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Best AI Outbound Sales Agents for B2B Teams in 2026: 11x vs Artisan vs AiSDR vs Salesforge Agent Frank vs Regie.ai

Compare 11x, Artisan, AiSDR, Agent Frank, and RegieGO on autonomy, data, channels, pricing, deliverability, and human oversight.

Best AI Outbound Sales Agents for B2B Teams in 2026

Choosing an AI outbound sales agent is not mainly a question of which tool can send the most messages. The real decision is how much of your outbound process you want software to own—and how much risk your team is prepared to supervise.

A fully autonomous agent may identify prospects, research accounts, write outreach, send follow-ups, handle replies, qualify leads, and book meetings. A more controlled platform may perform the research and drafting but require a human to approve every message. Both approaches can be useful, but they suit different sales motions, data environments, compliance requirements, and levels of operational maturity.

This comparison evaluates 11x Alice, Artisan Ava, AiSDR, Salesforge Agent Frank, and RegieGO across autonomy, research, channels, reply handling, pricing visibility, deliverability, and governance. The goal is not to declare one universal winner. It is to help B2B revenue teams identify which operating model deserves a controlled pilot.

The short version

These are positioning-based recommendations, not independently validated performance rankings. Vendors’ customer results, reply rates, and ROI claims should be checked against your own pilot data.

Comparison framework: what matters before you buy

Use five questions to compare these products fairly:

  1. Autonomy: Does the system send automatically, queue drafts for approval, or support both modes?
  2. Evidence quality: Can you inspect the account data, signals, and sources behind personalization?
  3. Execution depth: Does it only draft messages, or can it manage follow-ups, replies, qualification, and calendar booking?
  4. Operational control: Can you define exclusions, escalation rules, approval gates, mailbox policies, and CRM write-back behavior?
  5. Economics: Are you paying per seat, lead, active contact, credit, mailbox, message, or a combination of these?

A useful evaluation should measure qualified meetings, sales acceptance, opportunities, pipeline, show rate, unsubscribe and complaint rates, and human oversight time—not only send volume or raw replies.

1. 11x Alice: broad autonomous execution

11x describes Alice as an autonomous outbound AI SDR that identifies prospects, researches accounts, personalizes messaging, runs sequences, handles replies, qualifies leads, and books meetings. Its documentation lists email, phone, LinkedIn, SMS, and WhatsApp as supported channels.

The breadth of that workflow makes Alice a candidate for teams that want an agent to operate across more than email. 11x also says Alice can work in more than 105 languages and uses a qualification agent to verify ICP fit before outreach begins. Its product information references signals such as job changes, funding, hiring, technology adoption, website visits, and review-site research.

The trade-off is that broader autonomy increases the importance of controls. Before enabling unsupervised sending, confirm how Alice handles exclusions, opt-outs, sensitive replies, qualification uncertainty, CRM updates, and escalations. 11x publishes Growth pricing, while Pro and Enterprise pricing are custom-quoted, so a meaningful comparison requires an all-in quote that includes infrastructure and implementation where applicable.

Consider Alice if: your team has a well-defined ICP, a multi-channel process, and the operational capacity to audit an autonomous agent.

2. Artisan Ava: large-scale prospect discovery and autonomous BDR work

Artisan positions Ava as an autonomous AI BDR that sources leads, writes personalized emails, handles replies, books meetings, tests message variations, and protects deliverability. Artisan says Ava searches more than 250 million verified B2B contacts across more than 200 countries.

Ava is therefore most relevant to teams that need prospect sourcing and outbound execution in one system. Artisan also highlights intent signals such as hiring and funding activity, alongside personalized multi-channel sequences and message-variation testing.

The key buying question is not simply how large the contact database is. Ask how often records are refreshed, how job titles and company attributes are verified, how duplicate or stale contacts are handled, and whether your team can inspect the evidence used in personalization. Large reachable audiences do not automatically translate into accurate targeting or qualified pipeline.

Artisan positions Ava primarily for enterprise revenue teams. That makes implementation details especially important: clarify onboarding ownership, CRM synchronization, approval settings, deliverability architecture, data governance, contract terms, and the boundary between automated and human-handled replies.

Consider Ava if: you need prospect discovery and autonomous BDR execution at substantial scale, and you are prepared to validate data quality during a structured pilot.

3. AiSDR: autonomous outreach with visible tiered pricing

AiSDR says its agent monitors public buying signals, researches prospects before writing, runs multi-channel sequences, handles common objections, qualifies replies, and books meetings. Its official product page lists email, LinkedIn, and phone as supported channels.

AiSDR’s published pricing provides more initial visibility than a fully custom enterprise quote. Its AI sales assistant pricing page lists Solo at $250 per month for 200 leads, Explore at $900 per month for 800 leads, and Scale at $2,500 per month for 2,500 leads; the page states that plans are billed quarterly.

Those figures should not be treated as total cost of ownership. Confirm what counts as a lead, whether unused capacity rolls over, and whether mailbox provisioning, data, CRM integrations, onboarding, or additional usage creates separate costs. AiSDR also says it manages infrastructure and deliverability, including separate outreach mailboxes and monitoring. That claim still deserves technical review: sender authentication, bounce handling, complaint monitoring, domain isolation, throttling, and unsubscribe processing remain important regardless of who operates the infrastructure.

