How Wigan Electricians Can Use AI to Automate Review Requests After Every Job
You're a Wigan electrician. You finish an EICR in Pemberton, the landlord is satisfied, payment is made, and the van pulls away. The landlord had a genuinely good experience. Fast, tidy, professional certificate issued same day. But two weeks later, when someone in Pemberton searches for an electrician and looks at Google reviews, there's no mention of this job. Because no one asked. The landlord wasn't going to leave a review unprompted. He's got six other properties to think about. The moment passed.
That pattern repeats itself dozens of times a year. Every satisfied customer who doesn't leave a review is a missed opportunity to show new customers what working with you is like. In local search, reviews are one of the strongest signals Google uses to decide who appears at the top of results. Electricians with 50 reviews outrank electricians with 5, even if the quality of work is identical.
The fix isn't asking everyone awkwardly at the door. It's automating the request so it goes out without you having to think about it.
Why Google Reviews Matter for Wigan Electricians
When someone in Wigan searches "electrician near me" or "emergency electrician Wigan," Google's local results show a map and a list of businesses. The businesses that appear in the top three get the majority of clicks. Reviews are a direct factor in whether you appear in those top three results.
A business with 15 reviews averaging 4.8 stars will outperform a business with 3 reviews averaging 5 stars, because volume signals trustworthiness to Google's algorithm. Reviews also appear in Google Ads and on your Google Business Profile, which means even customers who find you through other means check your reviews before calling.
The electricians ranking well in Leigh and Hindley right now typically have 40 or more Google reviews. If you have fewer than 20, getting more is one of the highest-return things you can do for your business.
The Awkwardness of Asking in Person
Most electricians know reviews matter but still don't have a system for collecting them. The in-person ask feels uncomfortable: you've just taken someone's money, and now you're asking them for another favour. Some customers feel put on the spot. Others intend to leave a review but forget.
The answer is to take yourself out of the moment entirely. An automated message sent an hour after job completion removes the awkwardness completely. The customer is at home, the job is fresh in their mind, and the message arrives with a direct link to your Google review page. They don't have to search for you. They tap the link and leave a review in 90 seconds.
Setting Up Automated Review Requests with Jobber and Zapier
Jobber has built-in client notification features. When you mark a job as complete in Jobber, it can automatically trigger a follow-up message to the customer. You write the message once and it goes out after every completed job.
If you're not using Jobber, Zapier connects your existing tools. A basic Zapier flow might be:
- Trigger: job marked as complete in Tradify (or a Google Sheet row updated, or a QuickBooks invoice marked as paid)
- Action: send an SMS via a service like Twilio or TextMagic with your review request message and link
This setup takes about 30 minutes and runs automatically from then on. Every completed job generates a review request without you doing anything.
Using ChatGPT to Write Review Request Messages That Feel Human
Generic "please leave us a review" messages get ignored. The more personal the message feels, the more likely the customer is to act on it.
Use ChatGPT to write a set of review request templates that are warm, brief, and specific to the type of job. Here's an example prompt:
"Write a short SMS review request message from a Wigan electrician to a homeowner after completing a consumer unit upgrade. The message should be friendly, thank them for the job, mention that reviews really help small local businesses, and include a placeholder for the Google review link. Keep it to two sentences. No jargon."
The output might be something like:
"Hi [Name], thanks again for having us today to sort the consumer unit. If you have 60 seconds, a Google review would mean a lot to a small local business: [link]. Hope the new board serves you well."
That's a message that feels personal and human. Write three or four variations for different job types (domestic rewire, EICR, EV charger, fault-finding) and rotate them.
For longer email follow-ups to landlords or property managers, ChatGPT can write a more detailed version that references the specific work done and includes the review link alongside the digital certificate.
Responding to Reviews with AI
Once reviews start coming in, you need to respond to them. Google rewards businesses that engage with their reviews, and potential customers read your responses when deciding who to call.
Responding to every review individually takes time if you're trying to make each one sound genuine. ChatGPT can help. Give it the review text and ask it to write a response that thanks the customer by name, references something specific from the review, and reinforces your local presence:
"Write a response to this Google review for a Wigan electrician: 'Great service, sorted our tripping circuit same day, really tidy worker.' Keep it short, warm, and mention we cover the Wigan area."
The response will be ready in seconds. Read it, adjust if anything doesn't sound right, and post it.
Handling Negative Reviews Professionally
Negative reviews happen. How you respond matters more than the review itself. A calm, professional response to a complaint shows future customers that you handle problems properly. A defensive or aggressive response does serious damage.
If you receive a negative review and don't trust yourself to write a measured response in the moment, use ChatGPT. Give it the review and ask for a professional, concise response that acknowledges the concern, takes responsibility where appropriate, and offers to resolve it offline. Keep the response brief and avoid getting into specifics in public.
This approach defuses the situation and shows anyone reading that you're professional even when things go wrong.
A Simple Review Generation Target
If you're completing ten jobs a week and sending a review request after every one, converting even 20% of those into reviews means two new Google reviews a week. That's over 100 reviews a year. In twelve months, an electrician working across Orrell and Standish who's currently invisible in Google results could be one of the most reviewed electricians in the area.
The only thing required is the automated request going out after every job. Set it up once and it runs without any ongoing effort.