10 AI SDR Tools for 2026: Fit, Pricing, and Limits

The popular pitch for AI SDR tools is that you hand an agent an ICP and walk away. That pitch doesn't match how these products really run. A 2025 Bridge Group study of 351 B2B companies measured AI SDRs as their own category for the first time and found only 1% of respondents using that model, per coverage from IVRIS Tech. Broader "AI in sales" counts include copilots, draft helpers, and enrichment. They do not mean a robot owns the book.

Every tool below still needs a person to define targeting, approve messaging, and watch deliverability. The key decision is how much autonomy you grant and how much weekly review the team will carry. I sort this list by operating model, not feature count: guided outbound agents, sales platforms with an AI layer, a workflow builder, and one inbound website agent. I also flag public prices versus quote-only plans, and where you can wire the agent into REST, webhooks, or MCP instead of living inside one UI.

Treat limits as seriously as strengths. Contact caps, seat caps, mailbox add-ons, and missing approval gates are what break a pilot.

Table of Contents

• 1. AiSDR
• 2. Artisan Ava
• 3. 11x
• 4. Salesforge Agent Frank
• 5. Reply.io Jason AI
• 6. RegieGO
• 7. Amplemarket Duo
• 8. Apollo.io
• 9. Clay
• 10. Qualified Piper
• How the 10 AI SDR tools differ on operating model, pricing visibility, and fit
• Pick the Operating Model Before the Vendor

1. AiSDR

AiSDR is a dedicated outbound agent for teams that want a published plan instead of a sales call. AiSDR researches contacts, writes personalized email and LinkedIn, handles replies, and books meetings. Ami helps you lock targeting and campaign strategy before anything sends. Autopilot and copilot are both available, so you can start with review and loosen it later.

Mailbox setup and warmup sit inside plan limits, which is the part lean teams usually forget to budget. HubSpot sync is two-way. Salesforce sync shows up on the highest listed plan, so don't assume CRM parity on day one.

What I would buy it for: a solo operator testing AI-led outbound with a visible contact allowance.

• Solo ceiling: one user and 200 AI-researched contacts per month.
• Contracts: Explore and Scale run on quarterly terms, not month-to-month.
• Plan gates: CRM, channel, and mailbox limits change by tier.

If you are building the agent yourself, keep enrichment outside the sequencer. Builders who want that split can look at data for AI SDR products and call it before drafts go out.

2. Artisan Ava

Ava from Artisan is built to cover sourcing, enrichment, multichannel outreach, reply handling, and meeting booking in one agent. Approval controls and messaging guardrails are the actual product decision. Turn them tight, and Ava is a copilot. Turn them off, and you are running autonomous outbound.

A 2025 survey of more than 1,000 B2B software buyers, covered in the G2 AI sales report, found 60% using AI in sales, with AI SDRs as the leading use case. Separate prospecting research in that same report found 45% on a hybrid model, 22% fully replacing SDR activity with AI, and 23% using no AI. Ava can sit in either camp. Teams that cannot yet vouch for reply quality should keep a hybrid model until it holds.

Practical rule: keep approval on for the first segment, then expand autonomy only on the messages a human would have sent unchanged.

Paid pricing is scoped to the team, not a simple public rate. Onboarding and support come with team plans. If you already own prospecting and sequencing, Ava can be more product than you need.

3. 11x

11x splits the job. Alice runs outbound research, personalization, multichannel outreach, replies, and booking. Julian handles inbound calls and chats. Email, LinkedIn, phone, and extra messaging depend on how you configure the account.

The published Growth plan is one of the few enterprise-shaped offers with a starting price and a prospect allowance on the page. It bundles managed mailboxes, warmup, inbox rotation, CRM sync, and onboarding. That bundle matters, because sending infrastructure is where cheap agents get expensive.

McKinsey's 2024 Global Survey found marketing and sales had the largest jump in generative AI adoption, while only 21% of commercial leaders said their companies had fully enabled enterprise-wide generative AI in B2B buying and selling, and 22% had piloted specific use cases, as reported in The state of AI. 11x fits the pilot-to-program path, not a weekend test.

Growth is billed annually, capped at five end users and 2,000 new prospects per month. Pro and Enterprise are custom. I would only shortlist it if volume and budget are already real.

4. Salesforge Agent Frank

Agent Frank on Salesforge finds prospects, personalizes email and LinkedIn, follows up, handles replies, and books meetings. You pick autopilot or copilot. Pricing tracks active contacts rather than seats, which is easier to compare against campaign volume than a per-user bundle.

You also get Salesforge itself so a human can review what the agent did. Multiple languages and contact search are included. The catch is commercial, not conceptual. There is no free trial, and you need a demo. Email domains and mailboxes can cost extra. The pricing page describes annual and quarterly terms differently, so confirm the contract before you model cost per meeting.

Outreach's 2025 prospecting research said 87% of teams rated AI-driven SDRs effective or very effective, while an independent 2025 GTM survey of 1,002 professionals found 42% dissatisfied with AI tools over data quality, security, and hallucinations, as summarized by Outreach. Frank will not fix a bad contact file. Put a verification gate in front of any autopilot send.

5. Reply.io Jason AI

Jason AI lives inside Reply.io, so you are buying an agent and a sequencer together. It can read your site or uploaded materials, suggest an ICP and offer, build multichannel sequences, personalize, reply from a knowledge base, and schedule meetings. Approval mode or automatic sending is the control you should decide before you import a list.

Public pricing is a real advantage against quote-only agents. So is documented API and MCP access if you want the agent called from your own jobs, not only from the UI. That is the integration pattern I prefer for GTM engineers: the platform sends, your code decides who is eligible.

