How AI Search Is Changing How Homeowners Find Contractors

Most contractors assume the same rules still apply: good reviews, a decent website and rankings used to be enough, and for a long time, it was. But AI runs a different test entirely.

Key Highlights

  • AI now influences 22% of homeowner service calls, prioritizing content quality and technical optimization over traditional rankings

  • Implementing schema markup and creating a library of detailed, question-answering content are key strategies for AI recognition

  • Early adopters of comprehensive online content and structured data are gaining a significant advantage, reinforcing their visibility in AI recommendations

A homeowner's pipe bursts at 9:00 PM. She asks Siri who to call. One name comes back. She calls it.

That's it. She doesn't scroll. She doesn't compare five websites. One answer, one call.

I've spent the last two years inside the operations of contractors across the country. And the shift I'm seeing isn't coming. It's here.

ChatGPT, Perplexity, Claude, Google's AI Overviews, Siri, Alexa... they're answering the questions your customers used to type into a search bar. A 2026 Scorpion national study put a number on it: 22% of homeowners now go to ChatGPT first, not Google, when they need a contractor.

The contractors showing up in those answers aren't the biggest companies in the market. Most of them aren't spending more than their competitors either. They've set a few specific things up differently on their websites, and those differences are now doing more work than years of Google rankings ever did.

AI recommends roughly 1.2% of local businesses. Think about what that means for the other 98.8%.

How AI Picks Who it Recommends

Most contractors I talk to assume the same rules still apply: good reviews, a decent website and rankings they've been building for years. That was enough. Well, for a long time, it was.

AI runs a different test entirely.

When a homeowner asks ChatGPT or Perplexity who to call, there's no star rating being tallied. The AI has built an internal picture of which businesses it recognizes as genuine authorities in a given trade, in a given place. It assembles that picture from every source it can reach. Most contractor websites give it almost nothing to work with.

BrightLocal's 2026 Local Consumer Review Survey found 45% of consumers now use AI tools to find local services. A year ago that figure was 6%. That's not a gradual shift, that's a market rewriting itself in twelve months.

Voice search sharpens the problem. Siri and Alexa don't hand back a list. They say one name. If it isn't yours, the call goes to someone else and you never knew it existed.

What the Visible Contractors are Doing Differently

The contractors getting recommended have websites that answer questions. Real ones. "How much does a water heater replacement cost?" "What's the difference between a tankless unit and a standard one?" "Should I repair this or replace it?" AI cites the businesses that answer plainly and specifically. Those are the ones Siri reads back to someone standing in a flooded basement at 9:00 PM.

Behind the scenes, those same contractors have schema markup on their sites. But most don't. It's code invisible to anyone visiting the page but readable by machines, telling the AI exactly what the business does, where it works and what services it covers. Without it, the machine infers what it can from whatever text it finds. It often hallucinates or gets it wrong. With it, there's no ambiguity.

The deeper pattern is content volume and depth. A growing library of articles and service pages covering the trade from every angle a homeowner might approach it. Pillar pages on core services, supported by a high-quality cluster of content answering every question a customer asks before picking up the phone. Google ranks that library in traditional search. AI draws from it when building recommendations. The contractors I've seen break through in AI results have given AI enough material to feel confident recommending them.

Semrush data shows traffic arriving from AI recommendations converts at 4.4 times the rate of standard search. The homeowner who found you through ChatGPT has mostly made her decision before she calls.

The Compounding Problem

AI recommendations don't reset each week. The businesses being cited today are building a track record inside these models. AI reinforces what it already recognizes. Early movers widen their lead every month someone else waits.

Whitespark's Q2 2025 research found Google's AI Overviews appear in 68% of local business searches (and it’s increasing), sitting above the traditional results before most homeowners scroll far enough to see who else ranked.

Go back to 2012. Google Business Profile was new and most contractors didn't see the point of claiming their listing. The ones who did are still benefiting from that head start because early signals compound in Google's systems over years. The ones who waited spent most of a decade trying to close a gap that just kept widening. This AI visibility shift is running on the same logic, only faster.

What to do This Week

Open ChatGPT and type what a homeowner in your area would type. "Best plumber in [your city]." "Who do I call for emergency HVAC repair near [your town]." See who comes back. If your name isn't there, that's a job that went somewhere else this week.

Read your own service pages like a customer would. Ask whether they answer anything a homeowner genuinely wants to know, or whether they describe your services the way a sales brochure would. AI ignores the latter.

Then look at your content library honestly. A handful of posts from a few years back won't register. A growing body of content covering your trade from every angle a homeowner approaches it... that's what these systems are drawing from when they decide who to recommend.

The US home improvement and maintenance market runs to more than $600 billion annually, according to Harvard's Joint Center for Housing Studies. That market has a new front door, and it opens inside a phone, a smart speaker, and a voice assistant on a kitchen counter. The contractors who are already on the other side of it are building something that gets harder to displace every month.

Invisibility, as it turns out, is expensive.

About the Author

Alastair Macartney

Alastair Macartney is the founder of Strategyc, a company that builds AI search and content systems for local service contractors across plumbing, HVAC, roofing, and electrical. A former British Army officer and Afghanistan veteran, he has spent two years auditing how AI search platforms recommend, or more often ignore, local service businesses. To learn more visit www.strategyc.io

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