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Enhancing Keyword Research With AI: Uncovering Hidden Opportunities For SEO Success

Marketers with this data can better understand their target audiences and quickly make data-driven decisions. AI tools also predict trends, helping to optimise SEO efforts to reach the right people, with the right keywords, at the right time.

But wait, there’s more.

AI-powered content creation tools can generate ideas and templates based on keyword research and user intent. These tools can suggest relevant topics and outline content structures. Marketers can leverage these to create engaging content that resonates with their target audience without breaking a sweat.

As marketers get to grips with AI, we expect it to revolutionise search as businesses of all sizes adopt and deploy it. To compete, you must embrace it.

Traditional tools ARE NOT dead!

Understanding what words and terms people search for is integral to any successful SEO strategy. We need to know these terms and phrases to optimise a website and create content that ranks in the search engines.

Traditionally, we use keyword research tools such as:

These keyword research tools access vast databases of search queries from search engines like Google and Bing and use algorithms to analyse the search volume data to determine the popularity and frequency of keywords.

Algorithmic tools like Moz and Ahrefs are the brains behind search engine strategies because they are reliable and find deep phrase connections.

AI is not a replacement for these specialised SEO tools – it is an augmented approach that can complement your keyword research efforts.

AI uses neural networks and natural language processing (NLP) to understand the context and meaning behind search queries.

They can more effectively process and understand complex patterns, trends, and relationships in search queries than traditional tools. AI’s ability to analyse data at scale allows for unique keyword insights.

For example, ChatGPT uses NLP to understand the context of a query and provide relevant keyword suggestions. NLP differentiates it from traditional keyword research tools, as it does not leverage actual search data.

The most effective keyword research tools provide metrics that help us understand search volume, difficulty, and cost-per-click. We want to know:

  • Estimated monthly search volume – an excellent metric for seeing how popular a keyword is and how much potential traffic it may generate.
  • Keyword difficulty – which estimates how easy it would be to rank on the first page of search engine results for a given keyword.
  • CPC data – to help us determine the cost and return on investment of paid ads, so we can refine our strategy to budget.
  • Country-specific search results – so we can understand the search volume and difficulty of ranking in different countries.

All these metrics are necessary for optimising a website’s SEO.

ChatGPT for keyword research

The most popular AI tool for keyword research is ChatGPT because it is free and competent, especially in GPT-4 guise. It is also a chatbot, giving users conversational results.

Our favourite way to use ChatGPT is to get keywords from competitors. However, to gain a listing of the keywords a competitor is ranking for, you cannot simply input their URL into a tool like you can with Ahrefs.

Instead, you can simulate a competitor analysis by using said page’s text and then feeding it into ChatGPT to extract the keywords.

Here’s how it works:

Copy and paste the page’s text into ChatGPT and prompt it to “Make a list of the 10 most essential keywords in the following text:” followed by pasting the page text. Remember that the size of the page text determines the complexity of the task; it’s best to keep the page text relatively concise to avoid errors.

ChatGPT is also helpful in discovering keywords by asking it for relevant phrases that could be used to search for something on Google. For example, “make a list with keywords related to ‘strength training’ that one might use to search in Google”.

If you want to tailor keywords to a specific audience, add a new prompt such as “men aged 40 plus” or “single mums”. This demonstrates ChatGPT’s ability to find keywords and provide more tailored keyword lists.

The limitation of ChatGPT is that it does not use actual search data – it is not plugged into the databases that keyword research tools are, meaning it is ideal for finding keywords based on NLP but not actual search data.

Sadly, ChatGPT cannot give you search volume or difficulty data, so you must use a keyword research tool for more insight that will help you improve conversions.

Twinword for keyword research 

Twinword is a much more capable keyword research tool than ChatGPT because it is designed for that purpose. The AI part of the tool is Twinword Ideas, which complements the algorithmic dataset for relevant suggestions.

Twinword Ideas uses AI to group keywords by user intent, enabling us to select the correct keywords for the type of user we want to target.

The tool also offers a relevance score powered by AI. This feature lets us sort keywords based on their relevance to the search query, making it easy to find highly related keywords or broaden the search by filtering for keywords with a low relevance score.

The results are database- and AI-generated, with data like AVG monthly searches pulled from Google to provide accurate data. This is fantastic for maximising ROI in PPC campaigns.

Our favourite feature is the Twinword Ideas popular topics filter, which uncovers new subject matter for content by inspecting hot topics detected and compiled by AI. This filter appears after you type in a keyword with an overview of relevant topics.

Because the filter shows us what current topics people are interested in, it provides a good idea of what to include in SEO content. Even better, when we choose any popular topics, it automatically produces the best keywords to include in our content, making it easy to create a content brief that is on point.

The 2023 approach for AI keyword research

Tools like ChatGPT are fantastic at mining seed keywords because the NLP technology accurately analyses language and intent. It can suggest keywords based on copy-and-paste content analysis and will provide a list of keywords people will likely search for on Google based on its language model.

You can then plug these seed keywords and phrases into a proper keyword research tool, such as Ahrefs or Semrush. Entering your seed keywords will give you analysis backed by data, letting you refine your strategy.

Alternatively, Twinword integrates AI and search data into a single platform, providing ideas to save you time.

In the future, we expect AI keyword research tools to connect directly to search engine APIs to access real-time search data, enabling them to provide up-to-date information on search volume, keyword trends, and user behaviour.

The AI-powered keyword research tools of the future will bridge the gap between NLP, machine learning, and real-time data. Until then, AI can augment your keyword research and help you optimise and refine your SEO strategy.

In conclusion, AI is revolutionising keyword research, providing marketers with powerful tools and insights to optimise their SEO strategies.

While traditional keyword research tools like Moz and Ahrefs remain essential for in-depth analysis and data-backed metrics, AI tools like ChatGPT and Twinword complement these tools by offering NLP-based suggestions and keyword ideas.

If you enjoyed this article, read our piece on the best AI SEO tools.

Are you ready to place a dynamic marketing agency at the helm of your LinkedIn marketing execution?

At Creative Marketing Ltd, we have all of the resources that any brand could possibly need to stand out for all of the right reasons. If this is something that you would like to find out more about, you can book a free consultation by scheduling a call with Creative Marketing (NW) Ltd on 01706 495091 or contact us here.

Kasim Javed

Head of Creative Marketing