Start with a chatbot if most new enquiries arrive by website, text or social messages, which is typical for domestic cleaning. Choose an AI receptionist if most arrive by phone, which is more common for commercial and move-out cleans. Count one month of enquiries by channel first: if calls are under about a third, a chatbot plus a missed-call text-back usually covers it.
Whichever you pick, it lives or dies on the same thing: the intake questions. A cleaning quote depends on bedrooms, bathrooms, frequency, pets, extras such as ovens or windows, and access. A chatbot that skips "how many bathrooms?" or a receptionist that books a regular clean without asking about pets creates an overrun, an unhappy cleaner and a customer who feels misled. Get the questions right and both tools do well; get them wrong and neither does.
Count your enquiries by channel before choosing
Go back through the last four weeks: web form submissions, website chat, Facebook and Instagram messages, WhatsApp and texts, phone calls (answered and missed) and emails. Only count new enquiries, not existing customers rearranging. Here's how the tally looks for an illustrative domestic cleaning company with 12 cleaners:
| Channel | New enquiries in 4 weeks | Share | Out of hours |
|---|---|---|---|
| Website form and chat | 61 | 44% | 27 |
| Facebook and Instagram messages | 32 | 23% | 18 |
| WhatsApp and text | 21 | 15% | 9 |
| Phone (incl. missed) | 18 | 13% | 4 |
| 7 | 5% | 3 | |
| Total | 139 | 61 |
Written messages (web, social, WhatsApp and email) make up 87% of this company's enquiries, and 61 of the 139 arrive when nobody is at a desk. That's a chatbot company. The 18 calls are better handled with a missed-call text that points callers to the booking chat. Run the same count for a commercial cleaner and you'll often see the reverse: fewer enquiries, most by phone or email, from facilities managers who want to talk to a person.
What each handles well in a cleaning business
| Task | Chatbot (web, social, messaging) | AI receptionist (phone, sometimes text) |
|---|---|---|
| Quote intake (rooms, frequency, extras) | Strong: customers can type details and send photos | Fine, but long lists of questions tire callers |
| Giving a price range | Good for standard domestic cleans from a price grid | Possible; harder to explain on a call |
| Booking a first clean or survey | Good if connected to your calendar | Good if connected to your calendar |
| Rescheduling existing cleans | Good, with rules on notice periods | Good |
| Commercial contract enquiries | Weak: buyers want a call back | Good at taking details and booking a call |
| Urgent move-out or post-party cleans | Fine for capturing details | Better, because these callers often ring several firms |
| Complaints and breakages | Should hand over to a person | Should transfer or take a message |
| Keys, alarm codes, access notes | Never collect these by bot | Never collect these by phone AI |
The pattern is simple: chatbots suit volume and detail, receptionists suit urgency and people who prefer to talk. For many domestic companies, the chatbot takes most of the load and the phone gets a simple backstop.
Receptionist and chatbot tools for cleaners, with prices
List prices in USD from vendor pages, September 2026.
- Jobber Receptionist: $29 a month add-on for 30 conversations, then $0.79 each; it answers calls and texts, books through your online booking form and submits requests. Handy if you already run Jobber, and it covers the text channel too.
- Rosie: from $49 a month for 250 minutes of calls; direct calendar booking starts on the $149 plan.
- Smith.ai AI Receptionist: free for 25 calls a month, then $3 a call; Pro from $150 a month for 75 calls.
- Tidio with its Lyro AI agent: Lyro is sold from $32.50 a month for 50 AI conversations; Tidio's Starter plan is listed at $24.17 a month and includes 50 Lyro conversations as a one-off.
- Meta's Business Agent for WhatsApp, Instagram and Messenger replies: charged per token since 1 August 2026, which Meta puts at roughly 4-5 cents a message. Meta's WhatsApp terms allow bots tied to one business task, such as bookings, but not general-purpose assistants.
Check your booking software too. ZenMaid's pricing page lists no AI features as of September 2026, but its Pro Max plan includes a Zapier integration, so a chatbot can pass captured enquiries into it. If you use the WhatsApp Business Platform through a provider rather than the free app, its pricing changes on 1 October 2026: service replies within the 24-hour window become chargeable after the first 1,000 a month. The WhatsApp chatbot cost breakdown goes through what that means.
