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Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.

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SKILL.md

name content-optimizer
description Content optimization workflow covering keyword integration, semantic enhancement, structure optimization, and AI extractability. Use for improving existing content for both search engines and LLMs.
allowed-tools Read, Write, Edit, Grep, Glob, WebSearch

Content Optimizer Skill

A systematic workflow for optimizing content to perform well in both traditional search engines and AI-powered systems (GEO).

When to Use

  • Improving existing content performance
  • Preparing content for publication
  • Refreshing underperforming pages
  • Enhancing AI citation potential
  • Optimizing for featured snippets
  • Building topical authority

Optimization Workflow

Phase 1: Content Analysis

Before optimizing, understand the current state:

Content Inventory:

Title: [Current title]
Word Count: [X words]
Last Updated: [Date]
Target Keyword: [Primary keyword]
Current Structure: [H1 → H2 count → H3 count]

Performance Assessment:

  • Search intent alignment
  • Topic completeness
  • Competitive positioning
  • Freshness status

Phase 2: Keyword Optimization

Optimize keyword presence without over-optimization:

Primary Keyword Placement:

Location Status Recommendation
Title tag First 30 chars
H1 Natural inclusion
First 100 words Opening paragraph
H2 headers 2-3 variations
Meta description With CTA
URL If practical

Keyword Density Check:

  • Target: 0.5-1.5%
  • Calculate: (keyword occurrences / total words) × 100
  • Flag if >2% (over-optimization risk)

Semantic Enhancement: Add related terms and concepts:

  • LSI keywords (5-10 variations)
  • Related entities
  • Question variations
  • Synonym usage

Phase 3: Structure Optimization

Improve content organization:

Header Hierarchy:

H1: Primary Topic (1 only)
├── H2: Main Section 1
│   ├── H3: Subsection
│   └── H3: Subsection
├── H2: Main Section 2
│   └── H3: Subsection
└── H2: Conclusion/Summary

Scannable Formatting:

  • Short paragraphs (2-3 sentences)
  • Bullet lists for features/benefits
  • Numbered lists for steps/processes
  • Tables for comparisons
  • Bold for key terms
  • Block quotes for callouts

Internal Linking:

  • Link to related content (3-5 contextual links)
  • Use descriptive anchor text
  • Link from high-authority pages
  • Create hub/spoke patterns

Phase 4: AI Extractability

Optimize for LLM citation:

Add Extractable Elements:

TL;DR Block:

## TL;DR

[2-3 sentence summary with key facts. Include primary keyword and main value proposition. Perfect for AI extraction.]

FAQ Section:

## Frequently Asked Questions

### [Exact question users ask]?

[40-60 word direct answer. Lead with the key fact. Include relevant data or specifics.]

### [Another common question]?

[Direct, comprehensive answer.]

Comparison Table:

| Feature | Option A | Option B | Option C |
|---------|----------|----------|----------|
| Price | $X | $Y | $Z |
| Feature 1 | Yes | No | Yes |
| Best For | [Use case] | [Use case] | [Use case] |

Paragraph Optimization:

  • Break paragraphs >120 words
  • Lead with key fact
  • One idea per paragraph
  • Clear topic sentences

Phase 5: E-E-A-T Enhancement

Add trust and expertise signals:

Author Enhancement:

*Written by [Name], [Title/Credentials]. [1-2 sentence bio with expertise indicators.]*

Source Citations:

  • Add statistics with sources
  • Link to authoritative references
  • Include expert quotes
  • Reference original research

Trust Signals:

  • Last updated date
  • Editorial review note
  • Fact-checking statement
  • Contact information

Phase 6: Meta Optimization

Finalize metadata:

Title Tag Formula:

[Primary Keyword] - [Benefit/Hook] | [Brand] (55-60 chars)

Meta Description Formula:

[Action verb] + [benefit]. [Key feature]. [CTA] (150-160 chars)

URL Structure:

/primary-keyword-descriptive-slug (under 60 chars)

Output Format

Content Optimization Report

## Content Optimization Complete

**Page:** [Title/URL]
**Optimizations Applied:** X changes

### Summary of Changes

**Keyword Optimization:**
- Added primary keyword to [locations]
- Integrated X LSI keywords
- Current density: X%

**Structure Improvements:**
- Reorganized headers for logical flow
- Added X bullet lists
- Created X tables
- Broke X long paragraphs

**AI Extractability:**
- Added TL;DR summary
- Created FAQ section (X questions)
- Added comparison table
- Optimized paragraph lengths

**E-E-A-T Additions:**
- Added author bio
- Included X source citations
- Added last updated date

**Meta Updates:**
- New title: [title] (X chars)
- New description: [desc] (X chars)

### Before/After Comparison

| Metric | Before | After |
|--------|--------|-------|
| Word count | X | Y |
| Keyword density | X% | Y% |
| H2 count | X | Y |
| Internal links | X | Y |
| Extractable elements | X | Y |

### Next Steps
1. [Recommended follow-up action]
2. [Additional improvement]

Quick Optimization Checklist

For rapid optimization:

  • Title tag optimized (keyword + hook)
  • H1 matches target keyword
  • First 100 words include keyword
  • At least 3 internal links
  • TL;DR or summary present
  • FAQ section (3+ questions)
  • Paragraphs under 120 words
  • At least 1 table or comparison
  • Author/expertise signals
  • Updated date visible

Guiding Principles

  1. User-first - Optimize for humans, not just algorithms
  2. Natural integration - Keywords should flow naturally
  3. Value addition - Every change should add value
  4. Extractability - Make key info easy to find/cite
  5. Authenticity - Maintain author voice and expertise