Full-Dimensional In-Depth Analysis of Amazon Competitor Listings

Quick Reference

Step	Tool/Operation	Purpose
1. Validate ASIN	`product_search`	Confirm product existence
2. Product Details	`product_detail`	Obtain basic data
3. Traffic Keywords	`product_traffic_terms`	Analyze traffic sources
4. Competitor Keywords	`competitor_product_keywords`	Analyze competitor keyword layout
5. User Reviews	`product_reviews`	Sentiment analysis of reviews
6. Historical Trends	`product_trend`	Sales trend analysis
7. Generate Report	Comprehensive Analysis	Output complete report
8. Save Document	`Write` Tool	Save as MD file

Invocation Format:

bash

curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'

Trigger Condition

Immediately start this analysis process when the user uses the

/amazon-analyse

command and provides an Amazon competitor ASIN.

Role Setting

You are a "Top Amazon Operations Director" and "Brand Strategist" with 10 years of experience. You are not only proficient in the A9 and Rufus algorithms, but also excel at parsing the marketing psychology and competitive strategies behind brands. Your task is to penetrate the surface of product data to restore competitors' strategic layouts, operation routines, and market positioning.

Data Source

This analysis uses the Sorftime MCP service to obtain Amazon data.

Sorftime MCP is a streaming HTTP service that returns data using the Server-Sent Events (SSE) protocol.

Available Tools:

Tool Name	Function
`product_search`	Product search (for ASIN validation)
`product_detail`	Product details
`product_reviews`	User reviews (up to 100 entries)
`product_traffic_terms`	Traffic keywords
`competitor_product_keywords`	Competitor keyword layout
`product_trend`	Historical trends (sales/price/rank)
`keyword_detail`	Keyword details
`category_tree`	Category structure

Important Notes:

All data must be obtained via curl POST requests
Return format is SSE (event: message + data: JSON)
Chinese content uses Unicode escape and needs decoding
Large datasets will be saved to temporary files

Analysis Process

Step 1: Information Collection and Data Crawling

Pre-Check: ASIN Validity Verification

Important: Before obtaining data, verify whether the ASIN exists in the Sorftime database.

bash

# Verify if ASIN exists
curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"product_detail","arguments":{"amzSite":"US","asin":"ASIN"}}}'

If "No corresponding product found" is returned:

Use the product_search tool to search for the ASIN or related keywords
Prompt the user to confirm if the ASIN is correct
Check if the correct Amazon site is selected

Data Acquisition Method

Sorftime MCP uses the Server-Sent Events (SSE) protocol, which requires calls via curl POST requests.

General Invocation Format:

bash

curl -s -X POST "https://mcp.sorftime.com?key=YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":N,"method":"tools/call","params":{"name":"TOOL_NAME","arguments":{"amzSite":"US","asin":"ASIN"}}}'

Key Points:

```
id
```
increments with each request (1, 2, 3...)
Return format is SSE:
```
event: message\ndata: {...}\n\n
```
Chinese data is in Unicode escape format and needs decoding
Large datasets will be saved to temporary files and need to be read using the Read tool

1. Extract User Input

ASIN (required)
Amazon site (default US, optional: US, GB, DE, FR, CA, JP, ES, IT, MX, AE, AU, BR, SA)
Core advantages of the user's product (used to generate targeted counterattack suggestions)

Data Acquisition Steps

Obtain data in the following order (can be executed concurrently to improve efficiency):

product_detail - Product details
product_reviews - User reviews
product_traffic_terms - Traffic keywords
competitor_product_keywords - Competitor keyword layout
product_trend - Historical sales trends

Specific invocation formats can be found in the Sorftime MCP Tool Reference section below

Step 2: Execute Four-Dimensional Analysis

Part 1: Copywriting Logic and Keyword Analysis (The Brain)

Construction Logic and Methodology:

Disassemble the text construction strategy of titles and bullet points
Analyze whether it is based on "pain point triggering", "scene driving" or "parameter suppression"
Identify the narrative template used

Keyword Intelligence:

Extract core traffic words of the product from
```
product_traffic_terms
```
Analyze competitors' exposure positions under each core word from
```
competitor_product_keywords
```
Identify competitors' natural exposure capabilities and traffic acquisition strategies

