# amazon-search-optimization

Builds an Amazon SEO and A9 ranking strategy for product listings. Helps sellers fix indexing gaps, rewrite titles, and organize backend search terms within limits.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1200 installs · ★ 805
- Author: nexscope-ai
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/nexscope-ai/Amazon-Skills/tree/HEAD/amazon-search-optimization/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/amazon-search-optimization

## What it does

The skill evaluates product listings against Amazon's A9 search algorithm. It breaks ranking down into four weighted factor groups: relevance factors at 40%, performance signals at 35%, customer satisfaction at 20%, and authority metrics at 5%.

It runs a three-step workflow covering search audits, listing optimization, and tracking. The generated plan restructures titles, aligns browse nodes, and budgets backend search terms against Amazon's 250-byte limit.

Without current ASIN metrics and competitor rank data, the skill produces generic breakdowns; prepare your baseline positions and conversion figures beforehand.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/amazon-search-optimization/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/amazon-search-optimization/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/amazon-search-optimization/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/amazon-search-optimization/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install nexscope-ai/Amazon-Skills amazon-search-optimization
```

2. **Manually: put the files in place**
- File: `.github/skills/amazon-search-optimization/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/nexscope-ai/Amazon-Skills --path amazon-search-optimization
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/amazon-search-optimization/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-search-optimization -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/nexscope-ai/Amazon-Skills/tree/HEAD/amazon-search-optimization/SKILL.md

## When to use it
- audit product listings against Amazon A9 ranking factors
- allocate backend search terms within the 250-byte limit
- restructure product titles for higher search relevance
- identify keyword indexing gaps across target search queries

## Example prompts
- My product ranks page 3 for 'wireless phone charger' - create an SEO strategy to reach page 1
- Optimize my listing for Amazon's A9 algorithm with a keyword plan and conversion factors
- My products have low search visibility - analyze ranking factors and build an optimization roadmap

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 56f13b5f6b63691a.

BEGIN THIRD-PARTY FILE 56f13b5f6b63691a
````text
---
name: amazon-search-optimization
description: "Amazon search ranking optimization and A9 algorithm mastery. Comprehensive SEO strategy, indexing optimization, keyword ranking improvement, and search visibility enhancement. Use when the user asks about Amazon SEO, A9 algorithm, search ranking, or product discoverability."
metadata: {"nexscope":{"emoji":"🔍","category":"amazon"}}
---

# Amazon Search Optimization 🔍

Strategic Amazon search ranking optimization and A9 algorithm mastery. Achieve top search positions and maximize organic visibility.

## Installation

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

## Usage Examples

**Complete search optimization strategy:**
```
"My product ranks page 3 for 'wireless phone charger' - create comprehensive SEO strategy to reach page 1"
```

**A9 algorithm optimization:**
```
"Optimize my listing for Amazon's A9 algorithm - need keyword strategy, performance factors, and ranking improvement plan"
```

**Search visibility improvement:**
```
"My products have low search visibility - analyze ranking factors and create optimization roadmap for better discoverability"
```

## Core Capabilities

### 1. A9 Algorithm Optimization & Ranking Strategy
- Comprehensive A9 algorithm factor analysis and optimization strategy development
- Search ranking factor assessment and competitive positioning analysis
- Keyword relevance optimization and search intent alignment strategies
- Performance signal optimization and conversion rate improvement tactics

### 2. Technical SEO & Indexing Optimization
- Amazon indexing optimization and search visibility enhancement techniques
- Technical SEO audit and listing structure optimization for maximum crawlability
- Backend search term optimization and keyword density management
- Category and browse node optimization for improved search classification

### 3. Performance Monitoring & Continuous Improvement
- Search ranking tracking and visibility measurement systems
- Competitive analysis and market position monitoring frameworks
- Performance optimization cycles and strategic ranking improvement processes
- Advanced analytics integration and ROI measurement for search optimization efforts

## How It Works

### Step 1: Comprehensive SEO Audit & A9 Algorithm Analysis
*Strategic assessment of current search performance and optimization opportunities*

Conduct thorough Amazon SEO analysis and A9 algorithm optimization planning:
- Analyze current search rankings across all relevant keywords to establish baseline performance metrics
- Audit listing content structure, keyword optimization, and A9 algorithm compliance factors
- Research competitive landscape and identify ranking gaps for strategic advantage opportunities
````
END THIRD-PARTY FILE 56f13b5f6b63691a

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