A month's cost for each route, for the same company
A quick sum for the domestic company in the tally, using list prices. It gets about 120 written enquiries and 18 new-customer calls a month, plus perhaps 60 existing-customer calls and texts about rescheduling.
- Chatbot route: Tidio's Lyro starts at $32.50 a month for 50 AI conversations, so 120 enquiries plus rescheduling chats will need a larger allowance; price that tier on Tidio's page before committing, and compare it with the cost of Meta's per-message charge if most enquiries arrive in Instagram or WhatsApp. Add a missed-call text-back, which many phone systems include at little or no extra cost.
- Receptionist route: Jobber's receptionist at $29 for 30 conversations would handle 78 calls and texts for about $29 + 48 x $0.79, or roughly $67, but only if they run Jobber. Rosie's $49 plan (250 minutes) would cover the calls, but not the 120 written enquiries, which still need answering.
The receptionist looks cheaper until you notice it leaves 87% of new enquiries untouched. Cost per enquiry handled is the fairer comparison, and for a message-heavy business that usually favours the chatbot. Work it out with your own tally: divide each option's monthly cost by the number of new enquiries it would actually handle.
The intake script both tools need
Write this once and give it to whichever tool you choose. An illustrative chatbot conversation using it:
Customer: Hi, how much for a regular clean?
Bot: Happy to help. Is this for a house or flat, and how many bedrooms and bathrooms?
Customer: 3 bed house, 2 bathrooms
Bot: Thanks. How often would you like us: weekly, fortnightly or monthly? And do you have pets?
Customer: Fortnightly, one dog
Bot: For a 3-bed, 2-bath house cleaned fortnightly, our usual visit is 3 hours, which comes to $105-$120 a visit depending on the home. Pet hair can add time, so we confirm after the first clean. Would you like any extras, such as inside the oven or fridge? And which days suit you?
Customer: Tuesdays, no extras
Bot: We have Tuesday 9:30am or 1pm free from next week. Which would you like? I'll just need your name, mobile and the first part of your address to check we cover your area.
That's the shape to aim for: two questions at a time, a price range with the reason it might change, then a booking. The figures come from your own price grid. The intake questions that make AI cleaning quotes accurate covers the full list, including move-out and deep-clean extras.
Now a realistic mistake: a company's first bot asked about bedrooms but not bathrooms, and quoted its standard 3-hour visit for a four-bedroom house with three bathrooms and two cats. The cleaner took five hours, the customer was asked to pay more, and a one-star review followed. The fix was making bathrooms and pets required answers, and showing a range with "confirmed after the first clean" on every quote.
The phone backstop for a chatbot-first company
If the tally says chatbot, you still need something for the 10-20% of people who ring. The cheapest backstop is a missed-call text-back: when a call goes unanswered, the caller gets a text within a minute. Wording that works for a cleaning company:
"Sorry we missed your call, we're out cleaning. You can get a price and book in two minutes here: [booking chat link]. Or reply with a good time to call and we'll ring you back today."
Two options, no dead end, and the link takes them to the same intake questions as the chatbot. Most phone systems and several job apps can send this; the set-up steps are in setting up missed-call text-back for a service business. If, after a month, more than a handful of callers reply "please just call me", that's your signal the phone share is bigger than the tally suggested, and a receptionist is worth trialling.
Judging the chatbot on bookings after month one
Whichever you choose, judge it on bookings, not conversations. Here's an illustrative month-one review for the domestic company above, after switching on a website and social chatbot:
| Measure | Month before | Month one | What it tells you |
|---|---|---|---|
| New enquiries | 139 | 151 | Roughly steady; the bot isn't creating demand |
| Replied to within 10 minutes | about 40% | about 90% | The main gain: out-of-hours replies |
| First cleans booked | 31 | 39 | Faster replies turning into bookings |
| Handovers to a person | n/a | 22 | Mostly deep cleans needing photos: expected |
| Quotes corrected after the first clean | 6 | 9 | Check which intake question is missing |
The last row is the one to watch. A rise in corrected quotes usually means one question in the script is too loose, often bathrooms, pets or "how long since the last professional clean". Tighten it, and compare again in month two. If bookings didn't move at all, read twenty conversations to see where people drop off: usually at the price, or when asked for contact details too early.
