I’m a developer and I was struggling selecting target keywords/articles to create to support pillar pages. I found out about keyword clustering but wasn’t happy with any of the existing tools I found, so I decided to make a web tool called Optiwing to group keywords into topical clusters by comparing each keyword based on the first page of google search results. Grouping keywords helped me avoid keyword cannibalization, create articles that rank for multiple keywords, and avoid wasting time creating articles that target the same keywords. Has anyone else had success using keyword clustering?

What Exactly Is Keyword Grouping?

As you all likely know pages can and do often rank for many similar keywords and phrases. Keyword grouping creates collections of semantically and search result related keywords that, once compiled, are distributed throughout pages in a manner that helps to drive paid or organic traffic. For example, let’s say you have two similar search queries – “learn stock trading” and “stock trading for beginners”. Will you use them on the same page or on different pages of the site? In order to answer this question, you would need to analyze the competitors and figure out whether the pages that rank for those keywords are pretty much the same or very similar, or entirely different. This task takes hours, if not days, to complete manually. And even then there is a big chance that the grouping is not done correctly.

Manual keyword research is time-consuming, tedious, inaccurate and difficult to automate. SEO keyword grouping is a powerful tool to target multiple keywords with a single page, letting you rank for multiple high volume keywords with a single web page, but it's difficult to do manually. Get it wrong and you can get into all sorts of trouble - keyword cannibalization, low search traffic keywords, lack of topical relevancy, and missed search intent.

I built Optiwing to:

Identify all the topically related keywords that you can target with a single page, and which keywords require their own page.

Automate the keyword research process, saving time and opportunity cost.

Generate insights on how to cover a topic in complete detail to achieve higher rankings and built authority.

Basically the way it works is you upload a keyword file from Ahrefs or SEMrush or just a CSV of keywords you want to group, and it will run each keyword through a Google SERP scraper, take the top ten results, and compare them to every other keywords results. If keywords share multiple top ranking pages in common, they are clustered together. One way this can be used is to make articles targeting the primary keyword and using a few of the variations within the article in subheadings to ensure it ranks for multiple of them.

Have any of you tried using Keyword grouping/clustering to build authroity on a specific topic and what was your success like?