October 3, 2025

Best AI Digital Sales Agents for GTM Strategies (2025)

Discover how agentic AI is transforming go to market in 2025. Learn how autonomous AI agents boost pipeline, cut costs, and deliver 4–7x higher conversions.
Researched Answers
Table of Contents

Major Takeaways

Why are manual GTM strategies no longer effective?
Reps spend two-thirds of their time on admin and tool-hopping. This slows campaign launch times and leaves millions in pipeline potential untapped.
What advantages do AI GTM agents provide?
They run like digital SDR teams by prospecting, personalizing, and optimizing 24/7. Businesses report 4–7× conversion lifts and 70% cost savings.
How does Landbase stand out among AI GTM solutions?
Landbase’s GTM-1 Omni model and multi-agent system autonomously execute campaigns from end to end, generating pipeline on autopilot with proven ROI.

Deep Research Answer for the Best AI Digital Sales Agents for GTM Strategies

The landscape of sales and marketing is evolving at breakneck speed. Traditional go-to-market strategies — often reliant on time-consuming manual processes and fragmented tools — struggle to keep up with growth demands. AI agents are rapidly changing the game. These autonomous AI-driven “digital workers” can plan, execute, and optimize omni-channel campaigns with minimal human intervention, allowing businesses to scale outreach and pipeline generation like never before(2). Instead of relying on disconnected systems and repetitive SDR tasks, AI agents operate as an extension of your team — analyzing vast datasets, identifying high-intent prospects, orchestrating personalized outreach across multiple channels, and continuously learning from every interaction to boost engagement and conversion rates.

GTM leaders in 2025 are leveraging agentic AI (autonomous, goal-driven AI agents) to achieve results that were previously unattainable. In fact, 83% of AI-powered sales teams report revenue growth versus 66% of teams without AI, highlighting how critical the right AI solution has become(1). Businesses using these advanced AI agents are seeing 4–7x higher conversion rates and up to 70% lower costs in their sales programs. Campaign launch times that once took weeks or months are now reduced to minutes. The ability to scale revenue operations without scaling headcount is a defining advantage in today’s competitive market – and autonomous AI agents make it possible.

Why AI Agents Are Revolutionizing GTM Strategies

AI agents represent a fundamental shift from basic automation to intelligent autonomy in GTM execution. Traditional sales automation might send emails or trigger tasks based on simple rules, but AI agents go much further. They operate like digital team members that can understand high-level goals, make decisions, and carry out complex multi-step workflows without constant human oversight(12). In practical terms, an AI sales agent can research ideal prospects, craft tailored outreach, follow up across channels, and even adjust strategy on the fly — all on its own.

This has game-changing implications for sales and marketing teams:

  • Extreme Efficiency Gains: AI agents work 24/7 and never fatigue, enabling one AI SDR agent to handle the workload of several human reps(2). Teams reclaim countless hours from manual tasks. For example, early deployments of agentic GTM platforms showed up to 7x better conversion rates versus standard outbound efforts thanks to continuous optimization.
  • Personalization at Scale: Advanced AI models analyze prospects’ profiles and behaviors to send highly relevant, human-like messages. They dynamically adapt content and timing based on each prospect’s engagement, which is nearly impossible to do manually at scale. This hyper-personalization leads to significantly higher reply and meeting rates(2).
  • Lower Costs & Faster Growth: By automating SDR functions, companies can achieve the output of a full sales team at a fraction of the cost. One study found organizations using AI agents saw a 40% average revenue increase primarily due to more effective targeting and engagement(4). Many vendors report customers reducing outbound costs 60–70% while accelerating pipeline growth.
  • Always-On Execution: Unlike humans, AI agents don’t work in 8-hour shifts. They can engage prospects around the clock and respond in seconds. One company noted that with AI agents “meetings were being set even overnight and on weekends without human intervention,” a level of coverage previously impossible without a global team.

In short, AI agents enable GTM teams to do more (reach more prospects through more channels), better (with greater personalization and data-driven precision), and faster/cheaper (with less human effort and overhead) than traditional methods.

Landbase — Agentic AI Agents with Full Autonomous Execution

Landbase stands out as the first truly agentic AI platform with complete autonomous workflow execution for B2B sales and marketing. It introduces a team of specialized AI agents (strategy, research, SDR outreach, RevOps, IT, etc.) that collaborate to run your entire outbound program independently, requiring minimal human input. In other words, Landbase acts like an “AI SDR team” operating on autopilot to drive pipeline.

