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Kelime Kümeleme

Yüzlerce kelimeyi SERP benzerliğine göre konu kümelerine otomatik ayır.

Only 50 ₺ for 7 days

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Öne Çıkan Özellikler

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SERP örtüşmesi

Aynı sonuçları paylaşan kelimeleri aynı kümeye koyar.

Pillar önerisi

Her küme için bir ana (pillar) sayfa ve alt konu yapısı önerir.

Hızlı brief

Bir kümedeki tüm kelimeleri tek sayfa briefi olarak çıkar.

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Only 50 ₺ for 7 days

Creating a meaningful content architecture from hundreds of keywords is an exhausting process that can take hours with manual methods. The SEOYEN Keyword Clustering tool automatically groups your keywords into topic clusters based on SERP similarity, identifies pillar page candidates, and structures your entire content plan in a data-driven way. It visualizes the content hierarchy of dozens of pages in minutes.

What Is Keyword Clustering and What Is It Used For?

Keyword clustering is the method of grouping related keywords based on semantic or SERP similarity. The core logic is simple: if Google ranks the same page for certain keywords, those keywords belong to the same “topic cluster” and can be targeted together on a single page. This lets you rank for multiple keywords with one strong page instead of writing separate pages for each one.

The SEOYEN Keyword Clustering tool separates your keywords into clusters by comparing SERP results pages. If Google’s top 10 results for two keywords largely show the same domains, those keywords are evaluated within the same cluster. This approach produces far more reliable results than alphabetical or intuitive grouping because it is based on Google’s actual “topic perception.”

Once clustering is complete, the tool automatically provides pillar page and cluster page recommendations for each cluster. It shows which cluster should be the main page (pillar) and which clusters should be written as related supporting pages (cluster). These recommendations also create a roadmap for your internal linking structure.

How to Use Keyword Clustering

  1. Prepare the Keyword List: Send the keywords you want to cluster from Keyword Manager or upload them directly with a CSV file. Starting with at least 20-30 keywords is recommended; larger lists produce more meaningful clusters.
  2. Select the Clustering Method: SERP similarity-based clustering delivers the most accurate results and is the default option. You can also use semantic clustering for instant results.
  3. Review the Cluster Results: Each cluster includes the most representative keyword for that group (cluster head) and a list of related keywords. You will see each cluster’s total Search Volume and competition score.
  4. Confirm the Pillar-Cluster Structure: The tool provides automatic pillar recommendations. Accept them or reorganize them with drag-and-drop. Clusters with high Search Volume and relatively low competition are ideal pillar candidates.
  5. Turn It Into a Content Plan: Approved clusters are added to your content calendar as the list of pages to be created. Each page’s target keyword, estimated Search Volume, and priority order are assigned automatically.

Who Should Use It?

  • Content Strategists: To systematically design large-scale content architecture and pillar-cluster structures.
  • SEO Agencies: To perform fast and reliable clustering while presenting comprehensive content plans for new clients.
  • E-commerce Sites: To turn hundreds of product category keywords into logical page hierarchies.
  • Blogs and Content Sites: To define the order and structure of the content to be written within a topical authority strategy.
  • Enterprise Brands: To restructure an existing site and optimize the internal linking strategy through large-scale content audits.

SEOYEN vs Competitors: Comparison

Keyword clustering is an area where specialized tools stand out. SEOYEN differentiates itself by offering this feature inside a fully integrated platform:

Feature SEOYEN Semrush KeyClusters Keyword Insights
Turkish Interface ✅ Fully in Turkish ❌ English ❌ English ❌ English
SERP-Based Clustering ✅ Built-in ⚠️ Partial ✅ Available ✅ Available
Pillar-Cluster Recommendation ✅ Automatic ⚠️ Manual ⚠️ Partial ✅ Available
Integration with Rank Tracking ✅ Within the platform ✅ Available ❌ None ❌ None
Monthly Price ✅ Starts at 990₺/month ❌ $139/month ⚠️ Credit-based ⚠️ $58/month

Why Should You Choose SEOYEN?

Specialized tools like KeyClusters or Keyword Insights only handle clustering; you then need to manually transfer the results into another tool. In SEOYEN, the clustering process is a natural part of the entire workflow, from keyword research to Rank Tracking. Clusters, pillar-cluster recommendations, and content priority order are created automatically; you simply review, approve, and execute.

This integration is even more critical for Turkish content. Being able to perform SERP-based clustering for Turkish keywords requires access to Google.com.tr results. While SEOYEN provides this access natively, the vast majority of foreign tools have limited access to Turkish SERP data or lack this data entirely.

  • Turkish Interface: View cluster results, pillar recommendations, and your content plan entirely in Turkish.
  • Affordable Pricing: While Semrush costs $139/month, SEOYEN starts at 990₺/month.
  • Turkey Data: Google.com.tr SERP-based clustering delivers the most accurate results for Turkish keywords.
  • Integrated Platform: Clustering works in a single workflow with keyword research and Rank Tracking.

Related SEOYEN Tools

  • Find Keywords — Expand the keyword list you want to cluster.
  • Topic Research — Cluster the subtopics coming from your topic research.
  • Content Operations — Assign the generated content plan to your team and track progress.

Frequently Asked Questions

Why does SERP-based clustering deliver better results?

Semantic or synonym-based clustering relies on language models and can sometimes place unrelated keywords in the same group. SERP-based clustering, by contrast, directly compares Google’s search engine results pages: if the same domains appear in the top 10 results for two keywords, it means Google considers those keywords the “same topic.” For that reason, the SERP-based method reflects real Google behavior.

How many keywords should there be per cluster?

The ideal cluster size varies depending on the topic and the similarity of the keywords. In general, clusters made up of 3-15 keywords are manageable and meaningful. Very small clusters (1-2 keywords) may justify separate pages, while very large clusters (30+ keywords) can lead to a loss of focus. SEOYEN’s cluster size recommendation is based on each group’s Search Volume and SERP similarity score.

How many pages should I create as a result of clustering?

The basic rule is to create a separate page for each cluster; however, this may not always be practical for clusters with very low Search Volume. SEOYEN automatically labels clusters as “mergeable” and “requiring a separate page.” These recommendations help you reduce the risk of unnecessary thin content.

How can I map this to my existing site?

In the clustering results, a “target URL” field opens for each cluster. If you already have a page, enter its URL; if not, mark it as “a new page will be created.” This mapping also helps you identify cannibalization risk: if two different clusters match the same URL, it may signal a problem.