AI Keyword Research: A New Way To Dominate SEO

Brian Bojan Dordevic
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Brian Decoded

President at Alpha Efficiency

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Machine learning and artificial intelligence changed the way SEOs do keyword research forever. And this article will help you utilize AI keyword research to get first-page rankings on Google search with good monthly search volume. Learn how keyword analysis, content gap, and keyword insights will help you reduce your dependency on Google Ads and help you drive more organic traffic with a higher conversion rate.

While many will think about generic AI keyword generators, ChatGPT chat tools & poorly AI-generated text when we mention AI, this article will focus on Google Search’s original machine learning platforms within the Google Cloud Platform and ways we can enhance these tools to help us elevate our search engine rankings.

Our digital marketing agency will provide you with much-needed keyword research motivation that will help you pursue a content calendar that is rich in search volume and devise an essential building block for your website and blog content. We will go beyond boring mentions of Google’s Keyword Planner. Today, you’ll learn new ways to utilize AI to get a competitive edge and dominate SERPs. So, let’s start!

Table of Contents:
Using AI keyword research tools can help you create better content and rank better on Google.

What are Keyword Research Tools?

Keyword research tools are designed to help you understand what people are searching for in order to better optimize your content. By showing metrics such as search volume estimates and keyword difficulty, these tools help you determine which keywords are most popular and relevant to your topic.

They also provide insight into the competition level of certain keywords, so you can determine which ones are worth targeting.

Finally, they can help you identify related keywords and topics that you may not have thought of, which can lead to increased search engine visibility.

Google search is the primary search engine, so most Google keyword tools also provide access to keyword search engine advertising strategies. This article is focused on keyword planner that helps with search engines and not marketing alone, but there is an overlap.

But this time around, we want to focus on machine learning algorithms that are helping us define blog content that has significant keyword search volume and drives optimal user search behavior.

In essence, a keyword planner helps you dominate Google search results and is a foundation for many other keyword tools, including AI keyword research tools. Keep reading to learn how to leverage AI to conduct profitable keyword research.

Best AI Keyword Research Tools for SEO & Natural Language Processing

AI keyword research tools are becoming increasingly popular, and Google Cloud Platform, Let’s check three of the most widely used keyword planners out there:

  • Google Cloud Platform is a comprehensive suite of cloud computing services that includes a range of AI-based tools to help with keyword research.
  • WriterZen is an AI-driven content optimization tool that helps users optimize their content for search engine rankings.
  • Surfer SEO is an AI-driven keyword research tool that helps users identify the best keywords for their website and content. All three tools offer users powerful AI capabilities to help them with keyword research and content optimization.

Both WriterZen and Surfer SEO are using Google Cloud Platform as the foundation for their NLP keyword data aggregation. All three platforms offer a money-back guarantee, so feel free to try them out for your next content marketing efforts.

Google Cloud Platform – Machine learning knowledge graph where it all begins

Google Cloud Platform (GCP) is a cloud computing service suite allowing businesses to build and deploy applications on Google’s global infrastructure. GCP includes various services, including computing, storage, databases, analytics, machine learning, and natural language processing (NLP). GCP’s NLP capabilities allow businesses to build powerful applications that can understand and process natural language. This includes analyzing text and extracting meaningful information, such as keywords, from documents, web pages, and conversations.

GCP’s NLP capabilities can also be used to create custom models tailored to specific use cases, such as sentiment analysis, keyword extraction, and intent classification. With GCP’s NLP capabilities, businesses can gain valuable insights from their data and drive better decision-making.

Surfer SEO

Now let’s talk about Surfer SEO. It is a powerful tool that helps users define NLP (Natural Language Processing) keywords, providing a user-friendly way to access the Google Cloud Platform interface. This tool also offers features like integrating Google Docs, Semrush, and Jasper AI. This allows users to quickly and easily access their data and documents stored in the Google Cloud Platform and analyze their website’s SEO performance with Semrush and Jasper AI. Furthermore, Surfer SEO provides detailed insights into SEO performance, helping users optimize their websites for better rankings.


This is the tool our SEO agency in Chicago utilizes a lot in its workflow. WriterZen is a natural language processing (NLP) tool designed to help writers become more productive and organized. It uses keywords and salience to identify the most important topics within a text, allowing writers to focus on the most critical parts of their writing. It also provides features such as text summarization, sentiment analysis, text categorization, AI article outline generator, and more. WriterZen is an excellent tool for writers, as it allows them to quickly identify and focus on the most important topics, making their writing more effective and efficient. They can also use this tool to get AI generated text and speed up the process.

