Get Your Contracting Business Recommended by AI Search Engines

Target keywords: ai search optimization, how to rank in ai overviews, answer engine optimization

A homeowner planning a kitchen remodel used to open Google and scroll. Now a growing number of them open ChatGPT and type something closer to a question they’d ask a friend. Who should I hire for a kitchen remodel in Newburyport? What should I ask a contractor before signing?

There’s no ad slot in that answer. You can’t buy your way into it. The model pulls from what it can find about your business across the web and assembles a recommendation from that, which means the work of getting named happens long before the homeowner types anything.

Less than the headlines suggest, and that’s worth understanding before you spend money on it.

Local and transactional searches trigger AI Overviews far less often than informational ones. Analysis across millions of queries puts shopping and transactional searches at the bottom of the range, somewhere around 13 to 14%. Health and home improvement questions sit near the top. So “how much does a roof replacement cost” is very likely to produce an AI summary. “Roofer near me” often still returns a map pack and blue links.

That split matters for where you put your effort. If you sell to homeowners who search with intent, the AI Overview is a smaller piece of your picture than an agency pitching you on it might let on.

The bigger shift is happening somewhere else.

OpenAI reported 900 million weekly active users as of February 2026, more than double the figure from a year earlier. A meaningful share of those conversations are people working through a decision. Hiring a contractor is exactly that kind of decision, and it’s one homeowners are nervous about, so they ask questions before they call anyone.

We started seeing this in client data before we saw it in any industry report. One North Shore remodeler’s CRM showed AI search as the single largest lead source for a month, ahead of Google search, social, and word of mouth. A design-build client tracked two inquiries in one month that came in through AI assistants, and their analytics showed sessions from ChatGPT had doubled over the prior month.

Small numbers. But they were zero a year ago, and every one of them was a homeowner who arrived already convinced, because a machine had vouched for the company before they clicked.

Your Google Business Profile has to be complete and accurate. Categories, services, service areas, hours, photos. This is the single richest structured source of information about a local business, and it’s the first place models look. A half-filled profile gives them almost nothing to work with.

Your name, address, and phone number have to match everywhere. A contractor listed as “Smith Construction” in one directory, “Smith Construction LLC” in another, and “Smith Contracting” on a third looks like three shaky businesses instead of one solid one. Citation cleanup is unglamorous and it moves the needle more than most content work.

Reviews carry disproportionate weight. Volume, recency, and what customers actually write in them. When a review mentions the specific service and the town, it’s doing double duty, feeding both your reputation signals and the model’s understanding of what you do and where.

We watched a roofing client move from 1.2% to 14.9% AI answer visibility across tracked homeowner questions in thirty days, with brand mentions going from 54 to 259. The work was citation cleanup, review generation, and rewriting service pages around real questions. Nothing exotic.

It overlaps more than most people selling “answer engine optimization” want to admit.