10 Best AI SDR Tools for 2026

Full disclosure: Clay is our product, and we put it first. It also holds the highest rating on this list (4.9/5), and the data and research layer behind AI SDRs is exactly what teams build on Clay. Here's what it does well and where it doesn't fit.

Clay approaches the AI SDR problem from the data side. Claygent AI GTM agents research the web, run workflows, and execute plays, so they build the accurate data and research an AI SDR needs to act on real information instead of guesses. Signals surface timing like job changes, funding rounds, and hiring, and waterfall enrichment across 200+ providers builds and verifies each contact, both feeding the agents underneath. Clay pairs with a sending agent rather than replacing it: it is the research brain that hands accurate inputs to whatever AI SDR does the outreach, and the finished record syncs back to Salesforce or HubSpot and re-runs as data changes.

Qualified's Piper is the standout inbound AI SDR. It watches your website, engages visitors in real time through chat, voice, and video, qualifies them, and books meetings straight onto a rep's calendar, then follows up by email. For a Salesforce-centric team whose pipeline problem is inbound traffic slipping away unworked, Piper turns anonymous visits into booked meetings without a rep on standby.

The focus is also the ceiling. Piper is inbound only, so there are no outbound sequences, no dialer, and no cold prospecting, and the product is built to run on top of Salesforce, which pushes the real cost up once the underlying stack is included.

Reply.io is a well-established sales engagement platform, and Jason is its AI SDR layer. Jason sources prospects, builds sequences, sends across email and LinkedIn, handles replies, and books meetings, and it works in two modes: Autopilot, where it runs the motion on its own, and Copilot, where it drafts each step and waits for your approval. Because it sits inside a mature sequencer, you get sending controls and deliverability tooling that newer standalone agents are still building.

The trade-off is that the AI SDR agent is priced separately from the core platform and scales by active contacts, so costs climb as your list grows. The G2 rating below reflects the Reply.io platform overall, since the standalone Jason AI listing is newer and thinner.

Regie.ai pairs autonomous prospecting agents with AI content generation. Its agents identify accounts, build and personalize sequences, and nurture prospects across channels, while the content side turns hours of email and sequence writing into minutes. Reviewers consistently call out the time savings on prospecting and the responsive customer success support, and it has the deepest G2 review base of the outbound-focused tools here.

The most common criticism is tone. Despite the personalization features, reviewers report the final AI copy can read robotic, and several flag stale job titles and wrong contact matches, which points back to the data feeding the agent. Pricing also skews toward larger budgets, with seat minimums and quote-based plans at scale.

Jeeva is one of the more approachable AI SDRs on price. It handles lead discovery, personalized outreach, and multichannel follow-up autonomously, and reviewers praise the ease of use and the time it saves on lead generation, with several reporting sharp cuts to prospecting costs versus hiring. For a small team that wants to test autonomous outbound without an enterprise contract, the entry tier is easy to start on.

The recurring friction is the credit model. Across tiers, reviewers report burning through credits faster than expected and find the per-action pricing hard to predict, and some flag billing surprises. As with any AI SDR, the quality of its output tracks the quality of the list and research feeding it.

Lindy is a no-code AI agent platform rather than a purpose-built SDR, and that flexibility is the appeal. You can build agents that enrich leads, send and reply to outreach, schedule meetings, and chain multi-step workflows, all without writing code. Reviewers repeatedly call out the ease of use and the intuitive setup, with ease of use cited as its strongest feature across the majority of G2 reviews, and it holds a 4.9/5 there.

Because it is general-purpose, you build the SDR motion yourself instead of getting one out of the box. The credit model can add up fast, complex actions like research or multi-step workflows use several credits each, and Lindy's Trustpilot presence skews negative on billing and support, a contrast worth weighing against its strong G2 score.

AiSDR leans into service. Each account gets a dedicated GTM engineer who helps configure campaigns and tune messaging, and the agent researches prospects and writes contextual first lines rather than mail-merging, drawing on hundreds of real-time signals per lead. For a team that wants an AI SDR up and running without building it themselves, the managed model shortens the path to a live campaign.

The catch is control and commitment. The Explore plan runs $900/mo on quarterly billing, which means a multi-thousand-dollar upfront commitment before you know if it fits your ICP, and power users report that the pre-built playbooks limit custom signal logic and branching. New accounts also need 30 to 60 days of warmup before hitting full sending capacity.

11x's Alice is an autonomous AI SDR built for scale. It researches prospects, builds and sends multichannel sequences, and manages replies, and 11x pitches it as a full digital worker for large outbound operations. For an enterprise team that wants to push outbound volume well past what a human bench can cover, Alice is designed for that ceiling.

The trade-offs are cost and proof. 11x is enterprise-only with no self-serve signup, pricing is custom-quoted and reported to start in the tens of thousands per year, and independent case studies are still thin. Its G2 presence is limited, so ratings are based on a small number of reviews and should be weighed lightly.

Artisan's Ava is an all-in-one AI BDR. It ships with a large built-in contact database, handles email warmup, and personalizes and sends outreach, so the pitch is one platform instead of a stack of point tools. Reviewers praise the clean onboarding and setup, and the guided flow makes it easy to launch a first campaign without technical work.

Results are polarized. Its G2 reviews split sharply between reps who see solid reply rates and reviewers who describe the AI output as poorly worded, and there are reports of setup and deliverability glitches. Pricing is quote-based on annual contracts, the track record is still short, and its G2 review base is small, so ratings here are limited.

Relevance AI is an AI agent platform, and outbound is one of the things you can build on it. Its best-known sales agent is Bosh, an AI BDR that researches prospects, runs personalized outreach, holds two-way conversations, and books meetings. With a large library of integration tools and a multi-agent approach, you can assemble specialized agents that run in tandem, and reviewers like how quickly they can stand agents up without heavy coding.

The flexibility comes with a learning curve and cost risk. Reviewers flag unpredictable credit consumption at scale, where an agent loop can drain a balance fast, and note a no-prorated-refund policy. Its G2 review base is small, so treat the rating as limited.