Key Features:

  • GTM-1 Omni AI Model: A proprietary multi-agent AI trained on 40+ million B2B campaigns and 175+ million sales conversations. This massive dataset means Landbase’s AI has learned what effective sales outreach looks like, enabling it to generate content and strategies that mimic top-performing human reps (and avoid the bland, off-brand outputs seen in some generic AI tools).
  • Built-In Data Cloud: Over 220 million verified contacts across 24M companies, enriched with 10+ million real-time intent signals (web activity, funding news, tech stack, etc.) continuously updated. Landbase’s AI constantly taps this data to find and prioritize high-potential prospects at the right time.
  • Specialized AI Agent Team: Instead of a single bot, Landbase deploys multiple agents with distinct GTM roles – e.g. a GTM Strategy Planner, an AI Prospect Researcher, an AI Copywriter/Marketer, an AI Sales Development Rep for multi-channel outreach, plus agents for RevOps (data & analytics) and IT (deliverability). These agents work in concert 24/7, planning campaigns, researching contacts, writing personalized emails, sequencing touches, handling replies, and more.
  • Autonomous Multichannel Execution: Landbase can launch personalized email sequences, LinkedIn outreach, and other campaign steps in minutes rather than weeks. It handles everything from warming up email domains (up to 3,000+ emails/day per domain with smart warm-up) to A/B testing messaging – without requiring you to babysit or tweak campaigns constantly.
  • Self-Optimizing and Learning: The AI monitors campaign results in real time and adjusts targeting, messaging, and send schedules to improve outcomes. It essentially “learns” from each interaction, refining its approach to maximize conversions. This “set it and forget it” capability is a major differentiator – users report that Landbase requires far less ongoing management compared to other platforms, yet delivers superior results.

Pricing & ROI:

  • Transparent, SMB-Friendly Pricing: Landbase offers straightforward pricing (with packages starting around ~$3K/month) and no minimum annual commitments, unlike many enterprise tools. The model is usage-based and month-to-month friendly, making advanced GTM automation accessible to smaller teams.
  • All-in-One Efficiency: By consolidating the functions of 15+ separate sales tools into one platform, Landbase can reduce total cost of ownership by 60–80% for an outbound program. One analysis found companies achieve 60–70% lower costs with Landbase compared to hiring an SDR team plus a typical sales tech stack.
  • Proven Performance: Landbase’s clients routinely see 4-7x higher conversion rates on outreach versus baseline. In one case, a telecom company added $400K in new MRR in a single slow season thanks to leads Landbase generated – so many that the client temporarily paused campaigns because their account executives couldn’t handle the volume! Across its customer base, Landbase has delivered over $100M in pipeline and saved 100k+ hours of rep time in its first year.

The platform’s greatest strength lies in its true end-to-end autonomy. Landbase operates with very minimal human intervention – you configure goals and parameters, and the AI agents do the rest. This agentic approach eliminates the content quality issues that plague some AI tools; because GTM-1 Omni was trained on millions of successful sales interactions, the copy and cadence it produces feel authentic and personalized, not “robotic.” Users consistently highlight Landbase’s ability to essentially “hire” an AI sales team and let them run with little oversight, which frees up their human team to focus on closing deals. It’s no surprise Landbase has grown explosively (825% revenue growth in 2025) and scaled to 150+ customers within a year, as more B2B companies discover the power of autonomous GTM execution.

For B2B SaaS firms and beyond, Landbase offers a fast-track to pipeline growth without the headaches of building a large SDR team. It ensures every touchpoint is hyper-personalized and data-driven. If you’re looking to optimize your go-to-market with cutting-edge AI, Landbase is a compelling option to “find your next customer” on autopilot.

11x.ai — Autonomous AI Sales Agents for Outbound & Inbound

11x.ai is another pioneer in the AI sales agent space, known for its “digital workers” that function as virtual SDRs. The company offers two main AI agents: Alice, focused on outbound prospecting (email, LinkedIn, etc.), and Jordan(formerly “Julian”), geared toward inbound lead follow-up via voice calls(2). These agents operate 24/7 to find leads, send personalized outreach, and even handle responses or book meetings autonomously(1).

