How to Get More Google Reviews. 5 Proven Strategies That Actually Work (Including How to Automate the Entire Process)

Quick Answer

If you’re looking for the fastest way to generate more Google reviews, the answer is surprisingly simple.

Ask every happy customer at the right moment, make leaving a review effortless, and build a system that asks consistently instead of relying on memory.

Most businesses don’t struggle because customers are unwilling to leave reviews. They struggle because they ask too late, make the process difficult, or simply forget to ask.

The businesses that consistently collect five-star Google reviews don’t necessarily provide a better service than everyone else. They simply have a better review process.

Throughout this guide I’ll show you how to build a repeatable review generation system using HighLevel automation, while staying firmly within Google’s review guidelines.

Key Takeaways

• Google rewards businesses that receive a regular stream of authentic reviews.
• Ask customers immediately after delivering value, while the experience is still fresh.
• Remove as much friction as possible by using direct review links, QR codes and NFC review cards.
• Customers should always write and submit reviews in their own words.
• Avoid using AI to generate customer reviews, as this could breach Google’s review policies.
• AI is extremely effective for automating review requests, replying to reviews and managing your review workflow.
• The best businesses don’t just collect reviews. They turn happy customers into long-term advocates.

Why Google Reviews Matter More Than Ever

Twenty years ago people asked friends, neighbours and colleagues for recommendations.

Today they ask Google.

Increasingly, they also ask AI assistants such as ChatGPT, Gemini, Claude and Perplexity.

Whether someone is looking for a plumber, accountant, dentist, solicitor, consultant or software provider, one of the very first things they look at is your online reviews.

Your Google Business Profile has become your digital shop window.

Potential customers often decide whether to contact you before they’ve even visited your website.

That’s why Google reviews influence far more than just your reputation.

• Local search rankings
• Google Maps visibility
• Click-through rates
• Customer trust
• Enquiry rates
• Sales conversions
• Repeat business

Two businesses offering almost identical services can receive dramatically different numbers of enquiries simply because one has hundreds of recent reviews while the other has only a handful.

Reviews have become social proof at scale.

Google Isn’t Looking for Perfect Businesses

Here’s something many business owners misunderstand.

Google doesn’t expect perfection.

It expects authenticity.

A business with 400 reviews averaging 4.8 stars often appears more trustworthy than one with 12 reviews averaging 5.0 stars.

Why?

Because customers understand that no business can please everybody all of the time.

A steady flow of genuine reviews tells both Google and potential customers that your business is active, trusted and continuing to serve real people.

That steady flow is far more valuable than collecting twenty reviews one month and then none for the next year.

Consistency beats intensity.

The Rise of AI Search

Something else has changed over the last couple of years.

People are no longer simply typing questions into Google.

They’re asking ChatGPT.

They’re asking Gemini.

They’re asking Claude.

They’re asking Perplexity.

Instead of searching:

Best accountant near me

People increasingly ask:

Which accountant in Manchester has the best reviews for small businesses?

AI assistants are becoming another layer between customers and search engines.

That makes your online reputation even more valuable.

The businesses that consistently receive authentic, descriptive reviews are creating signals that benefit both traditional search engines and the rapidly growing world of AI search.

Important. Don’t Use AI to Write Customer Reviews

Before we go any further, it’s important to address something that has become increasingly common.

Many businesses are experimenting with AI to draft reviews for customers before asking them to copy and paste them into Google.

Personally, I don’t recommend this approach.

Google expects reviews to reflect the genuine opinions and experiences of the customer who actually received the product or service.

Although AI can be an incredibly useful business tool, using it to generate reviews on behalf of customers risks falling outside Google’s review policies.

If Google believes reviews have been artificially generated or manipulated, the consequences could include:

• Individual reviews being removed.
• Large numbers of reviews being filtered out.
• Your Google Business Profile being restricted or suspended.
• Serious or repeated breaches putting your online visibility at significant risk.

My advice is simple.

Always encourage customers to write honest reviews based on their own experience and in their own words.

Where AI really shines is helping your business, not writing reviews for your customers.

