AI SDR Agents: AI SDR Tools, Software, and Companies Compared

An AI SDR agent runs the top of the funnel end to end. It is not a writing assistant that drafts an email when you ask it to. It works from a goal, picks its own next action, and keeps going until a meeting is on a calendar or the account is disqualified.

The work breaks into five jobs, and it is worth knowing which ones a given tool actually covers, because vendors describe all five and deliver three:

• Account and contact selection. It filters your target market to accounts matching the ICP, then finds the right people inside them and verifies the contact data.
• Research. It reads the company site, recent news, job postings, and funding events to find the specific reason to reach out this week rather than any week.
• Sequence writing and sending. It writes each touch against that research, spaces the sequence, and sends from a warmed sending domain with deliverability controls.
• Reply handling. It reads the response, classifies it, answers the routine objections, and routes anything unusual to a human.
• Booking. It negotiates a time and puts the meeting on an account executive calendar with the thread and research attached.

The last two are where the weaker tools fall down. Plenty of products will send you a lot of email. Far fewer will handle a reply that says "we are already using a competitor, what makes you different" without embarrassing you. When you evaluate, test reply handling first, because sending volume is the easy half.

Most of this category does not publish a price, which is itself the useful signal: pricing is sales-led because deals are sized to your headcount and contact volume, and the number that comes back is negotiable. Based on published plans and third-party reporting through July 2026, the market sits in three bands.

The enterprise band, roughly $40,000 to $70,000 a year. 11x publishes its Growth plan from $36,000 a year, and advisors reviewing real contracts report first-year totals nearer $50,000 to $60,000 once a 12 month commitment and implementation are counted. Qualified does not publish Piper pricing at all; third-party reports place list price between about $42,000 and $68,000 a year, and Piper requires Salesforce, so the true cost includes a CRM you may already be paying for.

The mid-market band, roughly $900 to $2,500 a month. Artisan lands here, priced against contact volume, quote only. AiSDR sits in the same range billed quarterly, with a reported solo tier from around $250 a month that is the cheapest genuine entry into the dedicated-platform category.

The per-seat band, $180 to $499 per user per month. Regie.ai prices this way on annual contracts with seat minimums. Per-seat pricing usually signals a tool that augments reps rather than replacing them, which matters when you are deciding what you are actually buying.

Then there is consumption pricing, which Salesforce uses for Agentforce SDR. Flex Credits work out to about $0.10 per agent action, or you can choose $2 per conversation at the org level. A realistic SDR sequence runs 35 or more actions across research, drafting, logging, and follow-up, so a single prospect costs $3.50 and up on the action model. Consumption pricing looks cheap in a demo and gets expensive at volume, which is the opposite of how buyers usually assume it works. We break the whole model down in the guide to Agentforce pricing and Flex Credits.

A marketplace agent is the fourth option and a different shape entirely: a flat monthly subscription from $29, no annual commitment, no implementation project, running on your own stack. It is the right first step when the question you are trying to answer is still "does an agent book meetings in my market at all", rather than "which platform do we standardize on".

The comparison every buyer runs is against a headcount, so it is worth using real numbers rather than the ones in a vendor deck.

An in-house US sales development representative in 2026 carries an average base around $55,000 to $60,000 with on-target earnings of roughly $83,000 to $85,000, split about 60/40 between base and variable. Fully loaded, once you add employer overhead, tooling and data seats, recruiting fees, and a share of management time, most companies land between $85,000 and $120,000 for year one, and one widely cited itemized estimate puts it as high as $154,000.

Two structural numbers matter more than the salary. Ramp time averages three months, the lowest the Bridge Group has recorded since 2010, though SaaS teams commonly report longer. And annual SDR turnover runs near 40%, roughly triple the US average across all roles, with average tenure around 23 months. Put those together and a company running a two-person SDR team is re-hiring and re-ramping someone most years. You are not comparing a $50,000 platform against a $95,000 salary. You are comparing it against a salary plus a recurring recruiting and ramp cost that never goes away.

That math is why the enterprise AI SDR platforms can charge $40,000 a year and still be an easy business case on paper. It is also why the business case collapses if the meetings are worse, which is the next section and the part most buyers skip.

