Your Customers Are Already Asking AI for a Contractor. Here's What They're Asking.
A year ago, only 6 percent of homeowners used AI to find a local service pro. Today it's 45 percent. One in three homeowners under 45 used an AI assistant in the last 90 days to find someone for a home service job.
That number is climbing fast. The homeowner who two years ago typed "plumber near me" into Google is now opening ChatGPT and typing something like: "I have a slow drain in my kitchen sink, I tried Drano with no luck, I have a 1980s home in East Hill - can you recommend a plumber who handles drain cleaning and is good with older homes?"
Different question. Different answer engine. Different way of deciding who gets the call.
This is AI generative search. Right now, about 78 percent of local contractors are completely invisible on it. The ones who do show up are earning 35 percent more clicks than competitors at the same Google rank - because the AI is doing the recommending and the homeowner is calling them directly.
Here's what your customers are asking, where they're asking it, and what actually gets a contractor cited in the answer.
What Is AI Generative Search for Local Contractors?
AI generative search happens when a homeowner asks an AI assistant - like ChatGPT, Google AI Overviews, or Perplexity - for a contractor recommendation instead of typing a keyword into a search engine. The AI reads their question, processes available web data, and generates a specific answer that often includes a short list of recommended contractors. The homeowner acts on that list without ever scrolling through traditional search results.
Where Homeowners Are Actually Asking
The big four AI tools for local service search look like this.
Google AI Overviews and AI Mode. Built into Google search results. When a homeowner searches for a contractor, Google often answers the question above the regular results. The answer pulls from Google's regular search index plus Google Business Profile data.
ChatGPT. The biggest by user count. Pulls from Bing's search index, the open web, and its training data. Homeowners often start with broad questions and follow up with location specifics.
Perplexity. The most citation-heavy of the four. Treats every answer like a research project. Lists its sources at the bottom of every response. Pulls in real time from the open web. Popular with younger, more research-driven homeowners.
Gemini. Google's own AI assistant. Blends Google Search results with Gemini's training. Tied into Android phones and the Google ecosystem.
A contractor cited inside Perplexity might be invisible inside ChatGPT, and the other way around. Different tools. Different source piles. Different answers to the same question.
What the Questions Actually Look Like
The questions homeowners ask AI are nothing like what most contractors expect. They're long, specific, and packed with context the AI uses to narrow its recommendation.
Compare a Google search to an AI search for the same job.
Google search: "plumber Pensacola."
AI search: "My kitchen sink has been draining slow for a week and I tried Drano with no luck. I have a 1980s home in East Hill, Pensacola. Can you recommend a plumber who has good reviews for drain cleaning and handles older plumbing? I'm available Wednesday or Thursday."
That single AI query carries the trade, the symptom, the prior attempt, the neighborhood, the home age, the type of work needed, the review requirement, and the homeowner's schedule. The AI uses all of it to pick a short list.
The contractors who show up in that short list are the ones whose online presence answers all those layers at once. Service area covered. Trade specialty named. Reviews mentioning drain cleaning specifically. A website page that talks about older homes. A Google Business Profile that says they're open Wednesday and Thursday.
The contractors who don't show up are the ones whose online presence is a phone number, an "about us" page, and a single list of services with no detail.
Why This Matters More Than It Sounds
Three numbers from the last 18 months tell the story.
- 45% - That's the share of consumers now using AI to find local services. A year ago it was 6 percent.
- 78% - That's the share of local-services brands invisible to AI answer engines today. Most contractors are in that 78 percent.
- 31% - That's how much organic traffic a roofer lost on one query after AI Overviews started showing up in the results, even though he kept his number one ranking. His rank stayed at number one. The whole search result reshaped around it, and the AI answered the question before the homeowner needed to click.
Old SEO math said "if I rank, I win." That math doesn't hold anymore. The page can still rank and still lose the click if the AI gave the homeowner enough to act on without scrolling. If you want to understand how Google's AI search guidelines are reshaping this, we've broken it down in plain terms.
What Gets a Contractor Cited
AI answer engines pull from the same web data pile that fed regular search for the last 20 years. Crawlable websites. Structured data. Google Business Profile information. Reviews. Mentions in trusted third-party sources. The fundamentals are still the fundamentals.
What changed is which fundamentals matter most and how the AI evaluates them.
A complete and active Google Business Profile. Active, complete GBPs get cited about 70 percent more often in AI local recommendations than half-finished ones. The category, services list, photos, hours, service area, and recent posts all feed the AI's confidence that you exist and match the query.