Throughout this guide I’ll show you how HighLevel uses AI safely and effectively to automate review requests, reply to reviews, analyse customer sentiment and trigger intelligent follow-up automations.

The Biggest Mistake Most Businesses Make

Whenever I ask business owners how they collect Google reviews, I usually hear something like this.

“We ask when we remember.”

Or…

“We send an email every few months.”

Or perhaps…

“We mention it on our invoices.”

None of those approaches are really a system.

They’re good intentions.

Unfortunately, good intentions don’t produce consistent results.

The businesses collecting dozens or even hundreds of Google reviews every year aren’t necessarily asking more persuasively.

They’re asking more consistently.

That’s a huge difference.

Stop Asking Occasionally. Start Building a System.

Imagine two dentists.

Both provide excellent treatment.

Both have friendly staff.

Both genuinely care about their patients.

Dentist A asks for reviews whenever the receptionist remembers.

Dentist B has an automated process that requests feedback after every completed appointment.

Who do you think collects more reviews?

Exactly.

The quality of the dentistry may be identical.

The quality of the process isn’t.

Introducing The Review Journey

Most businesses think review generation looks like this.

Complete the work

↓

Ask for a review

That’s far too simplistic.

I prefer to think of it as The Review Journey.

Deliver Outstanding Service

↓

Confirm Customer Satisfaction

↓

Collect Feedback

↓

Request a Review

↓

Customer Writes Genuine Review

↓

Reply to the Review

↓

AI Identifies the Most Likely Customer

↓

Update Contact Record

↓

Referral Campaign

↓

Case Study Request

↓

Generate Repeat Business

↓

Build a Customer Advocate

Notice something important.

The review isn’t the destination.

It’s simply another milestone in building a long-term relationship with your customer.

That’s an important mindset shift.

Strategy 1. Make Leaving a Review Effortless

One of the biggest misconceptions about Google reviews is that people are unwilling to leave them.

In reality, most happy customers are perfectly willing to help.

The real problem is friction.

Every extra click, every extra search and every extra decision dramatically reduces the chances of someone actually completing the review.

Think about the traditional process.

“If you get chance, could you leave us a Google review?”

The customer agrees.

They get back to work.

A few days later they vaguely remember.

Now they have to search for your business, find the correct listing, click Reviews and decide what to write.

It’s no surprise that many good intentions never become published reviews.

The businesses generating large numbers of reviews have one thing in common.

They remove almost every obstacle.

A direct review link is better than asking someone to search.

A QR code is better than asking someone to type a website address.

And there’s something even better.

NFC Review Cards

This is still one of my favourite ways of collecting Google reviews because it’s so simple.

Instead of asking someone to scan a QR code, you simply tap a credit card-sized NFC review card against their phone.

Your Google review page opens instantly.

No typing.

No searching.

No confusion.

They’re perfect for:

• Tradespeople
• Dentists
• Estate agents
• Consultants
• Personal trainers
• Hairdressers
• Restaurants
• Retail businesses
• Networking events
• Exhibitions

I’ve been so impressed with these cards that I’ve produced my own version.

If you’d like to try one yourself, I’m happy to send you one free of charge. Simply cover the postage and packing.

Claim your free NFC QR Google Review Card here.

The important thing isn’t the card itself.

It’s reducing friction.

Every second you save your customer increases the likelihood they’ll actually leave a review.

Strategy 2. Don’t Rely on Memory

I often ask business owners a simple question.

“Who asks your customers to leave Google reviews?”

The answers are usually something like:

• “My receptionist.”
• “My office manager.”
• “One of the engineers.”
• “Me.”

Then I ask another question.

“What happens when they’re on holiday?”

Usually there’s a smile.

Because everyone knows what happens.

Review requests stop.

The reality is that people are inconsistent.

We’re busy.

We forget.

We get distracted.

That’s exactly why systems outperform good intentions every single time.

Enter HighLevel Automation

This is where HighLevel becomes incredibly powerful.

Instead of relying on someone remembering to ask for a review, HighLevel remembers for you.

Imagine a customer has just completed a job.

Job Completed

↓

Wait 2 Hours

↓

Send Thank You Email

↓

Wait 3 Days

↓

Send SMS Reminder

↓

Wait 4 Days

↓

Send WhatsApp Message

↓

Still No Review?

