This one caught my attention.
A recent study looked at which local businesses Google AI Mode actually recommends.
For plumbers, the businesses AI recommended had a median of 731 Google reviews.
The businesses that ranked in Maps but DIDN’T get recommended?
134 reviews.
That’s a 5x+ difference. 🤯
Even crazier: 32% of the businesses Google AI recommended weren’t even in the top 20 on Google Maps for the same search.
Now, that doesn’t mean reviews alone caused the recommendations.
But it’s another pretty big sign that the game is changing.
Your reviews aren’t just helping someone decide whether to call you anymore.
They’re becoming part of the data AI uses to decide who it recommends in the first place.
For local businesses, consistently getting real customer reviews is starting to look less like “reputation management”…
and more like distribution.
This is exactly why we’re so focused on automating that process at Qrese.
Met a guy at a coffee shop the other day who runs a small plumbing company.
We got talking about Google and he told me it took him 7 years to go from basically invisible to ranking #1 on Google Maps in his market.
And he did it the boring way.
His wife handled the office, followed up with customers, sent review requests manually, kept everything moving.
No growth hacks. No fancy software.
Just years of consistently doing the work.
That stuck with me because a lot of local businesses are still doing the exact same thing today.
The difference now is you can automate a huge chunk of it.
Tools like Qrese can automatically ask every customer for a review, follow up, and keep the process running without someone having to remember every single time.
Does that magically guarantee you #1 on Google in 3 months? Of course not.
But it can help you build reviews and local visibility way faster than doing everything manually for 7 years.
Sometimes the “secret” is just doing the boring stuff consistently.
Automation just makes consistency a lot easier.
If you want to build that same kind of review momentum a whole lot faster through automation, check out Qrese.
Automate the review requests, follow-ups, and consistency without someone having to do it manually for years.
qrese.com
Still can’t get over the A1 Garage Door story.
A garage door company getting acquired for around $2B is crazy enough.
But the part I keep coming back to is that they didn’t have some secret product.
They just built really good machines for:
• Getting customers
• Getting reviews
• Recruiting technicians
• Training people
• Tracking every number
• Opening new markets
• Buying other operators
Then they kept repeating it.
I ended up putting together an 11-page breakdown of exactly how they scaled.
If you want it, comment A1 and I’ll send it over.
Just follow me so I can DM you.
KKR is reportedly buying A1 Garage Door Service for around $2 BILLION.
A garage door company.
For $2 billion.
That’s wild.
Tommy Mello started A1 in 2007 with about $50k in debt. Today they’re doing $200M+ in revenue and operating across roughly 20 states.
And the interesting part is HOW they got there.
They became obsessed with the boring stuff:
• Own Google
• Build a killer brand
• Recruit + train great technicians
• Create systems for everything
• Adopt tech and automation early
• Track the numbers relentlessly
• Acquire good local operators and repeat the playbook
No revolutionary product.
They just got ridiculously good at running and marketing a local service business.
There’s a huge lesson in that.
You don’t always need to invent the next big thing.
Sometimes you just take an ordinary business and execute better than everyone else.
I went down the rabbit hole on exactly how A1 did it and turned it into:
The $2 Billion Garage Door Playbook — 11 page PDF
It breaks down their Google strategy, KPI funnel, recruiting machine, systems, acquisitions, and the growth flywheel behind the whole thing.
Want a copy?
Like this post + comment A1 and I’ll DM it to you.
Just make sure you’re following me so I can actually send it.
@acwarone More reviews, more recent reviews, and a steady review velocity are the primary ranking factors, but review responses improve context for people reading the reviews and AI models crawling through the reviews.
Wild how many local businesses still don’t respond to their Google reviews.
That’s basically free real estate.
A good reply shouldn’t just say “Thanks!”
Mention the service they used. Mention the city. Mention the specific product when it makes sense.
“Glad we could help with your water heater replacement in Arlington!”
Those are SEO keywords.
Your services. Your products. Your location.
You’re already taking the time to respond, so you might as well naturally reinforce what you do and where you do it.
You already earned the review.
Get as much value out of it as you can.
If you want to save time replying to reviews while also squeezing more local SEO value out of each one, check out Qrese.
It can automate review responses using your services, products, and location keywords.
qrese.com
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