Best AI SDR agencies and tools

The ten at a glance

Every price above was read off the vendor's own website in October 2026. Where a vendor publishes nothing, this page says so rather than repeating a figure from a comparison roundup, because those figures turned out to be wrong more often than right.

"AI SDR" means two different products

This is the thing to settle before comparing anything, because the term covers two businesses that share almost nothing.

An AI SDR platform is software. You buy a seat or a usage allowance, connect it to a data source, configure sequences, supply or purchase a contact list, set up and warm the sending infrastructure, and then operate it. The AI writes and sends. Everything around the AI is your job. When replies stop, that is your problem to diagnose.

An AI SDR agency is a service. Somebody else builds the list, owns deliverability, runs the campaigns and is accountable for the result. Whether AI or a person writes the email is an implementation detail from the buyer's side.

Most people typing "AI SDR agency" into a search box want the second thing. Most of what comes back is the first. That mismatch is why so many of these engagements end early: a team bought software expecting an outcome and received a tool.

The honest test: after you pay, who builds the list and who owns deliverability? If the answer is you, it is software, whatever the website calls it.

The four standards everyone here is judged on

These four questions separate the options that will produce meetings from the ones that will produce a configuration project.

1. Is it a tool or a service? Covered above, and it is the first filter, not the last.

2. Can you see the price before a sales call? Four of the ten publish one. With an unpriced product the number tends to move depending on how you answer the discovery questions.

3. Is there a way to see it work before you pay? Platforms usually offer a free tier or self-serve usage, which is a genuine advantage over agencies. Most agencies ask for three to six months up front.

4. What happens on a reply? This is where AI earns its place or does not. Ask how fast a reply is answered, what the AI does with it, and whether it can actually book without a human.

The column where Grow Surely reads worst is the third one on the platform side: there is no self-serve version, no free tier and nothing to try at nine o'clock at night. The pilot is a real trial but it runs on a call, not a credit card.

1. Grow Surely

Best for: teams who want AI execution without buying, configuring and operating the AI themselves.

Grow Surely is an agency rather than a platform, and the AI is in the execution layer rather than the product. Campaigns are built with AI, and replies are handled by a model fine-tuned on roughly three years of the agency's own human appointment-setting conversations rather than on generic sales data.

What that system does on a reply, in order: it reads the prospect's website and company before answering, replies in under a minute, reads the client's calendar, offers times that suit the prospect and books the meeting directly. If a prospect says to come back next week, it comes back exactly next week. Follow-ups change angle rather than repeating the same message.

Since that reply system went live, it has booked three times as many meetings from the prospects who reply compared with the period when humans handled replies. That figure covers the last three to six months and is the agency's own measurement, not an audited one.

Pros. Under a minute to reply, every time, which is the one thing on this page that genuinely cannot be done by a human team. Sixteen published case studies with named clients and revenue figures, where most of this category publishes aggregate claims. The underlying reply-rate data is published in full across 6,074,430 emails, including the unflattering parts.

Cons. Email only, so no phone or LinkedIn layer. No self-serve product, so there is nothing to trial without talking to someone. Replies run fully autonomously with no human approval step before sending, which is a real capability and also a real risk that some buyers will not accept. And the 3x is an internal before-and-after over a few months rather than a long-run audited figure, so treat it as directional.

"We get 90%+ meeting show-up rates. That's 30% more than any other agencies we've worked with."

James Cook Managing Director, Bound Marketing

2. Belkins

Best for: buyers who want AI assistance without betting on an AI-first vendor.

Belkins is the most reviewed agency in the category, at 4.9 across 230+ Clutch reviews built over 800+ clients since 2017. It uses AI inside a human-led process rather than selling autonomy, which is the conservative choice here and a defensible one given what has happened to the autonomous end of the market.

Pros. The largest verified review base here by a wide margin, and a pay-per-appointment option at a reported $300 to $800 per meeting that shifts risk off the buyer.

