# Amazon Listing Optimization

> Constructor y optimizador de listados de Amazon: crea listados desde cero con keywords o audita y reescribe listados existentes, con puntuación en 8 dimensiones.

Fuente: https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-listing-optimization
Markdown: https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-listing-optimization.md

Repositorio: https://github.com/nexscope-ai/Amazon-Skills
Autor: nexscope-ai
Licencia: MIT
Actualizado: hace 5 meses
Coste de contexto: 187 tok instalada, 4.4k tok al activarse, 5.2k tok con todos los archivos del bundle
Bundle: 3 archivos, 20 KB
Permisos que pide: ninguno declarado

## Instalación

Un skill son archivos markdown: los mismos archivos valen para cualquier agente y lo único que cambia es el directorio de destino, es decir la bandera `--agent`. Añade `-g` para instalarlo en todos los proyectos de la máquina.

```bash
# Claude Code
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent claude-code
# Cursor
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent cursor
# Codex
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent codex
# Gemini CLI
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent gemini
# Windsurf
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent windsurf
# Cline
npx -y skills add nexscope-ai/Amazon-Skills --skill amazon-listing-optimization --agent cline
```

## Qué hace

- Genera listados de Amazon nuevos a partir de keywords, ASINs de competidores o ambos, con copywriting en el tono elegido
- Audita listados existentes en 8 dimensiones (título, bullets, imágenes, A+, precio, reseñas, SEO) y puntúa cada una
- Extrae keywords de listados de competidores y detecta huecos frente al listado propio
- Reescribe título, bullets, descripción y backend search terms incorporando keywords faltantes
- Genera un mapa de cobertura de keywords y funciona en 12 marketplaces de Amazon

## Cuándo usarla

- Crear un listado nuevo de Amazon a partir de keywords
- Auditar un listado existente para SEO y conversión
- Comprobar la cobertura de keywords en título, bullets o descripción
- Comparar un listado propio contra el de competidores antes de lanzarlo o relanzarlo

## Qué la activa

- "Crea un listado para una licuadora portátil con estas keywords: portable blender, smoothie maker, USB rechargeable"
- "Audita el listado del ASIN B0D72TSM62 en Amazon US"
- "Optimiza mi listado B0D72TSM62 comparándolo con estos competidores: B0ABC12345, B0XYZ67890"

## Antes de instalar

- No requiere API key; opcionalmente se integra con la skill amazon-keyword-research para importar keywords.
- Necesita en el PATH: curl, npx, sed
- Variables de entorno: ASIN, DOMAIN, DOMAINS, IMG_COUNT, PAGE
- makes network requests
- reads environment config

## Archivos

- SKILL.md — 17 KB
- _meta.json — 94 B
- scripts/fetch-listing.sh — 3 KB

## SKILL.md

Reproducido tal cual desde nexscope-ai/Amazon-Skills bajo MIT. Esta sección es el documento original y está en inglés.

# 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)

### Step A3: Collect Product Characteristics

Ask or extract from user input:
- **Product name / type**
- **Brand name**
- **Key attributes**: Material, color, size, weight, capacity, quantity
- **Key features**: What makes it different (3-5 features)
- **Target audience**: Who buys this?
- **Use cases**: Top 3 scenarios
- **What's in the box**: Everything included

### Step A4: Select Tone

| Tone | Style | Best for |
|------|-------|----------|
| **Professional** | Authoritative, spec-focused, trust-building | Electronics, tools, B2B |
| **Friendly** | Conversational, benefit-focused, relatable | Kitchen, lifestyle, gifts |
| **Urgent** | Scarcity-driven, action words, problem-solving | Health, safety, seasonal |
| **Luxury** | Premium, sensory language, exclusivity | Beauty, fashion, premium goods |

Default: **Professional** if not specified.

