Guides · Updated 2026-10-14

AI Prompts for Customer Reviews: Ask, Reply and Learn (20 Copy-Paste Prompts)

Reviews drive local search rankings and customer trust, and they're increasingly what AI assistants quote when someone asks "who's a good [business] near me?" These prompts work in ChatGPT, Gemini, Copilot or Claude. Replace the [brackets] with your details.

Short answer: use AI to (1) write a short, well-timed review request, (2) draft personal replies to every review, positive and negative, and (3) summarise reviews into themes you can act on. Never use AI to write fake reviews or to pay for reviews. It's against platform rules and illegal in many countries.

Asking for reviews

1. The post-purchase ask

Write a short text asking [first name] for a Google review after their [service/purchase] today. Warm, personal, one sentence of thanks, the link [link]. Max 40 words.

2. Email version

Write a review request email for customers 3 days after [service]. Subject line plus 80 words. Make it easy: one link, say it takes 1 minute, and thank them either way.

3. In-person script

Give me a natural 2-sentence way for my staff to ask happy customers for a review at the till or end of a job, without sounding pushy.

4. QR card copy

Write the text for a small table or counter card with a QR code asking for a Google review. Max 15 words, friendly.

5. Ask after a fixed problem

A customer had a problem that we resolved: [summary]. Write a message checking they're happy now, and only if so, inviting a review. Max 60 words.

Replying to positive reviews

6.

Reply to this 5-star review. Use their first name, mention the specific detail they praised, keep it under 50 words, no generic "thanks for your feedback". Review: [paste]

7.

Write 5 different short replies to brief 5-star reviews with no text, so our replies don't all look the same.

8.

Reply to this positive review and naturally mention [related service] without being salesy. Max 60 words. Review: [paste]

Replying to negative reviews

9. Calm and accountable

Draft a reply to this negative review. Acknowledge the issue, apologise once without making excuses, say what we're changing, and invite them to contact [name/email] to put it right. No arguing, no customer details. Max 80 words. Review: [paste]

10. When the review is unfair

This review contains claims I believe are inaccurate: [explain]. Write a calm, factual public reply that corrects the record politely without attacking the reviewer. Max 80 words.

11. Suspected fake review

Write a neutral reply to a review from someone we can't find in our records, saying we can't find their visit and inviting them to contact us. Max 50 words.

Report suspected fake reviews through the platform's own reporting tool rather than arguing in public.

12. Privacy-safe reply (healthcare, legal, finance)

Draft a reply that doesn't confirm the reviewer was a client or reveal any details, thanks them and invites them to contact [contact]. Max 50 words.

13. Tone check

Read my draft reply and tell me if it sounds defensive, sarcastic or passive-aggressive. Rewrite it to sound calm and professional: [draft]

Learning from reviews

14.

Here are our last 30 reviews [paste, no names]. Group them into themes, with counts, and list the top 3 things customers love and the top 3 complaints.

15.

From these reviews, write 5 FAQ entries for our website that answer the doubts customers mention.

16.

Find phrases customers use to describe us in these reviews. Suggest how to use that language on our homepage.

17.

Compare these reviews of our business with these reviews of a competitor [paste both]. Where do we win and lose?

18.

Turn these 3 detailed positive reviews into a short testimonial section for our website, quoting them exactly (no edits to their words).

19.

Draft a short note to my team summarising this month's reviews: wins to celebrate, one thing to fix.

20.

Write a monthly routine checklist for managing our reviews in 15 minutes.

The rules: what not to do

• No fake reviews, including AI-written ones posted under fake names. The US FTC's rule banning fake reviews and testimonials took effect in 2024, the UK's DMCC Act bans fake reviews, and platforms remove them and can penalise your listing.
• Don't offer rewards for reviews (discounts or entries into a prize draw). Google's policies prohibit it, and it's restricted in many places.
• Don't "review-gate" by only asking happy customers through a filter. Google's policy says not to discourage or selectively solicit reviews.
• Don't reveal customer details in public replies.

Frequently asked questions

Can I use AI to reply to Google reviews?

Yes. AI is a good first-draft tool for review replies. Edit each one so it mentions a real detail and sounds like you, because identical generic replies look automated.

Is it legal to use AI to write reviews?

Writing reviews for your own business, or posting AI-generated reviews as if from customers, is deceptive. It breaks platform rules and consumer-protection laws in many countries. Use AI only to request and reply to genuine reviews.

How do I get more Google reviews?

Ask every satisfied customer, at the right moment (right after a good experience), with a direct link and a short, personal message. Consistency matters more than clever wording.

Should I respond to every review?

Ideally yes, and especially to negative ones. A calm, helpful reply to a negative review is read by future customers more than the review itself.

More prompts for your industry: get a free AI plan or read the salon prompts guide.