Setting Up Your First Review Engine

Every local business owner knows reviews matter. Most of them do nothing about it. They have 14 reviews from three years ago, half of them unanswered, and they wonder why the competitor down the street with 200 reviews and a 4.7 rating gets all the calls.

This is one of the easiest services to sell because the gap is visible to anyone with a phone. Open Google, search their business, and the evidence is right there. And it’s one of the easiest to deliver because GHL has every piece you need built in.

This playbook walks you through the full setup, from connecting their Google Business Profile to showing them a dashboard where reviews are coming in, getting responded to automatically, and displaying on their website. By the end, they have a system that runs without them thinking about it.

Step 1: Connect Google Business Profile

Nothing works without this. The client’s Google Business Profile is the foundation for everything that follows: review requests, monitoring, AI responses, all of it routes through GBP.

During the quick start call or setup session, have the client connect their GBP through the integrations page. They’ll need to authenticate with the Google account that owns or manages their business listing. If they don’t have a GBP claimed, that’s a separate conversation. Help them claim it first, then come back to this.

Once connected, verify that the reviews are syncing. You should see their existing reviews populated in the reputation management section.

Where this connects:

• Google Reviews: the GBP integration and review data sync
• GBP Connection: the onboarding step where this happens

Step 2: Configure the Review Request Workflow

This is the engine. You’re building a workflow that automatically asks customers for a review at the right moment: after an appointment is completed, after an invoice is paid, or after a service is delivered.

Set the trigger based on how this client’s business works. For a service business, it might be “appointment status changed to completed.” For a retail or e-commerce client, it might be “invoice paid.” Pick the moment when the customer has received value and the experience is fresh.

Add a wait step. Don’t fire the request instantly. Give it a few hours. You want the customer to have left the office, gotten home, and had a moment to reflect on the experience. Two to four hours works for most businesses.

Then send the review request via SMS. One message. One ask. Direct link to their Google review page.

Where this connects:

• Review Requests: the review request campaign system
• Workflow Builder: where you build the automation
• Triggers: the event that starts the workflow

Step 3: Write the Request Message

This is where most agencies blow it. They write something that sounds like it came from a corporate marketing department. Nobody responds to “Dear Valued Customer, your feedback is important to us. Please take a moment to share your experience.”

Write it like a human. Short, personal, direct. Something like: “Thanks for coming in today. If you had a good experience, a Google review would mean a lot to us.” Then the link. That’s it.

Use the client’s business name or the name of the person who served the customer if you have it. Personalization isn’t a feature. It’s the difference between a 5% response rate and a 25% response rate.

Where this connects:

• SMS & MMS: the channel for sending the review request

Step 4: Install Reviews AI

Now automate the response side. Reviews AI generates and posts replies to incoming reviews automatically. Positive reviews get a thank-you. Negative reviews get an acknowledgment and an invitation to resolve the issue offline.

Configure the tone to match the client’s brand. A law firm and a pizza shop don’t respond to reviews the same way. Set the guardrails so the AI sounds like their business, not like a generic bot.

Once it’s on, every new review gets a response within minutes. The client doesn’t have to touch it. Their review profile goes from silent to active overnight, and Google notices. Businesses that respond to reviews consistently rank better in local search. It’s not just optics, it’s SEO.

Where this connects:

• Reviews AI: AI-powered review responses with tone configuration and sentiment detection

Step 5: Launch the Unanswered Review Drip

Most clients you onboard will have a backlog of reviews that were never responded to. Some from last month, some from two years ago. Every one of those unanswered reviews tells a potential customer that this business doesn’t pay attention.

Set up a drip that works through the unanswered backlog over time. Don’t respond to 40 reviews in one hour. That looks automated and unnatural. Space them out. A few per day over a couple of weeks. By the end, every review on their profile has a response, and the transformation is visible to anyone who searches for them.

This is one of the fastest wins you can show a client. They log in, look at their Google profile, and see responses on reviews they forgot existed. That’s tangible value in the first week.

Where this connects:

• Unanswered Review Drip: the onboarding step where this gets deployed
• Drip Sequences: the automation pattern for spacing out the responses

Step 6: Set Up the Review Widget

The reviews are coming in and getting responded to. Now put them on display. The review widget embeds on the client’s website and shows their Google reviews with star ratings, dates, and response text. It’s social proof that updates automatically as new reviews arrive.

Add it to their homepage, their service pages, or a dedicated testimonials section. Every visitor who sees 4.8 stars with recent, responded-to reviews is more likely to pick up the phone or fill out a form.

Where this connects:

• Review Widget: embeddable review display for websites

Step 7: Show Them the Dashboard

The review engine is running. Now give the client visibility into what’s happening. Pull up the review monitoring dashboard and walk them through it: new reviews coming in, response times, star rating trending up, total review count growing.

This is the report that keeps clients paying. When they can see the numbers moving in the right direction month over month, the value of your service is undeniable. “You had 14 reviews when we started. You have 47 now. Your rating went from 3.9 to 4.6. Every review has a response.”

That’s not a pitch. That’s math.

Where this connects:

• Review Monitoring: the dashboard for tracking review activity and trends
• Dashboards: broader reporting if you want to bundle review data with other metrics

The Sequence at a Glance

What This Playbook Does NOT Cover

• How to handle negative reviews that need escalation (Reviews AI handles standard responses, but crisis situations need a human)
• How to use reviews as part of a database reactivation campaign (see future playbook: The Database Reactivation)
• How to sell this as a service (see Building Your First Package and The Audit That Sells For You)
• Facebook Reviews setup (same principles, different platform connection)

This playbook gives you a fully operational review engine deployed to a real client. Reviews requested automatically, responded to by AI, displayed on their website, tracked on a dashboard. It runs without anyone thinking about it, and the results sell your next client for you.