Homeowners price the job before they call a painter.
before they call a painter
What should it cost to repaint a 2,400 square foot exterior, how many coats, is this the right season — those questions now get typed into ChatGPT first. We run ChatGPT Ads for painting contractors so your company is in that answer, and we measure it on jobs sold.
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 painting leads from AI search.
painting leads from AI search
Campaigns built for the job a homeowner is describing, creative that handles the price question, tracking that reports sold work, and the unpaid visibility that keeps producing between campaigns.
Campaigns and job intent
Creative, estimates and landing pages
Tracking and benchmarking
Unpaid AI visibility
Buy the job, not the keyword.
Nobody types “painters near me” into an assistant. They describe the work: cedar siding that has not been touched in twelve years, a stairwell nobody can reach, a rental that has to be turned over in a week, cabinets they are afraid to ruin. Campaigns are built around those jobs because that is what the conversation actually contains.
The entry price still favours early advertisers. Average CPCs run $2-$5 across industries with daily budgets starting at $25, while painting carries the highest contractor cost per click in home services at $13.74 on established channels.
- Campaigns mapped to real jobs, interior and exterior
- Service area and drive time respected in targeting
- Residential and commercial budgeted and read separately
- Season planned before it arrives, not during it
$2-$5
average cost per click on ChatGPT Ads across industries
$13.74
painting's cost per click on established search, highest in home services
The price question decides the click.
Painting contractors lose leads at one predictable moment: the homeowner wants a number and gets a contact form. Creative that works names the job you are good at, says something true about how you price and prep, and lands on a page about that job rather than a homepage with a stock roller on it.
It is worth getting right because painting leads are expensive everywhere: median Google Ads painting leads ran about $157-$193 through the first five months of 2026, with the best campaigns at $67-$128. Wasting them on a weak page is the real cost.
- Ad copy written for the job, not the trade
- Landing pages per job type, interior, exterior, cabinets
- Estimate requests shortened to what you need to quote
- Reviews, insurance and warranty visible where they matter
$157-$193
median painting lead cost on Google Ads in 2026
$67-$128
what top-performing painting campaigns paid per lead
Report sold jobs, not conversations.
A new channel invites vanity reporting. We wire calls, forms and chats before a dollar is spent, connect your CRM or estimating software where it allows, and report cost per estimate and cost per sold job. Estimates that never turn into scheduled work are not a result we will claim.
Then we benchmark honestly against what you buy today. Painting converts at 10.80% on search, producing a $138 lead. If this channel cannot get close to that for your market, you will hear it from us first and we will move the money.
- Calls, forms and chats tracked and verified before launch
- CRM or estimating software connected where it allows
- Cost per estimate and per sold job reported monthly
- Ad accounts, tags and data in your name from day one
$138
benchmark cost of a painting lead on established search
10.80%
painting's conversion rate on paid search traffic
Get named when nobody is paying.
Ads buy a place in today's answer. Being the painting contractor an assistant names on its own is what keeps the phone ringing in February. That comes from evidence a model can check: clear content on how you prep and price different jobs, consistent business details, licence and insurance information, real reviews and third-party mentions.
The audience is already there: 83% of homeowners start their local search online and 22% use AI tools like ChatGPT to research or book a home services provider.
- Job, prep and pricing content written to be quotable
- Business details made consistent everywhere they appear
- Reviews and insurance information kept current and visible
- Answers monitored to see who gets named in your area
22%
of homeowners use AI tools to research or book home services
83%
of homeowners start their local search online
of homeowners already use AI tools to find home services
average cost per click on ChatGPT Ads today
Reads while this channel is still young
Ad accounts, creative and data in your name
We made the difference for those brands
Beauty, personal care & wellness
Apparel and lifestyle
Home essentials, appliances, kitchen & pet
B2B software, fintech, insurance
Apparel and lifestyle
Home essentials, appliances, kitchen & pet
Retail & commerce
B2B software, fintech, insurance
Consumer tech and platforms
B2B software, fintech, insurance
Healthcare & regulated services
Creative, content, arts & culture
Consumer tech and platforms
Creative, content, arts & culture
B2B software, fintech, insurance
B2B software, fintech, insurance
Creative, content, arts & culture
Beauty, personal care & wellness
Food & beverage
Creative, content, arts & culture
Home essentials, appliances, kitchen & pet
Home essentials, appliances, kitchen & pet
B2B software, fintech, insurance
Beauty, personal care & wellness
Food & beverage
Apparel and lifestyle
Creative, content, arts & culture
B2B software, fintech, insurance
Consumer tech and platforms
Retail & commerce
01 — The challenge
The first estimate now comes from a chatbot.
