The SEO Strategist

Streamline Your Keyword Research with Our Powerful Clustering Analysis Tool

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by

Brandon Lazovic
in

Discover how our keyword research clustering analysis tool can help you cleanse your dataset, identify primary keywords, and improve your SEO forecasting.

Link to keyword clustering tool

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A keyword research clustering analysis tool is a powerful solution designed to simplify and streamline your keyword research process. When working with keyword research tools like Semrush or BrightEdge, you may often encounter similar variations of keywords with the same search volume and cost per click. This tool helps you identify and group these closely related keywords, making it easier to choose a primary keyword and cleanse your dataset.

Why It’s Useful

Manually sorting through keyword lists to identify primary keywords and remove duplicates can be a tedious and time-consuming task. By using a keyword research clustering analysis tool, you can:

  1. Save time and effort in cleaning your keyword dataset
  2. Improve your SEO forecasting by working with more accurate data
  3. Identify the true search volume opportunity for a group of related keywords
  4. Streamline your keyword research workflow

How To Use It

Using our keyword research clustering analysis tool is a straightforward process:

  1. Upload your CSV file containing your keyword data, including headers for keywords, search volume, and cost per click.
  2. Enter your OpenAI API key to utilize the ADA 2 embedding model and GPT 3.5 turbo model.
  3. The tool will generate embeddings for the keywords and create a table displaying the clustered results.
  4. Download the analysis results as a CSV file for further manipulation and use in your SEO strategy.

The tool uses OpenAI’s ADA 2 embedding model to calculate the similarity between keywords and automatically choose the primary keyword for each cluster. In cases where there are only two keywords to choose from, the GPT 3.5 turbo model is employed to make the determination.

Other Considerations

While this keyword research clustering analysis tool is a valuable asset for SEO professionals, there are a few things to keep in mind:

  1. Ensure that your input CSV file includes the necessary headers (keywords, search volume, and cost per click) for the tool to function properly.
  2. The accuracy of the results may depend on the quality and consistency of your input data.
  3. Always review the output and make any necessary adjustments based on your expertise and understanding of the keywords and their context.

By incorporating this powerful keyword research clustering analysis tool into your SEO workflow, you can save time, improve the accuracy of your data, and make more informed decisions when optimizing your content for search engines.

About The Author

Brandon Lazovic

As the Assistant Vice President of SEO at U.S. Bank, I oversee the strategy and execution of SEO initiatives for the Business Banking division, driving organic growth and lead generation. I have over eight years of experience in SEO, working with various industries and platforms, serving as a SEO lead consultant at BrightEdge and the SEO manager at Rocket Companies.

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