Use keyword clustering to organize your content strategy by grouping related search queries together as they relate to pages, hubs, and categories.
This advanced SERP clustering tool organizes keywords into multi-level groups of clusters. Learn the steps to start clustering now.
Bid farewell to manual keyword categorization and time-consuming analysis.
This new keyword clustering tool employs a state-of-the-art SERP clustering algorithm and some proprietary NLP to automatically group keywords into a multi-level hierarchy of topic clusters.
Follow these steps to group a list of keywords based on their semantic relevance and shared context.
The keyword clustering script can handle thousands of keywords so to start you'll need to prepare a CSV file.
When you are ready upload your file here.
Sources for keywords
The upload supports multiple files and 1000's of keywords per file. If you have a few keywords and don't need to include additional information like keyword volume then consider copy-and-pasting keywords into the bulk serp similarity tool. The settings and the output are the same.
At a minimum you should confirm the target country and language.
The primary algorithm in this tool is SERP Clustering which automatically performs a Google search query for each keyword in the selected region and language.
After you launch the clustering job it will be processed in a queue by the next available worker. During peak usage it can take as long as 10 minutes per 1000 keywords.
Extremely large jobs can take a little longer to run.
I'm constantly monitoring the jobs but please contact support (aka me) if it seems to be taking too long.
Once the job finishes you can preview the results on your report details page.
Most people choose to download the results and explore it in a pivot table.
The results include a multi-level hierarchy of keyword clusters which means that you can now better plan your content strategy.
Finally remember to use your intuition to further combine, refine, and personalize the initial results.
READ MORE: Basic Keyword Clustering Example
Benefits of keyword clustering include:
READ MORE: 5 Things you can do with Topical Clusters
The process involves extracting data from Google SERPs, considering factors such as co-occurrence patterns, shared search intent, and thematic context.
By examining the organic search landscape, SERP clustering identifies common themes and topics, allowing for the organization of keywords into meaningful clusters.
READ MORE: SERP Clustering: A Comprehensive Guide for SEOs
See the exact price before your confirm the job every time you upload a new keyword list.
The free tier comes with 5 free reports per month after which it is pay-as-you-go. Register now and start for free
You can choose to subscribe and get a significant discount on keyword credits plus additional free reports each month.
See Pricing for more details.
Content planning with involves grouping keyword into topics at three levels: Spoke, Hub, and Category.
Using these three levels of clusters helps us organize our content efficiently, ensuring that our articles cover different details and big topics, making them valuable and informative for readers interested in various aspects.
For the example diagram above, let's consider a hypothetical website that offers a SaaS solution for project management. Here are three potential Hub-Spoke content examples:
Hub 1: Project Management Basics
Hub 2: Agile Project Management
Hub 3: Project Management Tools and Software
In this example, each Hub represents a central topic related to project management, while the Spokes delve into specific aspects or subtopics within each Hub. This Hub-Spoke content method ensures comprehensive coverage of various project management areas, providing valuable information for the target audience and establishing the website's authority in the domain.
When you are ready to try multi-level keyword clustering then signup and start with your first 500 keywords free!
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
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