

Be the cleaning company the assistant recommends.
the assistant recommends
People no longer only type “house cleaning near me”. They describe the job — a move-out clean before Friday, a four-floor office that needs nightly cover, a facility manager comparing two contracts — and let an assistant shortlist. We run advertising inside ChatGPT for cleaning businesses and do the preparation that decides whether your company is named at all, planned with our ChatGPT ads and answer engine teams.
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 a cleaning business inside AI answers.
inside AI answers
A new surface needs old discipline: understand how the job is described, buy the placement carefully, make the company findable, and measure it against booked contracts rather than impressions.
Conversational demand
Ad buying & offers
Answer visibility
Measurement & routes
Learn how the job is actually described.
An assistant conversation is nothing like a keyword. A homeowner writes about a landlord inspection on Thursday; an office manager writes about three floors, 40 desks and a washroom spec; a facility manager asks what a nightly contract should cost per square foot. Each of those is a different buyer with a different price expectation, and the wording tells you which one you are talking to.
We map those conversations for your service area and service lines, including the ones you want fewer of. The audience is already there: ChatGPT has passed one billion weekly active users, and local intent has not moved — 52% of consumers still begin a nearby search on Google, so this runs beside your existing channels.
- Residential, commercial and facility conversations mapped separately
- Move-out, post-construction and recurring routes split by margin
- Local competitors' answers checked, not assumed
- Message and offer written from how buyers actually ask
1bn+
weekly ChatGPT users (eMarketer, 2026)
52%
of consumers still start a nearby search on Google
Buy the placement deliberately while the format is young.
OpenAI's advertising products are new, and the honest position is that a cleaning company should test them with a defined budget and clear stop conditions rather than a leap of faith. We configure the account and billing properly, write a test plan before any money moves, and phrase the offer so it reads as a helpful answer inside a conversation instead of a banner shouting about a first-clean discount.
The reason to start now is cost of entry: OpenAI's ad business is approaching a $1 billion run rate, and the learning gathered on a young surface is far cheaper than the same learning bought in two years.
- Account, billing and brand safety configured correctly
- A written test plan with budgets and stop conditions
- Offers phrased for a conversation, not a leaflet
- Weekly read while the format keeps changing
$1bn
approximate OpenAI advertising run rate (eMarketer, 2026)
Paid works better when the assistant already knows you.
Assistants shortlist companies they can verify. That means an accurate business listing with the right categories and service areas, consistent details wherever the company is listed, service pages that state what a clean includes and roughly what it costs, insurance and vetting stated plainly, and steady honest ratings — 85% of consumers say positive reviews make them more likely to use a business.
This is unglamorous preparation, and it is what decides whether you appear in the unpaid part of the answer too. It is the same work our answer engine team does for local service brands.
- Business profile, categories and service areas corrected
- Structured markup on services, areas and hours
- What a clean includes and what it costs, published
- A review routine your supervisors can keep
85%
of consumers are more likely to use a business with positive ratings
Judge it on recurring contracts, not first cleans.
A one-off clean pays for the week; a route pays for the business. So the measurement has to follow the customer past the first visit — enquiry source, quoted value, first job, and whether it became recurring. We wire the form, the phone and your scheduling system together so that chain is visible instead of anecdotal.
It also sets a fair benchmark. Home-service data puts house cleaning at the lowest cost per lead of any local services category, roughly $12-$30, with 30-40% of first-clean leads converting to recurring work. If a new surface cannot approach that, we will tell you and recommend the budget goes elsewhere.
- Calls, forms and scheduling connected to one record
- Recurring conversion tracked, not just first jobs
- Cost per booked route compared against your other channels
- One monthly read in plain language
$12-$30
typical house cleaning cost per lead, lowest of any home services category
30-40%
of first-clean leads convert into recurring service
Ad account, profile and website stay in your name
A retained route is the metric, not a first clean
Weekly working session with the people doing the work
Long-term lock-ins
We made the difference for those brands
01 — The challenge
Your best jobs are being shortlisted without you.
Owners tell us the same thing: the phone still rings, but the enquiries feel more price-led and the commercial contracts that used to come through referral now arrives already comparing three companies. Somewhere in that research an assistant produced a shortlist, and nobody in the business knows whether it included them.
“A facility manager told me he asked ChatGPT for three companies. We were not one of them.”
That shortlist is built from what is verifiable: your profile, your service pages, your ratings and your consistency across the web. With more than a billion people using ChatGPT each week the surface is too large to ignore, and the fix is the same preparation that already wins local search — done deliberately, then supported with paid placement.
02 — Our approach
Make the company verifiable, then buy the placement.
We start by testing what assistants say today about cleaning services in your area, for the specific jobs you want: recurring residential routes, office contracts, move-out work, post-construction. That gives a baseline and usually a short list of unflattering facts — a profile in the wrong category, a service area that does not match reality, pages that never state what a clean includes or costs. We fix that preparation first because paid placement into a company nobody can verify is money lit on fire. Then the ad work: account set up properly, a written test plan with budgets and stop conditions, offers phrased as answers rather than slogans, and a weekly read while the format keeps changing. Measurement follows the customer past the first visit, so we can compare cost per recurring contract against your existing channels honestly. If this surface is not earning its budget for your market, we will say so and move the money.
03 — What we did
A first ninety days on a surface that is still young.
Baseline, groundwork, a measured test, then an honest verdict — with a working session every week and a written note of what changed.
Weeks 1-2 / Baseline
Ask the assistants what they say about you
Every service line and service area tested against the answers given today, with the competitors named and the gaps written down.