SEMRush Writing Assistant

Semrush is a powerful all-in-one SEO toolkit that offers features such as keyword research, competitor analysis, backlink analysis, and site audits. It differs from WriterZen and Surfer SEO as it offers more comprehensive features and tools designed to help with SEO and digital marketing. Besides using Semrush as your keyword discovery tool, you can utilize it for content marketing analysis, social media tracking, rank tracking, keyword alerts, and much more. WriterZen and Surfer SEO, on the other hand, focus more on content creation and optimization, respectively.

Using AI tools is a must in ever-evolving digital marketing world.

Importance of AI-Driven Keyword Research for SEO

AI modules are becoming increasingly important in content creation as they provide a more efficient and effective way of conducting keyword research. Salience, or the measure of a keyword’s relevance to a particular topic, is one of the primary metrics AI modules use to identify the best keywords for content creation. Machine learning is also used to identify the most impactful keywords for a given topic, allowing for more accurate and comprehensive keyword research. Compared to traditional seed keyword research, AI modules can provide more accurate results and more comprehensive data on the impact of keywords on Google rankings. This helps to ensure that the most impactful keywords are used in content creation, leading to higher rankings for seed keywords and greater overall visibility for your content strategy.

How does AI keyword research differ from manual keyword research?

Traditional keyword research that is based on data aggregation from Google Keyword Planner and focuses on SEO competition when determining seed keywords typically involves finding the most relevant and popular keywords related to a particular topic. On the other hand, AI-driven keyword research is more focused on finding semantically related keywords to the seed topic and enhancing them with semantically related keywords pulled from Google’s natural language AI. AI keyword generators allow SEOs to create more informative content by diving deeper into the topic, providing searchers with more comprehensive and accurate information.

How does artificial intelligence change the way keyword research is done compared to traditional methods?

Artificial intelligence has revolutionized the way keyword research is done compared to traditional methods. AI-based tools can quickly analyze large amounts of data to identify the most relevant keywords and phrases. AI can also track the performance of keywords in real time, allowing marketers to quickly adjust their campaigns to capitalize on emerging trends. AI-based tools can also identify long-tail keywords that traditional methods may have overlooked. Additionally, AI-based tools can provide detailed insights into users’ search intent, allowing marketers to create more targeted content that better meets the needs of their audiences. 

How do machine learning and artificial intelligence allow for more effective keyword research?

Keyword clustering allows us to generate keyword clustering reports.

Google’s natural language modules allow us to dive deep into semantically related topics. When used properly, we are able to generate a keyword research instrument that allows us to dominate the keywords with high monthly search volume by creating blog posts that capture user search behavior that drives actual conversions.

Keyword analysis based on the content gap and search intent is a powerful traditional keyword research layer that we utilize to empower website traffic with search queries that increase conversion rate.

Primary keywords rank more easily when we allow search engines to serve more engaging content enabled with machine learning algorithms that drive the knowledge graph. This is done without gimmicky ai article online generators.

While you can use AI to drive keyword ideas, the true strength and potency of the GCP-enabled natural language model are found in deep keyword insights that have an extremely potent correlation with a search query with good traffic potential.

How can AI help improve keyword research accuracy and effectiveness?

AI has made significant advancements in the field of keyword research, enhancing the accuracy and effectiveness of the process. By leveraging machine learning algorithms and natural language processing (NLP) capabilities, AI-powered tools can offer digital marketers more profound insights and precise data. Let’s explore how AI can help improve keyword research accuracy and effectiveness.

First, AI’s ability to process large amounts of data in real time enables SEOs to access up-to-date keyword insights, such as search volume, competition, and trends. You can also utilize AI-powered keyword research tools to predict future keyword trends and user behavior. By analyzing historical data and identifying patterns, machine learning algorithms can help you anticipate shifts in the market and stay ahead of the competition.

Keyword targeting vs. Keyword context within content

Where traditional keyword research will help you define keyword opportunities that correlate to your domain rating, AI keyword research will enable powerful context within your article. This is how you secure powerful keyword ranking for all your head keywords. As a prudent business owner, you want to empower your content creators with as much information as possible before they put a single word on digital paper.

