How to reply to Google reviews in Hindi and English with AI
A practical guide to replying to Google reviews in the customer's own language with AI — including Hindi, Hinglish and regional languages — without sounding robotic or careless.
The short answer
Reply to every review, in the language the customer used, with a short, specific, polite response — and use AI to draft it, not to post it blindly. ReviewMitra does this with Gemini 2.5 AI: it detects whether a review is in English, Hindi, Gujarati, Marathi, Tamil or Hinglish and drafts a reply in that language, while a sentiment safety lock flags 1 and 2 star reviews for human review before anything is posted. The rule is simple: AI writes the first draft, a human approves the sensitive ones, and every customer feels heard in their own language.
Why language matters
In India, customers review in the language they think in. A Hindi review answered in formal English feels distant, and a Hinglish review answered in stiff corporate English feels copied. Replying in the customer's language shows respect and makes the reply believable to the next customer reading it. It also helps local search: a business that actively replies in local languages looks alive and cared for, while a business with silent reviews looks closed. Language is not decoration here — it is the difference between a reply that builds trust and one that is ignored.
A good reply, in any language
A good reply has three parts: thanks, specifics, and an invitation. Thank the customer, mention the detail they praised or complained about, and invite them back or invite a private conversation to fix a problem. Keep it short — two or three sentences is enough — and avoid generic lines that could fit any business. For a positive review, be warm and specific. For a negative review, be calm, apologise for the experience, and move the conversation private; never argue, blame, or share private details in public. These rules hold whether the reply is in Hindi, English or Hinglish.
Where AI helps — and where it must not decide alone
AI helps by drafting quickly, matching language, and keeping tone consistent across dozens of reviews. It must not decide alone on sensitive reviews: an angry customer, a factual complaint, or a review that mentions a name or a serious incident needs a human eye. That is why ReviewMitra's sentiment safety lock never auto-posts 1 and 2 star reviews blindly, and why its QR Booster routes unhappy customers to private handling before they post publicly. Use AI for speed on routine replies, and keep humans in charge of anything that could damage a relationship if worded wrong.
Getting more reviews worth replying to
Replies work best when there are reviews to reply to. Ask at the right moment — right after a good experience — with a simple in-store QR or a WhatsApp follow-up, rather than a generic request weeks later. ReviewMitra's QR Booster routes happy customers to the Google review box and unhappy ones to private feedback, so public reviews skew positive without faking anything. Never buy fake reviews or reward only positive ones; platform rules forbid it and customers can tell. Steady, genuine reviews plus prompt, language-matched replies compound into a rating that brings new customers on its own.
Starting with ReviewMitra
ReviewMitra gathers Google Maps, Facebook, Justdial and IndiaMART reviews into one mobile-friendly dashboard, so you reply from one place instead of four apps. Plans start at Nano, ₹79/month plus 18% GST, up to Pro Unlimited at ₹399/month plus 18% GST, with a multi-business switcher for up to 5 locations on higher plans. Daily WhatsApp reports and negative-review alerts keep you informed without constant checking. Start by connecting your business, replying to your most recent reviews in their own language, and setting up the QR Booster in-store — within a week, replying becomes a habit instead of a backlog.