Automated Topical Authority Clustering Using Embeddings & Python
Group thousands of search keywords into distinct topical silos to prevent internal keyword cannibalization.
Prerequisites
- Python
- Pandas
- OpenAI API key
Step 1: Step 1: Generating Semantic Vector Embeddings for Search Queries
Map your keyword CSV through text-embedding-3-small to project all queries into high-dimensional vector space.
Step 2: Step 2: HDBSCAN Density Clustering for Natural Pillars
Cluster the vectors with HDBSCAN to discover authentic semantic clusters without pre-specifying cluster counts.