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AEO
Cursor
Claude Skills

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)

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

prompt.mdtext
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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