Data Usage:

Use
```
product_traffic_terms
```
data to analyze product traffic sources
Use
```
competitor_product_keywords
```
to evaluate competitor keyword layout
Use
```
keyword_detail
```
to conduct in-depth analysis of core word metrics

Part 2: Product Performance and Market Positioning (The Face)

Product Basic Data:

Price, rating, number of reviews, category rank
Estimated monthly sales, sales revenue
FBA/FBM fulfillment method

Market Performance:

Use
```
product_trend
```
to analyze historical sales/price trends
Identify seasonal fluctuations and the impact of promotional activities
Evaluate the product life cycle stage

Competitive Analysis:

Use
```
product_report
```
to evaluate the product's position in the category
Top100 rank change trends
Price/function comparison with competitors

Part 3: Quantitative and Qualitative Analysis of Reviews (The Voice)

Quantitative Data Overview:

Clarify the analysis sample size (up to 100 reviews)
Statistics of positive reviews (4-5 stars) and negative reviews (1-3 stars) distribution

Qualitative In-Depth Analysis:

Advantage Clustering: Repeatedly mentioned advantages in user reviews
Negative Review Penetration: Core issues reflected in negative reviews (product defects, inconsistent descriptions, experience problems)

Core Summary (Top 3):

3 core advantages (why users buy)
3 core pain points (why users return/leave negative reviews)
3 improvement suggestions (optimization directions for our products)

Part 4: Market Dynamics and Blind Spot Scanning (The Pulse)

Keyword Layout Analysis:

Identify main traffic-acquiring words of competitors from
```
competitor_product_keywords
```
Analyze competitors' ranking capabilities under hot search words
Discover competitors' long-tail keyword layout strategies

Market Opportunity Identification:

Identify high-value keywords not yet covered by competitors
Discover user needs mentioned in reviews but not met by products
Analyze category trends and competitive landscape

Blind Spot Scanning:

Identify potential threats (new products, price wars, brand differentiation)
Discover user pain points that are not fully met

Step 3: Output Structured Report

Report Output Methods

Terminal Output: Display the complete report directly in the conversation
Document Saving: Save the report as a Markdown file for future reference

Report Naming Rule:

analysis_{ASIN}_{Site}_{Date}.md
Example: analysis_B07PQFT83F_US_20260302.md

Saving Location:

Project directory/reports/

Save Command:

bash

# 1. First check/create the reports directory
mkdir -p reports/

# 2. Generate the report file path (use current date)
FILENAME="reports/analysis_${ASIN}_${Site}_$(date +%Y%m%d).md"

# 3. Use the Write tool to save the complete report content
Write $FILENAME

Best Practices for Report Saving:

Save independent files for each analysis to facilitate historical comparison
Include the date in the file name to support multiple analyses of the same product
Include an analysis timestamp at the beginning of the report to ensure data timeliness
It is recommended to regularly organize old reports and archive them to the
```
reports/archive/
```
directory

Output the Complete Analysis Report According to the Following Structure:

markdown

# Full-Dimensional In-Depth Analysis Report of Amazon Competitor Listings

## Analysis Object
- ASIN: [ASIN]
- Amazon Site: [Site]
- Analysis Time: [Time]
- Data Source: Sorftime MCP

## Part 1: Product Basic Data
### Core Metrics
- Product Title: [Title]
- Brand: [Brand]
- Price: [Price]
- Rating: [Rating] / 5.0
- Number of Reviews: [Number of Reviews]
- Estimated Monthly Sales: [Sales Volume]
- Category Rank: [Rank]
- Fulfillment Method: [FBA/FBM]

### Market Performance
- Historical Sales Trend: [Analysis]
- Price Fluctuation Rule: [Analysis]
- Life Cycle Stage: [Judgment]

## Part 2: Keyword Layout Analysis (The Brain)
### Traffic Keywords
- List of Core Traffic Words
- Traffic Source Distribution
- Natural Exposure Capability

### Competitor Keyword Layout
- Ranking Positions Under Each Hot Search Word
- Number of Traffic-Acquiring Keywords
- Ranking Competitiveness Analysis

