AI integration7 min
Your heat pump quote: has the customer seen the numbers?
“It costs too much” is the barrier installers mention most often. Your customer’s energy bills can help you explain a heat pump quote.
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US customers can now book a plumber through AI search, and the request lands in field-service software. What changes for your maintenance business?
This article was generated with AI assistance and may contain inaccuracies — verify critical information. How we use AI.
Recently, water started backing up rapidly through the main drain at the home of Google’s vice president of product for Search. He described asking AI search for help: it compared local prices, checked reviews and suggested who to contact based on the situation. From there, he booked a plumber, who arrived promptly and fixed the problem.
On 4 November 2026, this feature became publicly available, initially in the United States only. People searching for a plumber or another home service may see a booking button alongside businesses in the results. Search Engine Journal and Search Engine Roundtable, two publications covering online search, reported the launch.
The feature is not available in Italy, and no source says whether or when it will arrive. Even so, one detail makes this news relevant to your day-to-day work: where the customer’s request goes once they press that button.
To book, the customer does not need to call the business or find a form on its website. When search finds a business profile that matches the request, a “Book online” button appears on the listing. The request can then go into the company’s service management software, where it manages customers and jobs. As Search Engine Journal explains, access is through field service software or an advertising platform. “Field service” means work that technicians carry out at customers’ premises: the visits and routes you organise every day.
Four partners are listed: two advertising platforms and two software providers for service businesses. A fifth partner is also expected to join. With the first software system, the request comes in like any other online booking. To use this channel, the business needs an active paid subscription and a business profile linked to the software, with the same address listed in both.
The integration with the second system includes a step that matters to anyone scheduling service visits: the time slots offered to customers will come from the technicians’ schedules, and the request will arrive in the software’s inbox. The 4 November press release describes this integration as “coming soon” for eligible US customers.
Search Engine Journal also notes two limitations. The criteria search uses to choose which businesses to show have not been explained, so connecting to a platform does not guarantee that your business will appear. Businesses that use none of the listed platforms have no way to receive direct bookings through this channel.
The technicians’ schedule, which the office uses to plan routes, can therefore also help offer a time slot to a new customer. Availability recorded in the software becomes information that a booking can be based on.
On 4 November, on the other side of the world, seven appliance manufacturers, including Haier, Midea and Hisense, announced that they were integrating their official after-sales services into an AI assistant. These services include booking installations and repairs, diagnosing faults, and checking appliance status and energy use.
A Chinese technology publication reported the announcement on Sohu without explaining how bookings are made. We therefore cannot say that booking works the same way as in the US example. The two announcements do, however, point in the same direction: bringing service requests into a conversation with AI, so customers can start their search for a technician there.
Take a typical business: around ten technicians, private customers and apartment buildings, installations and maintenance. When a new customer asks, “Can you send someone on Thursday afternoon?”, whoever answers the phone handles the request. That person knows the actual availability: who finished earlier than expected, who is still working at an apartment building and who can get to the customer.
That information matters, because a delay can disrupt the schedule for the rest of the day or the next. In this business, though, updates stay in one person’s memory, on a sheet of paper or in a chat. An external system has no up-to-date schedule to check before offering a time slot.
As long as requests come in by phone, the office connects the customer with the technicians’ availability. If the customer wanted to book through an assistant, you would also need a connection to the system collecting the request: in the US example, one of the listed platforms. For an Italian business, this remains hypothetical: there is no indication of when the service might arrive. AI search has been available in Italy and in Italian since October 2025, as reported by MeteoWeb, but home service booking remains limited to the United States.
A shared, up-to-date schedule is already useful today, including for requests that come through your website. Before replying to the customer, someone needs to find a slot you can actually offer. If the office can access that information, every confirmation no longer has to depend on the same person’s memory.
Start by asking what an external system would find if it checked your schedule. The first question is about availability: where is it recorded, and who updates it? If you use shared software that is updated whenever a technician finishes early or falls behind, you already have a foundation to build on. If only the person answering the phone knows, the first step is to make that information accessible to others. An empty slot in the schedule needs to reflect actual availability.
The second decision concerns which jobs customers could book themselves. You can consider work that does not need a preliminary site visit and for which you already know the duration and service area. For example, a routine check or scheduled maintenance may be suitable if you know the system and the work involved. For a fault that still needs diagnosing, you can keep the phone conversation or collect a request for the office to review before confirming. The customer needs to understand when they are booking an appointment and when they are asking whether a slot is available.
You then need to decide who confirms the job before the van leaves. In your business, you can choose which jobs customers can book directly and which need an office check. Write a clear rule for each type of work and share it with whoever handles requests. That way, confirmations follow the same criteria even when someone else answers the phone.
The next step is to connect requests to the schedule. In our field service work, this means collecting requests from your website, sending job confirmations and automatically planning visits based on customer locations, with priority shifts scheduled first. You can find the service here: https://www.gitogi.com/en/field-service/. For integration between systems, see this page: https://www.gitogi.com/en/servizi/integrazione-ai/.
You can take these steps without waiting for changes to search services. Your schedule, confirmation rules and website requests are already part of your work. Connecting them helps you address a practical problem: knowing which appointment you can offer and what the office needs to check before confirming it.
When a business writes to us, we begin with its day-to-day work to understand where we can help. We start with a month of your service work: service reports, invoices and contracts.
If this sounds familiar, write to us and tell us how you work. We’ll start with a month of your service work.
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