Cons. Not an AI-first product, so if you specifically want autonomous reply handling this is not it. No published pricing and reported minimums of three to six months. There is a longer comparison in Belkins alternatives.

3. Martal Group

Best for: teams who want named people accountable alongside the automation.

Martal rents fractional SDR capacity across email, LinkedIn and phone, with 4.8 across 109 Clutch reviews and an operating history back to 2009. The AI sits underneath a human team rather than replacing it.

Pros. Seventeen years of operating history, which in a category this young is worth something on its own.

Cons. The pilot is reported at three to four months, and public reviews cite limited visibility into the data and sequences. There is a longer comparison in Martal Group alternatives.

4. SalesHive

Best for: AI-personalised email at volume, with onshore callers attached.

SalesHive runs AI-personalised email alongside a US-based calling team, at a scale almost nobody else here matches: 129,000+ meetings booked across 2,285 clients.

Pros. Genuine process maturity across thousands of accounts, with both channels under one roof.

Cons. The AI is a personalisation layer rather than an autonomous agent, so this is not a replacement for an SDR function. Nothing published on price.

5. OutreachBloom

Best for: a published agency price at the lower end.

OutreachBloom publishes from $2,400 a month for cold email covering 10,000 to 100,000 contacts, and states on its own site that it is built for B2B SaaS and services companies of 10 to 200 employees.

Pros. Publishes pricing across the whole catalogue, which almost nothing in the AI half of this page does.

Cons. Not positioned as an AI SDR, so autonomy is not the offer. The service range has widened quickly into AI visibility work at $3,400 to $4,900 a month and Reddit marketing at $1,900.

6. AiSDR

Best for: trying an AI SDR without a contract or a sales call.

AiSDR is the most transparent vendor in the software half of this page. Pricing is usage-based at $1.50 per person prospected with no monthly fee, charged daily, cancel anytime, and the site states that research, lists and writing cost nothing extra. Team plans move to quarterly contracts with up to 40% lower cost per contact, and an annual plan takes another 20% off.

Pros. The lowest-commitment entry point in the category by a distance. It also sells a fully managed service at $2,500 a month and per-campaign management at $149, so you can move from tool to service without changing vendor.

Cons. It is still software, so deliverability and strategy remain yours unless you buy the managed tier. The pricing FAQ contradicts itself on the minimum campaign spend, quoting both $7.50 and "as little as from $3".

7. Regie.ai

Best for: helping the reps you already have, rather than replacing them.

Regie.ai is explicitly human-in-the-loop, which after the past two years reads less like a limitation and more like a position. It is also the cheapest real entry point here: a free tier, $41 a month for one person, and $125 per seat for teams of two or more, all self-serve with no contract.

Pros. A genuine free tier, published pricing, and no contract. If you have reps already, this is the lowest-risk way to find out whether AI helps them.

Cons. It will not run outbound for you, and it is not trying to. If the goal is pipeline without hiring, this is the wrong half of the page.

8. 11x

Best for: teams committed to full autonomy, who have read the coverage first.

11x is the most visible name in the category and sells two agents: Alice for outbound and Julian for inbound, scheduling and voice. The product is genuinely ambitious and the marketing is the most aggressive here.

It also comes with a public record a buyer should know about. TechCrunch reported in March 2025 that 11x had displayed the logos of companies which said they were not customers, naming ZoomInfo and Airtable, and raised questions about how annual recurring revenue was being counted against contracts that had not cleared a roughly 90-day break clause. Sifted separately reported that at least 70% of customers did not continue past three months in summer 2024. The company disputed the characterisation, and its founder stepped down as chief executive in May 2025.

Pros. The broadest agent surface here, covering outbound, inbound, voice and scheduling in one platform.

Cons. No published pricing. The retention reporting above is the single most relevant fact for anyone buying on an annual contract. Worth noting too that its own site lists responding in under 60 seconds as a goal and reports a best speed-to-lead result of under 20 minutes, which is a gap between the promise and the published number.

9. Artisan

Best for: teams who want one platform covering data, email and dialling.

