Group related keywords into topical clusters for better content strategy
Keyword clustering is the process of grouping related keywords into topical clusters based on semantic similarity. This helps organize content strategy, identify content gaps, and improve topical authority by creating pillar pages with supporting content.
Our tool uses advanced text analysis to compare keywords based on shared tokens, word patterns, and semantic relationships. Keywords with high similarity scores are grouped into clusters, with the most representative keyword selected as the pillar.
The tool supports both English and Arabic keywords. You can process mixed lists or specify the language for better results. The interface is in English, but the clustering engine handles Arabic text with proper normalization.
You can process up to 10,000 keywords per session. For optimal performance, we recommend starting with 100-2,000 keywords. Larger lists may take longer to process but will still complete successfully.
No. Your keywords are processed in real-time and are not permanently stored on our servers. Once you close your browser session, all data is cleared. We respect your privacy and do not share your keyword data with third parties.
Low threshold creates more, smaller clusters (keywords don't need to be very similar). High threshold creates fewer, larger clusters (only highly similar keywords are grouped). Medium is recommended for most use cases.
Use clusters to plan your content strategy: create one pillar page per cluster covering the main topic, then create supporting pages for related keywords. The internal linking blueprint shows how to connect these pages for maximum topical authority.