Businesses already multiplying their reviews

The challenge

23 reviews in 2 years. Only complaints came in — happy customers never bothered to write one. Their 3.8★ average kept them invisible in local searches.

The solution

They set up ResenasYa to send an automatic WhatsApp 30 minutes after payment. The AI filtered responses: satisfied customers got the direct Google Maps link, unhappy ones got an empathetic reply to resolve the issue privately.

The result

In 2 months they went from 23 to 97 reviews with a 4.7★ average. They ranked in the top 3 Italian restaurants in their area and had a waiting list on weekends for the first time.

The challenge

58 reviews in 4 years with an NPS of 72. Members were very satisfied but nobody left ratings. The team had tried asking in person, but it felt awkward and didn't scale.

The solution

They activated the Pro plan with incentives: any member who left a 5★ review and sent the screenshot received 10% off their next month. The AI automatically verified the 5 stars and sent the discount code instantly.

The result

In just 6 weeks they got 134 new reviews with a 4.9★ average. 62% of members who received the incentive WhatsApp ended up leaving a review and claiming their discount.

The challenge

High customer satisfaction (NPS 78) but zero Trustpilot presence — that's where buyers made their final purchase decision. Competitors had hundreds of reviews; they had just 12.

The solution

They set up an automated WhatsApp 48 hours after delivery, when the customer had already had time to try the product. The link pointed directly to their Trustpilot profile.

The result

In 4 months they accumulated 289 reviews with 4.7★ on Trustpilot. Their online store conversion rate went up 22% after displaying the Trustpilot widget on product pages.

The challenge

Sensitive sector: they needed to collect positive opinions naturally, but worried that difficult cases would end up as public negative reviews damaging their reputation.

The solution

The AI sentiment filter was the key. Only patients with clearly positive responses received the Google Maps link. Those expressing discomfort received an empathetic message inviting them to call directly.

The result

62 new reviews in 4 months, all above 4 stars. No negative response made it public — all were handled privately.

The challenge

18,000 monthly active users but only 312 ratings total across both stores. The low ratio was hurting their category ranking and slowing organic downloads.

The solution

They segmented users by device: iOS users got the App Store link, Android users got Play Store. The message was sent to users who had opened the app at least 5 times in the past month.

The result

In 3 months they got +520 ratings across both platforms. Their ranking in the Food category went from top 40 to top 10, with a 35% increase in organic downloads.

The challenge

31 reviews and 4.2★ while the café across the street had 180 reviews and 4.8★, always appearing first. Regulars loved them but never put it on Google.

The solution

They launched the ultimate incentive: leave a 5★ review, send the screenshot and we'll buy you a coffee. The AI automatically verified the 5 stars and sent the confirmation message instantly.

The result

From 31 to 97 reviews in 3 weeks with a 4.8★ average. They overtook the competition and started appearing first for searches like 'café Portland downtown'.

The challenge

With a 4.2★ average and several 1-star reviews with no text or user history, they suspected fake reviews from a competitor. Those 4 reviews were dragging down their score and costing them direct bookings.

The solution

Using ResenasYa's Google Business Profile integration, the system automatically analysed their negative reviews and flagged 4 that violated Google's policies: no comment, no user history, and generic content. They requested removal in one click.

The result

Google removed 3 of the 4 reviews within 12 days. Their average went from 4.2★ to 4.6★ and they climbed 3 positions in the local hotel ranking. Direct bookings increased 18% that quarter.

The challenge

They received 15 new Google Maps reviews per week but only replied to 8% — there was never enough time. Google penalises profiles that don't respond and they were feeling it in the rankings.

The solution

They connected Google Business Profile with ResenasYa. The AI generates a personalised reply for every review, taking into account the customer's specific comment and the business tone. Responses are published automatically within an hour.

The result

In 2 months their response rate went from 8% to 94%. Google labelled them as 'Usually responds' on their listing. They climbed 4 positions in 'spa Austin' searches and profile clicks increased 31%.