Artisan sells Ava, an all-in-one AI BDR bundling data, email and a dialler, with credit-based pricing scoped to lead volume, mailboxes and dialler seats.

Pros. The bundling is real: data, sending and calling in one contract rather than three.

Cons. The pricing page describes its structure but returns no figures to anything other than a browser, and published roundups disagree about the entry price by a factor of five, quoting $280 a month in one place and $1,500 to $2,000 in another. Assume you will have to ask.

10. Qualified

Best for: converting traffic you already have, not finding new accounts.

Qualified's Piper is an inbound AI SDR. It works your website: live conversations with visitors, email follow-up to inbound leads, meeting booking and personalised offers. It is the odd one out here and worth including precisely because buyers conflate the two jobs.

Pros. If you already have meaningful website traffic, converting it is cheaper than buying new attention, and Piper is built for exactly that.

Cons. It does no outbound at all, so it cannot create demand where none exists. Pricing is unpublished and tiers start at 250,000 monthly web sessions, which tells you the size of company it is built for.

What the roundups get wrong about pricing

Every price on this page was read off the vendor's own website in October 2026. That was not the original plan, but checking a handful against the comparison articles produced enough disagreement to make the check the story.

Two of those are not small errors. A buyer who budgeted from the Regie.ai figure would have planned for roughly $21,600 a year on a ten-seat minimum that does not exist, against a real cost of $1,500 for the same ten seats. A buyer reading the AiSDR tiers would have expected a monthly subscription from a vendor that does not charge one.

Why this happens. AI SDR pricing has changed repeatedly in a young market, roundups copy each other rather than the source, and nobody updates an article after publishing. The fix takes two minutes: open the vendor's own pricing page before you believe any figure, including the ones on this page.

The same discipline applies to performance claims. An agency or platform quoting a reply rate without saying whether it counts automatic replies is quoting a number roughly twice its real size, which is covered in full in the benchmarks from 6 million emails.

What actually breaks, and why

The failure pattern in this category is consistent enough to describe. An autonomous tool is bought on an annual contract, connected to a mediocre contact list, pointed at a segment defined too broadly, and left to send. Replies are thin, the replies that arrive are handled slowly or badly, and the contract is not renewed. The reporting on 11x's retention is the most public version of a problem that is not unique to 11x.

The AI is rarely the part that fails. What fails is everything around it: the list, the segment definition, the sending infrastructure, and what happens in the hour after someone replies. Those are operational jobs, and software does not do them because software was not sold to do them.

That is the real argument for the service half of this page, and it is also the honest limit of it. Buying an agency does not make the problem disappear, it moves the problem to someone whose contract depends on solving it.

Where AI genuinely changes the outcome is the reply window. A prospect who replies at 11pm on a Tuesday is interested at 11pm on a Tuesday. A human team answers that the next morning at best. Answering in under a minute, reading the prospect's site first, and booking straight into a calendar is a different experience from the prospect's side, and it is the one part of this category where the technology is clearly better than the alternative rather than merely cheaper.

The arrangement that works is not AI instead of people or people instead of AI. It is a human deciding who to target and what to say, and AI doing the execution: building the campaign, answering fast, following up on the right day, never dropping a prospect who asked to be contacted next week.

Five questions to ask before you sign

These separate the options quickly, and three of them are uncomfortable on purpose.

1. After I pay, who builds the list and who owns deliverability? If the answer is you, it is software. Price it as software.

2. How fast does a reply get answered, and by what? Ask for the median, not the best case. The gap between a stated goal and a measured result is where most of the marketing in this category lives.

3. What share of the replies you report are automatic? Roughly half of all replies to cold email are out-of-office or bounce notices. A vendor who cannot answer this is reporting a number about twice its true size.

4. What is your three-month retention? Blunt, and the single most informative question you can ask an AI SDR vendor given the published reporting on this category.

5. Can I cancel, and when? Several options here are month to month or usage-based. Several are annual. That difference matters more than any feature comparison when the thing you are buying is unproven in your market.