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Smith.ai vs Ruby Receptionists: which one actually fits a small shop (2026)

Both bill you for humans answering your phone, and they bill very differently. Real 2026 pricing, the call-versus-minute trap, and who each one is genuinely right for.

Disclosure up front: Bloombilt sells an AI front desk, so we compete with both companies below. We wrote this because the comparison you find elsewhere is usually written by one of them, or by an affiliate getting paid per signup. We’ll tell you where each one wins, including against us.

Smith.ai and Ruby are the two names that come up when a small business decides voicemail is costing real money. They look similar from the outside: real people answer your phone, take a message or book something, and you pay a few hundred dollars a month. The difference is in how they count, and that difference decides which one is cheaper for you by a wide margin.

The pricing, as published today

Checked on both companies’ own pricing pages on 2026-07-26. Verify before you sign, because both have moved prices in the last year.

Smith.aiRuby
Entry plan$300/mo$250/mo
What that buys30 calls50 minutes
Next tier$810/mo, 90 calls$395/mo, 100 minutes
Tier above$2,100/mo, 300 calls$720/mo, 200 minutes
Top published tierEnterprise, custom$1,725/mo, 500 minutes
Overage$11.50 to $8.50 per call, better at higher tiersNot published on the pricing page
Billing unitThe callThe minute

The one thing that decides this

Smith.ai bills per call. Ruby bills per minute. Everything else follows from that.

Work out your own number before you look at anything else. Take a normal month, count your inbound calls, and estimate how long the ones a receptionist would handle actually run.

  • Short calls, lots of them. Ruby punishes you. Fifty minutes of included time disappears fast when every caller takes three to four minutes, and you are into overage while Smith.ai would still be counting calls, not clock.
  • Fewer calls, longer ones. Smith.ai punishes you. Thirty calls is not many for a busy trade shop, and $11.50 for each one past that adds up quickly.

A shop taking 60 calls a month at three minutes each is 180 minutes. On Smith.ai that’s the $810 tier plus nothing, or the $300 tier plus 30 overage calls at $11.50, which is $645. On Ruby that’s past the $395 plan’s 100 minutes and into the $720 tier. Run your own version of that math with your own call log. It is the whole decision.

The trap people hit with per-minute billing is what gets counted. Ruby’s own reviewers consistently raise after-call work being on the meter. Ask them directly what starts and stops the clock and get the answer in writing.

Where Smith.ai genuinely wins

Professional services. Law firms, accountants, consultants, anyone whose caller is a prospective client worth thousands and who expects a person. Smith.ai staffs real receptionists, has no overseas agents per their own page, and does intake workflows well: pre-screening, custom question sets, qualifying before the call ever reaches you. If your average new client is worth $5,000, the per-call price stops mattering.

They also publish a 30-day money-back guarantee and no setup fee, which is more downside protection than most of this category offers.

Where Ruby genuinely wins

Brand feel and tenure. Ruby has been doing this a long time and it shows in how the calls sound. If your business runs on a warm, human, unhurried phone experience, and your callers would be annoyed by anything that sounds like software, Ruby is the safer pick. Their live chat plans also bundle with the phone service at a discount, which is a real saving if you want both.

Ruby now includes AI enhancements in every plan at no extra cost, per their pricing page. If you want a human-first service with some automation underneath rather than the reverse, that’s the shape of it.

Where both of them lose

Cost per answered call is high, because you are paying humans. That is the honest tradeoff of the entire live-receptionist category. For a plumbing or HVAC or landscaping shop where most calls are “can someone come look at this,” you are paying professional-receptionist rates for work that is mostly intake and scheduling.

Neither one knows your business on day one. They work from a script you build. A script is not the same as an agent that has read your service area, your brands, your fees, and your FAQ. You will spend real time getting either one to answer basic questions correctly, and you will keep spending it as things change.

After-hours parity costs more. Nights and weekends is when the calls you actually lose come in. With per-minute or per-call billing, the hours that matter most are the hours that cost most.

The third option, stated plainly

We build an AI front desk from your own website before you pay anything, so it already knows your service area, your services, and your FAQ the first time you call it. It answers, books onto your calendar, texts back the hang-ups, and escalates the calls that need a person to your on-call phone. We quote per shop against your real call volume instead of publishing a tier, because a 20-call-a-month shop and a 200-call-a-month shop should not be shopping from the same page.

The honest tradeoff: we are a small, young company. You get founders who answer the phone and a product that changes weekly, not a big vendor’s help center and account management. And if your callers genuinely will not talk to software, Ruby is a better fit than we are. That is a real segment and we are not going to pretend otherwise.

How to actually settle it

Call all three demos and ask the same three questions: what’s your service call fee, do you work on my brand of equipment, and can someone come out tonight. You will learn more in fifteen minutes than in a week of comparison tables, including this one.

Then get the billing definition in writing. Per call or per minute, what starts the clock, what counts as after-call work, and what happens in your busiest month. That is where the surprise lives.

Want to hear one built from your own website first? Book fifteen minutes and you can call it yourself.