Key things to know about 11x:

  • Purpose-Built AI SDRs: 11x’s agents are specialized for sales development tasks. Alice, for example, will “turn your market signals into SQLs” by automatically sourcing prospects, writing highly personalized emails, sending follow-ups, and qualifying responses. The AI uses large language models plus workflow logic to mimic how a top-performing SDR would research and engage a prospect. It can also place calls or drop voicemails via Jordan (voice agent).
  • Autonomy and Reach: These AI SDRs run with minimal human oversight. They can scale outbound volume massively – reaching out to hundreds or thousands of prospects concurrently – something a human team would struggle to do. 11x emphasizes that its digital workers can handle the full sales outreach cycle from start to finish. According to the company, Alice and Jordan combined can outperform a team of 11 human SDRs doing the same work(2). In practice this means higher consistent activity (every lead followed up promptly) without extra headcount.
  • AI-Optimized Messaging: 11x’s AI crafts emails that are meant to be as personalized as a human would write, referencing prospects’ profiles and pain points. The model was trained to avoid the generic, templated emails that plague traditional sequences(2). The goal is to boost reply rates by making each message relevant. (Some users note you still need to have a large TAM or contact list to see strong results(1) – if your market is very niche, high-volume AI outreach might yield mixed results.)
  • Use Cases – Outbound & Inbound: Alice is primarily for outbound cold outreach (turning cold contacts into interested leads). Jordan is used for inbound lead management – e.g. instantly calling new demo requests or following up on chatbot inquiries so no inbound lead falls through the cracks11x.ai. Together, they aim to automate both sides of top-of-funnel engagement.

Results & Adoption: 11x has gained significant attention (and venture funding) as an early mover. It relocated from Europe to Silicon Valley after a $24M Series A in 2024 to scale up(2). By late 2024 the company served 200+ customers (including names like Otter.ai and Airwallex) and had grown revenue 5x that year(2). One 11x client used Alice at scale and found it replaced the output of 10 human SDRs single-handedly(2). Another metric: 83% of AI-augmented sales teams (like those using 11x) saw revenue growth, vs 66% of non-AI teams, according to Salesforce research(1).

However, it’s worth noting 11x’s approach can require a large volume of leads and a significant investment. Pricing reportedly starts around $5,000/month with annual contracts(1), which may be steep for some startups. Some early users experienced inconsistent performance or felt the need for manual intervention if the AI’s messaging wasn’t landing, leading a few to discontinue service(1). 11x has been addressing these issues by improving its AI and refining ideal customer profiles (they even cut churn by 50% by focusing on better-fit customers)(2).

11x.ai offers a powerful solution for automating outbound sales, especially for companies with broad target markets that can leverage high-volume outreach. Its AI agents excel at scaling up prospecting activity and handling routine sales development work. Just be mindful of the cost and ensure you have enough target prospects to feed the AI. For organizations that do, 11x can be a game-changer to rapidly fill the top of the funnel with minimal human effort – a true autonomous SDR function in action.

Artisan — Virtual AI Sales Agent “Ava” for Outbound Personalization

Artisan takes a slightly different spin on AI for sales: it offers “Ava,” an AI-powered virtual Business Development Representative designed to automate the majority of outbound tasks while keeping a human-in-the-loop option for quality control. Artisan markets Ava as an “AI Employee” that you can onboard to your team in minutes, who will then find prospects and send outreach on your behalf.

Key Features:

  • Single Multi-Purpose Agent (Ava): Unlike platforms with multiple agents, Artisan’s Ava is a one-stop AI BDR that handles prospecting, email writing, follow-ups, and even initial lead qualification. You give Ava your ideal customer profile and messaging guidance, and she goes to work generating leads and emailing them with personalized messages. Ava can purportedly automate up to 80% of a sales rep’s repetitive outbound tasks(3) – from researching contacts to composing outreach – which translates to huge time savings.
  • Massive Contact Database: Artisan comes with a built-in database of over 300 million B2B contacts enriched across 65+ data points(1). Ava can search this database for prospects that match your ICP and then automatically pull in relevant details (industry, role, recent news, etc.) to personalize her outreach. This eliminates the need for separate list building or data tools – Ava has the info at her fingertips.
  • Personalized & Researched Outreach: One of Ava’s strengths is doing the kind of research a human would do. She can look at a prospect’s LinkedIn or news mentions and craft a message referencing specific details (e.g. congratulating them on a funding round or noting a relevant job posting)(3). The goal is to have automated emails that feel hand-written. Artisan’s platform even allows multi-variant testing of messaging to optimize response rates(1).
  • Human Review Workflow (Optional): Artisan acknowledges that some companies may want to keep an eye on AI-generated emails, especially early on. The platform lets you enable an optional approval step where your team can review or edit Ava’s messages before they go out(1). This “human-in-the-loop” feature can ensure quality and brand alignment until you trust the AI fully. It’s a nice safety net that not all competitors offer.
  • Campaign Management Interface: Users get a clear dashboard to oversee what Ava is doing – which prospects she’s contacting, how sequences are performing, etc. This visibility, combined with the ability to step in if needed, gives teams more confidence in letting an AI agent represent them.

