# amazon-rank-tracker

Tracks Amazon keyword positions and diagnoses sudden search drops. Built for sellers to monitor organic ranks and benchmark performance against competitors.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1100 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-rank-tracker/SKILL.md
- Updated: 2026-08-26
- HTML: https://affpapa.org/en/nevibecode/skills/amazon-rank-tracker

## What it does

This skill helps Amazon sellers understand and defend their search visibility. It monitors keyword positions, compares listings against category rivals, and identifies factors behind sudden ranking drops. When organic placement drops, the tool links the change to algorithm shifts or competitor moves.

The workflow runs systematically. It starts by auditing current positions and benchmarking them against niche leaders. Next, continuous monitoring connects ranking movements directly to traffic and revenue impacts. Finally, it outlines recovery steps using testing cycles and defensive optimization.

The resulting report breaks down keyword distribution across search pages and compares organic visibility against paid search costs. Accurate diagnosis requires real search phrases and sales numbers, because without input data the analysis remains purely theoretical.

## Install

### Claude Code (native platform)

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

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

### Codex

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

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

### Cursor

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

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

### GitHub Copilot

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

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

### Gemini CLI

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

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

### Windsurf (Devin Desktop)

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

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-rank-tracker -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-rank-tracker/SKILL.md

## When to use it
- diagnose sudden keyword position drops on Amazon
- correlate organic rank changes with traffic and sales revenue
- benchmark listing visibility against primary market competitors
- create structured recovery strategies after algorithm changes

## Example prompts
- Set up rank tracking for my listing across our primary keyword list with competitive benchmarks
- My primary search term dropped to the second page, so analyze ranking factors and draft a recovery plan
- Monitor competitor positions and identify target terms where we can outrank them

## 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: bfe3d75c7f72ece3.

BEGIN THIRD-PARTY FILE bfe3d75c7f72ece3
````text
---
name: amazon-rank-tracker
description: "Amazon keyword rank tracking and performance analysis. Comprehensive ranking factor analysis, change diagnosis, improvement strategy development, and competitive position monitoring. Use when the user asks about keyword rankings, position tracking, ranking changes, or competitive analysis."
metadata: {"nexscope":{"emoji":"📍","category":"amazon"}}
---

# Amazon Rank Tracker 📍

Strategic Amazon keyword rank tracking and performance optimization. Monitor, analyze, and improve search positions with data-driven insights.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-rank-tracker -g
```

## Usage Examples

**Comprehensive rank tracking setup:**
```
"Set up rank tracking for my water bottle across 15 keywords - need baseline analysis, competitive benchmarks, and improvement strategy"
```

**Ranking change diagnosis:**
```
"My main keyword dropped from position 3 to page 2 - analyze ranking factors and create recovery plan"
```

**Competitive rank monitoring:**
```
"Monitor competitor rankings and identify opportunities where I can outrank them with strategic optimization"
```

## Core Capabilities

### 1. Advanced Rank Tracking & Performance Analysis
- Comprehensive keyword rank monitoring with historical trend analysis and competitive benchmarking
- Ranking factor assessment and algorithm change impact analysis for strategic optimization
- Performance correlation analysis linking rankings to traffic, conversions, and revenue metrics
- Multi-marketplace tracking and international ranking optimization across Amazon's global platforms

### 2. Competitive Intelligence & Market Position Analysis
- Competitor rank monitoring and strategic positioning analysis for market advantage identification
- Market share assessment and competitive gap analysis with opportunity prioritization
- Competitive response strategies and defensive ranking protection frameworks
- Industry benchmarking and category leadership positioning through systematic competitive analysis

### 3. Strategic Optimization & Ranking Improvement
- Data-driven ranking improvement strategies based on performance correlation and competitive analysis
- Algorithm adaptation frameworks and ranking factor optimization for sustained performance improvement
- Systematic A/B testing and optimization cycles for measurable ranking enhancement
- Advanced analytics integration and predictive modeling for proactive ranking management

## How It Works

### Step 1: Comprehensive Rank Analysis & Baseline Assessment
*Strategic ranking evaluation and competitive positioning analysis*
````
END THIRD-PARTY FILE bfe3d75c7f72ece3

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