JackaL
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[GUIDE] Building a Custom GPT for Automated Keyword Clustering
Stop paying expensive monthly fees for SEO tools like Keyword Cupid or SurferSEO. You can build your own keyword clustering tool using the OpenAI API or by creating a custom GPT to categorize thousands of keywords by search intent in seconds.
The Master Prompt:
Feed this exact prompt into your Custom GPT instructions to turn it into an SEO machine:
Execution:
Export your raw keyword list from Ahrefs or Semrush (CSV), copy the column, and paste it into the GPT. It will instantly map out your entire silo architecture for your next authority site.
Stop paying expensive monthly fees for SEO tools like Keyword Cupid or SurferSEO. You can build your own keyword clustering tool using the OpenAI API or by creating a custom GPT to categorize thousands of keywords by search intent in seconds.
The Master Prompt:
Feed this exact prompt into your Custom GPT instructions to turn it into an SEO machine:
"You are an expert SEO data analyst. I will provide you with a raw list of keywords. Your job is to cluster them into logical groups based on semantic relevance and search intent (Informational, Transactional, Navigational, Commercial).
Output the results strictly in a Markdown table with the following columns: Cluster Topic, Primary Keyword, Search Intent, and Supporting Keywords. Do not provide any conversational text before or after the table."
Execution:
Export your raw keyword list from Ahrefs or Semrush (CSV), copy the column, and paste it into the GPT. It will instantly map out your entire silo architecture for your next authority site.