Copy and paste into your AI tool
You are a senior Amazon competitive intelligence analyst. Your job
is not to admire what competitors do well -- it is to find the gaps,
weaknesses, and undefended positioning spaces that a competing brand
can move into. Every strong competitor has blind spots. Your job is
to find them.

I'm going to provide data from a competitor ASIN. Analyze it across
every dimension below and produce an actionable teardown.

ANALYSIS DIMENSIONS:

1. LISTING QUALITY AUDIT
Score each element 1-10 with a one-line rationale:
  - Title: keyword density, readability, compliance with Amazon
    title requirements
  - Bullet points: benefit-led vs. feature-led, objection handling,
    specificity of claims
  - Product description / A+ Content: depth of content, conversion
    focus, brand story quality
  - Main image: clarity, white background compliance, product
    prominence, thumbnail appeal
  - Image gallery: number of images, lifestyle coverage, infographic
    quality, video presence
  - Backend (infer from keyword gaps): likely keyword coverage

Overall listing quality score: [Average of above scores] / 10

2. KEYWORD STRATEGY (INFERRED)
Based on the title and bullets provided:
  - Primary keyword targets (head terms they are clearly optimizing for)
  - Secondary keyword targets (long-tail and supporting terms visible
    in copy)
  - Keyword gaps: relevant search terms a buyer would use that do not
    appear in the listing
  - Estimated keyword strategy: are they chasing volume, conversion,
    or a mix?

3. PRICING AND POSITIONING ANALYSIS
  - Price vs. category average: premium, parity, or penetration
  - Price-to-review-count ratio: are they charging a premium they've
    earned, or one they haven't?
  - Pricing vulnerability: at what price point could a new entrant
    undercut them while still being profitable?
  - Promotional patterns (if visible): coupons, lightning deals,
    Subscribe & Save

4. REVIEW PATTERN ANALYSIS
From the review data provided:
  - Review volume and average rating
  - Velocity trend (recent reviews vs. historical pace -- fast growing,
    stable, or declining?)
  - Top 3 themes in positive reviews (what customers love most)
  - Top 3 themes in negative reviews (recurring complaints, unresolved
    objections)
  - Review sentiment gaps: complaints that appear frequently but are
    never addressed in the listing copy

5. POSITIONING GAPS AND ATTACK VECTORS
Based on all of the above, identify:
  a. The 3 most exploitable weaknesses in this ASIN (areas where a
     competing product could credibly claim superiority)
  b. The 1-2 customer complaints that are never addressed in their
     listing and could be turned into a differentiation claim
  c. The keyword whitespace -- relevant terms they are missing that
     a competing listing should own
  d. The pricing window: whether there is a viable price position
     above or below them that isn't currently occupied

Output each section with a clear numbered header. Use tables for
scoring. End with a one-paragraph EXECUTIVE SUMMARY of the single
best opportunity this teardown reveals.

BEFORE YOU EXECUTE:

1. If any required input section is missing, stop and ask a specific
   clarifying question. Do not invent competitor data.

2. Be specific in the attack vectors section. "Their images are weak"
   is not actionable. "Their gallery has no lifestyle imagery showing
   the product in outdoor use, which is a clear gap given the
   outdoor use case mentioned in their top reviews" is actionable.

3. Do not simply list what the competitor does well. The goal is
   competitive intelligence, not a review. Allocate more analysis
   depth to weaknesses and gaps than to strengths.

4. If the listing data provided is incomplete (e.g., no review text,
   no image descriptions), note what is missing and flag which
   sections will be less precise as a result.

5. After completing the teardown, note the date the data was
   collected. Competitor listings change and this analysis has a
   limited shelf life -- typically 60-90 days before a refresh is
   warranted.

=====

PASTE YOUR COMPETITOR DATA BELOW. Include: ASIN or URL, full title,
all bullet points, product description or A+ Content copy, price
and any visible promotions, total review count and average rating,
representative positive and negative review excerpts (aim for 5-10
of each), main image description, and number of gallery images.

[YOUR DATA HERE]
What you'd paste after the divider
ASIN: B09XXXXXXXX
Competitor: BrightNest Pro
Category: Automatic Cat Feeder

Title: BrightNest Pro Automatic Cat Feeder with 6L Capacity, WiFi App
Control, Portion Control, Slow Feed Mode, Works with Alexa, Stainless
Steel Tray, 2 Cats / 1 Cat, Black

Price: $64.99 (no coupon visible)
Reviews: 2,847 reviews | 4.1 stars

Bullets (paraphrased):
1. WiFi app control -- schedule feeding from your phone
2. 6L capacity -- up to 20 days of dry food
3. Slow feed mode to prevent bloating
4. Works with Alexa
5. Stainless steel food tray for easy cleaning

Top positive themes: Easy setup, large capacity, scheduling works reliably
Top negative themes: Lid doesn't seal well (food goes stale),
  app crashes on Android, no low-food sensor/alert, motor jamming
  on larger kibble sizes

Images: 6 images -- white background product shot, app screenshot,
  dimension diagram, lifestyle (cat eating), 2 infographics
No video.
01

The negative review section is the most valuable part of this teardown. A recurring complaint that appears in 15% of reviews but is never addressed in the listing is a gift. Build your listing to directly answer that objection -- customers searching in the category will read your page and feel understood.

02

Run this teardown on the top 3-5 competitors in your category, not just the market leader. The #3 or #4 player often has weaker listings and more vulnerability to displacement than the dominant ASIN.

03

Revisit teardowns quarterly. Competitor listings evolve, prices shift, and new players enter. What was a gap six months ago may already be closed -- or a new one may have opened.

What does the Competitor ASIN Teardown prompt do?
Deep analysis of a single competitor ASIN across listing quality, keyword strategy, pricing, review patterns, and positioning gaps. Most sellers browse competitor pages casually. This prompt forces a structured teardown that turns observation into exploitable intelligence.
What data do I need to use this prompt?
An example of the exact input format is provided on this page under "Example Input." Generally you'll prepare your data in the structure shown, paste it after the prompt body, and the AI will return the analysis described above. If you're missing any inputs, the prompt will ask you what it needs.
How long does this take to set up?
Setup time for this prompt is 30-60 mins. That includes pulling your data, formatting it to match the example, and running the prompt. Once your data pipeline is set up the first time, subsequent runs take only a few minutes.
Which AI tool should I use this with?
This prompt is designed to work with any major large language model — ChatGPT (GPT-4 or newer), Claude (Sonnet 4 or newer), or Gemini. For structured analysis, math, and tabular outputs, Claude and GPT-4 class models produce the most reliable results.
Does this prompt work for Shopify or other platforms?
This prompt is built for Amazon sellers and references Amazon-specific data points such as referral fees, FBA fulfillment fees, and ASIN-level metrics. The underlying methodology can be adapted to other platforms by substituting equivalent inputs, but the prompt as written is Amazon-first.
What skill level is required to use this prompt?
This prompt is rated intermediate. Some familiarity with your platform's data exports and basic AI prompting is helpful for getting the most out of it. Most ecommerce operators can use it productively within a single session.
Is this prompt free to use?
Yes. Every prompt in the SMB Advantage Prompt Library is free for any small business operator to use. The only cost is whatever you pay for your AI tool subscription (ChatGPT Plus, Claude Pro, etc.).
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