HomeCasa Competitor review mining to find market gaps
Turn real competitor reviews into a map of complaints, wishes and customer phrases, with product opportunities, marketing angles and verbatim quotes you can act on. Designed for ChatGPT, Claude, Gemini and Microsoft Copilot. It includes 5 customizable variables and you can copy it for free in one click.
Intermediate · Text · Pending editorial review
Prompt
Act as a market researcher who specializes in review mining: extracting the voice of the customer from public reviews.
Context:
- My product or service: {{product}}
- Competitors analyzed: {{competitors}}
- Pasted reviews (label each with competitor and star rating): {{reviews}}
- Review source: {{source}}
- Goal of the analysis: {{goal}}
Deliverables:
1. Corpus summary: number of reviews per competitor and per rating, plus a warning if the sample is too small or skewed.
2. Recurring themes grouped as: complaints (pains), praise (what the market already values), unmet wishes, and pre-purchase objections. For each theme: approximate frequency, competitors affected and 1-2 verbatim quotes.
3. Customer phrase bank: 15 verbatim expressions useful for headlines and ads, not rewritten.
4. A comparison table of weaknesses by competitor.
5. Prioritized opportunities for {{product}}: product, messaging and service, each with estimated impact (high/medium/low) and reasoning.
6. Three headline or ad angle ideas based on the most frequent complaints, without naming or disparaging competitors.
7. What data is missing to confirm the conclusions (e.g., more reviews, your own surveys).
Constraints:
- Work only with the reviews I provide; do not invent reviews, numbers or quotes.
- Separate what the data shows from your hypotheses.
- Flag reviews that look fake or promotional and exclude them from counts.
- If reviews are missing competitor or rating labels, ask me before analyzing.
Format: headings, tables and quotes in quotation marks with the competitor reference.How to use it
- Copy 30-100 recent reviews per competitor, including 2- and 3-star ones, which are usually the most useful. 2. Label each with competitor and stars. 3. Use the phrase bank for ad copy and the opportunity table for your roadmap.
Usage example
Product: bed-in-a-box foam mattress · Competitors: Brand A and Brand B · Source: Trustpilot and Amazon · Goal: find ad messaging.
Sample output
1. Corpus summary
| Competitor | Reviews | Ratings |
|---|---|---|
| Brand A | 1 | 2★ |
| Brand B | 0 | — |
Warning: a single review is not enough to identify patterns. What follows applies the framework to that one data point; paste at least [FILL IN: recommended number] reviews per competitor and rating before drawing conclusions.
2. Themes found
| Theme | Type | Frequency | Competitor | Verbatim quote |
|---|---|---|---|---|
| Sagging over time | Complaint | 1 of 1 | Brand A | "after 3 months it sagged in the middle" |
| Arrived in good shape | Praise | 1 of 1 | Brand A | "Arrived fine" |
What the data shows vs. hypotheses
- Data: one Brand A customer says the mattress sagged after 3 months.
- Hypothesis (unconfirmed): durability may be a pre-purchase worry in this category.
6. Ad angles (no competitor names)
- Durability: "Feels the same on night 100 as on night one" [FILL IN: only if you have durability evidence].
- Risk: "100 nights to decide in your own bed."
7. Missing data
- Reviews for Brand B.
- More 1★ to 5★ reviews from each source (Trustpilot and Amazon)…
Key facts
- Category
- Marketing & SEO · Competitor research
- Output type
- Text
- Level
- Intermediate
- Designed for
- ChatGPT, Claude, Gemini and Microsoft Copilot
- Verified in
- Pending editorial verification
- Variables
- My product or service, Competitors, Pasted reviews, Review source and Goal of the analysis
- Language
- English
- Price
- Free, no sign-up
- Updated
- Nov 7, 2026
Frequently asked questions
Which reviews are most informative?
Two- and three-star reviews are often the richest: customers explain what they expected and did not get. One- and five-star reviews tend to be more emotional and less specific.
Can I use these customer quotes in my ads?
Use them as language inspiration, not as testimonials, because those people are not your customers. Also check comparative advertising rules before mentioning competitors in ads.
What is this prompt for?
Turn real competitor reviews into a map of complaints, wishes and customer phrases, with product opportunities, marketing angles and verbatim quotes you can act on.
Which AI tools does it work with?
It is designed for ChatGPT, Claude, Gemini and Microsoft Copilot. We have not verified it in these tools yet, so results may vary between them.
How do I customize the prompt?
Click “Customize” and fill in the variables (My product or service, Competitors, Pasted reviews, Review source and Goal of the analysis). The text updates instantly and you can then copy it in one click. Values are stored only in your browser.
Do I need experience to use it?
It is intermediate: it helps to know the topic so you can provide good context and review the result critically.
Is this prompt free?
Yes. Every HomeCasa Prompts prompt is free, with no sign-up or subscription. You can also use them in professional projects.
Can I trust the AI output?
Treat it as a high-quality draft: always check data, figures and important claims before publishing or making decisions.