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

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

Guide 4 min read

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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.

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

Guide 4 min read


Main Workflow Prompt

```Process all files in '[X] folder' to optimise them for AEO.
For each file:1. Apply the optimizing resources for LLMs Claude skill individually (one at a time)2. Optimize the title for AEO - make it searchable and descriptive3. Preserve all technical details (code blocks, terminal commands, JSON, prompts, markdown)4. Improve structure and formatting without removing content5. Save optimized version to '[TARGET_FOLDER_PATH]'
Create two examples first, then wait for approval before processing the rest.```


AEO Optimization Principles


When optimizing each document, apply these principles:

1. Title Optimization

Transform titles from:
- Generic or internal naming conventions. Example: "Script. YC - Prompt Engineering Best Practices", to AEO-friendly, searchable titles
- 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
1. Process individually - One file at a time, complete before moving to next
2. Preserve everything - Never remove technical details, code, or prompts
3. Optimize structure - Improve how content is organized and presented
4. SEO-friendly titles - Make titles searchable and descriptive
5. LLM-optimized formatting - Use clear markdown structure for better AI consumption

Workflow Summary
1. Identify files - Find all files starting with "script" in Downloads folder
2. Sort by date - Process most recent files first
3. Extract content - Convert .docx to text format
4. Optimize individually - Apply AEO principles to each file
5. Save optimized version - Store in target folder with AEO-friendly name
6. 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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