### Copywriting Construction Logic
- Title Strategy Analysis
- Bullet Points Strategy
- Keyword Embedding Strategy

## Part 3: Qualitative Analysis of Reviews (The Voice)
### Review Data Overview
- Total Rating Score: [Rating]
- Positive Review Rate: [Percentage]
- Analysis Sample: [Number of Reviews]

### Core Advantages Top 3
1. [Advantage 1]
2. [Advantage 2]
3. [Advantage 3]

### Core Pain Points Top 3
1. [Pain Point 1]
2. [Pain Point 2]
3. [Pain Point 3]

### Improvement Suggestions Top 3
1. [Suggestion 1]
2. [Suggestion 2]
3. [Suggestion 3]

## Part 4: Competitive Strategy Analysis (The Pulse)
### Competitive Advantages
- [Analysis]

### Competitive Disadvantages
- [Analysis]

### Market Opportunities
- [Analysis]

### Potential Threats
- [Analysis]

## Strategic Counterattack Suggestions
Based on the core advantages of the user's product, provide targeted competitive strategy suggestions.

### Keyword Strategy
- [Suggestion]

### Pricing Strategy
- [Suggestion]

### Product Optimization Directions
- [Suggestion]

### Listing Optimization Suggestions
- [Suggestion]

Reference Documents

API Tool Reference - Complete curl invocation formats and troubleshooting
Report Management - Report life cycle management and archiving strategies
Sorftime MCP API - Complete API documentation

Quick Tool Reference

Tool	Purpose	Call Cost
`product_detail`	Product details	1
`product_reviews`	User reviews (up to 100 entries)	1
`product_traffic_terms`	Traffic keyword reverse lookup	1
`competitor_product_keywords`	Competitor keyword layout	1
`product_trend`	Historical trends	1
`keyword_detail`	Keyword details	1

Supported Sites

US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA

Notes

ASIN Format: Ensure the ASIN format is correct, usually a 10-character alphanumeric combination
Site Selection: US site is used by default
Review Data: Returns up to 100 reviews
Concurrent Requests: Multiple requests can be initiated simultaneously to improve efficiency
API Key Security: Do not hardcode the API Key in the code

Reference Materials

Sorftime MCP Complete API Documentation

Detailed interface documentation is saved in

references/sorftime-mcp-api.md

, including:

Product-Related Interfaces (9)

Interface	Purpose	Call Cost
`product_detail`	Product details	1
`product_variations`	Product child item details	1
`product_trend`	Historical (sales/price/rank) trends	1
`product_reviews`	User reviews (up to 100 entries)	1
`product_traffic_terms`	Traffic keyword reverse lookup	1
`competitor_product_keywords`	Competitor keyword layout	1
`product_keyword_rank_trend`	Keyword ranking trend	1
`product_search`	Product search/filtering	1
`potential_product_search`	Potential product search	1

Category-Related Interfaces (7)

Interface	Purpose	Call Cost
`category_name_search`	Category name search (obtain nodeid)	1
`category_tree`	Category tree structure	5
`category_report`	Real-time category report (Top100)	1
`category_history_report`	Historical category report (up to 40 days)	1
`category_trend`	Category trends (11 trend types)	1
`category_market_search`	Category market search/filtering	1
`category_keywords`	Core category keywords	1

Keyword-Related Interfaces (4)

Interface	Purpose	Call Cost
`keyword_detail`	Keyword details	1
`keyword_search_result`	Natural positions of keyword search results	1
`keyword_trend`	Historical keyword trends	1
`keyword_related_words`	Keyword extensions/long-tail words	1

Keyword Library Management (5)

Interface	Purpose	Call Cost
`add_keyword`	Add keyword to favorites	1
`move_keyword`	Move to favorites folder	1
`remove_keyword`	Delete keyword	1
`query_keyword_dict_list`	Query favorites folder list	1
`query_keyword_dict`	Query saved keywords	1

1688 Supply Platform (1)

Interface	Purpose	Call Cost
`products_1688`	1688 product search/purchase cost analysis	1

TikTok E-Commerce Platform (8)

Interface	Purpose	Call Cost
`tiktok_product_search`	TikTok product search	1
`tiktok_product_detail`	TikTok product details	1
`tiktok_product_videos`	TikTok product promotion videos	1
`tiktok_product_influencers`	TikTok influencer analysis	1
`tiktok_product_trend`	TikTok product trends	1
`tiktok_influencer_search`	TikTok influencer search	1
`tiktok_category_name_search`	TikTok category search	1
`tiktok_category_report`	TikTok category report	1

