amazon-listing-optimization

Files (3)

• SKILL.md
• _meta.json
• fetch-listing.sh · scripts/

SKILL.md (first lines)

# Amazon Listing Optimization 📝

Build keyword-optimized listings from scratch, or audit and optimize existing ones. No API key — works out of the box.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization -g
```

## Two Modes

| Mode | When to Use | Input | Output |
|------|-------------|-------|--------|
| **A — Create** | Building a new listing | Keywords and/or competitor ASINs + product info + tone | Full listing copy + keyword coverage score |
| **B — Optimize** | Improving an existing listing | Your ASIN or URL (+ optional keywords or competitor ASINs) | Optimized listing copy + audit report + gap analysis |

## Mode A — Three Ways to Start

| Input Source | How it Works |
|-------------|-------------|
| **Keywords** | User provides keyword list → skill prioritizes and generates listing |
| **Competitor ASINs** | User provides 1-3 competitor ASINs → skill fetches their listings, extracts their keywords, then generates a listing that covers all their keywords and more |
| **Both** | User provides keywords + competitor ASINs → skill merges both sources for maximum coverage |

## Capabilities

- **Keyword-driven listing generation**: Import keywords (from amazon-keyword-research, manual list, or extracted from competitor ASINs), rank by priority, generate copy that maximizes keyword coverage
- **Competitor keyword extraction**: Fetch competitor listings and automatically extract their title/bullet keywords as your baseline
- **8-dimension audit & scoring**: Title, bullets, description, images, A+ content, pricing, reviews, SEO coverage
- **Keyword coverage tracking**: Visual map showing which keywords appear in title / bullets / description / missing
- **Tone selection**: Professional, Friendly, Urgent, Luxury — affects AI copywriting style
- **Competitive benchmarking**: Compare your listing against competitors
- **Multi-marketplace**: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR

## Usage Examples

### Mode A — Create from Keywords

```
Create a listing for a portable blender. Keywords: portable blender, smoothie maker, USB rechargeable, travel blender, personal blender. Material: BPA-free Tritan. Color: White. Capacity: 380ml. Tone: Friendly.
```

```
I have these keywords from my research: [paste keyword list]. Product: silicone kitchen utensil set, 12 pieces, heat resistant to 480°F. Generate a full listing.
```

### Mode A — Create from Competitor ASINs

```
I want to sell a dog t-shirt on Amazon US. Here are 3 competitors I want to beat: B0D72TSM62, B0ABC12345, B0XYZ67890. My product is 100% cotton, 6 colors, XS-XL, funny print. Analyze their listings and create one that's better. Friendly tone.
```

```
Create a listing for my yoga mat. Look at this competitor: B09V3KXJPB. Extract their keywords, find what they're missing, and build a listing that covers more keywords than them. Product: 6mm TPE, non-slip, carrying strap included. Tone: Professional.
```

### Mode A — Create from Keywords + Competitor ASINs

```
Use amazon-keyword-research to find keywords for "portable blender", also analyze these competitors: B0CPY1GFVZ, B0CXLF3Y19. Combine all keywords and create a listing. Product: 380ml, USB-C, BPA-free Tritan. Tone: Professional.
```

### Mode B — Optimize Existing

```
Audit the listing for ASIN B0D72TSM62 on Amazon US
```

```
Optimize B0D72TSM62 using these keywords: dog shirt, pet clothes, puppy clothing — show me what's missing and rewrite
```

```
Optimize my listing B0D72TSM62 by analyzing these competitors: B0ABC12345, B0XYZ67890. Find what keywords they have that I don't, and rewrite my listing to beat them.
```

---

## Mode A Workflow — Create Listing from Keywords

### Step A1: Collect Keywords

Keywords can come from four sources (use one or combine multiple):

1. **From [amazon-keyword-research](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-keyword-research) skill** (recommended): Run keyword research first, then feed results directly. Install: `npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g`
2. **From competitor ASINs**: User provides 1-3 competitor ASINs → run `<skill>/scripts/fetch-listing.sh` on each → extract keywords from their titles, bullets, and descriptions → use as your keyword baseline. This is the fastest way to start — you inherit what's already working for competitors, then add more.
3. **From user's keyword list**: User pastes their own keyword list (e.g. from Helium 10 Cerebro, Jungle Scout, or manual research)
4. **Auto-discover**: Use `web_search` to find top keywords for the product category

When competitor ASINs are provided, always fetch and analyze them first. Extract every meaningful keyword from their titles and bullets, then merge with any user-provided keywords. The goal: cover everything competitors cover, plus keywords they missed.

### Step A2: Prioritize Keywords

Organize keywords into tiers:

```
🔴 Primary (must appear in Title):
  - [keyword] — [search volume if known]
  - [keyword] — [search volume if known]

🟡 Secondary (must appear in Bullets):
  - [keyword]
  - [keyword]

🟢 Tertiary (should appear in Description or Backend):
  - [keyword]
  - [keyword]

⚪ Long-tail (use where natural):
  - [keyword phrase]
  - [keyword phrase]
```

Priority rules:
- Highest search volume → Title (front-loaded)
- Medium volume + high relevance → Bullets (one primary keyword per bullet)
- Lower volume / long-tail → Description
- Remaining → Backend search terms (advise seller to add in Seller Central)

From LeoYeAI/openclaw-master-skills, MIT.

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