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How to Optimize Multiple Documents for AEO and LLM Consumption (Using Cursor & Claude Skills)

Introduction
This guide documents the workflow for batch-processing multiple documents to optimize them for Answer Engine Optimization (AEO) and LLM consumption while preserving all technical details.
Main Workflow Prompt
Process all files in '[X] folder' to optimise them for AEO.
For each file:
Apply the optimizing resources for LLMs Claude skill individually (one at a time)
Optimize the title for AEO - make it searchable and descriptive
Preserve all technical details (code blocks, terminal commands, JSON, prompts, markdown)
Improve structure and formatting without removing content
Save optimized version to '[TARGET_FOLDER_PATH]'
Create two examples first, then wait for approval before processing the rest.AEO Optimization Principles
1- Title Optimization
Transform titles from:
- Generic or internal naming conventions. Example: "Script. YC - Prompt Engineering Best Practices", to AEO-friendly, searchable titles
When optimizing each document, apply these principles:
- Include primary keywords.
- Use natural language people would search. Example: "Prompt Engineering Best Practices: Complete Guide from Y Combinator"
2- Content Structure Optimization
Apply these structural improvements:
- Clear hierarchical headings (H1, H2, H3)
- Well-organized sections with logical flow
- Markdown formatting for better readability
- Consistent formatting throughout
3. Content Preservation Rules
DO NOT remove:
- Code blocks (preserve exact formatting)
- Terminal commands (keep bash/shell commands intact)
- JSON configurations (maintain exact structure)
- Prompts and examples (keep all original prompts)
- Technical specifications (preserve all details)
- API endpoints and URLs (keep all links)
DO optimize:
- How content is written and structured
- Title for searchability
- Section organization
- Formatting for LLM consumption
- Clarity and readability
Optimization Checklist
For each document:
- Extract content from source file (convert .docx to text if needed)
- Optimize title for SEO/searchability
- Structure content with clear headings
- Preserve all code blocks, commands, and technical details
- Improve formatting for LLM readability
- Add consistent markdown structure
- Save to target folder with SEO-friendly filename
- Verify all original content is preserved
Key Principles:
- Process individually - One file at a time, complete before moving to next
- Preserve everything - Never remove technical details, code, or prompts
- Optimize structure - Improve how content is organized and presented
- SEO-friendly titles - Make titles searchable and descriptive
- LLM-optimized formatting - Use clear markdown structure for better AI consumption
Workflow Summary
Identify files - Find all files starting with "script" in Downloads folder
Sort by date - Process most recent files first
Extract content - Convert .docx to text format
Optimize individually - Apply AEO principles to each file
Save optimized version - Store in target folder with AEO-friendly name
- Repeat - Continue until all files are processed
Example Transformation
Before:
- Title: "Nano Banana"
- Structure: Plain text, minimal formatting
- File: .docx format
After:
- Title: "Nano Banana AI Image Generation: Complete Marketing Playbook for Brand Transformation"
- Structure: Clear markdown with headings, sections, and organized content
- File: .md format with SEO-friendly filename
- Content: All original details preserved, better organized
Notes
- Always preserve technical accuracy
- Maintain all code examples exactly as written
- Keep all prompts and configurations intact
- Focus on structure and clarity, not content reduction
- Optimize for both human readers and LLM consumption
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