AI sales agent: what they cost and which type you need

An AI sales agent runs the repetitive half of a sales development job on its own: it builds the target list, qualifies what it finds, sends outreach across several channels and updates the CRM behind it. Two families answer to that name, and they don't do the same job.

One family runs the whole loop with nobody watching. The other sits next to a rep who still presses send. This page separates the two, compares ten tools and prints what each one charges, because that's the number this category keeps quiet about.

What is an AI sales agent?

An AI sales agent is software that automates prospecting, lead qualification, multi-channel outreach and CRM updates. It doesn't work from a saved search: it works from an objective and a set of rules. It takes action instead of replying, and that one distinction separates it from a chatbot.

A chatbot waits for a question. An agent decides what to do next: it picks the account, writes the message, sends it, reads the reply and moves the record. You give it the ICP and the guardrails, and it won't stop to ask which step comes next.

The two types of AI sales agent

Google's own overview of this query splits the category in two and then leaves the reader holding two questions it never answers: outbound or inbound, and fully autonomous or a human in the loop. Both answers sit in this section.

Autonomous agents run the whole loop on their own

They find the leads, write the messages, handle the replies and book the meeting with nobody watching. You set the ICP, the positioning and the approval rules, then the agent works through the week. Nobody's rebuilding a saved search on Monday morning. The trade is control: an agent nobody supervises produces volume rather than pipeline.

Assistive agents work next to a human rep

Copilots research the account, draft the reply and flag what deserves attention. A person still presses send. They sharpen a rep who already has a list and a full calendar, and they don't fill either one. A team with nobody to sharpen gets very little back from one.

For a team of two to ten with nobody spare to supervise a machine, the autonomous family answers the question the assistive family leaves open: who goes on the list in the first place. Come to us instead if that list is the part you're still postponing to Friday.

What an AI sales agent does day to day

Three capabilities separate a real agent from a sequencer with a chatbot bolted on. Check each one against the demo you're about to sit through.

Prospecting and enrichment

The agent assembles the target list from databases, company sites and live signals rather than from an export that's out of date by Thursday. Timing is what that buys you. Median job tenure in the United States sits at 3.9 years, with 22 percent of employees in post under a year, so your market reshuffles its buying committees while your spreadsheet stands still. The same arithmetic hits the data itself: B2B databases decay by around 2.1 percent every month, close to a quarter of your list a year.

Multi-channel outreach

Email, socials, SMS, WhatsApp and calls, with the conversation history following the prospect across all of them. The channel count matters less than the reason for writing, and it isn't close. Volume without targeting takes the shortest route to a blocked domain, because Google holds bulk senders to a spam complaint rate below 0.3 percent and a list nobody filtered walks straight into it.

Qualification

The agent answers the prospect's questions from your own documentation, scores the thread against your playbook and routes what clears the bar. A human joins once the conversation deserves one. That scoring step is where the two families separate again, because an assistive agent shows you the score and an autonomous one acts on it.

The 10 best AI sales agents

Sorted into the two types rather than ranked one to ten, because the type decides far more than the ranking does. Six of these run the loop on their own. Four sit next to a rep who still presses send. And the first one charges for a team rather than for a seat, which changes the arithmetic more than anything you'll read below.

Autonomous agents. They start from your ICP and end at a booked meeting.

1. Gojiberry

Gojiberry runs two AI agents for teams of two to ten that haven't got traffic or a list yet. The first watches more than 30 buying signals: job changes, funding rounds, hiring, competitor engagement. The second writes to whatever clears your ICP filter, with the signal attached as the reason for writing.

• 🔔More than 30 buying signals: the agent watches them live, never a frozen export.
• 🎯ICP filtering first: nothing reaches your inbox that shouldn't.
• 📧Email waterfall across 15+ providers: contact data ships inside the plan.

A free plan opens the door. Pro costs 99 dollars a month for the whole team: 2 AI agents, 1,800 prospects contacted, and you're free to stop in month two.

Nothing else here charges per team instead of per seat. What we need back is a market that leaves traces, because quiet buyers don't give an intent layer much to read.

2. Artisan

Artisan sells Ava, a virtual BDR for teams that would rather hand the job over than operate a tool. She pulls from a bundled database, writes the sequences, answers replies and books the meeting. An autonomy setting decides how much she sends before you've read it.

• 🤖Autonomous replies and booking: you set the approval rules yourself.
• 📚250M+ verified contacts: the database ships inside every plan.
• 🧰A dialer add-on: it briefs each rep before the call.

The pricing page shows Team, Scale and Enterprise, and you won't find a figure next to any of them. Third-party write-ups put annual contracts around 50,000 dollars.

Every plan ships with a CSM and a guided rollout. None of them ships with a number you can put in next year's budget before you take the call.

3. 11x

11x sells two workers: Alice for outbound and Julian for the phone. Alice prospects, personalizes, handles replies and books meetings. The managed infrastructure carries the pitch, because mailboxes, domain setup, warmup and rotation live inside the plan rather than beside it.

• 📨Managed mailboxes: warmup, rotation and domain monitoring come with the subscription.
• 🔁Two-way CRM sync: every tier includes it.
• 💰Billing per lead: your touchpoint count doesn't move the invoice.

Growth starts at 3,750 dollars a month billed annually for up to 5 end users and 2,000 new prospects. The FAQ quotes 36,000 a year, so you'll want to ask which number applies. We mapped the best 11x alternatives separately.

Bundling the mailboxes and the warmup removes four line items that usually surprise people. Then you read the entry price, and you're weighing Alice against an SDR salary.

4. AiSDR

AiSDR does the thing almost nobody else here does: it publishes every tier. The agent researches each contact, writes, follows up and hands you the replies, and the meter counts researched contacts rather than seats, so you're not paying for headcount.

• 📝Every price published: you budget without booking a sales call.
• 👥Unlimited users from the middle tier up: headcount stops moving the bill.
• 🔗Two-way HubSpot and Salesforce sync: replies land where your pipeline lives.

Solo costs 250 dollars a month for 200 researched contacts, Explore 900 for 800 and Scale 2,500 for 2,500. Only Solo runs contract free, so the tiers above want a quarter up front.

Publishing the whole grid counts as a feature on its own here. The catch waits between the tiers, where each step triples the allowance and the invoice that's attached to it.