Guest reviews, turned into bookings. Hotels use airatingz to grow reviews on booking sites and respond in the guest’s language.
Guests at a candlelit restaurant table
The short version
Hotels use airatingz to grow reviews on booking sites and respond in the guest’s language.
The result: higher ratings and more direct bookings.
Where the time goes today
Most teams in this space lose hours every week to the same few problems. Each one is repetitive, rule-based and time-sensitive, which makes it a strong fit for AI.
01
Reviews spread across many platforms
02
Replies in one language only
03
Competitors rank higher
Which AI agents to use
You don’t need a whole platform on day one. These 3 agents cover this workflow, and each one can start on its own.
Here is what happens once the agents are live. People step in only where judgement is needed.
01
Guest checks out
02
Review requested on the right platform
03
Reply in the guest’s language
04
Ratings benchmarked against competitors
What the AI actually does at each step
Behind every step, the agents run the same four-part loop: listen for the trigger, understand the details, act in your systems, then learn from the outcome.
01
Reply agentWarm, specific replies in your voice. Auto-post rules for positive reviews. Careful drafts for negative ones.
02
Sentiment agentTopics like staff, wait times and price. Trends by week and location. A plain-English monthly summary.
03
Competitor agentRatings and volumes side by side. Response-rate comparisons. Alerts when a competitor overtakes you.
Keeping it safe
AI only works in a professional setting when it’s supervised. These guardrails are built in from day one.
01
Fair review requestsEvery customer is asked. Reviews are never filtered or incentivised.
02
Approval rulesChoose which replies post automatically and which wait for you.
03
Privacy-safe repliesReplies never confirm sensitive details, which matters in healthcare and law.
04
Platform compliantBuilt to follow each review platform’s policies.
Every agent output that affects a client, patient or customer can be set to require a person’s approval first.
Your first 30 days
A typical rollout, done for you by the rainmindz team.
01
Week 1 · MapWe document the workflow, the rules and the edge cases with your team.
02
Week 2 · BuildAgents are built and connected to Google Business Profile, Yelp, Facebook.
03
Week 3 · TestYour team tests real scenarios and we tune the answers and actions.
04
Week 4 · Go liveAgents go live with monitoring, and we review results with you monthly.
Checklist before you start
Have these ready and your rollout will be faster.
01
A list of the questions and tasks that take the most time
02
Access to the systems the agents will work in
03
Your rules: what agents may do alone and what needs approval
04
Examples of great replies, documents or outcomes
05
One person on your side who owns the project
06
A clear measure of success, such as hours saved or response time
Frequently asked
01
Which review sites are covered?Google, Yelp, Facebook, Trustpilot, Tripadvisor and the main industry directories.
02
What does “done for you” mean?We design, build, connect and run the agents ourselves. Your team reviews the blueprint and approves every workflow before it goes live. There’s no software for you to learn.
03
Does it post replies on its own?Only for the review types you allow, such as five-star thank-yous. The rest wait for approval.
Want this running in your team?We design, build and run it for you. Most teams are live within 3–4 weeks.Book a discovery call