A repaint used to start with three phone calls and a neighbour's recommendation. Increasingly it starts with a homeowner describing the house to an assistant: square footage, siding, how bad the peeling is, and what this should cost. By the time your estimator arrives, the price expectation has already been set by something that has never seen the property.
“He told me what the job should cost before I had measured anything.”
02 — Our approach
Economics first, then presence, then proof.
We start with your numbers, because a painting contractor who does not know what a sold job costs cannot judge any channel. Average job value by type, close rate on estimates, and what you pay today for leads across search, social and directories. That gives this channel a target to beat instead of a budget to spend.
Then the build. Campaigns are structured around the work you actually want — the job types with margin, the neighbourhoods worth the drive, the season with capacity — with landing pages per job type and estimate forms trimmed to what you need to quote. Tracking is verified end to end before launch, never after.
We launch small, read it weekly while the channel is young, and scale only what clears the target. Alongside the ads we make you easier for an assistant to name without paying — quotable job content, consistent business data, visible reviews — because that visibility survives whatever the ad platform does next.
03 — What we did
Live in weeks, judged on sold jobs.
Benchmarks first, then campaign and landing page build, a measured launch, and scaling only against cost per sold job.
Weeks 1-2 / Baseline
What a sold job costs you now
Current cost per estimate and per sold job measured across every channel you buy, by job type and area.
Weeks 2-4 / Build
Campaigns, creative and pages
Job-led campaigns, honest ad copy, job-type landing pages and call and form tracking verified end to end.
Week 4 / Launch
Small, measured, honest
Live at a budget that produces readable data, reviewed weekly against your existing cost per estimate.
Ongoing / Compound
Scale what sells work
Budget follows sold jobs, while quotable content and clean business data earn unpaid mentions inside AI answers.
WHAT YOU GET
Deliverables you keep, whatever happens next.
you keep
Ad accounts, creative, landing pages and tracking all stay in your name from the first week.
Channel baseline and targets
What an estimate and a sold job cost you now by channel, and the target this one has to beat.
ChatGPT Ads campaign plan
The job types worth buying, service area, budgets and the testing sequence across the season.
Ad and offer creative set
Ad copy and offers written for the job described, with prep and pricing language you can stand behind.
Job-type landing pages
Pages per job type and neighbourhood, with estimate forms short enough that homeowners finish them.
Conversion tracking build
Calls, forms and chats tracked, with your CRM or estimating software connected where it allows.
Monthly reporting pack
Spend, estimates and sold jobs against your benchmark, with a written note on what moved and why.
HOW WE WORK
Operating standards, not promises.
Operating standards
Exterior and prep-heavy work
Seasonal, higher-value jobs where prep quality is the argument that wins the sale.
ExploreCommercial and property management
Repeat contracts and turnovers, sold on scheduling reliability and insurance more than aesthetics.
Explore
Built 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
Website Portfolio
Video Ads
Static Ads
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FAQ
Questions painting contractors ask us
What do ChatGPT Ads cost a painting contractor?
Average CPCs run $2-$5 across industries with daily budgets starting at $25. Compare that with painting's $13.74 cost per click on established search, the highest of any contractor trade, and the case for testing early is arithmetic rather than enthusiasm.
How does this compare to what we pay for leads now?