### Step A5: Generate Listing Copy

Generate each component following these rules:

**Title (max 200 characters):**
- Format: `[Brand] + [Primary Keyword] + [Key Attribute 1] + [Key Attribute 2] + [Secondary Keyword] + [Differentiator]`
- Primary keyword as close to the front as possible (after brand)
- No ALL CAPS except brand name
- No promotional claims ("best", "#1", "top rated")
- Include size/color/quantity if relevant to search

**Bullet Points (5 bullets, max 500 chars each):**
- Each bullet: `[BENEFIT HEADER IN CAPS] — [Benefit explanation with keyword naturally embedded]`
- Bullet 1: Primary feature + primary keyword
- Bullet 2: Key use case + secondary keyword
- Bullet 3: Quality/material + trust signal
- Bullet 4: What's included / compatibility
- Bullet 5: Guarantee / differentiator / social proof hint
- Each bullet should contain at least 1 target keyword

**Description (max 2000 characters):**
- Opening: Problem/pain point the product solves
- Middle: Features → benefits (expand on bullets, don't repeat verbatim)
- Close: Call to action + what's in the box
- Embed remaining keywords not used in title/bullets
- Use line breaks for readability

### Step A6: Keyword Coverage Score

After generating, produce a coverage map:

```
## Keyword Coverage Report

| Keyword | Volume | In Title? | In Bullets? | In Description? | Status |
|---------|--------|-----------|-------------|-----------------|--------|
| portable blender | 45,000 | ✅ | ✅ | ✅ | 🟢 Covered |
| smoothie maker | 22,000 | ❌ | ✅ | ✅ | 🟡 Add to title |
| USB rechargeable | 18,000 | ✅ | ✅ | ❌ | 🟢 Covered |
| travel blender | 12,000 | ❌ | ❌ | ✅ | 🟡 Add to bullets |
| mini blender | 8,000 | ❌ | ❌ | ❌ | 🔴 Missing |

Coverage: 18/22 keywords (82%)
Title keywords: 6/8 slots used
Bullet keywords: 12/15 target keywords covered
Uncovered → recommend for Backend Search Terms
```

**Scoring:**
- 🟢 90%+ coverage = Excellent
- 🟡 70-89% = Good, minor gaps
- 🔴 <70% = Needs work, significant keywords missing

---

## Mode B Workflow — Optimize Existing Listing

### Step B1: Fetch Listing Data

Run the bundled script:

```bash
<skill>/scripts/fetch-listing.sh "<ASIN>" [marketplace]
```

**Parameters:**
- `ASIN` (required): e.g. B09V3KXJPB
- `marketplace` (optional): `us` (default), `uk`, `de`, `fr`, `it`, `es`, `jp`, `ca`, `au`, `in`, `mx`, `br`

**Extracts:** Title, brand, price, bullet points, description, image count, A+ content presence, rating, review count, BSR, categories, date first available.

If script returns incomplete data, fall back to `web_fetch` on the product URL.

### Step B2: Discover Target Keywords

If user provides keywords, use those. Otherwise, auto-discover:

1. Extract apparent keywords from current title and bullets
2. Run `web_search` for `site:amazon.com "[product type]"` to find competitors
3. Extract keywords from top 3 competitor titles and bullets
4. (Optional) Chain with `amazon-keyword-research` skill for deeper analysis
5. Compile a combined keyword list with estimated priority

### Step B3: Keyword Gap Analysis

Compare current listing against target keywords:

```
## Keyword Gap Analysis: [ASIN]

### ✅ Keywords Found in Listing
| Keyword | In Title | In Bullets | In Description |
|---------|----------|------------|----------------|
| [kw] | ✅ | ✅ | ❌ |

### ❌ Missing Keywords (Competitors Have, You Don't)
| Keyword | Competitor 1 | Competitor 2 | Competitor 3 | Priority |
|---------|-------------|-------------|-------------|----------|
| [kw] | ✅ Title | ✅ Bullet | ❌ | 🔴 High |

### Coverage: X/Y keywords (Z%)
```

### Step B4: 8-Dimension Audit

Score each on the scale shown, with keyword integration factored in:

| Dimension | Max Score | Key Criteria |
|-----------|-----------|-------------|
| **Title** | /15 | Primary keyword near front? Brand? Attributes? Under 200 chars? Not truncated on mobile? |
| **Bullet Points** | /15 | All 5 used? Benefit-first? Keywords embedded naturally? Under 500 chars each? |
| **Images** | /15 | 7+ images? White bg main? Infographic? Lifestyle? Size ref? Video? |
| **A+ Content** | /10 | Present? Brand story? Comparison chart? Lifestyle imagery? |
| **Description** | /10 | Keywords not in title/bullets? Readable? Problem→solution flow? |
| **Pricing** | /10 | Competitive? Coupon/deal present? |
| **Reviews** | /15 | 4.0+ stars? 100+ reviews? Recent reviews positive? |
| **SEO Coverage** | /10 | Primary kw in title+bullets+desc? Long-tail present? No wasted repeats? **Keyword coverage %** |

### Step B5: Generate Optimized Copy

Rewrite the listing incorporating missing keywords:
- Show **before vs after** for each component
- Highlight which keywords were added and where
- Maintain the brand's existing tone unless a different tone is requested

---

## Output Formats

The primary deliverable is always a **ready-to-use listing** that the seller can copy-paste directly into Seller Central. Diagnostic data (scores, keyword analysis) comes after as supporting evidence.

