Local SEO
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Google's AI Now Writes a Summary of Your Reviews. Here Is How BC Contractors Get It Right.
By Built Tough Marketing
A google ai review summary is a short description of your business that Google's AI writes for searchers by reading your reviews, and it is now appearing in Google Search ads under a heading that reads "What customers love." You do not write it and you cannot edit it. For a contractor in Chilliwack or Surrey, that means the words your customers type into a review have quietly become the copy that sells the next job, and a wall of five-star reviews that only say "great job, thanks" gives the machine nothing to work with.
TL;DR
Google is testing an AI-written block in search ads headed "What customers love," labelled as generated from your ratings and reviews.
The star count is no longer the whole asset. The sentences inside the reviews are what the AI has to summarize.
Reviews that name the job, the trade and the town give Google something to repeat. Reviews that say "thanks" give it nothing.
Businesses with similar names are a real risk in the Fraser Valley, where the same summary can end up describing the wrong company.
The fix is not more reviews. It is changing what you ask customers to say, and checking what Google is already saying about you.
What changed, in plain language
For roughly a decade, the job was simple. Get the number up. Forty reviews beat twelve, a 4.9 beat a 4.6, and nobody thought much past that.
Google has now started running an AI over review text and publishing the result as a short summary shown to people who are searching. It carries a small label saying it was generated from the ratings and reviews. It has been spotted on desktop and mobile, inside sponsored results.
That is a different job. A rating is a number a machine can count. A summary is a machine reading sentences and deciding what your business is good at. If your reviews contain no sentences worth reading, the summary is generic, and generic does not win a job against the shop down the road whose customers wrote specifics.
Why this matters more to trades than to most businesses
A restaurant gets detailed reviews without asking, because describing the meal is the fun part. Nobody enjoys describing a furnace replacement. A happy homeowner in Abbotsford taps five stars, types "great crew," and goes back to their evening. Multiply that by three years and you have an excellent rating attached to a business the AI cannot describe.
The same-name problem is a Fraser Valley problem
Drive from Hope to Langley and count how many companies share a first name, a family name, or the word "Valley," "Fraser," "Mountain" or "Pacific." Trades naming conventions collide constantly.
When a summary is assembled from ratings and review data, similar names are exactly where a machine gets confused. That is not a theoretical risk. Search marketers flagged it the week the feature appeared, because a summary pulled from the wrong business means the ad you are paying for is carrying somebody else's reputation. It can cut both ways, and neither way is good.
What to do about it:
Search your own business name on your phone, then search your name plus your main service and town, for example "plumbing Chilliwack."
Look at any summary text that appears and ask whether it actually describes your work.
If your business name is close to another local outfit, make sure your Google Business Profile category, service area and description are precise enough that there is no doubt which company is which.
How to get reviews the AI can actually use
You are not asking for more reviews. You are asking for different ones. The change is a single sentence in how you ask.
Stop asking for a review. Ask what happened.
"Leave us a Google review" produces "great job." Try this instead, in the text you send after the invoice:
If you have thirty seconds, it really helps us if you mention what we did and where. Even one line.
That prompt turns "great job" into "replaced our hot water tank in Abbotsford in one afternoon and cleaned up after themselves." One is a rating. The other is a sales pitch that keeps working.
Get the trade and the town in there
You want your reviews to contain the same language homeowners use when they search. Roofing, HVAC, plumbing, electrical, excavation, painting, concrete, landscaping. Chilliwack, Abbotsford, Mission, Surrey, the Fraser Valley. Not stuffed in and not scripted, just present, because a customer naturally says where they live and what you did when you ask them to.
Read your last twenty before you ask for a twenty-first
Open your profile and count how many of your last twenty reviews name an actual job. If it is fewer than five, the problem is not volume. Fixing your ask is worth more than another six months of collecting.
Keep the ask compliant
Google spent 2026 aggressively enforcing its review rules, and asking on your own premises or on your own device is not safe ground anymore. Send the request as a text or email after the job closes, with a direct link, and let the customer write it at home on their own time. That also happens to produce better sentences than a driveway ask ever did.
Frequently asked questions
What is a Google AI review summary?
It is a short description of a business that Google's AI generates by reading that business's ratings and reviews, then displays to searchers. Google labels it as AI-generated. Business owners do not write it and cannot edit it directly.
How do I change what Google's AI says about my business in BC?
You change the source material. The summary is built from review text, so the practical lever is getting customers to describe the actual work and the town in their reviews instead of leaving a bare rating.
Do google reviews still help local SEO for contractors in the Fraser Valley?
Yes, and now in two ways. Review count and rating still feed local ranking, and review content now feeds what Google tells searchers about you. The second part is new and almost nobody in the trades is working on it.
Can Google mix up my reviews with another company with a similar name?
It is a known risk, particularly where several local businesses share similar names, which is common across BC trades. Check what appears when you search your own name, and keep your Google Business Profile details precise so there is no ambiguity about which company you are.
The bottom line
Your review count was never the asset. The words were, and now a machine is reading them and repeating them to people deciding who to phone. That is not a reputation project you do once. It is a system that fires after every closed job and gets you sentences you can use, in your ads, on your site, and inside answers you do not control.
If you are paying for Google Ads while your review text is doing nothing for you, that is a gap worth closing this month. Built Tough builds the follow-up that asks the right question after every job, and the ad account that puts the answers to work.
Ready to put this to work?
Book a free, no-pressure marketing audit. We’ll show you exactly where the jobs are leaking, and how to fix it.
