Genuine reviews from real customers, replies to every one of them, and disputes filed where a review breaks the rules. No purchased or incentivised reviews, and no promised rating by a deadline.
In local business reviews decide the choice more often than the website does: people open the listing, look at the rating, read a couple of recent reviews and see how the company answers the bad ones. The problem is nearly always the same — nobody asks for reviews, and nobody replies to the negative ones. We set that up as a process: ask real customers at the right moment, reply to every review on the substance within the working day, and report the clearly false ones through platform moderation. What we don't do: buy or write reviews, or offer a discount in exchange for one — platforms treat those as incentivised, strip them, and the rating ends up lower than where it started. We also don't promise a specific rating by a specific date: your customers set the scores, not your vendor.
People compare the scores side by side in the listing. A recent negative review sitting unanswered at the top costs you enquiries before anyone calls.
In your niche, 'dirty' competitors purchase negative reviews. Without a system for displacement, those reviews stay on top.
Only 1-3 out of 100 customers leave a review. Without reminders, QR codes, SMS — your listing grows only from occasional negatives.
Google and Yelp rank listings with response to all reviews higher. Customers also check: did the business address criticism and how.
Google Maps, Yelp, and TripAdvisor actively filter suspicious reviews. Purchased fake reviews disappear in 1-7 days — pure risk, no reward.
How many reviews per month? What's the average by platform? What themes recur in negatives? Without data, you can't improve service.
Analyze all platforms where your brand is mentioned: Google Business, Yelp, TripAdvisor, Trustpilot, industry-specific sites.
Implementation: QR codes on receipts/packaging, SMS/Email review requests, website widget, manager signature links. 3-5× more reviews.
Replies within one business day, urgent cases sooner. Brand voice, correct de-escalation of negatives, thanks for the positives.
Prioritize which negatives to address first, when to launch collection campaigns, how to time deployments for maximum impact.
Monthly report: rating growth, review dynamics, negative themes, service recommendations, competitor niche comparison.
Report obviously false/spam reviews through platform moderation. Escalate contested cases with legal support if needed.
One-time work: reviewing the situation, putting listings and profiles in order, replying to the backlog of unanswered reviews, and a plan for what comes next. The figure is from our pricing page.
Ongoing reputation work is an add-on to the retainer, from $900/mo. We rarely take it as a standalone subscription: without work on branded search results the effect doesn't hold.
A truthful negative review cannot be removed. What can be done is set out below, case by case.
No fake buying — platforms flag it and it destroys trust. We work with your real customers through automated collection points.
Urgent cases we take sooner. Platforms see an active business, and customers see that complaints are answered.
A few genuine reviews a week beat fifty in one day: a sudden surge is what platforms read as manipulation and strip.
A report citing the specific rule with evidence — booking records, no such customer, facts that don't match. Some come down; the decision is the moderator's.
Analyze all platforms mentioning the brand, current rating, negative themes, competitor activity. 3-month roadmap.
Design QR codes, configure SMS/email flows, install website widget. Train your staff on 'how to ask for reviews right'.
Approve tone of voice, prepare templates for different review types. Start replying to everything that comes in within one business day.
Obvious fakes are reported with the rule cited and evidence attached. Platforms remove some and refuse others — we don't promise a percentage.
Monthly report: rating growth, dynamics, negative themes, business service recommendations. Adjust strategy based on results.
The market promises "suppression" without explaining the mechanics. Here is the honest picture, case by case.
| Situation | What can genuinely be done | What won't happen |
|---|---|---|
| The review breaks platform rules: abuse, a competitor's promotion, an invented purchase | A report citing the specific rule, with evidence. Platforms do remove some of these | No guarantee: a moderator decides, not your vendor |
| The review is accurate but unflattering | A public reply on the substance and fixing the customer's problem. Sometimes the author revises the rating | It can't be removed. Pressuring the author usually produces a second review about the pressure |
| Defamation, personal data, a legal violation | A formal approach to the platform and, where warranted, a legal route | It's a process measured in months, not "gone in a week" |
| A negative article ranking for your brand name | Strengthening the properties you control — site, listings, profiles, publications — so they occupy more of the results | Nobody can guarantee a third party's page drops out of the results |
| Almost no reviews, so one bad one is all anyone sees | Collecting genuine reviews from satisfied customers as an ongoing process | The rating won't be fixed quickly: platforms are wary of sudden spikes |
It isn't only an ethics question. Platforms have long detected bursts of similar reviews: the ratings get stripped, and afterwards the average sits lower than before the campaign. The listing can be flagged, sometimes demoted. Add to that how people read: the negative ones and the detailed ones get read first — a dozen identical five-star "great service, recommended" entries make a buyer suspicious rather than confident. There is one workable route: ask real customers at the right moment and reply to every review.
Google Maps and Yelp auto-cleanse purchased reviews within 1-7 days. It's budget drain plus platform ban risk.
Every review from a real customer of your business. On request we show their inquiry date and collection channel.
We follow all platform rules and law. Competitor disputes go through official procedures.
Dashboard with incoming reviews, responses, rating dynamics. No 'black boxes'.
It depends on your customer flow and on who does the asking. When the person who delivered the service asks, and there's a short link or a QR code straight to the listing, a meaningful share of happy customers agree. When the request goes out as an impersonal email a week later, almost nobody does. We set up the first version and report the result in reviews per month rather than in promised percentages.
No, and this matters. Platforms treat those as incentivised reviews: they remove them, and repeat offences cost the listing its standing. Asking for a review is fine and necessary; paying for one is not. What works instead is asking at the moment someone is pleased, and making it effortless.
Honestly, it depends on how many reviews you already have. With hundreds on file the average moves slowly, because each new one weighs little. With a handful it moves fast in both directions. We don't promise a figure by a date: your customers set the scores.
They're recognisable: several similar entries in a row, no specifics, a service you don't offer, accounts with no history. We file a report citing the specific rule with evidence — booking records, no such customer, facts that don't match. Some get removed. In parallel, a steady flow of genuine reviews is what makes isolated attacks insignificant.
Yes, with a caveat. In healthcare, replies must not confirm that a person was treated or discuss their case — so we write answers that help the reader without breaching confidentiality and move specifics to a private channel. The same discipline applies anywhere claims are regulated.
You can, but the effect is halved: answered criticism with no new reviews coming in still leaves the negative as the first thing people read. If someone on your team is willing to ask customers, we'll set up the process and train them — that's cheaper than outsourcing the collection.
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