### Mode A Output — New Listing

```
# ✅ Your Listing — Ready to Use

## Title
[title text — copy this directly into Seller Central]

## Bullet Points
1. [BENEFIT HEADER] — [text with keyword]
2. [BENEFIT HEADER] — [text with keyword]
3. [BENEFIT HEADER] — [text with keyword]
4. [BENEFIT HEADER] — [text with keyword]
5. [BENEFIT HEADER] — [text with keyword]

## Description
[description text — copy this directly into Seller Central]

## Backend Search Terms
[comma-separated keywords to paste into Seller Central → Keywords → Search Terms]

---

# 📊 How We Built This Listing (Diagnostic)

**Marketplace:** Amazon [XX] | **Tone:** [tone] | **Keywords imported:** [count]
**Title characters:** [X]/200 | **Description characters:** [X]/2000

## Keyword Coverage: [X]%

| Keyword | Volume | In Title | In Bullets | In Description | Status |
|---------|--------|----------|------------|----------------|--------|
| [kw] | [vol] | ✅/❌ | ✅/❌ | ✅/❌ | 🟢🟡🔴 |

## Keyword Priority Breakdown
🔴 Primary (Title): [list]
🟡 Secondary (Bullets): [list]
🟢 Tertiary (Description): [list]
⚪ Backend: [list]
```

### Mode B Output — Audit + Optimized Listing

```
# ✅ Optimized Listing — Ready to Use

## Title
[optimized title — copy this directly into Seller Central]

## Bullet Points
1. [BENEFIT HEADER] — [optimized text]
2. [BENEFIT HEADER] — [optimized text]
3. [BENEFIT HEADER] — [optimized text]
4. [BENEFIT HEADER] — [optimized text]
5. [BENEFIT HEADER] — [optimized text]

## Description
[optimized description — copy this directly into Seller Central]

## Backend Search Terms
[comma-separated keywords to paste into Seller Central → Keywords → Search Terms]

---

# 📊 Audit Report: [ASIN]

**Product:** [title] | **Brand:** [brand]
**Price:** [price] | **Rating:** [stars] ([count] reviews)

## Score: [X/100] → [Y/100] (after optimization)

| Dimension | Before | After | Key Change |
|-----------|--------|-------|-----------|
| Title | /15 | /15 | [what changed] |
| Bullet Points | /15 | /15 | [what changed] |
| Images | /15 | — | [recommendation only] |
| A+ Content | /10 | — | [recommendation only] |
| Description | /10 | /10 | [what changed] |
| Pricing | /10 | — | [observation] |
| Reviews | /15 | — | [observation] |
| SEO Coverage | /10 | /10 | [what changed] |

## Keyword Coverage: [X]% → [Y]%

| Keyword | Before | After | Where Added |
|---------|--------|-------|-------------|
| [kw] | ❌ | ✅ | Title + Bullet 2 |
| [kw] | ✅ Title only | ✅ Title + Bullets | Bullet 4 |

## What Changed (Before → After)

**Title:**
> ❌ [original]
> ✅ [optimized]

**Bullets:**
> ❌ 1. [original]
> ✅ 1. [optimized — added: +[kw1], +[kw2]]

## 🔴 Issues Fixed
1. [what was wrong → how we fixed it]

## 🟡 Recommendations (requires seller action)
1. [image improvements, A+ content, pricing — things the skill can't rewrite]

## 🟢 What Was Already Working
1. [positive aspects preserved]
```

### Competitive Comparison (if requested)

```
| Dimension | Your Listing | Competitor 1 | Competitor 2 | Competitor 3 |
|-----------|-------------|-------------|-------------|-------------|
| Title score | /15 | /15 | /15 | /15 |
| Bullets score | /15 | /15 | /15 | /15 |
| Images | [count] | [count] | [count] | [count] |
| A+ Content | Yes/No | Yes/No | Yes/No | Yes/No |
| Keyword coverage | X% | X% | X% | X% |
| Price | — | — | — | — |
| Rating | — | — | — | — |
| **Total** | **/100** | **/100** | **/100** | **/100** |
```

### Key principles

1. The seller's workflow is: **copy the listing → paste into Seller Central → done.** The diagnostic section explains WHY those specific words were chosen, but the listing itself must stand alone as a complete, ready-to-use deliverable. Never output only a report without the actual listing copy.

