Copy and paste into your AI tool
You are a senior Amazon competitive intelligence analyst. You know that
a competitor's negative reviews are the most honest, free market
research a seller can access. Unhappy customers describe, in precise
language, the exact gap between what was promised and what was
delivered. Your job is to read those gaps as opportunities — and help
me position my product to fill them.

I'm going to give you a set of negative reviews from one or more
competitor products. Analyze them using the framework below.

STEP 1: CLASSIFY EACH COMPLAINT

Read every review I provide. For each distinct complaint (not each
review — one review may contain multiple complaints), classify it as:

TYPE A — PRODUCT FLAW: The physical product fails in a specific way.
(Examples: durability, smell, size accuracy, material quality,
fit/function)

TYPE B — LISTING DECEPTION: The product doesn't match what the
listing implied. (Examples: size smaller than pictured, color
different, missing feature shown in images)

TYPE C — PACKAGING/UNBOXING FAILURE: Arrived damaged, poorly packaged,
missing components, inadequate protection. 

TYPE D — CUSTOMER EXPERIENCE FAILURE: Slow shipping, unresponsive
seller, return process nightmare, no instructions included.

TYPE E — CATEGORY EXPECTATION MISMATCH: Complaint that reflects an
unrealistic buyer expectation — not a real product failure. (These
are NOT actionable as differentiation opportunities.)

STEP 2: BUILD A COMPLAINT FREQUENCY TABLE

Group complaints of the same type and theme together. For each
complaint cluster, report:
- Complaint cluster name (plain language, specific)
- Type (A/B/C/D/E)
- Number of reviews mentioning this complaint
- Best representative quote (verbatim, under 25 words)
- Actionability score: HIGH (you can directly address this),
  MEDIUM (partial fix possible), LOW (structural to the product/
  category)

Sort by frequency descending within each type.

STEP 3: GAP-TO-DIFFERENTIATOR MAP

For every Type A, B, C, and D complaint cluster with HIGH or MEDIUM
actionability, build a one-row entry with:
- Competitor Weakness: [What they fail at]
- Your Differentiator Claim: [How you position against it — one
  specific, credible claim, not a vague boast]
- Where to Use It: [Title / Bullet point X / Image / A+ content /
  Review response / Packaging insert]

STEP 4: POSITIONING PRIORITY RANKING

Rank your top 5 differentiator claims in order of expected impact.
For each, write one sentence explaining why this gap matters to buyers
and is worth exploiting.

Output format: Use headers for each step. Use a table for the
Complaint Frequency Table and Gap-to-Differentiator Map.

BEFORE YOU EXECUTE:

1. Only classify complaints based on review language I provide.
   Do not infer complaints not present in the text.

2. Do not let me cherry-pick. If the same complaint appears in your
   product's reviews too (if I've provided them), flag it as a
   SHARED WEAKNESS, not a differentiator opportunity.

3. If the same complaint appears in multiple competitor products,
   note it as a CATEGORY-LEVEL WEAKNESS — this is a higher-priority
   opportunity because buyers have been trained to expect this problem.

4. If I haven't told you what my product does well (my strengths),
   ask — the differentiator claims need to be ones I can actually
   substantiate, not ones I aspire to.

5. After completing the analysis, note under "Caveats" any complaint
   that was difficult to classify or that might reflect bias in the
   review sample.

=====

PASTE YOUR DATA BELOW. Include: competitor product name and ASIN for
each product you want analyzed, and paste the 1-3 star review text
(star rating + title + body). If you have your own product's reviews
available, include them labeled clearly so I can flag shared weaknesses.
Also describe your product's key strengths in 3-5 bullet points.

[YOUR DATA HERE]
What you'd paste after the divider
MY PRODUCT STRENGTHS:
- Double-stitched seams on all stress points
- Includes foam inserts in packaging to prevent transit damage
- Size chart with exact measurements in listing images
- Silicone grip strip on waistband (no rolling)

COMPETITOR 1: "QuickFlex Athletic Shorts" — ASIN B07XXXXXX

⭐⭐ "Seams split after 3 wears"
Bought two pairs and both had seam failures at the inner thigh within
a month. Clearly not made for actual exercise.

⭐ "Much smaller than shown"
The model in the photos looks like a large but these run tiny. I
ordered a large and they fit like a medium. No real size chart.

⭐⭐ "Waistband rolls constantly"
Every time I run the waistband folds over. Annoying and looks awful.
Returned them.

COMPETITOR 2: "ProMove Training Shorts" — ASIN B08YYYYYY

⭐⭐ "Arrived in a torn bag, no insert"
Came in a polybag that was half open and the shorts were wrinkled and
snagged. Not a great first impression.

⭐ "Waistband rolls"
Same problem I've seen in every cheap pair — the waistband won't stay
up when you're moving fast.
01

Focus on your top 3-5 competitors by review count, not just BSR. High review counts mean larger sample sizes and more reliable complaint patterns. A product with 2,000+ reviews will show you real, recurring failure modes.

02

The complaints that appear across multiple competitors are your highest-value opportunities. If three different brands all have "waistband rolls" complaints, and yours doesn't, that one claim alone can carry significant conversion weight in your listing bullets.

03

Turn this analysis into a listing brief, not just a positioning doc. Each differentiator claim you identify should map to a specific place in your listing — title, bullet 1-5, image callout, or A+ module. Vague competitive awareness doesn't lift conversion; specific, substantiated claims do.

What does the Competitor Review Gap Finder prompt do?
Systematically analyze competitor negative reviews to identify the specific product and listing failures your brand can exploit. Turns competitor 1-3 star reviews into a ranked list of differentiators — so you know exactly what to emphasize in your listing, packaging, and product to steal share.
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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