Impact and Usage: Artisan markets that by using Ava, companies can save on headcount and scale outreach dramatically. They claim 80% of an outbound team’s tasks can be automated so your human reps can focus on high-level conversations and closing deals. In real-world terms, if your SDRs spend 4 hours a day prospecting and emailing, Ava could potentially give them back 3+ hours of that. Early user reviews note that there is a learning curve – you might need to fine-tune prompts or targeting to get the best results, and the AI may need some time to “dial in” the right tone(3). But once configured, many report significant increases in pipeline without additional hires.

One highlighted result: teams using AI-driven personalization tools like Artisan have seen reply rates improve by up to 140% when outreach is enriched with deeper data(1). Additionally, Artisan itself states that its clients can reach 3–5x more prospects without growing headcount, thanks to Ava working tirelessly in the background.

Artisan is ideal for small to mid-sized sales teams or agencies that want to scale up outreach quickly but still maintain a personal touch. Ava can act as a junior SDR that never sleeps – finding new leads, writing emails, following up diligently. The platform’s emphasis on enriched data and optional human review makes it a balanced solution for those who may be wary of going fully autonomous. If you “hire” Ava, you get an AI agent who can lighten your team’s load by 80%, which can translate to faster pipeline growth without additional payroll.

Clay — AI-Powered Data Enrichment Agent for GTM Teams

Clay is a slightly different entry on this list. It’s not a classic autonomous SDR agent; rather, Clay is a powerful AI-driven data enrichment and sales automation platform that functions like an “AI research agent” for your go-to-market teams. Think of Clay as an AI-enhanced prospecting assistant that supercharges your lead lists with data and helps you act on that data.

What Clay Does:

  • Data Enrichment at Scale: Clay connects to 100+ premium data sources and APIs – from LinkedIn to Crunchbase to various public databases – and automatically enriches your prospect lists with missing info(3). For example, you could feed Clay a list of company names and it will append key contacts, emails, industry, tech stack, recent news, etc., all using AI to search and compile the info. This saves huge amounts of manual research time.
  • AI Research Agents: Clay employs AI "agents" (in a research context) that can go find specific insights on prospects. Need to know if a target company recently raised funding or posted a relevant job opening? Clay’s AI can dig that up and add it to the profile. It’s like having an army of virtual interns doing pre-call research on every lead.
  • Smart Prospect List Building: With Clay, you can build highly targeted lead lists by applying filters and having the AI scour multiple sources. For instance, “find VPs of Finance at tech companies in California that use AWS” – Clay can pull a list matching that criteria by querying its data sources, then keep that list updated. Sales teams use Clay to make sure they’re not missing high-fit accounts or contacts.
  • Workflow Automation & Integration: Clay isn’t just a static database. It integrates with your CRM and sales engagement tools (like Outreach, Salesloft, etc.) so that enriched data flows directly into your outreach workflows. You can set up automations like: when a new lead comes in, Clay enriches it with key data, then triggers an email sequence in your engagement platform. Essentially, Clay ensures that when your AI or human reps reach out, they have the full context on each prospect.
  • Inbound + Outbound Use Cases: While primarily used for outbound prospecting, Clay’s enrichment can also improve inbound lead routing (e.g. auto-filling firmographic data to prioritize MQLs) and account-based marketing efforts by providing more intelligence on target accounts.

Why This Matters: In GTM strategy, better data = better results. AI agents rely on accurate data to personalize outreach. Clay addresses the common pain of incomplete or stale lead data. By some estimates, sales teams lose up to 70% of their database value to data decay annually. Clay fights that by continually updating records. Companies using AI-driven data enrichment have seen an average 40% increase in revenue thanks to more effective targeting(4). Moreover, enriched, well-targeted campaigns can boost conversion rates by up to 25% and shorten sales cycles by 30% according to studies(4).

Clay is often used alongside other sales engagement tools or AI agents. For example, you might use Clay to build and enrich a list of ideal contacts, then feed that list to an AI emailing tool (or a human rep) for outreach. Some see Clay as “the brains” providing intelligence that makes all your outbound efforts smarter. It’s especially popular among sales ops and growth hackers who want to experiment with creative data sources (like scraping job boards or social media for buying signals).

