Data Tools/Cluster
🧠Data ClusteringAI-Powered Grouping

Cluster Data by Meaning

Group thousands of keywords, topics, or text items by semantic similarity. AI understands meaning and creates logical clusters automatically.

data-clustering.gsheet
ABC
1DataFormulaClusters
2best crm software...
3how to learn python...=CLUSTERIZE(B2:B50)Cluster 1: Python Basics, Cluster 2: Advanced...
4running shoes...=CLUSTERIZE(C2:C75)Cluster 1: Running Gear, Cluster 2: Brands...
Features

Intelligent data organization

AI groups your data by meaning, not just exact matches.

🧠

Semantic Grouping

Groups by meaning, not keywords. Understands context.

📊

Bulk Processing

Cluster thousands of items in one formula.

🎯

Adjustable Similarity

Control how tight or loose the groupings are.

🏷️

Auto Labeling

Automatic cluster names based on common themes.

Fast Processing

Get results in seconds, not hours.

📋

Export Ready

Results ready for analysis or export.

Examples

Clustering in action

See how AI groups data by meaning.

SEOGroup Keywords by Topic
Formula
=CLUSTERIZE(A2:A500)
Input
List of 500 keywords
Clusters
Cluster 1: Product Reviews (45) Cluster 2: How-To Guides (38) Cluster 3: Comparisons (32)
ContentOrganize Blog Topics
Formula
=CLUSTERIZE(A2:A200, 0.7)
Input
List of blog ideas
Clusters
Cluster 1: Tutorials Cluster 2: Case Studies Cluster 3: News
E-commerceProduct Categories
Formula
=CLUSTERIZE(A2:A1000)
Input
Product descriptions
Clusters
Cluster 1: Electronics Cluster 2: Home & Garden Cluster 3: Sports
ResearchSurvey Responses
Formula
=CLUSTERIZE(A2:A300, 0.6)
Input
Open-ended responses
Clusters
Cluster 1: Positive Feedback Cluster 2: Feature Requests Cluster 3: Issues
MarketingAd Copy Variations
Formula
=CLUSTERIZE(A2:A100)
Input
Ad headlines
Clusters
Cluster 1: Price-focused Cluster 2: Feature-focused Cluster 3: Benefit-focused
Data AnalysisCustomer Feedback
Formula
=CLUSTERIZE(A2:A500, 0.8)
Input
Support tickets
Clusters
Cluster 1: Billing Issues Cluster 2: Technical Support Cluster 3: General Inquiries
FAQ

Frequently Asked Questions

Keyword clustering groups related keywords by semantic meaning. This helps you plan content that targets multiple related keywords on a single page.

AI analyzes the meaning of each keyword and groups similar ones together. It understands synonyms, related concepts, and user intent.

You can cluster thousands of keywords in one operation. AI processes them in batches and returns organized groups.

Better content strategy, improved topical authority, fewer keyword cannibalization issues, and clearer site architecture planning.

Yes! Specify how many items per cluster or how many clusters you want. Adjust granularity based on your content planning needs.

Ready to cluster your data?

Group thousands of items by meaning.

Keywords, topics, feedback — all organized automatically.

No credit card required • Bulk processing • AI-powered