Knowing which metrics to pay attention to during keyword research can give you advantage over competitors.

Metrics You Need to Know When Using AI Keyword Tools

Securing a high keyword ranking for your website starts with knowing all the right blog ideas within your keyword clustering report. AI tools allow us to have actionable insights in our content briefs, allowing us to easily outrank our competitors without too many backlinks in our SEO strategy or significantly fewer backlinks compared to our competitors. 

But all of this is in vain if you don’t know the main SEO metrics that will drive your SEO decision-making process. Metrics drive our keyword insights as much as the content creator uses them within the content itself.

Metric #1 – Keyword Search Volume

You will always look at the monthly search volume when looking for ideas and good keyword insights. However, there are many issues with determining the accurate search volume. All these SEO tools like SEMRush, Ahrefs, and others are polluting the real search volume with bot traffic that comes daily and takes a snapshot of the first pages of Google. That is a normal part of SEO knowledge at this point, and that can be confusing to beginners.

You can find more relevant information on the number of searches when using analytics Google Search Console, where you can see how much of a search volume your website picked up. You can even conduct Google Search Console keyword research. We absolutely love the Search Console here at Alpha Efficiency and consider it almost a single source of truth for SEO insights that drive website traffic.

But search volume is a powerful SEO metric that does provide us with a value-driven decision. Here you can check the keyword search volume explained in more detail.

Metric #2 – Keyword Difficulty

Keyword difficulty is a metric created by SEO tools like SEMRush, Moz, and Ahrefs. This metric takes into consideration the article strength for all the content pieces that are found on the first pages of Google.

Factors that determine keyword ranking and keyword difficulty in search engines are:

  • Domain rating
  • Number of backlinks
  • Competitors
  • Content quality
  • Search intent

By understanding keyword difficulty, you can focus your efforts on keywords more likely to generate traffic and leads for your business. Additionally, understanding keyword difficulty can help you identify potential opportunities to improve your SEO strategy and optimize your website for better rankings.

Metric #3 – Cost Per Click

Cost Per Click (CPC) is a metric used in PPC keyword research to measure an advertisement’s cost when a user clicks on it. AI keyword research tools can help you determine the cost of a click on an ad and understand the effectiveness of your PPC campaigns. CPC is determined by the cost of the keyword itself, as well as the competition for that keyword. Knowing the cost of a click can help marketers to better manage their budget and maximize the return on their PPC campaigns.

It is somewhat used in SEO to gauge the keyword’s profitability. You can get this information from Google Keyword Planner in a bulk keyword search volume tool format.

Metric #4 – Search Intent

The importance of search intent becomes clear once you start learning how to create content briefs. While this is not a metric per se but a categorization, you must know it to create content your audience can relate to. So let’s explain it.

Search intent in SEO tools refers to the purpose of a user’s search query. It is an essential concept in SEO as it helps to determine the type of content that should be created and the keywords that should be targeted to maximize visibility and search engine rankings. Search intent can include informational, navigational, transactional, and commercial investigation queries. Knowing a user’s search intent can help create content that is more relevant and useful to the user, as well as help optimize the content for the search engine.

AI-Specific Keyword Metrics That Are Changing The Way Professionals Do Keyword Research

To truly leverage the power of AI in keyword research, it’s essential to understand the specific metrics AI can provide. This section will discuss some of the most important AI-specific metrics for keyword research.


Salience is a metric that measures the relevance and importance of a keyword in the context of your content. It helps you understand how closely a keyword relates to the main topic or theme you want to cover. AI keyword research tools can analyze the salience of a keyword by evaluating its presence and prominence within top-ranking content pieces in search engines.

But why is this metric so important? Well, search engines like Google have become more sophisticated in understanding the context and intent behind your content. And they now prioritize content that provides comprehensive information and value to users. By utilizing keywords with adequate salience, you can ensure your content is laser-focused on the topics your audience cares about. 

AI helps you identify various factors, such as the frequency of a keyword or topic in the content, the context in which it appears, and the overall theme of the content. This allows us to identify the most relevant keywords when creating content briefs.

Content Clusters

Content clusters are groups of related content that revolve around a central topic or theme. They help search engines understand the context and relationships between various pieces of content on your website. By organizing your content into clusters, you can create a better user experience and improve your search visibility.

How to use AI to create content clusters?

