Full-Dimensional In-Depth Analysis of Amazon Competitor Listings

Quick Reference

product_search

product_detail

product_traffic_terms

competitor_product_keywords

product_reviews

product_trend

Write

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

/amazon-analyse

Role Setting

Data Source

product_search

product_detail

product_reviews

product_traffic_terms

competitor_product_keywords

product_trend

keyword_detail

category_tree

• 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

# 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"}}}'

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

Data Acquisition Method

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"}}}'

• 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

1. product_detail - Product details
2. product_reviews - User reviews
3. product_traffic_terms - Traffic keywords
4. competitor_product_keywords - Competitor keyword layout
5. 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)

• 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

• 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

• 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)

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

• Use

  product_trend

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

• 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)

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

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

• 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)

• 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

• 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

• 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

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

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

Project directory/reports/

# 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

1. Save independent files for each analysis to facilitate historical comparison
2. Include the date in the file name to support multiple analyses of the same product
3. Include an analysis timestamp at the beginning of the report to ensure data timeliness
4. 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:

# 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

product_detail

product_reviews

product_traffic_terms

competitor_product_keywords

product_trend

keyword_detail

Supported Sites

Notes

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

Reference Materials

Sorftime MCP Complete API Documentation

references/sorftime-mcp-api.md

Product-Related Interfaces (9)

product_detail

product_variations

product_trend

product_reviews

product_traffic_terms

competitor_product_keywords

product_keyword_rank_trend

product_search

potential_product_search

Category-Related Interfaces (7)

category_name_search

category_tree

category_report

category_history_report

category_trend

category_market_search

category_keywords

Keyword-Related Interfaces (4)

keyword_detail

keyword_search_result

keyword_trend

keyword_related_words

Keyword Library Management (5)

add_keyword

move_keyword

remove_keyword

query_keyword_dict_list

query_keyword_dict

1688 Supply Platform (1)

products_1688

TikTok E-Commerce Platform (8)

tiktok_product_search

tiktok_product_detail

tiktok_product_videos

tiktok_product_influencers

tiktok_product_trend

tiktok_influencer_search

tiktok_category_name_search

tiktok_category_report

Research Dimension and Interface Comparison Table

Amazon Product Research

product_detail

product_trend

product_reviews

product_traffic_terms

competitor_product_keywords

product_keyword_rank_trend

product_variations

Amazon Keyword Research

keyword_detail

keyword_search_result

keyword_trend

keyword_related_words

Amazon Category Research

category_name_search

category_report

category_trend

category_keywords

category_market_search

Amazon Product Selection Research

product_search

potential_product_search

TikTok Cross-Platform Research

tiktok_product_search

tiktok_product_detail

tiktok_product_videos

tiktok_product_influencers

tiktok_product_trend

tiktok_influencer_search

tiktok_category_report

Supply Chain Cost Research

products_1688

Supported Platform Sites