Weeks 2-6 / Groundwork
Make the company verifiable
Profile, categories and service areas corrected, service pages that state scope and pricing posture, markup applied, and a review routine started.

Weeks 4-10 / Test
A funded test with stop conditions
Account configured, budgets and stop conditions agreed in writing, offers written as answers, and a weekly read while the platform keeps shifting.

Monthly / Verdict
Cost per recurring contract, in plain language
Enquiries traced through to first job and to recurring work, compared against your other channels, with a plain recommendation either way.

WHAT YOU GET
Deliverables an owner can audit.
can audit
Everything below lands in accounts you own and stays yours if you ever leave.
Assistant visibility baseline
What ChatGPT and other assistants say today about cleaning services in your area, and which competitors they name.
Conversation and offer map
How each buyer describes the job, split by residential, office and facility work, with the offers written to match.
Verifiability groundwork
Profile, service areas, scope and pricing posture published, with the structured markup assistants read.
Ad account and test plan
Account configured, budgets and stop conditions written down before anything runs.
Answer content
The questions buyers ask about scope, insurance, vetting and price, answered clearly enough to be quoted.
Monthly reporting
Cost per booked job and per recurring contract, compared with your other channels, plus a plain recommendation.
HOW WE WORK
Operating standards, not promises.
Operating standards

