Semantic Keywords Cluster is a new practice in Search Engine Optimization that will help you advance your keyword research to rank better. It groups the keywords that represent searchers with similar search intent.
Keyword clustering allows you to target many keywords per page, rather than only one or two keywords, creating additional opportunities for content to be found online.
By grouping related keywords for specific search intent, you can include all the possible keywords for a particular search query. It will also help you to explore and cover any given topic in-depth.
Benefits of using Semantic Keywords Cluster
In Organic SEO
- Filter out branded keywords or keywords with no commercial value.
- Focus on writing long-form content that explores the topic in-depth.
- Group-related questions & answers for FAQ creation.
- Have a clear structure and include keyword phrases in your h2s and h3s.
- Add interactive on-page elements like videos, jump links and carousels that improve the page experience for the user.
In Paid Search Campaigns:
- Create negative keyword lists for Ads using large datasets.
- Group similar keywords into campaign ideas for Ads.
How to group keywords using Semantic Keyword Clustering?
Here is the step-by-step instruction for how to do semantic keyword grouping using a free keyword clustering tool. For smooth functionality, I recommend you to use the updated version of Google Chrome.
Step 1. To get keywords, either export from GSC queries or use any SEO tools to find related keywords, autocompletes, subtopics, or questions that searchers are using to find products and services like yours.
Step 2. In a spreadsheet, list down all the keywords under one heading “Keyword”. Avoid creating multiple tabs in the sheet. Export / Download the sheet in CSV format.
Step 4. On the top navigation bar,
Runtime > Change Runtime Type > GPU
Step 5. On the navigation bar,
Runtime > Run All
Step 6. When prompted, upload the CSV file we prepared in Step 2.
Let the script continue its iteration and a CSV file will be downloaded once it finishes.
Note: If you see a Cuda Out of Memory Error, you’re trying to cluster too many keywords at the same time!
Step 7. Gather more data like Search Volume, CPC, and Keyword Difficulty with any SEO tools of your choice.
Step 8. Now, you’ll get to know what keyword variations a user may search for a particular intent. Choose relevant keyword groups by understanding the intent of your page.
Use Cases – Keyword Grouping
Keyword clustering is always a secret sauce while optimising on-page content. It helps to process a large set of keywords into specific groups. You can use these clusters in your landing page or blog and can cover the majority of the areas related to the topic.
By doing so, your website will get more authority in your industry and demonstrates strong breadth and depth of content.