Subtopic and Co-Occurrence Analysis for Long-Form Content

Prompt Description

Use this prompt to identify subtopics and co-occurring terms that frequently appear with your main keyword, enabling the creation of long-form, in-depth content that ranks well. This helps ensure comprehensive topic coverage, addressing related questions and subtopics.

Prompt Text

"Using [topic or main keyword], conduct co-occurrence analysis to identify subtopics that frequently appear with the main keyword. List related terms and questions that should be covered to build thorough, long-form content optimized for SEO."

Custom Tips

Request integration of common user questions if aiming to create an FAQ-style resource.

Example Response

Topic: Agile Project Management

Subtopics and Related Terms:
- “sprint planning,” “daily stand-ups,” “scrum framework”
Frequently Asked Questions:
- “What are the stages of Agile project management?”
- “How do Agile teams handle project feedback?”

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More Prompts

Some more ChatGPT prompts you can try.

Subtopic and Co-Occurrence Analysis for Long-Form Content

Intent-Focused Keyword Web for Comprehensive Coverage

Topic Mapping for Authority and Relevance

Latent Semantic Analysis (LSA) for Content Ecosystem Building

Semantic Keyword Clustering for Core Topics

SEO Content Plan with LDA and BERT Principles

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