Competitor Analyzer v1.0.0IMPORTANT — Working Directory: All scripts in this skill MUST be executed with the working directory set to the absolute path of the directory containing this SKILL.md file (the skill root directory). Always
cdinto this directory before running any command. Do NOT use relative paths or shell shortcuts like~in paths, as they may not be resolved by the execution environment.
Product Understanding Step
Before running this skill, if the user provides a product, image, ASIN, listing, product ID, or product idea, first identify:
- product type/category
- main use case
- key physical, design, or functional features
- target marketplace, country, or platform
- user's analysis goal
Use this product understanding to choose parameters, filters, competitors, regions, keywords, or analysis dimensions before executing the script.
Who are the competitors? How do they compare?
Analyze competitive landscape for Amazon products. Compare competitors on price, reviews, BSR stability, sales momentum, seller count, and API-reported traffic distribution.
Core Question
— Who are the competitors and how do they perform?
When to Use
- Entering a new market and need to understand competition
- Analyzing why certain products outperform others
- Finding gaps in competitor offerings
- Understanding API-reported traffic distribution (organic vs sponsored)
- Comparing competitor price, review, BSR, sales, and seller-count signals
Differs From / Not Applicable
- Use competitor-listing-analyzer for title, bullets, images, A+ content, and listing quality.
- Use this skill for business performance metrics such as price, reviews, BSR, sales, traffic, and seller count.
- Do not use for keyword placement, review mining, or product validation.
Data Sources
| Source | Endpoint | Data |
|---|---|---|
| Amazon Search | /api/v1/tools/research/amazon/search |
Product list, prices, reviews, BSR |
| Keepa | /api/v1/tools/research/keepa/productRequest |
Product details, monthly sales, seller count |
| Keepa | /api/v1/tools/research/keepa/productSeries |
BSR history, price history (180-day) |
Analysis Dimensions
| Dimension | Description |
|---|---|
| Market Overview | Price range, sweet spot, review barrier |
| Competitive Matrix | Side-by-side comparison of all competitors |
| Traffic Distribution | Organic vs Sponsored positioning when reported by API data |
| Sales & Stability | Monthly sales, seller count, BSR trend, price history |
| Gap Analysis | Price gaps, feature gaps |
| Entry Matrix | Quadrant: Traffic × Competitive strength |
⚠️ MANDATORY: Charts & Display Rules
- Generate charts by default for full analytical reports — use
--chartwith an output directory unless the user asks for a quick text-only result or chart data is unavailable. - Send generated charts to the user — when charts are created, share all chart PNGs immediately.
- All chart styling is driven by
ecommerce_chart_helpers.pywhich reads fromchart_style.json(derived fromreferences/display-rules.md). Do NOT hardcode colors in scripts.
Usage
# Analyze competitors for a specific ASIN
python3 scripts/competitor_analyzer.py '{"asin": "B0XXXXXXXXX"}'
# Analyze top sellers for a keyword
python3 scripts/competitor_analyzer.py '{"keyword": "dog water fountain"}'
# Compare specific ASINs directly
python3 scripts/competitor_analyzer.py '{"asins": ["B0XXX", "B0YYY"]}'
# Generate visual report
python3 scripts/competitor_analyzer.py '{"keyword": "dog water fountain"}' --report
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
asin |
string | - | Target ASIN to find competitors for |
keyword |
string | - | Search keyword to analyze market |
asins |
array | - | List of ASINs to compare directly |
marketplace |
string | Amazon marketplace | |
limit |
int | 10 | Number of competitors to analyze |
Flags
| Flag | Description |
|---|---|
--report |
Generate visual charts |
--chart <dir> |
Generate chart PNG files in the specified directory |
Output Structure
The output will be a structured markdown report, following this format:
[Product/Keyword] Competitor Analysis Report
1. Executive Summary
- Analysis Object: [keyword or target_asin]
- Analysis Market: [market]
- Analysis Date: [analyzed_at]
- Core Insight: [Summary extracted from gap_analysis and entry_matrix.recommendation]
2. Market Overview
- Price Analysis:
