Google AI Overviews now sit above the map pack and above every organic result. When a homeowner searches "best plumber in Bergen County" or "HVAC repair near me," Google reads across websites, synthesizes what it finds, and writes a direct answer that names specific businesses. Ahrefs research found that AI Overviews reduced the average click-through rate for top-ranking pages by 58 percent compared to pre-AI Overview search. Seer Interactive reported that brands cited inside an AI Overview earn 35 percent more organic clicks and 91 percent more paid clicks than brands that are not cited. The businesses Google names in that summary are getting the calls. The ones that do not get named are invisible regardless of where they rank on the traditional page.
The question for trades businesses is straightforward. How does Google decide which contractors to name, and what can a plumbing, HVAC, or electrical company do to get picked?
What Google AI Overviews Actually Are
Google AI Overviews are AI-generated summaries that appear at the top of search results for queries where Google determines a synthesized answer is more useful than a list of links. For local service queries, Google reads across its own data sources: Google Business Profile listings, review content, service pages, directory listings, and third-party mentions. It then constructs a paragraph that recommends specific businesses by name.
A Foxxr study tracking 50 home service contractors across 15 trades found that 86 percent appeared in at least one AI Overview. But only 9 out of 50 held a perfect Share of AI Voice score of 100, meaning they were recommended consistently across their entire service area. Three businesses scored between 1 and 9, present in isolated corners of their territory and nowhere else.
Appearing in an AI Overview and being recommended by one are two different things. The gap between showing up and getting named is where most contractors lose.
How Google's AI Decides Which Contractor to Name
Google's AI Overviews use a process called query fan-out. One homeowner question becomes multiple hidden checks across services, locations, reviews, proof of credentials, and business data before the AI constructs its answer. Here is what each check looks for.
Geographic specificity
The Foxxr study found that businesses naming specific places like cities, neighborhoods, and counties consistently outscored those claiming broad regional coverage. A contractor whose Google Business Profile and website say "serving Hackensack, Paramus, and Teaneck" gives Google concrete geographic anchors to match against a search query. A contractor who says "serving all of Bergen County" gives Google nothing specific to grab.
The AI builds its local entity graph from specific data points. "Plumber in Teaneck, NJ" matches a real Google Business Profile with a Teaneck address. "Plumber serving Bergen County" could match anyone, so Google defaults to the businesses it can pin to a specific location.
Service page depth
Google's AI reads individual pages and evaluates whether each one directly answers the question being asked. A single "Services" page listing plumbing, HVAC, and electrical work gives the AI one shallow page to evaluate. Ten dedicated pages, one per service with real detail about what the work involves, pricing context, and service area specifics, give the AI ten chances to quote the business.
Research from Ahrefs shows that only 38 percent of AI Overview citations now come from pages ranking in Google's top 10, down from 76 percent in mid-2025. The AI is no longer simply citing the top-ranking page. It is citing the page that most directly answers the question, regardless of where it ranks.
Review signals beyond stars
The Foxxr study documented one business with 181 reviews and a 4.8-star rating that scored zero in AI visibility. Reviews tell Google's AI that a business is well regarded, but review content matters more than review count. Google's AI reads review text for specific mentions of services, locations, and outcomes. A review that says "Carlos fixed a burst pipe in Teaneck within an hour, fair price, would call again" carries more signal density than "Great service, five stars."
Review breadth across platforms also matters. Google reviews alone are one source. Reviews on Angi, BBB, Yelp, and Facebook are additional corroboration that the business exists and performs consistently. Google's AI sees the same business mentioned across multiple independent platforms and gains confidence.
Third-party verification
A listing on a manufacturer's contractor finder page, like a Bradford White water heater dealer directory or a GAF certified roofer page, tells Google's AI that a third party has verified this business installs that brand. A generic directory listing where anyone can submit their name is self-claimed. The manufacturer link is independently verified. Google's systems have spent years learning to distinguish sources that require something real from sources that accept any submission. The AI inherits that distinction.
Local press coverage, chamber of commerce memberships, and trade association listings serve the same purpose. They confirm the business exists beyond its own website.
What Trades Businesses Can Do Right Now
The businesses winning in AI Overviews are not winning on a different set of signals. They are winning because they built the same local search fundamentals more completely. Here is the action list.
Fix Google Business Profile first
Google's AI trusts Google's own data most. Make sure the business name, address, phone number, and service categories on the Google Business Profile match the website exactly. Fill out every field: services offered, service areas, hours, service area map, photos. An incomplete profile gives the AI missing data to work with.
Build one page per service per area
A dedicated page for "water heater repair in Teaneck" with real content about the service, common problems, expected costs, and the company's approach gives Google a page to cite when someone searches for that exact combination. A single generic "Services" page does not.
Get specific in review requests
Ask satisfied customers to mention what service they received and where they are located in their review. Not every review will comply, but enough will that Google's AI finds geographic and service-specific signal density in the review text.
Earn manufacturer and association listings
If the business installs specific brands, get listed on those manufacturer directories. Join the local chamber of commerce. Get listed on trade association membership pages. Each one is a third-party source that confirms the business is real and active.
Publish answer-first content
Google's AI wants to quote pages that answer questions directly. A blog post titled "How much does it cost to replace a water heater in Bergen County?" with the answer in the first 60 words gives the AI exactly what it needs. Long introductions and keyword-stuffed headers do not.
The Cost of Waiting
Foxxr's research found that nine businesses out of 50 held a perfect AI visibility score. Another 40 appeared in AI Overviews but inconsistently. The businesses building complete local signals now are the ones Google's AI keeps naming as it refines its recommendations. The ones waiting for the technology to settle are the ones whose competitors lock down the recommendation slot first.
Google AI Overviews are not a passing experiment. The click data shows they are already redirecting homeowner attention away from the traditional map pack and organic results. Trades businesses that want to be named when a homeowner asks Google who to call need to treat AI visibility as a core marketing channel, not an afterthought.
FAQ
What is a Google AI Overview?
A Google AI Overview is an AI-generated summary that appears above the map pack and organic results for search queries where Google determines a synthesized answer is useful. For local contractor searches, it names specific businesses based on Google Business Profile data, website content, reviews, and third-party signals.
How does Google decide which contractor to name in an AI Overview?
Google uses a process called query fan-out that runs multiple hidden checks across services, locations, review content, credentials, and business data. Businesses with complete Google Business Profiles, specific geographic targeting, deep service pages, and third-party verification are more likely to be named.
Can a contractor rank in AI Overviews without ranking in the top 10?
Yes. Ahrefs research found that only 38 percent of AI Overview citations come from pages in Google's top 10, down from 76 percent in mid-2025. Google's AI cites the page that most directly answers the question, not necessarily the highest-ranking page.
Why would a business with 181 reviews and a 4.8 rating get zero AI visibility?
Review count and rating alone do not determine AI visibility. Google's AI also evaluates geographic specificity, service page depth, third-party verification, and review content quality. A business with strong reviews but generic geographic claims, shallow service pages, and no external corroboration can score zero in AI search.
How long does it take to show up in Google AI Overviews?
Google does not publish a timeline. Based on contractor data from the Foxxr study, businesses with complete local signals can appear in AI Overviews within weeks of updating their Google Business Profile and service pages. Businesses starting from scratch with incomplete profiles and no third-party mentions may need several months.