

Homeowners now ask an assistant who to call.
who to call
Water is spreading across the kitchen floor and the first thing many people do is ask ChatGPT what to do and who to ring. We run ChatGPT Ads for plumbing companies so your business is in that answer and in the placements beside it. ChatGPT reports a billion weekly users, 20% of them with commercial intent.
Tell us a little about your brand and we'll be in touch within 24 hours to lock in a time.

FOUR WORKSTREAMS
Four workstreams behind ChatGPT ads for a plumbing business.
a plumbing business
The prompts homeowners actually type, placements inside ChatGPT bought against real service demand, the local evidence that makes an assistant name your plumbing company, and tracking that ends at a booked job.
Prompt and demand mapping
Placements inside ChatGPT
Local evidence and answer visibility
Tracking to the booked job
What a homeowner types before they call a plumber.
Assistant questions are longer and more specific than search terms. People describe the problem — a running toilet, a smell from the drain, a water heater that gave up on a Sunday — and ask what it will cost and who nearby does it. Between 70% and 80% of plumbing service calls are urgent, so these conversations convert fast when your plumbing business appears in them.
We map that prompt set by service and by season for the towns you cover, separate emergency demand from planned work such as bathroom installations and repipes, and use it to decide where advertising is worth buying and where content will do the job on its own.
- Prompt sets built per plumbing trade and per town
- Emergency demand separated from planned installation work
- Seasonal spikes such as freeze events planned for in advance
- Commercial and property-manager questions tracked apart
70-80%
of plumbing call-outs are urgent rather than planned
20%
of ChatGPT's weekly users show commercial intent
Buy the surface while it is still cheap.
OpenAI's advertising products are young and the field is filling quickly. Active advertisers rose from 2,585 to 3,770 in a single week once the minimum spend came down, and Adthena counted 7,378 distinct advertisers in one week at a 0.50% click-through rate. Local service companies are barely represented in that number.
We set the campaigns up properly for a service business: coverage zones that match your drive times, budgets weighted to the hours your phones are answered, and copy that names the job and the response time instead of talking about quality and trust like every other plumbing advert.
- Campaigns structured by trade, urgency and coverage zone
- Budgets weighted to the hours you can actually answer
- Copy that names the trade, the coverage zone and the response time
- Spend coordinated with your existing search campaigns
7,378
distinct advertisers counted on ChatGPT in a single week
46%
week-over-week growth in active advertisers after the spend floor dropped
Assistants repeat whatever the internet agrees on.
When someone asks for a plumber in your town, the assistant assembles an answer from your Google Business Profile, your reviews, your trade pages and the directories that list you. Consistent details, real recent reviews and plainly written service content decide whether your plumbing company is named or skipped, and that visibility costs nothing per click.
We fix that evidence base first, alongside our AI search visibility and SEO teams, so the paid placements land next to an answer that already mentions you. It is the cheapest half of this work and the half most companies skip.
- Google Business Profile, categories and coverage zones rebuilt
- Company details made consistent across local directories
- Trade and pricing content written in plain language
- Answer visibility tracked across assistants over time
129,000
plumbing businesses competing across the US
742,000
people employed by those plumbing companies
Reported in booked jobs, not clicks.
A plumbing lead is only worth what it books. 2026 benchmarks put plumbing and HVAC lead-to-booked-job at 41.5% with an average ticket of $2,208 and closed return on ad spend of 2.72x, which is the arithmetic we report against rather than impressions or click volume.
Because assistant reporting is still coarse, we build measurement that does not depend on it: tracked numbers, attribution on every form, and one view across channels from our analytics team. You get a written monthly read of what a ChatGPT-sourced job actually cost.
- Call tracking installed and verified before launch
- Cost per lead and per booked job reported by trade
- Assistant-sourced enquiries separated from search and social
- A written monthly read, not a dashboard link
41.5%
of plumbing leads that convert into a booked job
$2,208
average plumbing job ticket in the 2026 benchmark
average plumbing cost per lead on non-branded Google Ads in 2026
average plumbing job ticket in the same benchmark
Written read on calls, leads and booked jobs
Ad accounts, profile, content and data in your name
We made the difference for those brands
01 — The challenge
Paid search keeps getting dearer for the same plumbing jobs.
Every plumbing company in your county is bidding on the same emergency terms. SearchLight tracked $14.6M of non-branded plumbing Google Ads spend across 524 contractors and found an average cost per lead of $183, and the average plumbing click now runs $10.49. Meanwhile a growing share of homeowners never open a search results page at all.
“A customer told us the chatbot recommended someone else. We had never even heard of them.”
The audience is not niche: ChatGPT reports a billion weekly users, with ads now live across 31 European countries.
02 — Our approach
Earn the answer, then buy the placement.
We start with the free half. Your Google Business Profile, your reviews, your directory listings and your trade pages are the evidence an assistant uses to decide whether to name your plumbing business, and most companies have gaps there that take weeks rather than months to close. That work lifts conventional local search at the same time.
Then we map the prompts homeowners actually use for the services you sell, split by urgency and by town, and decide where paid placements are worth buying. Campaigns are structured around drive times and answered hours, with copy that names the job and the response time rather than describing your company as reliable and professional like everyone else.
Tracking goes in before the first impression: tracked numbers, form attribution and a single view alongside your search and social spend. Each month you get a written read on cost per lead and cost per booked job by channel, so the budget moves on evidence. The accounts, content and data stay in your name throughout.
03 — What we did
Evidence first, placements second, jobs measured.
Local evidence rebuilt so assistants can name you, prompts mapped by service and town, placements bought carefully, everything tracked to the booked job.
Weeks 1-2 / Baseline
How assistants describe you today
What ChatGPT says when a homeowner asks for a plumber in each of your towns, recorded before we change anything.

