’t aligned with your goals, simply refresh the page and get a new theme, signaling that it’s not what you’re looking for and letting machine learning do the rest.
The more you use these tools, the better they will understand your needs and wants, resulting in more accurate suggestions.
Asking for help with topic ideas
So far, I’ve used the example of lean teams that don’t have the time or resources to plan their content and need help to meet their needs.
However, there is one point that all teams find themselves at, no matter how big or small: the doubt about which topics they should address.
This is usually easy in the beginning, when you’re developing your strategy and have lots of ideas about what to teach your customers and how your products and services can benefit them. But what about a few months or years down the road, when your creativity has run dry? How do you find new, relevant topics?
You're probably already wondering what my suggestion will be.
Artificial intelligence and machine learning have the ability to suggest topics related to your blog and identify content opportunities that your readers might seek out next.