The 6 Best AI Receptionists for Small Business in 2026, With Real Prices
Two of these six publish a rate card. Three will not tell you the price without a sales call. And one is dental-only. Here is what each actually does.
In short
A plain-English look at the best AI receptionist for small business, comparing GoHighLevel, Smith.ai, Ruby, Numa, Podium and Weave on what they do and what each one costs.
A small service business can lose a surprising share of its jobs to the phone it cannot answer. I have watched a three-technician pest control company miss about 30 calls in a busy week, the owner answering between jobs when she could. Most of those callers never left a message. They just dialled the next company.
An AI receptionist for small business is built for exactly this gap. The question is which one turns calls into bookings, not just messages.
The objective for most service businesses is simple: answer every call and turn it into a booking. A plumber, roofer, cleaning business or clinic does not need more leads if the calls it already gets become jobs.
The bottleneck is the phone itself. Calls come in while you are on a job, at lunch and after hours. The leads arrive, ring the phone, get voicemail and call the next company on the list. Hiring a receptionist for every hour the phone might ring is not affordable. That is why an AI receptionist for small business has become the default question.
This compares the six options you will actually be shown, from an AI phone answering service to a fully human virtual receptionist. It uses published prices where they exist, and says so honestly where they do not. Two of the six are not general-purpose products at all, which no comparison list seems to mention.
What about the statistic everyone quotes?
You will see it on every page in this category: 62% of calls to small businesses go unanswered.
It is not worth relying on. It traces to a single 2016 study by 411 Locals, a marketing and SEO vendor, not an independent research body. It monitored 85 businesses across 58 industries for 30 days. That is roughly one and a half businesses per industry, and it published no method beyond saying it monitored the calls. The most-cited number in this category is a decade-old anecdote from a company selling marketing services.
Invoca, a call-tracking platform, reports that around 27% of home services calls go unanswered. At least that comes from a company that measures calls for a living. But its page states no sample size or collection year either, so treat that as "Invoca reports" rather than as research.
The honest version needs no statistic. You know whether your phone rings while you are on a job, at lunch, and at seven on a Sunday evening. You know nobody is answering it. That is the problem, and it does not need a borrowed number to be real.
What does an AI receptionist for small business actually do?
It answers, works out why the person is calling, and either resolves it or routes it. A well-configured one handles:
- Confirms you exist and are open. Hours, location, service area, whether you cover a postcode.
- Confirms you do the thing. "Do you do emergency callouts?" "Do you take that insurance?"
- Checks availability and books. The highest-value action, because it converts the call into a calendar entry rather than a note to ring back.
- Reschedules and cancels. Quietly valuable, and it removes a job nobody enjoys.
- Captures the details. Name, number, reason for calling, urgency, written to the record rather than a notepad.
Where does AI fail, and what should you do about it?
The failures are predictable. AI does not read that a customer is upset before they say so. It negotiates poorly, and will either invent a price or refuse to discuss one. It cannot make a judgement call on a goodwill refund. And it loops, which is the most damaging failure of all, because a caller repeating themselves to a machine tells everyone about it afterwards.
So write explicit escalation rules rather than hoping the model notices:
- Anything about money already paid or owed goes to a person.
- Any complaint goes to a person immediately, with no attempt to resolve.
- Any request outside the defined service list goes to a person.
- If the caller asks the same thing twice, transfer. This one rule prevents most bad experiences.
Attach the transcript to the handover. Done properly, the transfer itself reads as competence.
1. GoHighLevel — AI call answering as part of a system
The others here are phone products that notify your CRM. GoHighLevel is a platform where answering the phone is one step in a workflow that was already running.
Its AI is four things sharing one contact record. Voice AI answers the phone, asks your qualifying questions and books into a live calendar. Conversation AI does the same on website chat, Facebook and Instagram messages. AI in SMS replies to texts and missed-call text-backs. And AI inside workflows writes the follow-up for no-shows and people who never booked, instead of sending everyone the same template.
The website-chat half has its own full walkthrough in AI chatbot for your website.
Because they run on one contact, a caller who rings, then messages on WhatsApp, then replies to a text is one conversation rather than three.
What it gets you: more booked jobs from the same number of calls, and fewer lost afterwards. The booking, reminder, no-show chase and review request all happen without anyone remembering.
How hard is it to set up: the settings are point-and-click. Pick a calendar, paste in your questions and set the transfer rules, and it can be live in an hour or two. What takes the afternoon is deciding what it should say. Pull your ten most common questions from real calls, instead of inventing them. Changing it later is a text edit, not a rebuild.
How it is priced: a flat monthly platform fee, with AI usage metered on top. The usage stacks three meters before telephony — voice engine, text-to-speech and language model tokens. The text-to-speech choice matters more than people expect: the premium voice option runs close to four times the base voice-engine rate per minute.
