Our Mission
Correct the asymmetry.
Protect the reputation.
RevIQ is a Customer Experience Control Layer for local businesses. We help teams resolve concerns quickly, invite authentic reviews, and measure the operational value of every follow-up.
The problem
Bad experiences travel further than good ones.
A happy customer tells about 3 people. An unhappy one tells 9 to 15. That is not a marketing problem. It is an asymmetry in human behavior — and it has been tilting the math against service businesses since long before Google Reviews existed.
Most tools built in the last decade try to fix it with star-rating widgets and survey links. Those only work on customers who were already going to tell you something. They miss the silent majority and rarely give staff enough context to resolve the issue.
We built RevIQ because we watched service businesses with careful, caring teams get dragged down by a single bad day, and we watched brilliant operators stop asking for reviews because the effort rarely matched the return. The tools were not listening. They were sending surveys.
Our answer
Meet Aitana.
Aitana is the default name for your AI assistant. She texts opted-in customers from your business’s number, a few minutes after they leave, and asks how everything went. The message is simple, clear, and personal enough to earn a real reply.
Customers reply because the follow-up feels relevant, not because they were pushed into a rating funnel. That design decision is the reason our reply rate is 29% where survey-link tools hover at 2–5%.
How we correct the asymmetry
Five systems. One goal.
Each one solves a specific place where customer feedback goes quiet. Together, they protect the reputation you already earned and amplify the praise that usually dies inside a customer’s head.
Pillar 01
The Experience Router
Reads free-text replies and routes concerns to your team with context. Review invitations stay customer-controlled.
Deep dive
Pillar 02
Personal Follow-Up
Consent-based texts that feel relevant and specific. 29% reply rate vs 2–5% for survey-link tools.
Deep dive
Pillar 03
The Recovery Loop
Unique-code recovery offers help teams follow through after a concern. Redemption becomes an offer-performance signal, not the whole score.
Deep dive
Pillar 04
Visit Capture
Six ways for a visit to enter the system. QR, OCR, CSV, desktop, Chrome, or manual.
Deep dive
Pillar 05
The Growth Engine
AI-generated flyers with unique QRs. Every scan becomes an attributed lead.
Deep dive
Foundation
Local-First & Compliance-Safe
Reservation data stays on your machine. A2P registration is covered. Phone numbers never shared.
Built for
Service businesses with real customers and real reputations to protect.
We are not a good fit for e-commerce stores, call centers, or anyone sending cold promotional blasts. RevIQ is designed for post-service conversations with customers who actually walked into your business. If that is you, we built this for you.
How we operate
Things we will not do.
A few principles we use as non-negotiables. If we ever have to choose between a feature and one of these, the feature loses.
We will not sell or share your customer data.
Not with advertisers. Not with affiliates. Phone numbers collected through RevIQ are used to send the messages the customer consented to and nothing else.
We will not fake, buy, or gate reviews.
Review invitations cannot require a positive rating, and recovery offers are not conditioned on posting or changing a review. Customers decide whether and what to publish.
We will not bury you in a sales process.
RevIQ launches through guided onboarding so your location, messaging rules, and integrations are set up correctly. Your dashboard shows exactly what the system did, and the platform recommends the plan that matches what you actually used.
We will not hide the automation.
Opt-in language names automated messaging and RevIQ. The conversation feels human because the message is useful, not because we conceal the platform.
Let the numbers speak.
See the full system against real restaurant workflows, then launch with a private guided onboarding link.
Demo first · Private onboarding link · Guided launch