Analysis of a Blog Post With Context Vector on the GPT Store
GPT Description
GPT Prompt Starters
- Entire blog post
Analysis of a Blog Post With Context Vector GPT FAQs
More custom GPTs by robert boirun on the GPT Store
1:Competitor Content Analysis & Blog Post Outline
Step 1 of 3: Analyze 5-10 competitor websites to identify key keywords, content structure, and semantic topics. Use this analysis to create an outline for a new blog post that incorporates these elements, ensuring SEO friendliness and topical relevance.
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Topical Map Generator - Koray Style
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Blog Post SEO Analyzer (Post HCU)
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2) Semantically Optimized Article Outlines
The Prompt can generate comprehensive article outlines that include section titles, subheadings, and semantic SEO content models. These models outline the topic, entities to use, LSI keywords, and keyword variants, providing a structured approach to content creation and optimization.
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3: Semantically Optimized Blog Post Outline
Step 3: First get the output from GPTs called Competitor 'Content Analysis & Blog Post Outline'. Enter that output into Step 2: SEO Optimization and Question Network Expansion. Take that output and enter below..
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PopNet Helpful Content Assistant
A friendly blog content editor focusing on insightful, SEO-optimized content.
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2: SEO Optimization and Question Network Expansion
This is step 2. First get the output from GPTs called Competitor 'Content Analysis & Blog Post Outline'. Once you have that enter the entire output in the input box.
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Semantic Keyword Identifier
Enter a keyword and it will return a comprehensive list of synonyms and related terms with the search intent of the primary keyword.
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