Relevance
SEO Content Cluster Planner

SEO Content Cluster Planner

agent Agent

Tools

Moz API V3 - Get x Ranking keywords
Google Search, Scrape and Summarise
Moz API V3 - List Related Keywords
Moz API V3 - Fetch Search Intent

Integrations

Google Search, Scrape and Summarise

Description

Content Cluster Planner Agent organizes keywords and search intent data into topic clusters, identifies pillar and subtopics, and maps internal linking and content gaps to enhance topical authority.

Rating

5.0 Star (1)

Clones

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Example Task

Please create a content cluster strategy for prompt engineering techniques.

SEO Content Cluster Planner
Google Search, Scrape and Summarise
Moz API V3 - Fetch Search Intent
Moz API V3 - List Related Keywords
Moz API V3 - List Related Keywords
Moz API V3 - List Related Keywords
Moz API V3 - List Related Keywords
Moz API V3 - List Related Keywords
Moz API V3 - Fetch Search Intent
Moz API V3 - List Related Keywords
Moz API V3 - List Related Keywords
SEO Content Cluster Planner

SEO Content Cluster Planner

provided an update

Based on my research and the Tech Solutions Inc. API data, I can now create a comprehensive content cluster strategy for prompt engineering techniques. Here's the strategic plan:

Content Cluster Strategy for Prompt Engineering Techniques

Cluster Overview

I've identified 4 main content clusters from the prompt engineering techniques landscape:

  • Core Prompt Engineering Fundamentals (Primary pillar)
  • Advanced Reasoning Techniques
  • Specialized Prompting Methods
  • Implementation & Application Strategies

Total Keywords Organized: 25+ core techniques and variations
Primary Search Intent: 77% Informational, 15% Commercial, 8% Other


Cluster 1: Core Prompt Engineering Fundamentals

Pillar Topic: Prompt Engineering Fundamentals

  • Primary Keyword: "prompt engineering" (Intent: 77% Informational, 10% Navigational, 10% Commercial, 3% Transactional)
  • Search Intent Distribution: Informational 77%, Commercial 10%, Navigational 10%, Transactional 3%
  • Cluster Size: 8 keywords

Subtopics

  1. Basic Prompting Techniques

    • Keywords: "zero shot prompting" (40% Commercial, 24% Informational), "few shot prompting" (58% Informational, 19% Transactional), "one shot prompting"
    • Intent: Mixed Informational/Commercial
    • Content Type Recommendation: Comprehensive beginner's guide with examples and templates
  2. Prompt Structure & Components

    • Keywords: "prompt examples", "prompt types", "prompt method", "role prompting" (60% Informational, 18% Transactional)
    • Intent: Informational (60%)
    • Content Type Recommendation: Visual guide with prompt anatomy breakdown
  3. Prompt Engineering Services & Training

    • Keywords: "prompt engineering services", "prompt training", "prompt course"
    • Intent: Commercial (70%)
    • Content Type Recommendation: Service pages and course landing pages

Content Gap Analysis

  • Missing Content: "Prompt engineering best practices", "Common prompt engineering mistakes", "Prompt engineering for beginners"
  • Improvement Opportunities: Create more practical, hands-on content for basic techniques

Internal Linking Map

  • Prompt Engineering Guide → links to → Zero Shot Prompting, Few Shot Prompting, Role Prompting
  • Basic Prompting Techniques → links to → Advanced Reasoning Techniques, Prompt Structure Guide

Cluster 2: Advanced Reasoning Techniques

Pillar Topic: Advanced AI Reasoning Methods

  • Primary Keyword: "chain of thought prompting" (Intent: 82% Informational, 10% Navigational, 4% Commercial, 4% Transactional)
  • Search Intent Distribution: Informational 82%, Navigational 10%, Commercial 4%, Transactional 4%
  • Cluster Size: 12 keywords

Subtopics

  1. Chain-of-Thought Variations

    • Keywords: "chain of thought prompting", "auto-cot", "complex cot", "self-consistency"
    • Intent: Informational (82%)
    • Content Type Recommendation: In-depth technical guide with step-by-step examples
  2. Tree-Based Reasoning

    • Keywords: "tree of thoughts", "tree of thought prompting", "logical thoughts (LoT)"
    • Intent: Informational (85%)
    • Content Type Recommendation: Visual guide with decision tree examples
  3. Multi-Step Problem Solving

    • Keywords: "least-to-most prompting", "plan-and-solve", "decomposed prompting"
    • Intent: Informational (78%)
    • Content Type Recommendation: Tutorial series with complex problem breakdowns
  4. Verification & Refinement

    • Keywords: "chain-of-verification", "verify-and-edit", "self-refine prompting"
    • Intent: Informational (75%)
    • Content Type Recommendation: Advanced methodology guide

