Introducing our new Keyword Clustering Feature using Variable SERP Similarity Analysis
We are thrilled to announce the latest advancement in our SEO and content marketing tools: our new keyword clustering feature with variable SERP similarity analysis. This cutting-edge functionality offers unprecedented insights into the competitive landscape of your keywords by examining the top 10 organic ranking URLs for each keyword in your project. The power of keyword clustering is now at your fingertips, with the flexibility to adjust similarity thresholds to suit your specific analysis needs.
Elevating SEO and Content Strategy with Keyword Clustering
Keyword clustering isn't just a fancy term—it's an indispensable tool for anyone serious about SEO and content marketing. It allows you to understand how search engines group topics and to tailor your content strategy accordingly. Here’s how it can be practically applied:
Enhanced Content Relevance
By identifying groups of keywords that search engines see as related, you can create content that is more targeted and relevant to what users are searching for, improving your chances of ranking higher.
Streamlined Content Creation
Clustering helps avoid content cannibalization, where multiple pages of your website compete for the same keywords. By knowing which keywords are grouped together, you can focus your content creation efforts more effectively.
Strategic Page Optimisation
Discover if more than one page of your site ranks for a group of keywords. You may choose to optimize one page to target a different set of terms, or consolidate your pages to strengthen your ranking position.
Competitive Analysis
Understand which competitors dominate specific keyword clusters. This insight allows you to adjust your tactics, whether that's by differentiating your content or doubling down on your SEO efforts to outrank them.
How Our Keyword Clustering Works
The process is straightforward and user-friendly (but you can see full clustering instructions in this support article):
1. Select Your Keywords: Begin by choosing the keywords you wish to analyse.
2. Click 'Cluster': Initiate the clustering process with a simple click.
3. Name Your Clustering Run: Label your job for easy identification later on.
4. Set % Similarity: Choose a similarity threshold from 30% to 100%. The default setting is 70%, offering a balanced view of closely related keywords.
5. Click 'Cluster' Again: Confirm your settings and start the clustering job.
6. Monitor Progress: Track the job status in the Processes tab. A job with 4,000 keywords typically completes in 5 to 10 minutes.
7. Review Your Clusters: Once the job is done, filter the keyword rank table using the Tag filter to view your clusters.
Customisation and Control
What makes our tool stand out is the level of customisation it offers:
Rename Your Tag Groups: For better organisation and clarity, rename your tag groups directly from the action column.
Multiple Cluster Jobs: Run various clustering jobs with different similarity settings or keywords to get multi-faceted insights.
Currently, our system can handle up to 50,000 keywords per job, and we're gearing up to expand this capacity to 200,000 keywords.
Don't just use SERP Similarity for Clustering
Although SERP similarity clustering is an excellent way of grouping and looking at your keywords, it should not be the only lens through which you view your keywords.
How else you tag and group your keywords will of course depend on a number of factors such as the nature of your business, your SEO strategy and your current focus areas. Here's a variety of ways that we've seen experienced SEO teams use to stay organised and manage SEO performance at keyword group level. You do not need to adopt them all!
Goal-Oriented:
Primary Targets: High-value keywords critical for business.
Secondary Targets: Supporting keywords that contribute to primary targets.
Campaign Focus:
Quick Wins: Keywords with high potential and low competition.
Striking Distance: Keywords ranking on the second or third page of SERPs.
Long-term Growth: Keywords with potential for future development.
Search Demand:
Head Terms: High search volume, broad keywords.
Mid-Funnel: Keywords indicating some research intent.
Long-Tail: Highly specific, lower volume keywords.
Buyer Journey:
Awareness Stage: Educational and informational keywords.
Consideration Stage: Comparative and solution-focused keywords.
Decision Stage: Transactional and bottom-of-funnel keywords.
Content Type:
Informational Content: Keywords for blog posts, guides, and FAQs.
Commercial Content: Keywords for product pages, services, and category pages.
Navigational Content: Branded keywords and specific service offerings.
User Intent:
Transactional Intent: Keywords where a user is ready to purchase.
Research Intent: Keywords where the user is researching a purchase.
Informational Intent: Keywords where a user is looking for information.
Navigational Intent: Keywords used to find a particular website, page or entity.
Seasonality and Trends:
Seasonal Peaks: Keywords popular during specific times of the year.
Evergreen Keywords: Keywords that maintain steady search volume over time.
Emerging Trends: Up-and-coming keywords showing growth in interest.
Market Segmentation:
Geographic Location: Keywords tailored to specific regions or cities.
Demographic Segments: Keywords targeted to age, gender, or occupation groups.
Industry Niches: Specialized keywords within a particular industry.
Competitive Landscape:
Low Competition: Keywords that have less SERP competition.
High Competition: Highly contested keywords in the industry.
Competitor Branded: Keywords including competitors' brand names or products.
Content Format:
Articles & Guides: Long-form content targeting in-depth informational intent.
Product Pages (PDPs): Highly focused pages targeting transactional keywords.
Category Pages (PLPs): Pages that aggregate products or services for broader commercial keywords.
Images: Visual content that targets image search queries related to products or informative graphics.
Videos: Content targeting keywords that are best served through visual storytelling or demonstrations.
Beyond Keyword Clustering: The Market Share Report
For those looking to analyse at scale, our Market Share report complements the keyword clustering feature. It can handle millions of keywords and utilises the Louvain community clustering algorithm to highlight the best opportunities for your brand in the market.
Get Ahead with Advanced SERP Similarity Analysis
Our keyword clustering feature with variable SERP similarity analysis is more than just a new tool - it's a game changer for SEO and content marketers looking to gain a competitive edge. Start clustering today, and experience the most comprehensive, insightful, and strategic keyword analysis tool on the market.
Begin your journey to smarter SEO—leverage our keyword clustering feature to refine your content strategy, outpace competitors, and dominate your niche.