↓

Create Task For Team Member to personally reach out

Every customer receives exactly the same professional experience.

No spreadsheets.

No sticky notes.

No relying on someone’s memory.

Just a consistent process running automatically in the background.

Go Beyond a Single Email

Many businesses stop after sending one review request.

If the customer misses the email, the opportunity disappears.

HighLevel allows you to build far more intelligent workflows.

For example:

• If they don’t open the email, send an SMS.
• If they don’t reply to the SMS, send a WhatsApp message.
• If they still don’t respond, notify a member of staff to make a personal follow-up call.

Everything can happen automatically.

Your team only gets involved when they genuinely need to.

Even Direct Mail Can Become Automated

One feature many HighLevel users overlook is direct mail.

Imagine your customer hasn’t responded to your digital reminders.

Instead of giving up, HighLevel could automatically trigger a professionally printed postcard.

The postcard could include:

• A personalised request.
• A QR code linking directly to your Google review page.
• A handwritten-style design.
• Your branding.

Receiving something physical is unexpected.

Because very few businesses do it, it often gets noticed.

Sometimes old-fashioned marketing still works brilliantly.

Strategy 3. Make Writing a Review Easy

One of the biggest barriers to collecting more Google reviews isn’t that customers don’t want to help.

It’s that they simply don’t get around to doing it.

Life gets busy.

People have good intentions.

Then something else comes along.

The answer isn’t to write the review for them.

The answer is to make writing their own review as easy as possible.

For example:

• Ask while the experience is still fresh.
• Provide a direct review link.
• Keep your request short and friendly.
• Explain that honest feedback really helps your business.
• Thank them for taking the time.

Simple changes like these can dramatically improve response rates while ensuring every review remains authentic.

Avoid Review Gating

There’s another practice that’s worth avoiding.

It’s known as review gating.

Review gating is where a business tries to filter customers before inviting them to leave a public review.

For example, you might ask:

“Were you happy with our service?”

If they answer “Yes”, they’re sent to Google to leave a review.

If they answer “No”, they’re sent to a private feedback form instead.

While this might sound like a sensible way to protect your online reputation, it isn’t something I’d recommend.

Google wants businesses to collect genuine, honest reviews from real customers, not just the customers most likely to leave five-star ratings.

If your review process is designed to selectively encourage positive reviews while discouraging less favourable ones, you risk falling outside Google’s review policies.

A better approach is to invite every customer to leave an honest review.

At the same time, give customers an easy way to contact you directly if they have concerns or feel you’ve fallen short.

Many businesses include a simple message such as:

“We genuinely value your feedback. If there’s anything we could have done better, we’d love the opportunity to put things right. If you’d like to share your experience publicly, we’d also really appreciate an honest Google review.”

This approach is transparent, ethical and much more likely to build long-term trust with both customers and Google.

What About AI?

This is where there’s often confusion.

Some people assume AI should write reviews for customers.

I don’t believe that’s the right approach.

Instead, I believe AI should help your business manage the review process more efficiently.

Think of AI as your digital assistant rather than your customer’s copywriter.

Used in the right places, it can save hours every week while keeping you safely within Google’s review guidelines.

Strategy 4. Reply to Every Review

Collecting reviews is only half the story.

Responding to them is just as important.

Google likes to see businesses actively engaging with customers.

More importantly, future customers notice.

Imagine two businesses.

Business A never replies.

Business B thanks every customer personally.

Which business feels more approachable?

Exactly.

Replies demonstrate that there are real people behind the business.

HighLevel AI Can Help You Reply to Reviews

This is one area where AI really comes into its own.

Rather than writing reviews for customers, HighLevel’s AI Employee can help your business reply to the reviews you’ve received.

Google actively encourages businesses to engage with customer feedback.

The challenge for many business owners is simply finding the time.

That’s where AI can make a genuine difference.

You can create different AI Employees depending on the personality of your business.

For example:

• Professional and corporate.
• Friendly and approachable.
• Luxury brand.
• Fun and humorous.
• Local family business.

The AI can draft thoughtful responses that thank customers for their feedback while maintaining a consistent brand voice.