Median Google Ads painting leads ran about $157-$193 per lead through the first five months of 2026, with the strongest campaigns at $67-$128. Those are the numbers this channel has to beat, and we will benchmark against your own figures rather than an industry average wherever your tracking is good enough to give us them.
Are homeowners really asking AI which painter to hire?
Enough of them to matter now. 22% of homeowners already use AI tools like ChatGPT to research or book home services providers, and 83% start their local search online. Painting is a textbook case for it: an unfamiliar price, lots of variables, and a homeowner who wants a rough answer before speaking to anyone.
What about all the ChatGPT prompt guides for painters?
They are useful for the office, not for lead generation. Prompts help you draft a proposal or an estimate follow-up faster. Getting found is a separate discipline: paid placement inside the answer, plus content and business data solid enough that the model names you unprompted. We do use prompts as research, reading how assistants answer the questions your customers ask, because that tells us who gets named in your market today.
Can you target only the neighbourhoods we want?
Yes, and we treat it as a hard boundary. Drive time, job value by area and the crews you have available all shape the targeting, and campaigns are split so residential and commercial can be funded and read separately. Paying for enquiries an hour away that you would decline is the fastest way to make a good channel look bad.
What do we do in the busy season when we are already full?
Spend less, and spend it on the work you actually want. The useful pattern for most painting companies is to push hardest in the shoulder weeks, on interior work through winter, and on the job types with the best margin rather than paying to compete for jobs you would have won anyway. Seasonal pacing is set in the plan before launch, not improvised in June.
How do we handle price when we cannot quote without seeing it?
By being straight about it. Homeowners accept that a real number needs a walkthrough; what loses them is a form that reveals nothing. So the page explains how you price, gives a defensible range where you can, shows what changes it — prep, height, coats, substrate — and makes booking the estimate the easy next step. That converts far better than hiding the number.
Can this be tracked through to a sold job?
Yes, and it is the measure we prefer. Calls, forms and chats are tracked from launch, and where your CRM or estimating software allows we connect the sold outcome, so reporting shows cost per estimate and cost per sold job rather than clicks. Our conversion tracking team builds and verifies that before any spend starts.
How do we get named in AI answers without paying?
By being verifiable. Assistants lean on clear service content, consistent business information, licence and insurance details, real reviews and third-party references, so a contractor with thorough content about prep, products and process gets cited more often than one with a photo gallery. Our AI search visibility team runs that alongside the ads, and it has the longer payback.
Do reviews matter for this?
A great deal. Reviews are one of the few things a model can actually verify about a painting company, and they are what a homeowner scans before letting a crew into the house. Steady review volume, sensible replies to the difficult ones and consistent business details everywhere are unglamorous work that directly affects who gets named in an answer.
How quickly can a campaign be live?
About four weeks from kickoff for a full build: benchmarks, campaign structure, landing pages and verified tracking. We could go faster by skipping the tracking work, and we will not, because launching a channel with no way to prove it worked is how budgets get argued about six months later.
What does a monthly retainer include?
Campaign management, new ad copy and creative variants, landing page changes where the data points, tracking maintenance, and a written monthly report tying spend to estimates and sold jobs. You get a named senior strategist who joins your monthly session, and nothing on the invoice should be a mystery to you.
Should we still run Google Ads and LSAs?
Almost certainly. Paid search catches the homeowner who has decided to hire and wants a quote this week, while this channel catches them earlier, while they are still working out what the job involves. We run them side by side against one shared benchmark and let the sold jobs decide the split.
Is local SEO still worth it if AI answers the question?
More than before. The signals that make you rank locally — an accurate profile, service and area pages, reviews, citations — are largely the same evidence an assistant uses to decide who to name. Our local SEO work and this channel feed each other, so we usually check the state of one before recommending the other.
Who will be working on our account?
A named senior paid media strategist, with a copywriter who has written for home services and an analytics specialist alongside. You will know their names, you can email them directly, and the same person joins your monthly session. Your account is not handed to a rotating queue of juniors.
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