Weeks 2-4 / Evidence
Profile, reviews and service content
Business profile rebuilt, directory details made consistent, and plainly written service pages for the work you sell.

Month 2 / Launch
Placements bought against real demand
Campaigns built by trade, urgency and coverage zone, with budgets weighted to the hours your phones are answered.

Ongoing / Prove
Cost per booked plumbing job
Calls and jobs attributed by source and reviewed monthly against your existing search and social spend.

WHAT YOU GET
Deliverables you keep, whatever happens next.
you keep
The ad accounts, the business profile, the content and the tracking are all in your name from the first week.
Assistant visibility audit
What ChatGPT and the other assistants currently say when someone asks for a plumber in each town you cover.
Homeowner prompt map
The questions people actually ask before calling a plumber, grouped by trade, urgency and season.
Local evidence rebuild
Google Business Profile, coverage zones, citations and reviews put in order so assistants can name you confidently.
Campaign build and copy
Placements, budgets and ad copy that names the job, the area and the response time you can honestly promise.
Call and job tracking
Tracked numbers and form attribution verified before the first impression is ever bought.
Monthly reporting pack
Cost per lead and per booked job by channel, with a written note on what moved and what happens next.
HOW WE WORK
Operating standards, not promises.
Operating standards

Emergency plumbing
Burst pipes and blocked drains, where the first credible answer usually wins the job.
ExplorePlanned installations
Water heaters, repipes and bathrooms, researched over weeks and compared on price and proof.
ExploreCommercial and property
Facilities and property managers, a slower search with a maintenance contract behind it.
ExploreBuilt on trust. Proven by results.
We partner with SMBs and Fortune 500 companies to deliver more than reach — we bring clarity, execution, and measurable outcomes. Every successful partnership starts with a strong culture fit and a shared drive to grow.








CASE STUDIES
Case studies
Video Ads
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FAQ
Questions plumbing companies ask us
Do homeowners actually use ChatGPT to find a plumber?
Enough of them that ignoring it is now the expensive option. OpenAI reports a billion weekly active users and says 20% of them show commercial intent, meaning they are weighing a purchase while they chat. In plumbing the pattern is usually a description of the problem, a question about likely cost, then a request for someone local. We record what the assistant says for your towns before we start, so you can see your own position rather than take our word for it.
How is this different from Google Ads for plumbing?
Search is an auction on short phrases; this is a conversation where being named in the answer matters as much as the placement beside it. The economics are also different today. Non-branded plumbing search leads averaged $183 across 524 contractors in early 2026 and clicks average $10.49, while assistant placements are still thinly contested. We run both and let the cost per booked job decide the split.
What budget should we start with?
Small and measured. A few hundred a month beside your existing search programme is enough to learn whether the placements produce callable leads in your area, and we would rather prove that than sell a big number. The larger piece of work is the local evidence and service content, which is a one-off build with a long tail. We scale spend only once cost per booked job is proven.
How do we know a job came from ChatGPT?
We build the tracking ourselves rather than trusting platform reporting, which is still coarse. A dedicated tracked number, landing paths that identify the source, and a 'how did you hear about us' field on the booking form feed one view in our analytics layer. It is not flawless attribution and we will not pretend otherwise, but it is honest enough to move budget on with confidence.
Does our Google Business Profile still matter?
More than ever, because it is one of the main things an assistant reads before naming a plumbing company. Categories, coverage zones, opening hours, photographs and a steady flow of recent reviews all feed the answer as well as the map results, so the same work pays twice. We rebuild it as part of this programme rather than treating it as a separate project.
Which plumbing trades are worth advertising here?
Start with the work you want more of and can staff tomorrow. Emergency drain and burst-pipe demand converts fastest but arrives unpredictably; water heaters, repipes and bathroom work carry a bigger ticket and a longer decision, which suits a conversational surface well. We usually run a small emergency line for coverage and put the majority of the budget behind the planned work with the better margin.
How quickly will we see leads?
Placements can produce enquiries within the first few weeks, while the visibility work that gets you named in answers builds over a quarter. We report those separately so you always know which part is paying its way. In month one we would rather show you a handful of well-attributed calls than a big number of clicks nobody can trace to a job.
Is this replacing our SEO?
It leans on it. Everything that makes an assistant confident about naming you — consistent details, real reviews, clear service pages, local relevance — is the same work that wins the map results. Companies running SEO already have a head start here, and the two programmes share the same content plan rather than duplicating it.
What does the ad copy actually say?
The job, the area and the response time. A homeowner with water on the floor does not read adjectives, so we name the service, the towns and what happens when they call, with pricing expectations wherever you are willing to publish them. Everything we claim has to be something your dispatcher can honestly deliver, because an unmet promise costs more in reviews than it earns in calls.
Are other plumbing companies already doing this?
Very few, which is the opportunity. Adthena counted 7,378 distinct advertisers on ChatGPT in a single week across every category worldwide — a tiny field next to the 132,000-plus plumbing businesses operating in the US alone. Local service companies are barely represented, so the placements remain cheap to test while that lasts.
What happens during a freeze or a storm week?
We plan for it rather than react to it. Demand in this trade is weather-driven and largely non-discretionary — 70-80% of plumbing service calls are urgent — so budgets and copy are prepared before the cold snap, then released when the forecast turns. We also cap spend to what your team can actually answer, because leads you cannot reach become bad reviews.
Who will be working on our account?
A named senior paid media strategist with a local search specialist alongside, and the same people stay with your account instead of handing it to a rotating queue. You will know their names, you can email them directly, and the person who wrote your plan is the person who reviews the numbers with you every month.

























































































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