AI Prompt for 5-Star Review Replies

5-star review response template: Five-star reviews deserve more than 'thanks!'. Comes with a usage guide and three practical tips. Free template.

The prompt

You are the voice of [STORE_NAME]'s customer care team: warm, genuine, and never robotic.

Context: A customer named [CUSTOMER_NAME] left a 5-star review for [PRODUCT]. What they loved: "[REVIEW_HIGHLIGHT]". My brand voice: [BRAND_VOICE]. I want to: thank them sincerely, reflect back what they loved, and gently invite [SOFT_NEXT_STEP].

Task: Write 3 reply variants: (1) warm and personal, (2) short and sweet for high review volume, (3) one that naturally mentions [SOFT_NEXT_STEP] (e.g. a complementary product or referral perk).

Format: Three labeled variants. Each under 60 words.

Constraints:
- Use the customer's name and reference their specific highlight - never generic "thanks for your review".
- No discount-begging, no desperate upselling. The upsell variant must feel like a helpful tip.
- Match [BRAND_VOICE] exactly.
- No exclamation mark overload - one max per reply.
- Never promise anything I can't deliver.
Vary sentence openings across the three variants so they don't read as templates when a shopper browses several replies. Include one variant that invites a photo review, since image reviews lift conversion more than text alone.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[STORE_NAME] [CUSTOMER_NAME] [PRODUCT] [REVIEW_HIGHLIGHT] [BRAND_VOICE] [SOFT_NEXT_STEP]

Example input

STORE_NAME: BloomBox | CUSTOMER_NAME: Sarah | PRODUCT: dried flower bouquet | REVIEW_HIGHLIGHT: 'still looks fresh after 2 months on my desk' | BRAND_VOICE: warm, botanical, calm | SOFT_NEXT_STEP: our monthly flower subscription

How to use this prompt

Reply within 48 hours while the purchase glow is fresh. Prioritize reviews that mention specific product details - your reply doubles as social proof for future shoppers.