Using some of the best AI tools for digital marketing, AI machine learning algorithms can analyze your existing content and identify related keywords, topics, and themes. This will allow you to create strategic content clusters. 

With AI keyword planner tools, you can also analyze Google SERPs to find keywords that can rank together. This will help you inform your content marketing strategy and create laser-focused content that ranks high in search engines.

AI keyword research is transforming digital marketing and helping businesses improve their online visibility faster than ever.

What impact has AI keyword research had on the digital marketing industry?

The emergence of AI keyword research has significantly influenced the digital marketing landscape. By providing additional insights to professionals who perform keyword analysis, AI has revolutionized the way marketers approach search engine optimization and content creation. 

AI tools allow you to access more comprehensive keyword insights, including search volume, competition, user intent, and semantic relationships between keywords. AI keyword research tools can understand the context and intent behind search queries. By using these insights, you can create content that addresses your audience’s specific needs and pain points. This allows you to make more informed decisions and develop better-targeted SEO strategies.

As AI machine learning technology continues to evolve, you can expect even more opportunities for growth and innovation in the world of SEO and content marketing.

How to Optimize Your Blog Posts for Google Search (SEO) with These AI Keyword Planners

Optimizing your blog posts for SEO is essential to drive organic traffic from search engines like Google. AI keyword planners can help you achieve this goal by providing insights into vital SEO metrics. You can use them to identify the most relevant keywords, competition keywords, user intent, salience, and more. In this section, we’ll guide you through the process of optimizing your blog posts using AI keyword planners.

Choose the right AI keyword planner:

At the beginning of this article, we’ve described three popular AI tools you can use to your advantage. Select one that aligns with your needs and budget. All these AI keyword planners provide comprehensive keyword analysis, including search volume, user intent, and content gaps.

Identify your target keywords:

Enter your main topic or seed keyword into the AI keyword planner of your choice. The tool will generate a list of related keywords and their search volumes, competition, and relevance score. Analyze this list and select the most relevant, high-traffic keywords with low-to-moderate competition for your blog post.

Analyze user intent:

Most AI keyword research tools provide insights into the user intent behind search queries. Use this information to understand what your audience is looking for when searching for your target keywords. This will help you create content that addresses their needs and pain points, ultimately improving your search visibility and user engagement.

Optimize your content:

Once you have your target keywords and a clear understanding of user intent, it’s time to optimize your blog post. Include your primary keyword in the blog post title, headings, and subheadings. Incorporate your target keywords and their variations throughout the content, maintaining a natural flow and avoiding keyword stuffing. And don’t forget to add internal and external links to support your content and improve its credibility.

Polish your blog posts for readability:

In addition to keyword optimization, some AI keyword planners, such as Semrush (its SEO writing assistant), can also provide insights into content readability and user experience.

Monitor and adjust:

After publishing your blog post, monitor its performance using your AI keyword planner and other analytics tools. Assess metrics such as organic traffic, bounce rate, time on page, and conversion rates. Use this data to identify areas for improvement and make necessary adjustments to your content and SEO strategy.

Need help with AI keywords for your business?

For digital marketers and SEO specialists, leveraging a free keyword research tool is invaluable for generating effective keyword suggestions. These tools provide insights into popular search terms, helping to optimize content and improve search engine rankings. By understanding the most searched keywords in your niche, you can tailor your content strategy to meet audience needs and enhance online visibility, all without incurring extra costs.

As machine learning technology continues to evolve, we’re sure AI keyword research will become even more valuable for businesses in the future. If you want to stay ahead of the curve and prepare your team for success, our team of expert AI consultants is here to help you unlock your full potential.

When partnering with Alpha Efficiency, you can expect a personalized approach that starts with understanding your business goals, target audience, and unique selling points. We’ll then help you craft a tailored SEO strategy that leverages AI keyword research to drive organic traffic and improve search visibility.

Our team utilizes cutting-edge AI keyword research tools to uncover valuable opportunities, generate keyword ideas, analyze user intent, and identify content gaps. We’ll provide actionable insights to help you create content that resonates with your audience and outperforms your competition.

We’ll also optimize your website content for maximum search visibility, incorporating AI-generated keywords and recommendations. Our commitment to a data-driven approach ensures ongoing support, monitoring, and adaptation of your SEO campaigns for optimal performance.

To get started, schedule a call with our SEO experts today. Let’s work together to take your business to new heights!


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