Where it stops: two real constraints. Voice AI only works on accounts using GoHighLevel's own phone service or Twilio. If you will not move your phone system, this is not your product. And there is no human answering option, so you are the backup. If you want a supplier who owns the phone entirely, Smith.ai or Ruby is the more honest fit. It also ships no dental, veterinary or dealership system integrations of its own.
Why can GoHighLevel turn answered calls into bookings?
Here is the short version of why.
Most AI receptionists answer the phone and then send you a note. In GoHighLevel, the AI, the calendar, texting and the CRM share one contact record, the single page that holds everything about one caller. So the answer can go straight to a booking and a follow-up:
- Trigger: a homeowner calls about ants while the owner is on a job.
- Action: Voice AI answers, asks her questions and books a slot in her real calendar. The contact is created with the call notes, and a confirmation text goes out.
- Result: the job is booked with reminders already running. If the caller hangs up instead, missed-call text-back sends a text within seconds.
A phone-only product stops at "you have a message". Somebody still has to call back, book and remind, and that is the step busy owners miss.
How to set it up: funnel, automation and follow-up
The receptionist only pays off when the call leads somewhere. This is the setup that turns answered calls into booked jobs.
The funnel: somewhere to book.
- In Calendars, create a booking calendar with your real service hours, appointment lengths, buffers and travel time.
- Build a short booking page in Sites → Funnels with your services and the calendar. This becomes the link in every text, so small business appointment scheduling works even when nobody picks up.
The automation: answer, catch and log every call.
- Put your business number on LC Phone or Twilio in Settings → Phone Numbers.
- In AI Agents → Voice AI, create an agent. Give it your business details, your ten most common questions from real calls, the booking calendar and the transfer rules above.
- Turn on missed-call text-back in Automation → Workflows. Anyone who hangs up gets a text within seconds: "Sorry we missed you. How can we help? You can also book here."
- Add Conversation AI to web chat, SMS and social messages with the same knowledge, so every channel gives the same answers.
- Make sure every call creates or updates a contact with the transcript, so nothing lives in a notepad.
The follow-up: nobody slips through.
- Callers who asked about a service but did not book get a text an hour later with the booking link. One more follows the next day.
- Booked customers get a confirmation, a reminder the day before and a reminder two hours before.
- After the job, a review request goes out automatically, which is where reputation management software for a small business begins and what keeps your Google Business Profile climbing. If you have not claimed that listing yet, here is how to set up a Google Business Profile first.
What this changes: calls missed on a job now get answered and booked, or texted back within seconds. More jobs get booked each week without hiring anyone.
The result is more booked jobs from the same number of calls, without hiring a receptionist.
Why it usually works out cheaper
Every other option on this page is a bill on top of the CRM, booking tool and email platform you already pay for. GoHighLevel is the one where the receptionist is usage on a subscription that replaces those tools, because it is a full all-in-one marketing platform rather than a single phone product. So you combine several bills instead of adding one. Compared with the whole stack, not just a phone product, it is usually the cheapest option here. It is also the only one you can rebrand and resell, which is exactly how AI automation agencies package voice and chat for their own clients.
What the same subscription also covers
The receptionist is one feature of a platform. The same subscription also gives you:
- Voice & Conversation AI across phone, web chat and social
- CRM & pipelines — the contact record everything else runs on
- Calendars & reminders — booking and the confirmations behind it
- Funnels & forms — the pages that capture the lead in the first place
- Email & SMS campaigns — the nurture and broadcast layer
- Review requests — reputation triggered by the finished job
- White-label resale — rebrand the whole thing and sell it as your own
That is why the fair comparison is not "receptionist versus receptionist" but this stack versus the pile of separate subscriptions it retires.
2. Smith.ai — published prices, and the only real fit for law firms
Smith.ai sells two separate products, an AI receptionist and a human one. That matters, because it is the only vendor here where you can start on AI and escalate to people without changing supplier.
It is also the only one with built-in Clio Grow and Clio Manage integrations and a conflict-check add-on. Those exist only for legal work.
What it gets you: a qualified, well-briefed enquiry instead of a voicemail. That is most valuable when one saved call pays for a month of the service.
How it is priced, from their own rate card: the AI receptionist starts free for 25 calls, then $150 a month for 75 to 300 calls, and $500 for 300 to 1,000. Human receptionists start at $300 for 30 calls and run to $2,100 for 300. Web chat is a separate subscription with its own quota, from $140.
Watch the add-ons. This is the real cost story, and it is arithmetic from their published rates. Appointment booking, SMS notification, follow-up, call recording and routing together add $4.25 per call on top of a $2.00 base — more than tripling it. Transfer destinations beyond your plan allowance are $15 a month each, which a multi-department business hits quickly.
What the AI cannot do here: the AI and human products are billed separately, with separate call limits. Voice and chat are separate too. There is no single bucket across channels, and no practice-management or dealership integration.
Where it stops: per-call pricing is the worst possible model for a high-volume, low-value business. A busy salon or restaurant should not be here.
3. Numa — car dealerships only, and no published price
Numa is good at what it does. What it does is car dealerships, and nothing else.