While Clay doesn’t autonomously send emails on its own (it’s not an all-in-one outreach agent), it augments your GTM strategy by ensuring you target the right people with the right information. Many AI agent platforms focus on execution; Clay complements them by excelling at data and research. For any organization that struggles with list quality or spends too much time on sales research, Clay is a hugely valuable AI assistant to consider.

Unify — Intent-Driven AI Agent Platform for Outbound

Unify is an AI-powered platform that focuses on trigger-based, intent-driven outbound marketing and sales. It may not be as fully autonomous as some others on this list, but it does employ an AI agent approach to help teams capitalize on real-time buying signals with automated outreach plays.

What Makes Unify Different:

  • Signal-Based Outreach: Unify integrates intent data (like prospects visiting your pricing page, researching certain topics, or changes like new funding, job changes, etc.) into its system(5). When it detects a meaningful signal, it can automatically trigger an outbound sequence (an email, LinkedIn message, etc.) via its AI agent. The idea is to “capture intent and engage every prospect with personalized outbound in one system of action.”(5) In short, Unify tries to ensure you reach out at the right time – when a prospect is most likely in-market.
  • Automated Plays (Workflows): Users can set up “Plays” in Unify, which are essentially automated multi-step workflows that combine data enrichment, sequencing, and task automation(5). For example, a Play might be: if a target account shows intent (like surging on 6sense or Bombora intent topics), then automatically research the key contacts (AI agent does this), send a personalized intro email, and add them to a nurture sequence.Unify’s AI agent takes care of the research and personalization steps at scale.
  • Multi-Agent Architecture: While Unify primarily highlights a single outbound AI agent, under the hood it performs multiple functions – intent processing, personalization (AI writing), sequence execution, etc. It might not present them as distinct named agents, but it’s a collaborative AI system. However, it is more limited to the sales/outbound use case (it’s not doing RevOps or IT tasks, for instance).
  • Collaboration with Humans: Unify often positions itself for use by both marketing and sales teams together. Marketing can set up the automated outbound programs, and sales can then take over engaged leads. This aligns with a trend Unify calls “Automated Outbound (AOB) led by marketing/growth teams,” which can book as many meetings as traditional SDRs but with a fraction of the headcount cost(5). In one Unify case, a single growth operator using AOB was able to generate 150+ qualified meetings per month entirely through automated plays(5) – a volume that would normally require a team of SDRs.

Performance: Unify is relatively newer/lesser-known than some (it’s a startup product). Quantitative metrics from Unify’s own content include the example above: 150 meetings a month via automation(5). They also argue that companies running automated outbound see efficiency gains like those Landbase and others tout – e.g. booking similar meeting volumes with much lower human involvement, and freeing their reps to focus on later-stage conversations rather than prospecting(5).

Industry-wide, the value of acting on intent is clear: studies show that organizations which respond to buyer intent signals can significantly improve pipeline creation. For instance, only ~3% of website visitors ever fill out a form, but 78% of accounts predicted to be in-market aren’t in your CRM yet(11). Tools like Unify aim to bridge that gap by automatically reaching those “dark funnel” prospects once intent is identified.

Unify is a strong choice for teams that believe in signal-based marketing – letting data on buyer behavior trigger timely outreach. It’s like having an AI assistant that watches for the moment a prospect “raises their hand,” then that agent strikes while the iron is hot with a tailored message. If your GTM approach values intent data (from sources like 6sense, Bombora, G2, etc.), Unify can act as the glue between those signals and your engagement, ensuring no high-intent prospect slips through the cracks without contact. It may not have as broad a scope as something like Landbase, but for outbound prospecting powered by intent, Unify’s agentic automation can give you a serious edge in connecting with interested buyers first.

Salesforce Agentforce — Enterprise-Grade AI Agents Across CRM

When it comes to enterprise sales and service, Salesforce’s Agentforce is a major development. Announced in late 2024, Agentforce is Salesforce’s suite of autonomous AI agents that work across sales, service, marketing, and more within the Salesforce ecosystem(6). It’s essentially Salesforce’s answer to “what if we had AI agents embedded in our CRM doing tasks automatically?”

