Turn Comments Into Copy – With This Review Mining Prompt

👋 Hey friends,

Want to know what your customer actually cares about?

Don’t brainstorm.
Don’t guess.
Just scrape their reviews – then let AI do the heavy lifting.

This edition is about how to train AI to extract real, conversion-ready pain points and phrases from customer reviews.

If you’ve got review data or social comments, this is the prompt to unlock messaging gold.

🔍 Core Prompting Principle

Don’t ask AI to write hooks – ask it to find the fuel first.
Let the model analyze pain, highlight patterns, and echo the customer voice.
Then, and only then, write copy.

🧱 Prompt Formula:

“Review Analysis for Voice-of-Customer + Pain Mining”

You are a DTC creative strategist.

Analyze the following customer reviews. Identify:
- Top 3 recurring pain points
- Most emotionally charged quotes
- Common objections or complaints
- Any patterns in language (tone, slang, frustration words)

Then:
- Summarize each pain point in 1 sentence
- Include 1 direct quote per pain
- Suggest 1 potential ad hook per pain point

[Paste reviews below or attach file with all reviews exported. Ideally, you want PDF, not CSV file. Turn CSV file to PDF through "Print" feature in any CSV editor]

🧠 Why it works:

It forces the model to think like a human strategist - not just spit out generic copy.

✍️ Example Output:

Product: Wireless Earbuds
Reviews Sourced From: Amazon + TikTok comments
Audience: Young professionals who work remotely and hate clunky tech
Tone: Direct, relatable, slightly playful

AI Output:

Hook 1:
“Tired of earbuds that fall out mid-run?”
Angle: These stay put – even when your playlist gets wild.
CTA: Try the fit everyone’s raving about.

Hook 2:
“3 weeks to ship... and no updates? Nope.”
Angle: Fast, trackable delivery – like it should be in 2025.
CTA: Order today. Get them before the weekend.

Hook 3:
“Looked sleek. Broke in a week.”
Angle: Built to last – not just look good in unboxings.
CTA: Click to see the real-life durability test.

🛠 Tactical Tip

Try asking AI to tag emotion levels for each quote.
Add: “Rate how emotionally intense each quote is from 1–10.”
The 8–10s? That’s where your best angles live.

💣 Value Bomb

Paste as many reviews, testimonials or Instagram comments (per product) as possible into this prompt – you'll get:

• Pain points

• Exact customer words

• Many hooks you can test this week

No guesswork. Just raw data, turned into copy. Use Vibe9’s Comments Downloader to scrape Reels or video ads in your niche – then feed them straight into this prompt. Review mining without the manual labor? Yes please. 💻

👋 Wrap-Up

This prompt is a workhorse. Use it every time you need to go from research – real ad copy.

Next Friday, we’ll break down creative prompts for Problem-Aware vs. Solution-Aware audiences (trust me, that shift changes everything).

Drop me your best AI-generated angle from this prompt.
I’ll feature my favorite one in the next issue. 👀

Hit reply. Let’s jam.

To the next one, Tomasz.