That single fact disqualifies it for most readers of this article, and it is strange how many comparison lists omit it. If you do not run a dealership, skip this entry.
What it gets you: for a dealer, a fixed-operations phone that stops ringing out, with service appointments booked against the dealer management system.
How it is priced: nothing is published. Pricing is per rooftop, so a six-site group pays six times, and the agent catalogue is structured as add-ons. Numa also offers a pay-per-AI-booked-appointment model, which is especially attractive for a service department that can attribute revenue per appointment. Every figure circulating online for Numa comes from competitor lead-generation blogs citing nothing, so I am not repeating any of them.
What the AI cannot do here: its value depends on integrating with your dealer management system, and the supported list is not published, so a dealer on an unsupported system loses the core benefit. It will also not carry a conversation onto another channel and act on it afterwards.
Where it stops: total pricing opacity, and a hard vertical ceiling. Numa's own scale claims — millions of calls answered, appointments rescued — are vendor-stated and not independently verified.
4. Podium — a good inbox, with the AI sold separately
Podium's reputation is deserved. Calls, texts, webchat and reviews arrive in one tidy inbox, and staff adopt it without training, which matters more than feature lists.
What it gets you: faster replies across every channel, and payment collected over text before the customer leaves the drive.
How it is priced: quote only. The main pricing page, the retail page and the home services page all end in "get a quote". You cannot budget for Podium without a sales call.
The thing to know before you buy: the AI is not in the base plan. AI answering is an add-on on top of Core or Pro. Two AI features, instant answers and call summaries, need Pro or above. Three separate charges run at once: the platform plan, the AI add-on and phones priced per unit. Home services also pay per technician. A multi-location or multi-technician business compounds all three.
What the AI cannot do here: it drafts and routes messages but will not build the follow-up. Someone still decides what happens on day three.
Where it stops: Podium's own conversion claims carry no study or sample behind them. Treat them as marketing, not evidence.
5. Ruby — humans, and the benchmark the AI is priced against
Ruby is not an AI receptionist and should not be sold as one. Its answering is entirely human, and its AI is back-office only — transcripts and sentiment analysis, included free on every plan.
It belongs in this comparison precisely because it is the control group. Ruby is the thing AI receptionists are priced against.
What it gets you: callers who believe they reached a well-run firm, which for high-consideration services is often what decides the enquiry.
How it is priced, from their own rate card: $250 a month for 50 minutes, $395 for 100, $720 for 200, and $1,725 for 500. Live chat is separate at $143 to $520, bundled with a receptionist plan for 20% off. Note that Ruby does not publish its per-minute overage rate, which is the one real gap in an otherwise transparent card.
What the AI cannot do here: nothing, because there is no AI answering layer. Cost tracks minutes directly and scales with every extra call.
Where it stops: the price rules it out at volume, and like Smith.ai's human tier it answers the phone without touching anything downstream. There is no WhatsApp, Instagram or Messenger answering.
6. Weave — dental only, and still in early access
Weave is a strong healthcare platform. Its AI receptionist, specifically, is far more limited than its billing on comparison lists suggests.
It is dental only, in early access, and available only to practices on Dentrix, Eaglesoft or Open Dental. Every other dental system is a waitlist, and non-dental healthcare is not served at all. Payment collection and multilingual support are listed as coming soon.
What it gets you: for a dental practice on one of those three systems, a front desk that recognises the patient on the line. Scheduling, recall and confirmation happen in one call.
How it is priced: quote only, per location, tiered Pro, Elite and Ultimate, with the top tier bounded at 15 phones.
What the AI cannot do here: no WhatsApp, Instagram or Messenger. Weave is healthcare-first and does not do social messaging.
Where it stops: check your practice management system is supported before anything else. That single fact decides whether this is the best option on the page or entirely unavailable to you.
So which one?
If a few high-value calls come in each week, and especially if you are a law firm, Smith.ai is the right answer. Its Clio integrations and conflict checks exist for you.
If you want people rather than software, Ruby does it best, and publishes what it costs.
If you run a dealership, look at Numa. If you run a dental practice on Dentrix, Eaglesoft or Open Dental, look at Weave. If neither describes you, neither product is really available to you.
If your team lives in a shared inbox and already buys reviews and payments as a bundle, Podium is good to use every day. Just accept a sales call to learn the price.
Do you want every call answered, booked and followed up for a service business? Are you happy to run your number on its phone system? Then GoHighLevel is the one to choose.
Where to go next
If the AI answering setup is something you would sooner buy than build, the done-for-you GoHighLevel snapshots load it into an account in minutes.
Or book a free consultation, where the AI answering setup gets scoped and priced in the same call.
Frequently asked questions
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About the author

Founder & Certified GoHighLevel Expert
Farhad is the founder of GHL Spark, where he builds and white-labels GoHighLevel SaaS platforms for agencies and SaaS operators. He writes about the parts of GoHighLevel that actually break in production — A2P registration, onboarding, support load and automation.
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