• Price gap: AI SDR tiers cost materially more than Reply's basic sequencing plans.
• Caps move: contact volume, LinkedIn accounts, and included services change by tier.
• Hidden work: mailbox setup and deliverability still sit on your team.

I would not turn automatic sending on until a human has passed a week of replies.

6. RegieGO

Regie sells RegieGO as a self-serve stack: research, enrichment, drafting, AI agents, and a power dialer on paid plans. Email goes through a connected Gmail or Outlook account. You can use the built-in CRM or connect HubSpot, Salesforce, or Monday.

The free plan does not ask for a card. Paid plans are listed with no contract, which is rare in this category. Enrichment is free when no result comes back, so a miss does not silently burn budget. Credits still depend on what you run, and paid credits reset instead of rolling over. Pro is one person. Paid Team needs at least two seats.

Buyer research cited by Business Wire found fear of inaccuracy was a leading barrier to interacting with AI at 41%, with security concerns at 40%. RegieGO is a good evaluation box because you can watch credit burn and message quality before a contract. It is not a hands-off SDR.

7. Amplemarket Duo

Duo on Amplemarket is a copilot inside a broader data and engagement platform. It watches buying signals such as job changes, funding, and engagement, then hands reps context and personalized multichannel sequences. Custom signals can come from the CRM or an API, which is how you keep your own scoring model in charge.

The Startup plan is the public price, and it includes Duo Copilot with data and sequences. Higher tiers are custom. If you only want an agent and you already own data and sending, the full platform can be more than the job.

In 2025, 37% of sales representatives surveyed by HubSpot said they use AI tools, while 84% said AI saves time and optimizes processes, according to the HubSpot sales strategy report. Duo matches that pattern: the rep still launches. The agent tells them who moved and what to say. Confirm which Duo features, integrations, and agent actions sit on the plan you buy.

8. Apollo.io

Apollo is sales intelligence with an AI Assistant, not an autonomous SDR. You search contacts and companies, research, enrich, draft, and build sequences, then a person reviews and launches. A free plan and listed paid plans make the cost model visible, which quote-only agents refuse to do.

A 2024 Salesforce study found 81% of sales teams were experimenting with or had fully implemented AI, and 83% of AI-using teams saw revenue growth the prior year versus 66% without AI, as reported by Salesforce. That gap is not proof an agent booked the meetings. It does explain why teams want research and prioritization in the same place as the sequence.

Per-seat pricing plus credit limits will climb as you add users. Some AI actions burn credits or sit behind a tier. Waterfall enrichment is on eligible plans only. I would pick Apollo when the team still owns campaign review and wants one database plus outreach, not when the brief is "replace the SDR."

9. Clay

Clay is the workflow builder in this list, not a turnkey AI SDR. Clay lets you waterfall sources, score accounts, research with Claygent, and draft personalization. CRM sync and native sequencing depend on the plan. A free plan and unlimited users, per its pricing information, make it workable for ops teams who share one table.

The trade-off is operator time. Someone has to design the columns, set failure rules, and decide where the finished rows get sent. Data credits and action charges are separate meters. If your targeting is weird or multi-source, that flexibility is the point. If you want an agent that books meetings next week, it is the wrong shape.

Teams comparing enrichment layers rather than sequencers can review Clay alternatives for GTM data before they lock a credit model into the workflow.

10. Qualified Piper

Piper from Qualified is the inbound exception. It talks to website visitors, answers from your content, qualifies against your rules, and routes or books meetings beside Salesforce and your existing SDRs. It can run on its own or next to a rep. It does not build a cold outbound book.

Pricing is not a simple public AI SDR plan. The fit test is traffic plus a Salesforce-centered motion. Thin traffic makes a smart chat agent an expensive lobby. If you are wiring visitor signals into your own stack, the path from page to qualification is covered in website pixel to stack qualify.

Don't judge Piper on meetings booked from a cold list. Judge it on qualified conversations from people who already showed up.

How the 10 AI SDR tools differ on operating model, pricing visibility, and fit

Pick the Operating Model Before the Vendor

Decide the operating model before you book demos. Write down how much autonomy you can defend if a prospect asks who wrote the email, and name the person who will review outputs every week. Then shortlist two or three tools that match that model.

• Guided outbound agent: AiSDR, Ava, Alice, or Frank, with approval on until a segment proves itself.
• Platform plus AI: Jason AI, RegieGO, Duo, or Apollo, when sequencing or data already lives there.
• Build it: Clay, plus your own send path, webhooks, and review queue.
• Inbound only: Piper, and only with real site traffic.

Run one segment, not the whole TAM. Keep approval controls on. Measure positive replies and meetings against credits, seats, mailboxes, and the hours a human spends fixing bad rows. Expand only when those numbers hold for a second week on the same rules. A spike from a lucky list is not a system.

I would not grant full autopilot to any of these tools on day one. Contact data goes stale, titles get hallucinated, and a warmed mailbox can still land in spam if the agent sends too fast. The setup you can monitor, correct, and explain to a prospect is the one that survives.

If the agent is something you are building, RichAPI is the data layer under it: 65+ GTM endpoints for people, company, email, phone, and signals, called over REST or MCP, with waterfall routing across 40+ providers and no credit charge when an email or phone miss fails verification. That keeps the sequencer from inventing a contact your team cannot defend.

If you are wiring an AI SDR into your own jobs, we put enrichment, people search, and verified email and phone finding behind one API key your agent can call before it drafts. Waterfall logs show which provider answered, and misses on email and phone do not spend credits. See how that fits your stack at RichAPI.