2. **Output language must match the target marketplace.** Amazon US/UK/AU/CA/IN → English. Amazon DE → German. Amazon FR → French. Amazon JP → Japanese. Amazon ES/MX → Spanish. Amazon IT → Italian. Amazon BR → Portuguese. The entire output (listing copy AND diagnostic section) must be in the marketplace language, regardless of what language the user is speaking in the conversation.

## Integration with amazon-keyword-research

This skill works best when chained with [amazon-keyword-research](https://github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-keyword-research):

```
Step 1: "Research keywords for portable blender on Amazon US"
   → amazon-keyword-research returns keyword list with volumes

Step 2: "Now create a listing using those keywords. Product: 380ml BPA-free blender, USB-C rechargeable. Tone: Friendly."
   → amazon-listing-optimization Mode A uses the keywords to generate optimized copy
```

## Limitations

This skill uses publicly available data from Amazon product pages. It cannot access backend search terms, exact search volumes, or PPC/conversion data. For deeper analytics, check out **[Nexscope](https://www.nexscope.ai/?co-from=skill)** — Your AI Assistant for smarter E-commerce decisions.

---

**Built by [Nexscope](https://www.nexscope.ai/?co-from=skill)** — research, validate, and act on e-commerce opportunities with AI.

## Dónde encaja

- Categoría: [Marketing](https://skillsagentes.com/categorias/marketing.md) — Campañas, copy, lanzamientos y ciclos de crecimiento.
- Creador: [nexscope-ai](https://skillsagentes.com/creators/nexscope-ai.md) — 52 skills en el directorio
- [Todas las skills](https://skillsagentes.com/skills.md)
- [Ranking de instalaciones](https://skillsagentes.com/ranking.md)

## Otras skills del mismo repositorio

- [Amazon Product Photography](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-product-photography.md): Planifica fotografía de producto para Amazon lista para rodaje: sets de imágenes de listing, infografías, escenas de estilo de vida y briefs de producción.
- [Amazon Global Selling](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-global-selling.md): Evalúa y planifica la expansión a marketplaces de Amazon entre países, cubriendo demanda, economía, impuestos, cumplimiento, logística y localización; no sustituye asesoría legal, fiscal, aduanera o de certificación.
- [Amazon Fba Prep](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-fba-prep.md): Construye un plan específico por producto para preparación FBA, etiquetado, empaque y disponibilidad de envío en Amazon; no sustituye los requisitos vigentes de Seller Central.
- [Amazon Deal Finder](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-deal-finder.md): Planificación de deals y optimización de estrategia promocional en Amazon: Lightning Deals, Best Deals, Coupons, Prime Exclusive Discounts, elegibilidad, timing y cálculo de ROI.
- [Amazon Listing Images](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-listing-images.md): Estrategia y optimización de imágenes para listings de Amazon: shot list, infografías, fotografía de estilo de vida, optimización móvil y contenido visual enfocado en conversión.

## Skills relacionadas

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- [Amazon Wholesale Sourcing](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-wholesale-sourcing.md): Sourcing mayorista de productos: descubrimiento de proveedores, negociación, optimización de MOQ y análisis de márgenes, para Amazon en todos los marketplaces.
- [Amazon Keyword Tracker](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-keyword-tracker.md): Monitoreo de posiciones de keywords en Amazon y análisis de SERP. Seguimiento en tiempo real, alertas de movimientos de competidores, cambios en resultados de búsqueda y optimización del rendimiento de keywords.
- [Amazon Storefront Design](https://skillsagentes.com/skills/nexscope-ai/amazon-skills/amazon-storefront-design.md): Constructor de Amazon Store — layouts de página, historia de marca, imágenes shoppable, generación de tráfico y optimización de conversión.

---

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