Amazon Listing Optimization

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkDeclared1 observation
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 1bc9142374b1 · 19 Oct 2026Report an issue or request a re-scan

• Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
• Source foldernexscope-ai/Amazon-Skills/amazon-listing-optimizationThe exact folder we audited
• LicenceMITAs the repository states it
• Commit pinned for this verdict1bc9142374b1A new audit runs when the source changes
• Repository statusNot archivedLast push 54 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing…

---
name: amazon-listing-optimization
description: "Amazon listing builder and optimizer for sellers. Two modes: (A) Create — build keyword-optimized listings from scratch using keyword lists + product characteristics + AI copywriting, (B) Optimize — audit existing listings, find keyword gaps, score across 8 dimensions, and rewrite with missing keywords. Integrates with amazon-keyword-research for keyword input. Works on 12 Amazon marketplaces. No API key required. Use when: (1) creating a new Amazon listing from keywords, (2) auditing an existing listing for SEO and conversion, (3) checking keyword coverage in title/bullets/description, (4) generating listing copy with target keywords and tone, (5) comparing listings against competitors, (6) preparing a listing for launch or relaunch."
metadata: {"nexscope":{"emoji":"📝","category":"amazon"}}
---

# 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]

🟢 Tertia

Excerpt, first 6,005 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

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

git clone https://github.com/nexscope-ai/Amazon-Skills
git -C Amazon-Skills checkout 1bc9142374b1

Works in

1. 2026-10-19
   ✓SAFE B 89 / 100

   first audit · source 1bc9142374b1

Questions about Amazon Listing Optimization

• github.com/nexscope-ai/Amazon-Skills/tree/main/amazon-listing-op — the audited source at commit 1bc9142374b1 and every finding aboveObserved · 19 Oct 2026

Spotted something wrong? Report a correction · Methodology