
Side-by-side comparison of Sailes and Salesforge — pricing, features, and use cases. Reviewed by our editorial team in Jun 2026.


Sailes predates the 2024 AI SDR wave (Artisan, 11x, AiSDR) and has a longer track record of production deployments, positioning it as the enterprise-grade choice for mid-market and established B2B sales orgs.
Mid-market and enterprise sales orgs want to scale outbound capacity without scaling SDR headcount, particularly for B2B companies with high ACV deals where research and personalization quality matter more than raw volume.
In contrast, Salesforge positions itself as the most accessible AI SDR for SMBs and growth-stage teams running cold outbound at scale.
Salesforge Agent Frank has been in market for 18 months, and the 2026 build is materially better than the 2024 launch, with actual results from running Frank across three accounts over 90 days showing 12,400 emails sent, 287 replies, and 41 meetings booked.
Sailes pitches force-multiplying existing SDR teams rather than replacing them, with each Sailebot trained on the customer's product, ICP, and messaging. Agent Frank uses a research-then-write loop with Claude under the hood, and output reads like a competent SDR's third draft.
The verdict hinges on use case: Sailes wins for research-heavy, high-ACV enterprise deals requiring deep personalization; Salesforge wins for speed-to-value and SMB affordability.
Ratings are nearly identical—Sailes rates 4.77 on ToolDirectory with 113 reviews; Salesforge rates 4.79 with 122 reviews—but deployment models differ substantially.
Sailes demands substantial onboarding and uses contact-based metering; Salesforge layers on top of email infrastructure and requires infrastructure add-ons for deliverability.
Enterprise high-ACV deals
Sailes is particularly strong for B2B companies with high ACV deals where research and personalization quality matter more than raw volume. Sailebot 2 offers 130% increase in prospecting efficiency with patent-pending technology automating 33 million sales prospecting tasks and saving 2.5M hours in labor.
SMB speed to first campaign
Agent Frank manages 1,000 active contacts and sends 6,000 to 7,500 personalized emails per month at the entry tier. Users appreciate straightforward setup and intuitive design.
Multi-channel outreach at scale
Agent Frank handles full outbound autonomously—finding prospects by ICP, writing personalized outreach in 20+ languages, sending sequences, following up, and booking meetings. Most teams don't need separate warm-up, email finder, or sequencer beyond Salesforge.
4 use cases scored. Sailes wins 0, Salesforge wins 1.
Neither tool publishes a starting price.
Neither tool offers a free tier or trial.
Both sit near 4.8 / 5 across user reviews.
Salesforge has 122 ratings vs 113 on the other.
Where each tool earns its rating — and where it falls short.



Every spec on one page. Live-pulled from each tool's detail page.
Quick answers to the questions readers ask before picking between these two.
Salesforge offers transparent entry pricing at the standard tier; Sailes pricing is custom and typically higher for comparable team size. For SMBs, Salesforge wins on predictability; for mid-market, Sailes often delivers better per-SDR ROI through force-multiplication.
Both require a CRM or lead source to function. Salesforge integrates with Salesforce and HubSpot to pull lead lists and ICPs, then uses AI to generate personalized cold emails at scale. Sailes similarly requires ICP definition and lead list import. Neither replaces lead generation.
Agent Frank engages prospects on both email and LinkedIn from a single platform, running in auto-pilot or co-pilot modes with 20+ language support. Sailes focuses primarily on email and intent-driven prospecting. For multi-channel at scale, Salesforge has the native advantage.
Agent Frank setup takes a few hours at most, though email warm-up takes two weeks before campaigns launch. Sailes requires weeks to months of customization per representative and training on product and ICP at enterprise scale.
Agent Frank is wrong for tight-ICP technical-sale motions where every message needs operator judgment; for technical products it produces correct-but-generic copy. Sailes is particularly strong for high ACV deals where research and personalization quality matter more than raw volume.
Agent Frank defaults to soft asks rather than calendar links, improving reply rates but reducing direct booking volume. Agent Frank covers everything from finding prospects to booking meetings via calendar links, calendar requests, or specific links. Both require human handoff for closed deals.
Sailes was one of the earliest autonomous AI sales agent companies and predates the 2024 AI SDR wave, making it the proven choice for mid-market and enterprise B2B teams scaling without headcount.
Its strength lies in research-driven personalization, multi-year customer relationships, and integration with legacy stacks. For high-ACV deal motions prioritizing quality over volume, Sailes remains unmatched. Salesforge has emerged as the accessible on-ramp for SMBs and founder-led GTM.
Agent Frank's 2026 iteration combines Claude-backed email writing, multi-channel (email and LinkedIn) orchestration, and unified warm-up, making it the lowest-friction entry into AI SDR automation.
The tradeoff is clear: Sailes demands longer onboarding and custom pricing but delivers seasoned execution; Salesforge ships in weeks but requires tolerance for modal complexity and infrastructure layering. For mid-market with existing SDRs and high-ACV deals, Sailes is the strategic play.
For growing SMBs testing outbound at scale, Salesforge wins on time-to-value and affordability. Both rate above 4.7 on G2; the decision hinges on your sales org maturity and whether you optimize for depth or speed.
More ai sdrs head-to-heads.
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