Review Replies reply to customer reviews with AI
Paste a review — AI drafts a polite, professional reply. Works for both positive and negative reviews on marketplaces and maps.
Works right in the browser
All payment methodsReady-made prompts
Examples created by our users
AAdamFourth-year student I started my dissertation with the outline: I got the structure by chapter with a length for each. I wrote the rest myself, but I stopped getting stuck on "where do I start".
CChloeMaster's student I put the reference list together in ten minutes instead of an evening in the library, already annotated with which source suits which chapter.
WWalterPhD student I ask it to write the conclusion from the finished chapters - it comes out as coherent text that answers the aim from the introduction. I only tidy up the details.
Why Moleculs.ai
A straightforward way to work with AI
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Works right in the browser
Nothing to install or configure - open a tab and start
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Text, images, video, and music - all under one subscription
Clear, simple interface
Plain wording throughout the product - no guesswork
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What kinds of reviews can AI answer?
AI picks the right tone — gratitude for praise, empathy for criticism.
A reply to a negative customer review
Thanks for a good review
An offer of compensation
A short reply for maps and marketplaces
How to reply to a review
- Step 01
Describe the task
Fill in the steps: customer review, rating, tone of the reply. Or describe "Review Replies" in one message in the field.
- Step 02
Choose what to get
Choose what to get: "To a negative one", "To praise" and other options under the field.
- Step 03
Run it and refine
Press "Reply to a review". Need another form, such as "To praise"? Switch the chip and run again. Refine the answer with the buttons under it.
What our users say
Real reviews from our Telegram community
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Answers to questions
Better to add facts from your situation: the customer's name, the order number, what you are doing to put it right.
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Describe your task in one field and get a finished result in minutes. Moleculs.ai brings together the best AI models for text, images, video, and voice in a single interface. Start with a free generation, then subscribe for a larger token limit: write text, scale content, and switch between models without juggling extra tools.
Why bother replying to reviews at all, and why do it with AI
A review reply isn't written for the person who left the review - it's written for whoever reads it next. Someone choosing between two listings on a marketplace isn't looking at the five-star raves, they're looking at how the seller handles a complaint. A calm, specific reply to a negative review sells better than ten glowing ones.
The problem is volume. Fifty reviews a week means two or three hours spent rewriting the same phrases over and over. An AI review reply generator removes exactly that grind: it holds a steady tone, doesn't get emotional, and doesn't run out of patience by reply number thirty.
Where AI can't help
It can't tell who's right. If a customer says the item arrived broken, the reply needs to rest on facts - what was actually in the order, what the check showed, what you're prepared to do about it. The model doesn't know any of that, and if you don't give it those facts, it will invent a polite promise you can't keep.
How to get a reply that doesn't read like a brush-off
- Paste the review in full. Not a summary - the actual text, because the reply's tone should match the complaint's tone.
- Give it the facts. What really happened, what you can offer, what you can't. Without that, you get empty politeness.
- Set a length. Two or three sentences for a positive review, three or four for a negative one. A long reply to a short complaint reads as making excuses.
- Ban the stock phrases. “Your opinion matters to us,” “we apologize for the inconvenience caused” - these kill trust faster than the complaint itself.
- Ask it to address the reviewer by name if the platform shows one.
A formula for replying to negative reviews
A structure that works has four parts: acknowledge the problem in specific terms, give a short explanation without shifting blame, state a concrete action with a deadline, invite the person to continue in direct messages. No excuses, no arguing with the facts, and no asking them to take the review down - that last one stands out immediately and works against you.
Generating a reply this way with AI takes seconds; reading it over and swapping in the real facts takes a minute. That minute is the whole job.
Positive reviews need replies too
A five-star review usually gets the same “thanks for the great rating,” and that's a missed opportunity. A reply to a positive review is a chance to name a specific product, mention something related, show the brand's personality. Ask the AI to pick up on a detail from the review itself - if someone praised the packaging, a reply about the packaging reads as genuine, not automated.
Provocations and fake reviews
There's a separate category: reviews written purely to start a fight. The rule here is simple - reply once, briefly, neutrally, and stick to the facts. Left unchecked, the model will happily get drawn into an argument, so spell it out in the prompt: no emotion, no judging the reviewer, two sentences maximum.
Platform quirks
AI writes review replies the same way everywhere, but platform rules differ, and that's worth building into the prompt.
Marketplaces. The reply is visible on the product page and factors into the purchase decision. Product specifics matter here - SKU, size chart, what's included in the box. Links and contact details are usually banned, so ask for replies that work without them.
Maps and directories. The people reading are deciding where to go. A good reply carries a mark of authenticity - the manager's name, the specific branch address, opening hours. Boilerplate stands out the most here.
Review aggregators. The audience is skeptical, and there's a lot of fake content around. A measured, businesslike tone works, along with an offer to sort things out by referencing a specific ticket number.
Timing
A reply posted within the first day gets read many times more often than one posted a week later - after that, the review sinks down the feed. So instead of batching this once a month, it's worth doing short ten-to-fifteen-minute passes, but doing them regularly.
What to check before publishing
Facts - dates, order numbers, deadlines, product names. Promises - is what's written actually deliverable, and by whom. Tone - check it doesn't sound condescending; “we're sorry you misunderstood” reads as an accusation. And repetition - if you're publishing replies in a batch, identical opening lines stand out, so it's worth asking for different first sentences each time.
Generating a review reply with AI gives you a draft you read through and sign off on, not text that goes straight to the platform unread. The difference between those two modes is obvious to the customer from the first line.