Instead of spending half an hour every evening replying to reviews, the process can take just a few minutes.

Don’t Treat Every Review the Same

Although AI is excellent at replying to reviews, I’d still recommend using a little human judgement.

For example:

★★★★★

AI replies automatically.

★★★★☆

AI replies automatically.

★★★☆☆

Manager reviews before publishing.

★★☆☆☆

Create internal task.

★☆☆☆☆

Notify business owner immediately.

Launch customer recovery process.

Sometimes your greatest marketing opportunity isn’t a five-star review.

It’s how professionally you recover from a poor experience.

A thoughtful response to a negative review can often impress future customers just as much as a glowing testimonial.

Identifying Which Customer Left the Review

One of the biggest frustrations with Google reviews is that Google doesn’t tell your CRM exactly which customer left the review.

If you’ve ever wanted to automatically trigger a referral campaign or thank-you journey after a review has been published, you’ll know this is the missing piece of the puzzle.

This is where AI becomes genuinely exciting.

Instead of analysing the wording of the review, AI can analyse context.

For example, it could look at:

• The reviewer’s display name.
• Customers who were asked to leave a review during the previous seven days.
• Appointment history.
• Completed jobs.
• Previous conversations.
• Timing.

Based on all of that information, AI can determine the most likely customer who submitted the review.

Will it be right every single time?

Probably not.

But if the AI is able to assign a high confidence score, it becomes possible to automate what has traditionally been a completely manual process.

Imagine receiving a notification like this:

“AI believes there is a 94% probability this review was submitted by Sarah Jones following her boiler installation last Tuesday.”

That level of confidence is often more than enough to automate the next stage of your customer journey.

The Review Doesn’t End With Google

This is something I think many businesses miss.

They celebrate receiving another five-star review.

Then they move on.

I see the review as the beginning of another automation.

Customer Leaves Review

↓

AI Identifies Most Likely Customer

↓

Update Contact Record

↓

Send Thank You

↓

Invite Referral

↓

Request Case Study

↓

VIP Customer Journey

Suddenly your review process becomes much more than reputation management.

It becomes a customer advocacy engine.

Strategy 5. Turn Reviews Into One of Your Most Valuable Marketing Assets

Here’s another mistake I see businesses making.

They celebrate receiving a new Google review.

Then they move on.

That review has far more value than simply sitting on your Google Business Profile.

Every genuine review is another piece of social proof that can be used throughout your marketing.

Think about where your best reviews could appear.

• Your website homepage.
• Service pages.
• Landing pages.
• Email newsletters.
• Sales proposals.
• Social media posts.
• Printed brochures.
• Presentation slides.
• Exhibition stands.
• Recruitment pages.

Your happiest customers have already written some of your best marketing copy.

Don’t leave it hidden away on Google.

Build a Review Library

One idea I recommend to clients is creating a central testimonial library.

Every time a new review arrives, categorise it.

For example:

• Customer service.
• Value for money.
• Speed of response.
• Quality of workmanship.
• Communication.
• Reliability.
• Technical expertise.

Very quickly you’ll build an incredible collection of real customer stories that your marketing team can use throughout the year.

Because they’re genuine customer reviews, they often carry far more credibility than anything your business could write about itself.

The Review Flywheel

When businesses think about reviews, they often see them as the finish line.

I see them as the beginning of another cycle.

Outstanding Service

↓

Happy Customer

↓

Google Review

↓

Business Reply

↓

Website & Marketing

↓

More Trust

↓

More Enquiries

↓

More Customers

↓

More Reviews

↓

Higher Visibility

↓

Repeat

Every review strengthens your reputation.

A stronger reputation generates more enquiries.

More enquiries create more customers.

More customers create more reviews.

Eventually the process develops its own momentum.

That’s what I call the Review Flywheel.

The Role of AI in Modern Reputation Management

Throughout this guide I’ve deliberately separated where I believe AI adds value from where I believe businesses should be cautious.

In my opinion, AI should never replace your customer’s voice.

Their review should always be their own.

However, AI can become an invaluable assistant behind the scenes.