Regular cleans, move-outs and offices need different tools
A domestic regular-clean company
Mostly web and social enquiries, many in the evening, and a price grid by bedrooms and frequency. Answer: a chatbot on the website and social inboxes, connected to the booking calendar, with a missed-call text-back for the phone. A receptionist would sit mostly idle.
A move-out and deep-clean specialist
Customers ring with deadlines ("keys go back Friday") and phone around. Every job needs photos to price. Answer: both, but lead with the phone. An AI receptionist takes details and texts a link to send photos; a chatbot handles the web enquiries and the photo follow-up. A human prices from the photos.
A small commercial office cleaner
Twenty enquiries a month, mostly phone and email from facilities managers, each worth a contract. Answer: probably neither for new business. An AI receptionist is useful only to catch calls you miss and book a call-back slot; the sales conversation should be yours. Put the effort into answering the phone and replying to emails within the hour instead.
A move-out call and a commercial email, handled well
A move-out call to an AI receptionist. The summary the owner receives, as an illustration: "New enquiry, 18:40. Move-out clean, 2-bed flat, keys returned Friday noon, needs clean Thursday. Carpets to be steam cleaned: yes. Oven: yes. Caller will text photos of kitchen and bathroom to this number. Told her we'll confirm price and slot by 9am tomorrow." The receptionist didn't price the job or promise Thursday; it captured the deadline, the extras and the photos, which is everything a person needs to quote first thing.
A commercial enquiry by email, before and after drafting help. A facilities manager writes: "We're reviewing our office cleaning contract for a 6,000 sq ft office, 40 staff, 5 evenings a week. Can you quote?"
- Before: "Hi, yes we can quote. Our rate is $32/hr. When can we visit?"
- After (AI draft, edited): "Thanks for thinking of us. For a 6,000 sq ft office cleaned five evenings a week, we'd normally visit to walk the site, since kitchens, washrooms and floor types change the hours needed. Could we come on Tuesday at 5:30pm or Wednesday at 8am? Afterwards we'll send a written specification and price within two working days, including how we handle keys, alarm codes and supervision."
The second reply treats the enquiry as the contract it could become. That's also why a chatbot is the wrong tool for this customer: a facilities manager expects this kind of answer from a named person, and AI's job here is to help you write it quickly, not to send it for you.
Things neither tool should do on its own
- Price non-standard jobs such as post-renovation cleans or heavily soiled properties. Capture photos, then a person prices.
- Handle complaints or breakages. Hand over at the first sign of either. When a chatbot should hand over to a human sets out the triggers.
- Collect keys, alarm codes or door codes. Take these by phone with a person, and store them in your booking system, not a chat log.
- Promise a named cleaner or a specific start time before your rota is checked.
- Discuss a vulnerable client's needs. If a customer mentions an elderly relative, a health condition or safeguarding concerns, a person should take the conversation.
Set these as rules in whichever tool you use, test each one with a fake enquiry, and read ten real conversations a week for the first month. The right choice for a cleaning company is the one that matches how its customers get in touch; the tally at the top of this page tells you which that is.
Further reads
- Can AI Help a Cleaning Company Rebook More Regular Clients? — Once enquiries are handled, turn one-off cleans into regulars.
- Photo Checklists and Quality Control for Cleaning Teams Using AI — Photo checklists that cut the complaints your bot shouldn't handle.
- How Much Does a Website AI Chatbot Cost, and Will It Pay Off? — Fuller costs and payback for a website chatbot.
- How to Build the FAQ Your AI Chatbot Needs Before Launch — Write the FAQ your chatbot answers from before launch.
- AI Receptionist or Answering Service for a Booking-Based Business? — If phones win, compare AI against a human answering service.
- AI Chatbot vs Live Chat vs Help Desk: What a Small Team Needs — Where live chat or a shared inbox beats a bot.
- How Cleaning Companies Use AI to Quote and Book Jobs in Minutes — Instant booking forms, AI triage of messy enquiries and calendar rules: how a cleaning firm gets from enquiry to booked slot in minutes.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Jobber pricing page and help article on its AI receptionist; Rosie, Smith.ai, Tidio and ZenMaid pricing pages; Meta Business Agent and WhatsApp Business Platform pricing notes; all checked September 2026.