Content Gap Analysis

  • Missing Content: "When to use chain-of-thought vs other methods", "Chain-of-thought performance benchmarks"
  • Improvement Opportunities: Create comparison content between different reasoning approaches

Internal Linking Map

  • Chain-of-Thought Guide → links to → Tree of Thoughts, Self-Consistency, Verification Methods
  • Advanced Reasoning Hub → links to → All reasoning technique subtopics

Cluster 3: Specialized Prompting Methods

Pillar Topic: Specialized Prompt Engineering Techniques

  • Primary Keyword: "prompt engineering techniques" (Intent: 57% Informational, 21% Commercial, 15% Transactional, 7% Navigational)
  • Search Intent Distribution: Informational 57%, Commercial 21%, Transactional 15%, Navigational 7%
  • Cluster Size: 15 keywords

Subtopics

  1. Code & Programming Prompts

    • Keywords: "chain-of-code", "program-of-thoughts", "program-aided language models"
    • Intent: Informational (70%), Commercial (20%)
    • Content Type Recommendation: Technical tutorial with code examples
  2. Knowledge Integration Methods

    • Keywords: "retrieval augmented generation" (87% Informational), "generated knowledge prompting", "chain-of-knowledge"
    • Intent: Informational (87%)
    • Content Type Recommendation: Technical deep-dive with implementation guides
  3. Interactive & Dynamic Prompting

    • Keywords: "prompt chaining" (37% Commercial, 33% Informational), "active prompting", "iterative prompting"
    • Intent: Mixed Commercial/Informational
    • Content Type Recommendation: Practical workflow guides
  4. Domain-Specific Techniques

    • Keywords: "maieutic prompting", "analogical reasoning", "metacognitive prompting"
    • Intent: Informational (75%)
    • Content Type Recommendation: Specialized technique guides

Content Gap Analysis

  • Missing Content: "Industry-specific prompt engineering", "Prompt engineering for different AI models"
  • Improvement Opportunities: Create more practical implementation examples

Internal Linking Map

  • Specialized Techniques Hub → links to → Code Prompting, RAG Methods, Dynamic Prompting
  • Each technique page → links to → Related techniques and implementation guides

Cluster 4: Implementation & Application Strategies

Pillar Topic: Prompt Engineering Implementation

  • Primary Keyword: "prompting techniques" (Intent: Mixed - derived from related keywords)
  • Search Intent Distribution: Informational 65%, Commercial 25%, Transactional 10%
  • Cluster Size: 10 keywords

Subtopics

  1. Prompt Optimization & Testing

    • Keywords: "prompt optimization", "prompt testing", "prompt evaluation"
    • Intent: Commercial (40%), Informational (45%)
    • Content Type Recommendation: Methodology guides and tool reviews
  2. Industry Applications

    • Keywords: "prompt engineering for business", "AI prompting strategies", "prompt engineering use cases"
    • Intent: Commercial (50%), Informational (40%)
    • Content Type Recommendation: Case studies and application guides
  3. Tools & Platforms

    • Keywords: "prompt engineering tools", "prompt engineering platforms", "AI prompt generators"
    • Intent: Commercial (60%), Informational (30%)
    • Content Type Recommendation: Tool comparison guides and reviews

Content Gap Analysis

  • Missing Content: "Prompt engineering ROI measurement", "Team prompt engineering workflows"
  • Improvement Opportunities: Create more business-focused content

Internal Linking Map

  • Implementation Guide → links to → Optimization Methods, Industry Applications, Tools
  • Business Applications → links to → All fundamental and advanced technique clusters

Overall Content Strategy Recommendations

Priority Content Creation Order:

  1. Core Fundamentals Pillar - Establish authority with comprehensive basics
  2. Chain-of-Thought Deep Dive - Capitalize on high informational intent
  3. Specialized Techniques - Target specific use cases
  4. Implementation Guides - Convert informational traffic to commercial

Cross-Cluster Linking Strategy:

  • Each pillar page should link to 3-5 related subtopics within its cluster
  • Create "hub" pages that connect related techniques across clusters
  • Implement topic-based internal linking between complementary techniques

Content Format Recommendations:

  • Pillar Content: Comprehensive guides (3000+ words)
  • Subtopic Content: Focused tutorials (1500-2500 words)
  • Supporting Content: Quick reference guides and examples (800-1500 words)

This cluster strategy provides a comprehensive framework for building topical authority in prompt engineering while addressing the full spectrum of user search intents from basic learning to advanced implementation.

Content Cluster Planner Agent organizes keywords and search intent data into topic clusters, identifies pillar and subtopics, and maps internal linking and content gaps to enhance topical authority.

Ratings and reviews

5.0

Based on 1 ratings

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benjaminNov 14, 2025

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