You are currently viewing How to Respond to a Fake or Unfair Google Review (and When Not to Reply at All)

How to Respond to a Fake or Unfair Google Review (and When Not to Reply at All)

If a review on your Google Business Profile looks fake or plainly unfair, the worst thing you can do is fire back an angry reply. The best thing is to work out which of three situations you are actually in, because each one has a different move. AI can help with two of them, mostly by keeping your tone calm when you are not feeling calm.

Step 1: sort the review before you type a word

Ask yourself three questions, in this order:

  1. Can I find this customer or order in my records? Search by name, date, phone number, or booking. If nothing exists, that is a strong sign the review is fake or about a different business.
  2. Does it describe something that could not have happened? A complaint about a service you do not offer, a location you do not have, or a day you were closed.
  3. Does it break Google’s own review rules? Google’s content policies cover things like spam, off-topic reviews, reviews from someone with a conflict of interest (a competitor or a former employee), and offensive content.

That gives you three buckets: fake or policy-breaking, real but unfair, and real and fair. Treat them differently.

Bucket 1: it looks fake or breaks the rules

You cannot delete a Google review yourself. What you can do is report it: on your Business Profile, the menu next to the review has an option to report it. Google then checks it against its policies and decides. Removal is not guaranteed and it can take a while, so do not stake your week on it.

Replying is a separate step and does not affect the report. While you wait, a short, neutral public reply is usually better than silence or an argument, because future customers read your reply as a sample of how you behave. Give an AI tool the facts and ask for a plain, non-accusing tone:

“A Google review says [paste review]. I have no record of this customer or visit. Write a public reply of two or three sentences that stays calm, does not accuse the reviewer of lying, says we cannot find a record under this name, and invites them to contact us at [email or phone] so we can look into it.”

A reply in that spirit reads something like: “We are sorry to hear this. We can’t find a record of this visit under this name, and we would like to understand what happened. Please contact us at [contact] so we can look into it.”

What not to put in it: the customer’s personal details, staff names, or any claim you cannot prove. A public reply is permanent and searchable, and a wrong accusation can hurt you more than the review did.

Bucket 2: real customer, unfair review

This is the hardest one emotionally: the person really was your customer, and the review exaggerates, misses context, or blames you for something outside your control. The move is to find the one true thing in it, acknowledge that, and leave the rest alone.

“A real customer left this review: [paste review]. The true part is [what actually went wrong or was slow]. The part I disagree with is [what is unfair]. Write a calm public reply of under 80 words that acknowledges the true part, briefly states one relevant fact without arguing, and offers one concrete next step. No defensive language.”

Notice that the prompt names the true part and the unfair part separately. That is what stops the AI from either grovelling about everything or defending everything, which are the two failure modes.

Bucket 3: real and fair

Not every bad review is a problem to manage. If the customer is right, the useful reply is a specific apology, what you changed or will change, and an offer to make it right. Use the same kind of prompt, and add the real fix you made so the reply has something concrete in it.

When not to reply at all

This is a judgment call, but many owners skip replying to one-star reviews with no text, and to abusive rants that a reader will obviously discount. A long public argument with an angry person mostly draws more eyes to the review. If you are unsure, sleep on it: nothing on a review page is improved by a reply written in the first ten minutes.

Read the AI’s draft before you post it

Replies written by AI have recognisable habits: “Thank you for your feedback,” “we take this very seriously,” “we strive to provide.” Readers notice, and a copy-paste tone makes an unfair review look more credible, not less. Before posting, check three things:

  • Does it mention something specific from this review, not just any review?
  • Is every fact in it something you know is true?
  • Would you be comfortable if the reviewer and your best customer both read it?

If you want ready-made versions of the prompts above for other everyday situations, they live in the free AI prompt swipe file; prompt number 8 is the one for replying to a negative review.

Frequently asked questions

Can I delete a fake Google review myself?

No. Only the reviewer or Google can remove a review. As the business owner you can report it from your Business Profile, and Google decides whether it breaks its content policies. Removal is not guaranteed and it can take time.

Should I reply to a review I think is fake?

Many owners post one short, neutral reply, such as saying you cannot find a record of the visit and inviting the person to contact you. It shows future customers how you handle problems. Avoid accusing the reviewer of lying, and never include personal details.

Does replying to a review help get it removed?

No. Replying and reporting are separate. A reply does not remove or hide a review, and reporting does not depend on whether you replied.

Is it safe to paste a customer’s review into ChatGPT?

The review text is already public, but avoid pasting private information such as order details, phone numbers, or emails from your own records. Give the AI only what it needs to draft a tone, then add any specifics yourself.

Dealt with a fake review yourself? Tell us how it went in the comments, and subscribe to ournationonline for more practical AI guides.

Chethan

Chethan is a technology enthusiast based in India and the founder of Our Nation Online. He's been testing and writing about AI tools since 2023 — no hype cycle to feed, just tools tested by hand and written up in plain English.

Leave a Reply