Online reviews used to feel like the safe part of shopping.

You found the product.
You checked the stars.
You skimmed the comments.
You decided whether it was worth it.

But now? Reviews are harder to trust.

Some are real. Some are vague. Some are incentivized. Some sound like they were copied from the same template. And with AI-generated content getting easier to produce, it is becoming harder to know what is actually useful and what is just noise.

This week’s prompt helps you use AI as your review decoder before you buy.

» Forward this to someone who is one click away from buying something they are not fully sure about.

TL;DR

Before you buy a product online, use AI to summarize the reviews, find repeated patterns, flag suspicious claims, and match the product to your actual needs.

The goal is not to let AI make the purchase for you.

The goal is to use AI as a second set of eyes.

Retailers are already using AI to help shoppers move faster. Lowe’s says customers using its MyLow AI shopping assistant convert at three times the rate of non-users, and that the tool handles more than 1 million customer inquiries per month.

So here is the human-first takeaway:

Retailers are using AI to help you buy. You can use AI to help you decide.

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The certification is valid for state and local government employees through August 31, 2026.

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Think about the last time you read product reviews.

You probably saw a mix of comments like:

“This is amazing.”
“Broke after two weeks.”
“Exactly what I needed.”
“Not worth the price.”
“Great quality.”
“Terrible customer service.”

That is a lot of opinion, but not always a lot of clarity.

AI can help you turn scattered reviews into a decision-ready summary. Instead of reading 40 comments and trying to remember what matters, you can ask AI to look for patterns:

What do people praise again and again?
What complaints show up repeatedly?
Are the negative reviews about deal-breakers or personal preferences?
Does this product fit your needs, or just look good online?

The most important part is context. AI needs to know what you care about.

A parent buying a car seat has different concerns than someone buying a phone case. A renter buying furniture has different needs than a homeowner.

Use AI to slow the decision down just enough to make it smarter.

Copy, paste, and customize this before your next online purchase.

D – Doing: I am deciding whether to buy a product and want help decoding the reviews before I make a purchase.

I – Information: Here is the product I am considering:

Product name: [Insert product name]
Product link: [Insert link]
Price: [Insert price]
Main features: [Insert main features]

Here are reviews or review summaries I found:

[Paste 5–10 reviews. Include positive, neutral, and negative reviews if possible.]

My priorities are:

[Insert what matters most: budget, durability, ease of use, size, safety, quality, return policy, gifting, etc.]

R – Role/Persona: Act as a practical shopping advisor and review analyst. Focus on trust, usefulness, and fit. Do not hype the product.

E – End Goal/Result: Help me decide whether this product is worth buying. Identify common patterns, red flags, and whether I should buy, wait, compare, or skip.

C – Context: I do not want to be swayed by fake reviews, influencer hype, generic praise, or one-off complaints. I want to understand what the reviews actually reveal.

T – Tone/Style/Format: Keep it practical and easy to scan. Format your answer as:

Quick Verdict
Best Fit For
Common Praise
Common Complaints
Possible Red Flags
Questions to Check Before Buying
Buy / Wait / Compare / Skip Recommendation

Lowe’s has launched MyLow, an AI-powered shopping assistant that answers customer questions and supports product discovery. According to the company, customers using MyLow online convert at three times the rate of customers who do not use it. The tool also handles more than 1 million customer inquiries per month.

» Read More

Know someone who reads every review before buying anything?

Send them this issue.

It gives them a simple way to turn product reviews into a clearer decision without falling for hype, fake praise, or one dramatic complaint.

→ Help someone shop smarter this week.

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