CORPUSRANK: Messy Middle & GEO Prompt Suite

A collection of system instructions and frameworks designed to bridge the gap between Google’s "Messy Middle" consumer journey and Generative Engine Optimization (GEO).

This repository provides a complete workflow for SEOs, GEOs, Strategists, and Marketing Managers to dominate AI Overviews (AIO), ChatGPT, Gemini, Perplexity, Grok, ... and Search results by leveraging behavioral heuristics (BH) and E-E-A-T principles.

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Core Methodology: The Messy Middle

These prompts are built on the framework of the Messy Middle, the complex space between a "Trigger" and a "Purchase" where consumers Explore and Evaluate. Each prompt is engineered to address specific Behavioral Heuristics (BH):

• BH1: Category Heuristics (Simplifying complex choices)
• BH2: Social Proof (Recommendations and reviews)
• BH3: Authority Bias (Expertise and trust)
• BH4: Scarcity Bias (Limited availability)
• BH5: Power of Now (Immediate solutions)
• BH6: Power of Free (Incentives and bonuses)

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Included Frameworks

1. Phase-Specific Analysis (The Full Funnel)

• mm-exposure.md: Analyzes passive touchpoints and priming before a trigger occurs.
• mm-trigger.md: Identifies the emotional impulses and "Zero Moment of Truth" questions.
• mm-exploration.md: Maps how users expand their knowledge and discover category options.
• mm-evaluation.md: Decodes comparison logic and risk-reduction queries.
• mm-purchase.md: Focuses on eliminating final transactional hurdles (shipping, trust, price).
• mm-experience.md: Drives post-purchase loyalty and troubleshooting.

2. Strategy & Architecture

• CORPUSRANK_TopicCluster.md: A strategic advisor for Pillar/Cluster content architecture. Links the "Messy Middle" to measurable business results.
• CORPUSRANK_Schema.md: A JSON-LD generator that creates semantically rich, linked data graphs (Organization, WebSite, WebPage, Breadcrumb) to help AI "understand" your entity relationships.

3. Trust & Authority

• EEAT.md: An architect for Experience, Expertise, Authoritativeness, and Trust. Designed to make your content the primary source cited by AI models.
• mm-context.md: Generates a high-level "Executive Overview" for any product or service category.

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⚡ How to Use

Each file is a System Instruction. To use them:

1. Copy the content of the desired .md file.
2. Paste it as the "System Instruction" or "Custom Instruction" in your LLM (ChatGPT, Claude, Gemini).
3. Follow the "YOUR START" prompt: The AI will ask you for specific inputs (e.g., category, URL, or language).
4. Execute the Workflow: The AI will perform live searches and provide structured, strategic output.

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The "AI Memory Score"

A feature of this suite is the AI Memory Score (1-5):

• 1/5 (Tool-Required): The AI must use a live search (e.g., current prices, news).
• 5/5 (Pure Memory): The AI knows this from its training data (evergreen knowledge).
• Strategy: We optimize for both—dominating "Memory" with clarity and "Tool Use" with up-to-date authority.

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Repository Structure

├── Analysis-Phases/
│   ├── mm-exposure.md
│   ├── mm-trigger.md
│   ├── mm-exploration.md
│   ├── mm-evaluation.md
│   ├── mm-purchase.md
│   └── mm-experience.md
├── Content-Strategy/
│   ├── CORPUSRANK_TopicCluster.md
│   └── EEAT.md
├── Technical/
│   └── CORPUSRANK_Schema.md
└── General/
    └── mm-context.md

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Contributing

If you have refinements for the behavioral heuristic triggers or new GEO strategies, feel free to open a Pull Request.

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Disclaimer: These prompts are designed for professional marketing use. They require an LLM with web-browsing capabilities (e.g., ChatGPT Plus, Gemini Paid Tier, Claude with Analysis) to function as intended.