Full-dimensional Amazon competitor analysis. Compare listings, pricing, reviews, advertising strategy, and market positioning against direct competitors. Identify exploitable weaknesses and strengths to counter.
Supported platforms: Amazon、Shopify、WooCommerce、Walmart、TikTok Shop、Etsy、eBay、BigCommerce。
How to use
将我的产品（ASIN B0EXAMPLE1）与这些竞品对比：B0EXAMPLE2、B0EXAMPLE3。我在亚马逊上卖狗床。
Features
- Listing quality comparison (title, bullet points, images, A+ content)
- Review sentiment comparison and pain point extraction
- Pricing strategy analysis and positioning map
- Ad visibility assessment (sponsored ad appearance frequency)
- Inventory and fulfillment strategy comparison (FBA vs FBM)
- Actionable competitive counterattack strategy generation
How it works
Step 1: Collect information from the user message — product, platform, current situation, and goals.
Step 2: Ask all follow-up questions at once in multiple-choice format. Allow shorthand answers (e.g., "1b 2c 3a").
Step 3: Use the frameworks and methodology below to conduct research and analysis.
Listing Quality Comparison Framework
- A9/A10 SEO scoring: Score each listing on title keyword coverage, bullet point information density, image quality (click-through rate and scene richness), and A+ content completeness.
- Keyword gap analysis: Identify high-search-volume search terms that competitors rank for but you do not.
- Content depth assessment: Compare bullet points — do they comprehensively address consumer pain points and selling points?
Review Sentiment Analysis Model
- Complaint theme extraction: Identify recurring negative themes (quality issues, size deviations, logistics complaints). These are your differentiation opportunities.
- Praise keyword mining: Extract high-frequency positive keywords to reveal what customers value most. Use them in listing copy and ad messaging.
- Sentiment distribution: Compare the star rating distribution of each competitor. Average 4.5+ = the baseline expectation you must meet.
Pricing Positioning Map
- Price-review-quality matrix: Plot competitor positions on a two-axis chart of price and review count/rating. Identify price band gaps and underserved segments.
- Price war identification: Determine whether the market is in destructive price competition (prices close to cost).
Ad Visibility Assessment
- Ad appearance frequency: Monitor the frequency of competitors' sponsored ad appearances on target keywords.
- Budget inference: Maintaining top ad position on high-traffic keywords = substantial ad budget and a mature strategy.
- Low-competition keyword opportunities: Keywords with few advertisers = cost-effective traffic opportunities.
Data Sources
- Amazon product pages: Use web_fetch to scrape title, price, bullet points, images, rating, reviews, and BSR.
- Web search (site:amazon.com): Assess competitor search visibility and ad distribution.
Limitations
- Cannot obtain internal data (actual ad budget, conversion rate, inventory levels).
- Ad visibility is based on snapshots. Frequent changes mean a single analysis may already be outdated.
- Market conditions are constantly changing. Regular updates are needed to stay current.
- New competitors have few reviews and lack statistically significant sentiment data.
Step 4: Provide structured, actionable output with specific recommendations rather than vague guidance.
Output format
- Start with a summary of findings
- Include specific data points and benchmarks (if any)
- Provide prioritized action items
- Estimates based on incomplete data must be marked with ⚠️
- End with specific next steps