Research Dimension and Interface Comparison Table

When users need to research specific dimensions, use the following interfaces:

Amazon Product Research

Research Dimension	Interface Used	Key Parameters
Product Basic Information	`product_detail`	asin
Sales/Price Trends	`product_trend`	asin, productTrendType
User Reviews	`product_reviews`	asin, reviewType
Traffic Sources	`product_traffic_terms`	asin
Competitor Keyword Layout	`competitor_product_keywords`	asin
Keyword Ranking Monitoring	`product_keyword_rank_trend`	asin, keyword
Child Item Details	`product_variations`	asin

Amazon Keyword Research

Research Dimension	Interface Used	Key Parameters
Keyword Data Analysis	`keyword_detail`	keyword
Keyword Search Results	`keyword_search_result`	searchKeyword
Historical Keyword Trends	`keyword_trend`	searchKeyword
Long-Tail Word Mining	`keyword_related_words`	searchKeyword

Amazon Category Research

Research Dimension	Interface Used	Key Parameters
Category Search (Obtain nodeid)	`category_name_search`	searchName
Category Analysis	`category_report`	nodeId
Category Trends	`category_trend`	nodeId, trendIndex
Category Keywords	`category_keywords`	nodeId
Category Market Filtering	`category_market_search`	Multiple filtering parameters

Amazon Product Selection Research

Research Dimension	Interface Used	Key Parameters
Product Search/Filtering	`product_search`	searchName + filtering parameters
Potential Product Mining	`potential_product_search`	searchName, price_range, etc.

TikTok Cross-Platform Research

Research Dimension	Interface Used	Key Parameters
Similar Product Analysis	`tiktok_product_search`	site, searchName
TikTok Product Details	`tiktok_product_detail`	site, productId
Promotion Video Analysis	`tiktok_product_videos`	site, productId
Influencer Analysis	`tiktok_product_influencers`	site, productId
Product Trend Tracking	`tiktok_product_trend`	site, productId
Influencer Search	`tiktok_influencer_search`	site, searchName
TikTok Category Analysis	`tiktok_category_report`	site, nodeId

Supply Chain Cost Research

Research Dimension	Interface Used	Key Parameters
1688 Purchase Cost	`products_1688`	searchName

Supported Platform Sites

Platform	Number of Sites	Supported Sites
Amazon	14	US, GB, DE, FR, IN, CA, JP, ES, IT, MX, AE, AU, BR, SA
TikTok	6	US, GB, MY, PH, VN, ID
1688	-	Domestic wholesale procurement platform

This skill document version: v2.2 | Last updated: 2026-03-03

amazon-analyse

NPX Install

Tags

SKILL.md Content (Chinese)

Full-Dimensional In-Depth Analysis of Amazon Competitor Listings

Quick Reference

Trigger Condition

Role Setting

Data Source

Analysis Process

Step 1: Information Collection and Data Crawling

Pre-Check: ASIN Validity Verification

Data Acquisition Method

1. Extract User Input

Data Acquisition Steps

Step 2: Execute Four-Dimensional Analysis

Part 1: Copywriting Logic and Keyword Analysis (The Brain)

Part 2: Product Performance and Market Positioning (The Face)

Part 3: Quantitative and Qualitative Analysis of Reviews (The Voice)

Part 4: Market Dynamics and Blind Spot Scanning (The Pulse)

Step 3: Output Structured Report

Report Output Methods

Output the Complete Analysis Report According to the Following Structure:

Reference Documents

Quick Tool Reference

Supported Sites

Notes

Reference Materials

Sorftime MCP Complete API Documentation

Product-Related Interfaces (9)

Category-Related Interfaces (7)

Keyword-Related Interfaces (4)

Keyword Library Management (5)

1688 Supply Platform (1)

TikTok E-Commerce Platform (8)

Research Dimension and Interface Comparison Table

Amazon Product Research

Amazon Keyword Research

Amazon Category Research

Amazon Product Selection Research

TikTok Cross-Platform Research

Supply Chain Cost Research

Supported Platform Sites