- Minimum Price: [price_analysis.min]
- Maximum Price: [price_analysis.max]
- Average Price: [price_analysis.avg]
- Median Price: [price_analysis.median]
- Price Sweet Spot: [price_analysis.sweet_spot]
- Review Analysis:
- Top 3 Average Reviews: [review_analysis.top3_avg]
- Top 10 Average Reviews: [review_analysis.top10_avg]
- Minimum Reviews: [review_analysis.min]
- Maximum Reviews: [review_analysis.max]
- Review Barrier Level: [review_analysis.barrier_level]
- Review Barrier Assessment: [review_analysis.assessment]
- Traffic Distribution:
- Organic Traffic Products: [traffic_analysis.organic_count]
- Sponsored Traffic Products: [traffic_analysis.sponsored_count]
- Organic Traffic Percentage: [traffic_analysis.organic_pct]%
- Sponsored Traffic Percentage: [traffic_analysis.sponsored_pct]%
- Traffic Type: [traffic_analysis.traffic_type]
3. Competitor Details
- Overview of Major Competitors:
| ASIN | Product Name | Price | Reviews | Rating | BSR | Monthly Sales | Trend | Sponsored |
|---|---|---|---|---|---|---|---|---|
| [competitors[i].asin] | [competitors[i].title] | [competitors[i].price] | [competitors[i].reviews] | [competitors[i].rating] | [competitors[i].bsr] | [competitors[i].monthly_sales] | [competitors[i].trend[0]] ([competitors[i].trend[1]]%) | [competitors[i].sponsored] |
| ... | ... | ... | ... | ... | ... | ... | ... | ... |
| (Showing all or top N competitors) |
4. Market Gaps Analysis (Gap Analysis)
- Identified Market Gaps:
- [gap_analysis[0].type]: [gap_analysis[0].detail]
- (Listing all identified gaps)
5. Market Entry Matrix
- Quadrant: [entry_matrix.quadrant]
- Traffic Score: [entry_matrix.traffic_score]
- Competitive Strength Score: [entry_matrix.competitive_strength_score]
- Entry Recommendation: [entry_matrix.recommendation]
6. Attached Visualizations
- Competitive Positioning (competitive_positioning.png)
- Price Distribution (price_distribution.png)
- Market Entry Matrix (entry_matrix.png)
Charts Generated
| Chart | Description | File |
|---|---|---|
| Competitive Positioning | Price vs Reviews scatter | competitive_positioning.png |
| Price Distribution | Price bracket bar chart | price_distribution.png |
| Market Entry Matrix | Traffic × Competitive strength quadrant | entry_matrix.png |
Traffic Distribution Types
| Type | Signal | Entry Strategy |
|---|---|---|
| ORGANIC_DRIVEN | >70% organic | SEO-focused entry possible |
| BALANCED | 40-70% organic | Mix of SEO + PPC |
| AD_HEAVY | <40% organic | Requires significant ad budget |
Competitive Strength Scoring
| Signal | Meaning |
|---|---|
| Review barrier | Higher top-competitor review counts increase entry difficulty |
| Monthly sales | Higher average competitor sales indicate stronger incumbents |
| Seller count | More sellers can indicate heavier price pressure |
Workflow Integration
📊 Competition Phase
├── market-share-analyzer → Analyze brand concentration
├── competitor-analyzer → Analyze competitors ← YOU ARE HERE
└── review-checker → Check review barriers
Environment Variables
| Variable | Required | Description |
|---|---|---|
NEXSCOPE_API_KEY |
Yes | NexScope proxy API key |
NEXSCOPE_PROXY_BASE |
Yes | NexScope proxy base URL |
Limitations
- Listing quality audit is limited to API-available fields
- BSR history limited to Keepa data availability
- Sponsored detection may miss some edge cases
- Category cleaner applied (may affect results)
References
references/display-rules.md— Chart styling guidelinesshared/category_cleaner.py— Product filtering module
Multi-Batch Usage
When analyzing more items than you want to run in a single invocation, keep charts and reports aligned by saving each batch as raw JSON and then generating one merged result.
Step 1: run each batch with --output to save intermediate JSON.
python3 scripts/competitor_analyzer.py '{"keyword": "example"}' --output /tmp/batch1.json
python3 scripts/competitor_analyzer.py '{"keyword": "example 2"}' --output /tmp/batch2.json
Step 2: merge every batch JSON and generate the final unified chart.
python3 scripts/competitor_analyzer.py --merge /tmp/batch1.json /tmp/batch2.json --sort score --chart /tmp/final-charts
Use the merged JSON output and /tmp/final-charts/merged_ranking.png for the final report. Do not present per-batch charts as final charts when the text report has been globally re-ranked.