What Agentforce Includes:

  • Atlas AI Reasoning Engine: At the heart of Agentforce is the new Atlas engine, which allows the AI to analyze Salesforce data, make decisions, and execute tasks autonomously(6). This could be anything from qualifying a new inbound lead, to drafting a follow-up email in a sales sequence, to updating a record after a customer call. It’s designed for reliability and accuracy, minimizing hallucinations, so enterprises can trust the AI with real customer interactions(6).
  • Multiple Agent Roles: Agentforce isn’t a single bot – it enables companies to create many agents for different purposes. For example, a Sales Email Agent could automatically nurture leads or reach out to stale opportunities, a Service Agent might handle common support tickets, a Marketing Agent could optimize campaign sends, etc. Salesforce provides templates and even an AgentExchange marketplace of pre-built agent “skills” from partners(6).
  • Deep Salesforce Integration: Unsurprisingly, Agentforce is natively integrated into Salesforce CRM and platform features. It can pull up and update CRM records, trigger workflows, and work within Salesforce’s guardrails. For instance, an agent could automatically move an Opportunity to the next stage and schedule a task for a sales rep if certain criteria are met (like a signed quote)(6). Because it’s within Salesforce, data and security controls are inherited, which appeals to IT departments.
  • Real-World Impact: Early adopters have reported impressive gains. For example, publishing company Wiley used a Salesforce service AI agent and saw a 40%+ increase in case resolution rates, outperforming their previous chatbot solution(6). By handling routine inquiries, Agentforce freed human support agents to focus on complex cases. On the sales side, Salesforce has quoted that companies using Agentforce achieved 25% higher lead conversion rates in pilots(6) (and it plans to formally integrate those findings as the product matures).
  • Scale and Customization: Salesforce’s vision is to “empower one billion AI agents” by end of 2025(6), reflecting how Agentforce could proliferate. Companies can use low-code tools to spin up their own custom agents quickly(6). And because it’s Salesforce, you can bet on robust admin controls, testing sandboxes, and monitoring tools (which they’ve built in, like an Agentforce Testing Center and analytics to supervise agent decisions)(6).

What This Means: For enterprises with large sales orgs already in Salesforce, Agentforce can dramatically improve efficiency. Reps often spend significant time on CRM administrative work or routine follow-ups – now an AI agent can do a lot of that. Imagine an agent that combs through leads every night and reaches out to any that meet certain criteria, or one that auto-responds to inbound inquiries with personalized messages and schedules meetings. It’s like having an army of virtual assistants inside your CRM. Salesforce even envisions blending human and AI workforces, where every employee might eventually have a few AI “colleagues” handling lower-level tasks.

Salesforce Agentforce is bringing autonomous AI into the mainstream for large organizations. It’s particularly suited if you are already a Salesforce customer – you’ll be able to activate AI agents that work within your existing processes and data. While still emerging, it signals that AI agents aren’t just for startups; even the biggest enterprises can benefit from digital workers handling the busywork. For any company on Salesforce looking to boost sales productivity and customer satisfaction, Agentforce is quickly becoming a key part of the GTM tech stack.

Copy.ai — AI Content Generation Assistant (Supporting GTM Teams)

While not a sales agent in the sense of automating outreach, Copy.ai earns a place on this list as a widely-used AI content generation tool that supports sales and marketing teams in their GTM efforts. Essentially, Copy.ai is like having a junior copywriter powered by AI – it can instantly generate emails, ads, blog snippets, social posts, and more based on prompts. For GTM teams, it’s especially handy for crafting sales emails, follow-up templates, and creative content at scale.

How Copy.ai Helps GTM:

  • Generates Sales Copy Fast: Need to write 20 personalized prospecting emails or a sequence of follow-ups? Copy.ai can produce draft email content in seconds for each scenario. You input some context about your product and audience, and it gives you suggested copy. This dramatically speeds up the content side of sales outreach. In fact, 93% of marketers using AI use it to generate content faster(7) – and sales teams are no exception. Copy.ai removes writer’s block and churns out options you can refine.
  • Personalization and Variations: The tool can incorporate variables (like prospect name, company, pain point) to make each message feel tailored. It also allows you to generate multiple variations of a message with one click. This is great for A/B testing different email approaches or avoiding every rep using the exact same template. According to HubSpot, 55% of marketers say content creation is the most popular use of AI in marketing (and sales outreach content fits right into that).
  • Use Cases in Sales/GTM: Copy.ai isn’t sending the emails itself, but it’s used to write the content for many GTM tasks: cold emails, LinkedIn InMail scripts, follow-up notes, sales brochures, one-pagers, etc. It can also help write marketing collateral like blog posts or landing page copy, which indirectly support sales. Essentially, anytime you need persuasive text, Copy.ai’s generative model is at your service.
  • Ease of Use: It’s a simple SaaS app – type what you need (“Draft a friendly outreach email introducing our cybersecurity solution to a CTO”) and the AI generates a few versions. You can then edit or refine with additional prompts. The learning curve is minimal, so SDRs and marketers alike can use it to save time.

