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Keyword clustering groups related keywords that share a common topic, allowing for efficient targeting on a single webpage, as they share similar search intent and can be satisfied by the same content.
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By creating optimal keyword clusters, you can create content that ranks for a variety of low-volume, low-difficulty keywords, which can collectively generate significantly more traffic.
Stage 1
Strategically's clustering algorithms require a large dataset we generate by extracting your competitors' keywords at scale. Simply enter your competitors' domains into the keyword discovery tool and our crawlers will extract the keywords used. These keywords are then aligned with the relevant search volumes to provide an extensive keyword research document.
Stage 2
The objective of keyword clustering is to group keywords into groups that can effectively be targeted on a single webpage. Our clustering approach analyzes SERP positions for every keyword and calculates if specific URLs are ranking in the top SERP positions to define if a cluster can effectively include specific keywords or if two similar terms are better targetted using two separate webpages.
Stage 3
When creating a content hierarchy, all keyword clusters should link back to a central pillar page. To determine if a page qualifies as a pillar page, our algorithms assess whether specific pages comprehensively address every question a reader searching for the target keyword might have while also being broad enough to serve as an umbrella for 20-30 related posts. Pillar pages should always address the master topic and serve as a distribution page to the related topics. This analysis happens programmatically within the Strategically platform.
Stage 4
By comparing your existing website to the clusters defined using Strategically's keyword clustering, it becomes very easy to identify gaps in the current website architecture. Also by scoring your content against the top ten SERP results, we can identify weaknesses and opportunities to increase website performance at scale.
Stage 5
Gaps in your current website architecture can be quickly addressed using our AI writer. Simply click "Create article" and our AI will start analyzing the SERP from an SEO perspective, generate the article outline, and create your ready-to-rank SEO article. Similarly, existing articles that are underperforming in SERP can be refreshed and optimized using the same feature.
Strategically's SERP-based keyword clustering offers two main advantages. First, we begin with an extensive collection of tens or hundreds of thousands of keywords that your competitors are targeting, providing a comprehensive starting point. Second, our clustering decisions are based on real-time data from Google, ensuring that the resulting clusters align with the content hierarchy that Google favors. By leveraging this approach, you can be confident that your content strategy is built upon a solid foundation of competitive insights and up-to-date search engine preferences. This data-driven method helps you create a content structure that not only outperforms your competitors but also resonates with your target audience and search engines alike.
“We’ve had our best cohort ever in terms of student enrollments from organic blog traffic due to Strategically.”
Qunicy Smith
Head of SEO, Springboard.com
Frequently asked questions
Keyword clustering is a strategy used in search engine optimization (SEO) to categorize related keywords into clusters based on their semantic similarities or thematic relevance. By grouping keywords together, SEO practitioners can streamline their keyword research efforts, optimize content more effectively, and improve website visibility in search engine results. This method allows for a more targeted approach to content creation and optimization, aligning website content with the search intent of users and enhancing overall SEO performance.
A keyword cluster typically refers to a group of related keywords organized based on their semantic similarities or thematic relevance, primarily used in search engine optimization (SEO) to optimize content for specific keyword groups.
On the other hand, a topic cluster is a broader content strategy used to organize and interlink related pieces of content around a central pillar topic or "hub" page. This pillar content serves as the main authority piece on a given topic, while smaller, related pieces of content, known as "cluster" content, are linked back to the pillar page. The cluster content provides more detailed information on subtopics related to the main topic, creating a comprehensive resource for both users and search engines.
In essence, while keyword clusters focus on grouping keywords for optimization purposes, topic clusters revolve around organizing content into a hierarchical structure centered around core topics, facilitating a more comprehensive approach to content marketing and SEO.
To group keywords for SEO, start by conducting thorough keyword research to identify relevant terms. Then, categorize them based on common themes or topics. Consider semantic similarity and user intent to create clusters of related keywords. Use these clusters to optimize your content strategically, incorporating them into your website's copy, headings, and meta tags. Continuously monitor and refine your approach based on performance metrics.
The number of clusters in a topic can vary depending on the complexity and breadth of the subject matter. Generally, there isn't a set rule for the exact number of clusters within a topic. Instead, the number of clusters should be determined based on the depth of coverage needed to comprehensively address the topic and provide valuable information to users. It's essential to strike a balance between providing enough detailed content to satisfy user queries and avoiding excessive fragmentation that could dilute the effectiveness of the topic cluster strategy.