# GEO Content Optimizer — Detailed Instructions

Compact workflow, GEO-first CORE-EEAT targets, scoring templates, and example output for the GEO Content Optimizer skill.

## Step 1: Load GEO-First Targets

Prioritize these CORE-EEAT items first:

| Rank | ID | Standard | Why It Matters |
|------|----|----------|----------------|
| 1 | C02 | Direct Answer in first 150 words | High extraction probability |
| 2 | C09 | Structured FAQ with Schema | Matches follow-up AI queries |
| 3 | O03 | Comparisons in tables | Easy for systems to quote |
| 4 | O05 | JSON-LD Schema Markup | Clarifies content type |
| 5 | E01 | Original first-party data | Supports citation trust |
| 6 | O02 | Summary Box / Key Takeaways | Good summary surface |

**Full GEO-First set**:
`C02, C04, C05, C07, C08, C09 | O02, O03, O04, O05, O06, O09 | R01, R02, R03, R04, R05, R07, R09 | E01, E02, E03, E04, E06, E08, E09, E10 | Exp10 | Ept05, Ept08 | A08`

Engine-specific emphasis:

| Engine | Priority Items |
|--------|----------------|
| Google AI Overview | C02, O03, O05, C09 |
| ChatGPT Browse | C02, R01, R02, E01 |
| Perplexity AI | E01, R03, R05, Ept05 |
| Claude | R04, Ept08, Exp10, R03 |

## Step 2: Analyze Current Content

```markdown
## GEO Analysis: [Content Title]

| GEO Factor | Current Score (1-10) | Notes |
|------------|----------------------|-------|
| Clear definitions | [X] | [notes] |
| Quotable statements | [X] | [notes] |
| Factual density | [X] | [notes] |
| Source citations | [X] | [notes] |
| Q&A format | [X] | [notes] |
| Authority signals | [X] | [notes] |
| Content freshness | [X] | [notes] |
| Structure clarity | [X] | [notes] |

**Primary Weaknesses**: [1], [2], [3]
**Quick Wins**: [1], [2]
```

## Step 3: Apply GEO Optimization Techniques

Use these six techniques:
- **Definition optimization**: 25-50 words, standalone, starts with the term
- **Quotable statements**: specific facts or stats with sources
- **Authority signals**: expert quotes, credentials, citations
- **Structure optimization**: Q&A, tables, numbered lists
- **Factual density**: replace vague claims with verifiable specifics
- **FAQ schema**: JSON-LD that matches visible FAQ content

## Step 4: Generate GEO-Optimized Output

```markdown
## GEO Optimization Report

### Changes Made
- Definitions added or improved
- Quotable statements created
- Authority signals added
- Structural changes applied

### Before / After GEO Score
| GEO Factor | Before | After | Change |
|------------|--------|-------|--------|
| Clear definitions | [X] | [X] | +[X] |
| Quotable statements | [X] | [X] | +[X] |
| Factual density | [X] | [X] | +[X] |
| Source citations | [X] | [X] | +[X] |
| Q&A format | [X] | [X] | +[X] |
| Authority signals | [X] | [X] | +[X] |
| Overall GEO Score | [X]/10 | [X]/10 | +[X] |

### AI Query Coverage
- "What is [topic]?"
- "How does [topic] work?"
- "[topic] vs [alternative]"
```

## Step 5: CORE-EEAT GEO Self-Check

Verify these 14 items:

| ID | Standard | Status |
|----|----------|--------|
| C02 | Direct Answer in first 150 words | Pass/Warn/Fail |
| C04 | Key terms defined on first use | Pass/Warn/Fail |
| C09 | Structured FAQ with Schema | Pass/Warn/Fail |
| O02 | Summary Box / Key Takeaways | Pass/Warn/Fail |
| O03 | Comparisons in tables | Pass/Warn/Fail |
| O05 | JSON-LD Schema Markup | Pass/Warn/Fail |
| O06 | Section chunking | Pass/Warn/Fail |
| R01 | Precise data points | Pass/Warn/Fail |
| R02 | Citation density | Pass/Warn/Fail |
| R04 | Claims backed by evidence | Pass/Warn/Fail |
| R07 | Full entity names | Pass/Warn/Fail |
| E01 | Original first-party data | Pass/Warn/Fail |
| Exp10 | Limitations acknowledged | Pass/Warn/Fail |
| Ept08 | Reasoning transparency | Pass/Warn/Fail |

## Example

**User**: "Optimize this paragraph for GEO: 'Email marketing is a good way to reach customers...'"

**Output summary**:
- Adds a precise definition
- Replaces vague claims with sourced stats
- Introduces quotable bullet points
- Improves structure for AI extraction
- Moves GEO score from `1/10` to `8/10`

## Tips for Success

Answer first, be specific, cite sources, stay current, and optimize for the exact query shape users ask.