Impact: By using AI for content, teams free up a lot of time and can increase their output. A SurveyMonkey study found 88% of marketers now rely on AI in their jobs, and of those, 93% specifically use it to speed up content creation(7). In GTM terms, this means reps can spend more time selling and less time wordsmithing emails. It also means higher consistency in messaging quality – the AI can ensure even junior reps have well-written outreach. Companies have noted that AI-generated content (with a human touch added) can sometimes even outperform purely human-written content; more than half of marketers said their gen AI content outperformed human content in 2024.

Think of Copy.ai as an amplifier. It doesn’t find leads or send emails for you, but it makes sure that whatever communication you do send is crafted effectively and quickly. Some sales orgs use it to create entire libraries of email templates or social selling messages. It’s also useful for non-native English speakers on a team to polish their writing. For startups with small teams, Copy.ai can fill in when there’s no dedicated content writer or product marketer to help with copy.

In summary, Copy.ai is like an AI writing assistant that GTM teams can’t live without once they try it. It’s low-cost, high-impact – even though it’s not a specialized “sales agent” per se, it greatly boosts the productivity of human sales agents by handling the heavy lifting of writing. In the context of best AI tools for GTM, ignoring content generation would be remiss, since persuasive communication is the bedrock of sales and marketing.

Lyzr AI (Jazon) — Deployable AI SDR Agents with 10x Efficiency

Lyzr AI offers an AI sales agent named Jazon, which it touts as the world’s first downloadable AI SDR. Lyzr takes a unique approach: you can deploy Jazon on-premises or in your private cloud, giving you more control (useful for data-sensitive companies). Jazon functions similarly to other AI SDRs – automating end-to-end outbound prospecting – but with an emphasis on data privacy and customizable workflows(1).

Key Points about Lyzr’s Jazon:

  • On-Prem / Private Cloud Option: Unlike most SaaS AI agents, Jazon can run in your environment. This means 100% data privacy and compliance, since sensitive prospect data or outreach content can stay behind your firewall(1). For enterprises with strict data policies (financial services, healthcare, etc.), this is a big advantage. You get the AI power without sending data to a third-party cloud.
  • Multi-Agent Framework: The Lyzr platform lets you configure multiple specialized agents (they call it an Agent Studio). For example, one agent might focus on researching prospects triggered by signals (like hiring or funding events), another agent might handle the email drafting and sequencing, etc.(1). They collaborate to handle research, outreach, follow-ups, and even meeting scheduling. This architecture is flexible – you can tailor it to your workflow and even choose which AI models (GPT-4, Claude, etc.) to use for different tasks(1).
  • Custom Workflows & Integration: Lyzr’s emphasis is on customization. You can integrate Jazon with internal systems or bespoke data sources. If you have an internal lead scoring system or a proprietary dataset, Lyzr can connect to it and incorporate that into the agent’s decisions. This is in contrast to more “black box” AI SaaS tools that only use their built-in data.
  • Measurable Outcomes: Lyzr AI has shared some eye-opening case study results. In one case, a client (GoML) using Jazon saw a 73% increase in qualified leads after deploying the AI SDR(8). They also achieved 10x cost savings compared to traditional outreach methods(8) – meaning the AI agent was dramatically more cost-efficient than hiring or doing things manually. Lyzr also cites improvements in sales efficiency and streamlined process as key benefits(8).
  • Replaces Need for Many SDRs: Like others, Lyzr positions Jazon as capable of replacing a team of reps. One external source noted Jazon can potentially replace up to 12 SDRs by handling prospect research, personalized emails, follow-ups, and meeting booking all on its own. While results vary, Lyzr’s customers have reported 3–4× increases in outreach volume and significant boosts in meetings booked after implementing the AI.

Lyzr’s Jazon is well-suited for organizations that need control and customization. For instance, European companies concerned about GDPR might prefer keeping data in-house with Jazon. Or a tech company with very specific workflows might use Lyzr to script the AI agents exactly to their process. It’s a bit more “some assembly required” than plug-and-play tools, but you gain flexibility. Lyzr also appeals to companies with strong technical teams who want to push the envelope – since you can even use your own AI models or connect to various APIs, it’s a playground for innovation in GTM automation.

