SuperAPI AI Directory

ecommerce.competitor-listing-analyzer

Marketing & growth

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Updated 10-16 01:36

About this skill

📖 Analysis Philosophy:

IMPORTANT — 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 cd into 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.

Competitor Listing Analyzer

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.

Core Question

**** — How do competitors write their listings?

When to Use

  • User asks "how does competitor write their listing"
  • User wants to analyze a specific ASIN's listing
  • User asks for "listing structure breakdown"
  • User wants to reverse-engineer successful listings
  • User asks "what can I learn from this listing"

Differs From / Not Applicable

  • Use competitor-analyzer for price, reviews, BSR, traffic, sales, and business-performance comparisons.
  • Use this skill for listing structure and creative/content audits.
  • Do not use for market-level analysis, product validation, or review sentiment monitoring.

Data Sources

Source Endpoint Purpose
Amazon /api/v1/tools/research/amazon/product/detail Full listing content extraction
Amazon /api/v1/tools/research/amazon/search Find top competitors by keyword

Parameters

Parameter Type Required Default Description
asin string Yes* - Target ASIN to analyze
asins list Yes* - Multiple ASINs to compare
keyword string Yes* - Find top competitors for keyword
marketplace string No Target marketplace
depth string No "standard" Analysis depth: quick/standard/deep

*One of asin, asins, or keyword required

Output Structure

The output will be a structured markdown report, following this format:

[Product/Keyword] Competitor Listing Analysis Report


1. Executive Summary

  • Analysis Object: [Display asin, asins, or keyword based on input parameters]
  • Analysis Depth: [depth]
  • Core Insight: [Summary extracted from overall_score, strengths, weaknesses, and recommendations fields]

2. Overall Analysis & Comparison

  • Listing Score Comparison (for each analyzed ASIN):
ASIN Overall Score Title Score Bullet Score Strengths Weaknesses
[analyzed_listings[i].asin] [analyzed_listings[i].overall_score] [analyzed_listings[i].title_analysis.title_score] [analyzed_listings[i].bullet_analysis.bullet_score] [analyzed_listings[i].strengths] [analyzed_listings[i].weaknesses]
... ... ... ... ... ...
(If multiple ASINs are analyzed, comparison data for all ASINs will be listed here.)
  • General Recommendations:
    • [First recommendation from recommendations]
    • [Second recommendation from recommendations]
    • ...

3. Detailed Listing Structure Analysis (Detailed analysis for each analyzed ASIN)

Target ASIN: [analyzed_listings[i].asin]

  • 3.1 Title Analysis

    • Title: [analyzed_listings[i].title_analysis.title]
    • Character Count: [analyzed_listings[i].title_analysis.char_count]
    • Structure Pattern: [analyzed_listings[i].title_analysis.structure]
    • Detected Keywords: [analyzed_listings[i].title_analysis.keywords_detected]
    • Title Score: [analyzed_listings[i].title_analysis.title_score]
  • 3.2 Bullet Points Analysis

    • Bullet Count: [analyzed_listings[i].bullet_analysis.bullet_count]
    • Bullet Pattern: [analyzed_listings[i].bullet_analysis.pattern]
    • Bullet Score: [analyzed_listings[i].bullet_analysis.bullet_score]
    • Bullet Details (Example, showing up to 3 bullets):
        • [analyzed_listings[i].bullet_analysis.bullets[0].text] (Keywords: [analyzed_listings[i].bullet_analysis.bullets[0].keywords])
        • [analyzed_listings[i].bullet_analysis.bullets[1].text] (Keywords: [analyzed_listings[i].bullet_analysis.bullets[1].keywords])
        • [analyzed_listings[i].bullet_analysis.bullets[2].text] (Keywords: [analyzed_listings[i].bullet_analysis.bullets[2].keywords])
  • 3.3 Description Analysis

    • Has Description: [analyzed_listings[i].description_analysis.has_description]
    • Has A+ Content: [analyzed_listings[i].description_analysis.has_aplus]
    • Word Count: [analyzed_listings[i].description_analysis.word_count]
    • Structure Pattern: [analyzed_listings[i].description_analysis.structure]
  • 3.4 Image Analysis

    • Main Image Count: [analyzed_listings[i].image_analysis.main_image_count]
    • Has Video: [analyzed_listings[i].image_analysis.has_video]
    • Infographic Count: [analyzed_listings[i].image_analysis.infographic_count]
    • Lifestyle Image Count: [analyzed_listings[i].image_analysis.lifestyle_count]

4. Attached Visualizations

  • Listing Score Comparison
  • Title Structure Breakdown
  • Bullet Pattern Analysis
  • Image Strategy Matrix

Analysis Dimensions

Title Analysis

  • Character count & mobile truncation check
  • Structure pattern detection
  • Keyword extraction
  • Brand positioning

Bullet Points Analysis

  • Count and length
  • Feature-Benefit pattern detection
  • Keyword density
  • Emoji/formatting usage
  • Unique selling points

Description Analysis

  • Plain text vs A+ Content
  • Structure breakdown
  • Keyword usage
  • Call-to-action presence

Image Analysis

  • Image count
  • Video presence
  • Infographic detection
  • Lifestyle vs product shots

⚠️ MANDATORY: Charts & Display Rules

  1. Generate charts by default for full analytical reports — use --chart with an output directory unless the user asks for a quick text-only result or chart data is unavailable.
  2. Send generated charts to the user — when charts are created, share all chart PNGs immediately.
  3. All chart styling is driven by ecommerce_chart_helpers.py which reads from chart_style.json (derived from references/display-rules.md). Do NOT hardcode colors in scripts.

Usage

# Single ASIN analysis
python3 scripts/competitor_listing_analyzer.py '{"asin": "B07RL88DD2"}'

# Compare multiple ASINs
python3 scripts/competitor_listing_analyzer.py '{"asins": ["B07RL88DD2", "B08EXAMPLE"]}'

# Find and analyze top competitors for keyword
python3 scripts/competitor_listing_analyzer.py '{"keyword": "yoga mat", "depth": "deep"}'

# Generate comparison charts
python3 scripts/competitor_listing_analyzer.py '{"keyword": "yoga mat"}' --chart /tmp/charts

Charts Generated

  1. Listing Score Comparison — Overall scores across competitors
  2. Title Structure Breakdown — How competitors structure titles
  3. Bullet Pattern Analysis — Feature types and patterns
  4. Image Strategy Matrix — Image types used

Workflow

┌─────────────────────────────────────────────────────────────┐
│ 1. INPUT: ASIN(s) or keyword │
│ 2. EXTRACT: Fetch full listing content from Amazon │
│ 3. PARSE: Break down title, bullets, description │
│ 4. ANALYZE: Score each component, detect patterns │
│ 5. COMPARE: Cross-competitor analysis │
│ 6. RECOMMEND: Actionable improvements │
└─────────────────────────────────────────────────────────────┘

Insights Generated

  • 🎯 Title structure patterns
  • 📝 Bullet writing formulas
  • 🖼️ Image strategy insights
  • ⭐ What top sellers do differently
  • 🚫 Common mistakes to avoid

Limitations

  • A+ Content extraction may be limited
  • Some enhanced content may be unavailable through API data
  • Brand Registry features not always visible
  • Video content analysis is basic
  • Non-US marketplaces may have different patterns

Environment Variables

Variable Required Description
NEXSCOPE_PROXY_BASE Yes NexScope proxy base URL
NEXSCOPE_API_KEY Yes NexScope proxy API key

References

  • references/listing-best-practices.md — Amazon listing guidelines
  • references/display-rules.md — Output formatting rules