Sometimes, in a specific shape of business, and the published data is more mixed than either the vendors or the skeptics admit.

On raw reply rate the gap has narrowed but not closed. Benchmarks tracking AI and human outbound show AI sequences at about 2.8% reply against 4.8% human in 2024, moving to roughly 4.1% against 5.2% by 2026. Teams that already had a working outbound motion before adding an agent report the largest gains, commonly two to three times more conversations, against a median baseline of a 2.4% reply rate and twelve meetings a month. That last detail is the one to hold onto: AI SDRs amplify a motion that works. They do not create one.

Two problems show up consistently once you look past reply rate. The first is deliverability. AI-sent email is spam-flagged at around 8% against 3% for human-sent, and inbox placement measured through Gmail Postmaster and SNDS runs about 71% for AI against 86% for human. A fifteen point placement gap compounds across a five-touch sequence and quietly eats the meeting-booked number at the end of it.

The second is meeting quality. At the average B2B SaaS company, account executive win rates on AI-sourced opportunities run 9 to 12 percentage points below human-sourced opportunities. Some of that is that a prospect who arrived through a volume sequence is genuinely less qualified, and some is that they show up to the call expecting something different. Either way, booked meetings is the wrong metric to judge an AI SDR on. Meetings held, and pipeline that survives to a second call, are the honest ones.

Where does that leave a buyer? The economics work best for high-volume motions with standardized messaging and deal sizes under about $25,000, where a shorter sales cycle absorbs a lower conversion rate. They work worst for enterprise motions where the first touch has to be genuinely well researched and the relationship is the product. If you sell six-figure deals to twelve named accounts, an AI SDR is the wrong tool and no pricing tier fixes that.

The category sells on annual commitments because that is where the economics work for the vendor. It is rarely where they work for a buyer testing a new channel. A few things are worth insisting on before you sign anything:

• Test reply handling, not sending. Send the agent five hard replies in the trial: a competitor objection, a pricing question, a wrong-person redirect, a "not now, ask in Q4", and a plain "who is this". Sending volume is commodity. Reply quality is the product.
• Ask for inbox placement data, not open rates. Open rates have been unreliable since privacy-protection features started pre-fetching images. Ask what placement the vendor sees through Postmaster on domains like yours.
• Confirm the sending domain arrangement. Who owns and warms it, what happens to the reputation if you leave, and whether your primary domain is exposed if a sequence goes badly.
• Get the total cost, not the platform cost. Data and enrichment, mailbox seats, implementation, and a required CRM are commonly separate lines. Qualified requiring Salesforce is the clearest example.
• Ask what happens at month four. Most contracts in this category are annual. Find out what you owe if the meetings do not hold, before you find out the hard way.
• Check the exit. Whether your sequences, research, and reply history come with you, or stay in the platform.

A monthly marketplace agent skips most of that conversation because there is nothing to exit. You deploy it, it runs on your stack against your CRM and mailbox, and you turn it off if it does not work. That is a worse deal for a vendor and a better one for a team that has not yet proven the channel. The broader checklist for evaluating any agent before you connect it to a live system is in our guide on how to vet an AI agent.

Where your CRM lives usually decides which half of this market is even available to you. Qualified's Piper requires Salesforce. Agentforce SDR requires Salesforce plus a Flex Credit or conversation commitment chosen at the org level, not per agent, so you are pricing your whole agent portfolio at once rather than one SDR use case. If you are on Salesforce and want agents without that commitment, the options and trade-offs are on our AI agents for Salesforce page.

HubSpot shops have an easier time, because most of the mid-market tools integrate natively and HubSpot's own agent tooling is priced separately from the CRM seats. See AI agents for HubSpot for how ready-made agents connect to workflows, sequences, and deal stages.

Whatever the CRM, the practical detail that decides whether reps adopt an SDR agent is where the handoff lands. If a booked meeting arrives as a CRM task nobody opens, it goes stale. If it arrives in the channel the team already lives in, with the research and the thread attached, it gets worked. Most teams route that through AI agents for Slack or Microsoft Teams for exactly that reason.

If the job you actually need covered is broader than outbound prospecting, the generalist page is AI agents for sales, which covers pipeline hygiene, forecasting, and post-meeting follow-up rather than first touch, and lead generation agents covers the inbound side.