For example, HighLevel AI can help you:

• Automate review requests.
• Choose the best communication channel.
• Send follow-up reminders.
• Draft personalised replies to reviews.
• Analyse customer sentiment.
• Highlight unhappy customers.
• Identify the most likely customer who left a review.
• Trigger referral and customer advocacy campaigns.

Used this way, AI isn’t replacing human interaction.

It’s making your business more responsive, more consistent and more efficient.

Julian Mills’ View

I’ve been helping businesses automate their marketing and customer journeys for over twenty-five years.

One lesson has remained constant.

The businesses with the strongest reputations aren’t always the ones providing the very best service.

They’re the ones with the best systems.

When I first started exploring the possibilities of AI within review management, I was excited by the idea of AI helping customers draft reviews.

However, after researching Google’s latest guidance in more detail, I changed my view.

Today I believe the safest and most sustainable approach is straightforward.

Customers should always write and submit their own reviews based on their genuine experience.

Where AI becomes incredibly powerful is everywhere else.

It can automatically ask for reviews at exactly the right moment.

It can ensure no customer is forgotten.

It can help your business reply consistently to every review.

It can identify trends in customer feedback.

It can even determine, with a high degree of confidence, which customer most likely left a review so your CRM can trigger the next stage of their journey.

For me, that’s where the real opportunity lies.

Not using AI to create reviews.

Using AI to build a complete reputation management system that helps businesses earn more authentic reviews, strengthen customer relationships and generate more referrals.

That’s exactly why I’m so excited about what HighLevel is making possible.

Frequently Asked Questions

How many Google reviews should my business have?

There isn’t a magic number. A steady stream of recent, authentic reviews is generally far more valuable than a large number of older reviews.

Can I ask customers to leave Google reviews?

Absolutely. Google encourages businesses to ask customers for honest feedback, provided you don’t pressure customers or attempt to manipulate the outcome.

Can I offer incentives for Google reviews?

Generally no. The safest approach is to ask for honest feedback without offering rewards or incentives in exchange for positive reviews.

Should every review receive a reply?

Yes. Responding to reviews demonstrates that you value customer feedback and helps build trust with future customers.

Can AI reply to Google reviews?

Yes. This is one of the most valuable uses of AI. HighLevel’s AI Employee can draft thoughtful replies that reflect your brand’s tone of voice, helping businesses respond consistently while saving significant time.

Can AI write Google reviews for my customers?

I wouldn’t recommend it. Customers should always write and submit reviews in their own words. This helps ensure reviews remain authentic and avoids unnecessary risks under Google’s review policies.

Can HighLevel automate review requests?

Yes. HighLevel can automatically request reviews using email, SMS and WhatsApp, send reminders, notify your team and build sophisticated multi-step review workflows.

Can HighLevel identify who left a Google review?

Google doesn’t identify the customer directly. However, AI can often determine the most likely reviewer by comparing names, timing and recent review requests. While this isn’t guaranteed to be 100% accurate, it can provide sufficient confidence to trigger automated customer journeys.

What is an NFC Review Card?

An NFC Review Card is a credit card-sized card containing a small NFC chip. Tapping it against a compatible smartphone instantly opens your Google review page, making it much quicker and easier for customers to leave feedback.

What is the Review Journey?

The Review Journey is my framework for turning satisfied customers into long-term advocates by combining review requests, review replies, CRM automation, referrals, testimonials, case studies and repeat business into one connected process.

Final Thoughts

If there’s one message I’d like you to take away from this guide, it’s this.

Businesses don’t receive more Google reviews because they ask harder. They receive more Google reviews because they build a better review system.

By removing friction, asking at exactly the right moment, automating your follow-up and making it as easy as possible for customers to leave genuine reviews, you can create a reputation strategy that delivers results year after year.

AI has an important role to play.

Not by replacing your customers’ voices.

But by helping your business automate, analyse and manage the entire review journey more effectively.

That’s exactly what we’ve built into our HighLevel Review Journey system.

If you’d like to see it in action, I’d be delighted to show you how it works.

Useful Links

• Claim your free NFC QR Google Review Card
• Learn more about HighLevel and MarketerM8
• Book a discovery call with Julian Mills