amazon-keyword-research

The saved excerpt is a snapshot from when this skill was listed. The external source remains the complete and most current version.

---
name: amazon-keyword-research
description: "Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'."
metadata: {"nexscope":{"emoji":"🔍","category":"amazon"}}
---

# Amazon Keyword Research 🔍

Free keyword research for Amazon sellers. No API key — works out of the box.

## Installation

```bash
npx skills add nexscope-ai/Amazon-Skills --skill amazon-keyword-research -g
```

## Capabilities

- **Long-tail keyword mining**: Extract 100-200 real search terms from Amazon's autocomplete engine
- **Competitor landscape analysis**: Product count, price range, average rating, review distribution, top brands
- **Seasonal trend detection**: 12-month Google Trends data to identify peak seasons and demand shifts
- **Market opportunity scoring**: 1-10 score combining competition density, price room, and demand signals
- **Multi-marketplace support**: US, UK, DE, FR, IT, ES, JP, CA, AU, IN, MX, BR
- **Keyword comparison**: Side-by-side analysis of multiple keywords

## Usage Examples

Users can ask naturally. Examples:

```
Research the keyword "portable blender" on Amazon US
```

```
Find long-tail keywords for "yoga mat" on Amazon
```

```
I want to sell resistance bands. What does the Amazon keyword landscape look like?
```

```
Compare "laptop stand" vs "monitor stand" on Amazon US — which has more opportunity?
```

```
Analyze "Küchenmesser" on Amazon Germany
```

```
Research "water bottle" across Amazon US, UK, and DE
```

## Workflow

### Step 1: Gather Autocomplete Data

Run the bundled script to collect Amazon autocomplete suggestions:

```bash
<skill>/scripts/research.sh "<keyword>" [marketplace]
```

**Parameters:**
- `keyword` (required): The seed keyword to research
- `marketplace` (optional): `us` (default), `uk`, `de`, `fr`, `it`, `es`, `jp`, `ca`, `au`, `in`, `mx`, `br`

**What the script does:**
- Queries Amazon's autocomplete API with the seed keyword
- Expands with prefixes: "best [keyword]", "cheap [keyword]", "top [keyword]"
- Expands with a-z suffixes: "[keyword] a", "[keyword] b", ... "[keyword] z"
- Returns deduplicated, sorted list of real search suggestions — one per line

**Why this matters:** Amazon autocomplete reflects what real shoppers are actually typing. These aren't guesses — they're demand signals directly from Amazon's search engine. The prefix and alphabet expansion catches long-tail terms that basic autocomplete misses, which are often lower competition and higher intent.

Example:
```bash
<skill>/scripts/research.sh "portable blender" us
# Returns 100-200 long-tail keywords
```

For multi-marketplace research, run the script once per marketplace.

### Step 2: Analyze Competition

Use `web_search` to gather competitor intelligence:

1. Search `"<keyword>" site:amazon.com` — note approximate result count for competition density
2. Search `"<keyword>" amazon best sellers price review` — extract price patterns, rating averages, dominant brands
3. Summarize: total competitors, price range (min/avg/max), average star rating, top 5 brands by visibility

**Why this matters:** Raw keyword volume means nothing witho