Residential & maid services
Recurring routes rather than one-off deep cleans, priced and described so the assistant can quote you.
ExploreCommercial & janitorial
Office and retail contracts where a facility manager is comparing three companies before a single call.
ExploreSpecialty & post-construction
Move-out, post-build and periodic deep work, where scope clarity wins the job more often than price.
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
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FAQ
What cleaning companies ask us first.
Are ChatGPT ads actually available, or is this a pitch about the future?
They are real and still early, which is exactly how we treat them. OpenAI's advertising business is approaching a $1 billion run rate with more than a billion weekly users on the platform, and the formats and targeting controls are still changing month to month. We run a funded test with written stop conditions rather than moving your main budget, and we report what actually happened. If it is not earning its place for your market, you will hear that from us first.
Do you just sell us a list of ChatGPT prompts?
No. Prompt lists are a research tool, not a product, and we use them the way an agency uses a keyword tool: to learn how buyers describe a job and to test what assistants currently say about cleaning companies in your area. What you pay for is the work that follows — correcting what the assistant can verify about your business, publishing answers worth quoting, buying placement carefully, and measuring the contracts that result.
Should this replace our Google Ads or Local Services Ads?
Absolutely not, and anyone saying otherwise is selling novelty. House cleaning has the lowest cost per lead of any home services category at roughly $12-$30, which is a very hard benchmark to beat, and 52% of consumers still start a local search on Google. We treat assistant advertising as an additional surface funded from a test budget, with your proven channels left intact and managed by the same team so nothing is double-counted.
What actually decides whether an assistant recommends our company?
Verifiability. These systems shortlist businesses whose details they can confirm: a correctly categorised profile with real service areas, consistent details across the web, service pages stating what a clean includes and roughly what it costs, insurance and vetting stated plainly, and a steady flow of genuine ratings — 85% of consumers say positive reviews make them more likely to use a business, and assistants weigh the same signals. Most of our first month goes into exactly this.
Does this work for commercial and facility contracts, or only home cleaning?
It is often stronger on the commercial side, because facility managers research in writing. They describe a building, ask what a nightly contract should cost per square foot, and ask for companies that carry the right insurance and can pass a vendor check. That is a long conversation an assistant is good at summarising, and a company with published scope, certifications and references gets named. We split residential and commercial into separate plans, since the buyer and the wording differ completely.
What does it cost, and what budget should we test with?
A fixed monthly management fee scoped to the work, plus a test media budget you set and can stop at any point. We recommend starting small enough that a poor result is a lesson rather than a problem, and we write the stop conditions into the plan before anything runs. Most of the early value comes from the groundwork rather than the media spend, which is why we sequence it that way rather than opening an ad account in week one.
How do you measure something this new?
The same way we measure anything: by the contract at the end of it. Calls, forms and your scheduling system are connected so an enquiry is traced to a first job and then to recurring work, since 30-40% of first-clean leads convert to recurring service and that conversion is where the business value sits. We compare cost per booked route against your existing channels every month, and we show the comparison even when it is unflattering to the new surface.
We are a small local company. Is this only for national brands?
Small and local is an advantage here, because assistants answer specific questions and specificity is what you have. A company that clearly states it covers four suburbs, does move-out cleans with a landlord checklist, is insured and bonded, and prices a three-bedroom home in a stated range is far easier to recommend than a national brand with a generic page. The work scales down comfortably; the fee should too, and we will tell you if the smallest useful version of this is not worth doing yet.
Will this hurt our brand if the assistant gets something wrong?
The risk of being described inaccurately exists whether or not you engage with the surface, and engaging is how you correct it. We record what assistants say about you at the start, fix the underlying sources they are reading from — profile, website, directories, reviews — and re-test on a schedule so drift is caught. Everything we publish is checked with you first, so the version of your company in circulation is the one you would say out loud.
How long before we see anything?
The baseline lands in the first fortnight and usually changes the conversation on its own, because seeing which three competitors get named is clarifying. Groundwork fixes take four to six weeks to be reflected in what assistants say, since they re-read sources on their own schedule. The ad test produces readable numbers within a few weeks of starting. A fair verdict on the whole thing takes about a quarter.
Who writes the content, and will it sound like us?
Our writers draft it and your supervisors correct it, because the detail that makes a page quotable — what is included in a standard clean, what products you use around pets, how a key handover works — lives with the people doing the job, not with a copywriter. Nothing goes live without someone in your business signing it off, and the finished pages serve your website and your quotes as much as they serve any assistant.
Can you run our other channels too?
Yes, and the numbers get more honest when one team holds them. Our paid search, SEO and analytics specialists work from the same plan, so a booked contract is attributed once instead of claimed by three suppliers. It is equally fine to hire us only for this test while somebody else keeps the rest — we document everything and leave every account open in your name.


























































































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