Specific service pages, not generic ones. A "roofing services" page is one page that has to compete with every other "roofing services" page in your market. A "roof replacement on 1970s asphalt shingle homes in Pensacola" page is a page the AI can cite specifically when a homeowner asks about that situation. Specific beats generic every time. This connects directly to what we mean when we talk about building a content strategy that actually works for contractors in 2026.
FAQ content written in homeowner language. FAQ-style content with structured data is about four times more likely to be cited inside an AI Overview, because the AI lifts the answer almost verbatim from the page. Write the questions the way a homeowner would ask them. Write the answers in your own voice.
Reviews mentioning specific services and locations. A pile of generic "great service" reviews is good. A pile of reviews mentioning "drain cleaning in East Hill" and "tankless water heater install in Cordova Park" is gold. The AI reads review language to confirm what you actually do and where. The way you ask for reviews matters here - a prompted review tends to be more specific than one left without guidance.
Real third-party mentions. Industry directories, local press, supplier sites, trade association listings. AI engines weight third-party mentions for trust the same way Google has for years. Buying junk mentions is still a waste. Earning real ones still works.
What Doesn't Matter
A short list of things vendors are selling that the major AI engines have publicly said they don't use.
You don't need an llms.txt file. You don't need to "chunk" your content for AI. You don't need a separate AI optimization package layered on top of a working SEO program. Google said this directly in their AI optimization guide. The other major engines line up with the same position.
If a vendor is selling you a six-figure "AI search" service that doesn't start with your website, your Google Business Profile, and your review system, walk away.
The Bigger Picture
The contractors who win AI generative search over the next two years are the ones who already had a strong foundation when this shift started. A real website with specific service pages. A complete Google Business Profile. A steady review pipeline. Content written by someone who actually does the work.
That has always been Footbridge's bet, and it's still the bet. Our core marketing program is $249 a month, no contracts, with a 90-day money-back guarantee. That covers your website, your SEO, your Google Business Profile, content additions every month, and a 12-month marketing plan updated every 30 days.
We build the foundation AI engines pull from. You stay on the job.
If you want to know whether your current setup is even visible inside AI search results, let's talk. We'll pull up your Google Business Profile, your website, and a couple of AI tools and show you what a homeowner asking for your service actually sees.
Frequently Asked Questions
Yes - but it's no longer sufficient on its own. AI answer engines pull heavily from the same signals that drive Google rankings: a strong website, active Google Business Profile, and quality backlinks. Ranking well still feeds AI visibility. The problem is that a contractor can hold a top ranking and still lose the click because the AI answered the homeowner's question before they needed to scroll. The goal now is to rank AND get cited in the AI's answer, which requires more specific content than a generic top-10 ranking used to demand.
The easiest test is to do what a homeowner would do. Open ChatGPT, Perplexity, or Google in AI Mode and type a realistic question for your service - something like "Who's a good HVAC technician in [your city] for older homes?" If your business doesn't appear, try a few variations. Also check your Google Business Profile insights for any changes in how customers are finding you. Declining direct search traffic alongside stable or growing GBP views can indicate AI Overviews are intercepting queries before people click through.
Fully complete your Google Business Profile - every field, accurate hours, service area set properly, recent photos, and your services listed with real descriptions. This is the single highest-leverage move for AI local search visibility and most contractors have gaps somewhere. After that, work on getting reviews that mention specific services and neighborhoods rather than just generic praise. Both are changes you can start this week that affect how AI tools evaluate and cite your business.
No. Google has stated directly that there is no separate technical requirement for AI search optimization beyond what good SEO already covers. If a vendor is pitching you an "AI layer" that bypasses or replaces foundational work on your website, GBP, and reviews - that's a red flag. What changes with AI search is the emphasis on specificity: more detailed service pages, more descriptive reviews, FAQ content written the way homeowners actually ask questions. That work belongs inside a well-run marketing program, not stacked on top of one as a separate product.
Not replace - reshape. Google itself is integrating AI into its search results through AI Overviews and AI Mode, so the line between "Google search" and "AI search" is already blurring. For local contractor searches, AI tools are becoming an increasingly common first step, particularly among homeowners under 45. The contractors who treat AI visibility as separate from their SEO strategy are likely to end up behind. The smarter move is to build a presence that works across both - which comes down to the same strong fundamentals either way.
About Aaron O'Hanlon
Aaron O'Hanlon is the CEO and Co-Founder of Footbridge Media, a digital marketing agency, specializing in the contracting industry. It is his mission to create awareness of marketing online to the home improvement industry and to educate, inform, and assist contractors in taking over their own online presence.