Consider AiSDR if: you want a comparatively clear starting price and an agent that combines research, multi-channel outreach, reply handling, and meeting booking.

4. Salesforge Agent Frank: flexible autonomy and active-contact pricing

Salesforge describes Agent Frank as an autonomous AI SDR that finds prospects, researches companies and buying signals, creates personalized outreach, handles autopilot or co-pilot workflows, and books meetings. It supports more than 20 languages and uses active contacts as its pricing unit.

Frank can use email and LinkedIn senders, conditional multi-channel sequences, customer-provided knowledge-base materials, and either customer-owned or Salesforge-provided email infrastructure. It also supports personalization based on prospect websites, blog posts, and LinkedIn posts.

The active-contact model may be easier to connect to an operating campaign than a seat-based model, but it must be defined carefully. Ask whether a contact counts as active after a reply, a sequence enrollment, a data refresh, or any other event. Also ask how pricing changes as contacts move between campaigns and whether infrastructure costs are included.

Salesforge’s official page displays different starting-price figures in separate sections, including an annual-billing calculator and a separate FAQ price. Confirm the current quote, billing term, active-contact definition, sending infrastructure, and any minimum commitment before comparing Frank with tools priced by leads or credits.

Consider Frank if: you want a choice between autopilot and co-pilot operation, plus flexibility over mailbox ownership and outbound infrastructure.

5. RegieGO: evidence-backed assistance with human review

RegieGO combines account and contact research, enrichment, message drafting, email, dialing, and agent workflows. Regie says its messages are grounded in verifiable research and that users review every draft before it is sent.

That human-review requirement makes RegieGO materially different from the more autonomy-forward products in this comparison. It may be a better fit for teams that want to accelerate prospecting and personalization without allowing an agent to send unchecked claims or handle every reply independently.

RegieGO works across phone, email, and LinkedIn from one queue, and its outbound workflow includes list building, enrichment, research, drafting, and follow-up. Regie publishes a free plan with 250 one-time credits, a Pro plan at $49 per month with 5,000 monthly credits, and Enterprise pricing by quote. Credits can cover activities such as research, drafting, enrichment, and dialing, so compare expected activity consumption rather than monthly credit totals alone.

Consider RegieGO if: message evidence, approval controls, and a human-in-the-loop process are more important than fully autonomous sending.

Side-by-side comparison

| Platform | Operating model | Research and signals | Channels or infrastructure | Pricing visibility | |---|---|---|---|---| | 11x Alice | Autonomous outbound agent | Account research, ICP qualification, and live signals | Email, phone, LinkedIn, SMS, WhatsApp | Growth published; higher tiers custom | | Artisan Ava | Autonomous AI BDR | Contact database, intent signals, and message testing | Personalized multi-channel sequences | Confirm commercial quote | | AiSDR | Autonomous agent | Public buying signals and pre-outreach research | Email, LinkedIn, phone; managed infrastructure stated | Tiered plans published | | Agent Frank | Autopilot or co-pilot | Company research, buying signals, and web/social personalization | Email and LinkedIn senders; customer or vendor infrastructure | Active-contact model; verify quote | | RegieGO | Agentic assistance with approval | Research grounded in sources users can preview | Phone, email, LinkedIn | Free, Pro, and Enterprise tiers published |

Compliance and deliverability are part of the product decision

Automation does not transfer legal responsibility to the vendor. The FTC says CAN-SPAM applies to commercial email, including B2B email, and requires accurate header information, non-deceptive subject lines, a valid physical postal address, an opt-out mechanism, and prompt handling of opt-out requests.

For high-volume Gmail traffic, Google’s sender guidance says bulk senders approaching 5,000 or more messages per day to personal Gmail accounts must authenticate email, avoid unwanted or unsolicited email, and make unsubscribing easy. Google also says enforcement on non-compliant traffic has been ramping up since November 2025.

Before a pilot, document SPF, DKIM, DMARC, mailbox ownership, domain isolation, warm-up, throttling, bounce handling, complaint monitoring, unsubscribe synchronization, and suppression-list behavior. Phone, SMS, WhatsApp, and LinkedIn workflows may also involve separate consent, privacy, telemarketing, or platform-policy requirements. Obtain jurisdiction-specific legal review before activating those channels.

How to run a defensible pilot

Start with one ICP segment, one geography, and a limited contact volume. Provide the agent with approved positioning, proof points, qualification rules, exclusions, escalation instructions, and do-not-contact lists. Keep human approval enabled until you have reviewed targeting accuracy, personalization evidence, replies, opt-outs, and CRM write-back.

Set a baseline using your existing outbound process. Then compare qualified meeting rate, meeting show rate, sales acceptance, opportunity creation, pipeline contribution, deliverability health, and hours of human oversight. Ask each vendor for a data-processing and security review covering source licensing, retention, model-provider access, deletion, export, audit logs, and ownership of generated campaign assets.

The best AI outbound sales agent is the one whose autonomy matches your risk tolerance and process maturity. If you need maximum execution breadth, investigate 11x, Artisan, AiSDR, and Agent Frank. If you need stronger approval discipline and inspectable research before sending, RegieGO may be the more natural starting point. In every case, make the final decision on controlled evidence—not on message volume alone.

Sources

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