In summary, Lyzr AI’s Jazon is a powerful AI sales agent with enterprise-grade customizability. It delivers impressive results (as seen in lead lifts and cost savings) and addresses the needs of companies that want AI-driven outbound without compromising on data privacy or unique process requirements. If the idea of downloading and tailoring your own AI SDR sounds appealing, Lyzr might be the platform for you.

Apollo.io — AI-Enhanced Sales Intelligence Platform (Agentless Approach)

Apollo.io is a very popular sales intelligence and engagement platform that many GTM teams use as a foundational tool. While Apollo isn’t an autonomous “AI agent” in the way others on this list are, it has increasingly infused AI features into its product. Apollo provides an all-in-one system for finding prospects, enriching data, and running outreach sequences – with AI-driven suggestions to optimize those efforts.

Apollo’s Core Capabilities:

  • Massive B2B Database: Apollo offers a database of over 200 million contacts and 30+ million companies, with rich firmographic and technographic data(1). It’s often compared to ZoomInfo. For GTM teams, this is a goldmine for building targeted lists. Apollo continuously updates this data and even provides intent signals now.
  • Sales Engagement Tools: Inside Apollo, you can set up multi-channel sequences (email, calls, LinkedIn tasks) and automate your outbound outreach. It’s not fully autonomous – humans typically decide the strategy and Apollo executes the sends and logging – but it significantly streamlines the process. It’s akin to Outreach.io or Salesloft, but bundled with the data.
  • AI Features: Apollo has added AI writing and optimization features. For example, it can suggest email subject lines or content based on what tends to get replies(1). It also has deliverability optimization powered by AI (choosing send times, etc.). These aren’t standalone agents, but they assist the user to improve results. Apollo’s AI can analyze your sequence performance and recommend tweaks (e.g. who to target next, or which steps to adjust) – a bit like having an AI analyst for your campaigns.
  • CRM and Workflow Integration: Apollo includes lightweight CRM functionality, but also integrates with Salesforce, HubSpot, etc. The idea is it can sit at the center of your GTM stack – where you find leads and engage them – while syncing with your system of record. This unified workflow is proven to save time; many teams report significant productivity gains using Apollo vs. piecemeal tools. One write-up noted Apollo’s own sales team scaled from 0 to 1 million users in under 3 years by obsessively using their product to feed growth(9).

Widespread Use & Results: Apollo.io is used by over 1 million sales professionals across 160,000+ companies globally(9), making it one of the most widely adopted sales platforms in the world. It’s especially popular with startups and SMBs due to its affordable pricing and large freemium offering. Apollo users often cite benefits like: dramatically increased outbound volume (because list building is so fast), improved connect rates (better data = more emails delivered, calls answered), and higher conversion rates from having more touchpoints per sequence. In one benchmark, companies using robust sales engagement software saw 28% higher revenue growth than those that didn’t.

Apollo itself shared that its customers have been able to grow 20–30% month-over-month using the platform effectively(3). Also, tools like Apollo contribute to the stat that 60% of companies in the U.S. now use generative AI tools to produce content for sales/marketing – Apollo’s all-in-one nature means teams can find leads and immediately craft AI-assisted messages to engage them.

Apollo can be viewed as the “operating system” for your outbound team. It may not have an autonomous AI agent sending emails on its own, but it gives your human agents superpowers through data and AI insights. Many companies use Apollo in conjunction with an AI writing tool (like Copy.ai) or alongside a more autonomous platform. For example, you might use Apollo’s data to fuel Landbase or 11x.ai campaigns. Apollo’s strength is the breadth of its dataset and the completeness of its toolset for GTM workflow.

In summary, if you’re building a modern sales machine, Apollo.io is likely to be in your stack. It ensures you’re targeting the right people (huge, accurate database) and hitting them in a systematic way (sequencing + AI guidance). The result is a far more efficient and effective go-to-market process – making it a foundational “must-have” even as pure AI agent solutions gain prominence.

6sense — Predictive Intelligence Platform (AI-Driven, Not Agentic)

6sense is the leading platform in the Account-Based Marketing (ABM) and predictive sales intelligence category. Again, it’s not an autonomous outreach agent, but it uses advanced AI/ML to identify which accounts are “in market” and guide your sales and marketing teams on who to target and when. In essence, 6sense acts as an AI-powered radar for your GTM teams, shining a light on buyer intent that is otherwise hidden.

Key Aspects of 6sense:

  • AI-Powered Account Identification: 6sense gathers mountains of data on B2B buyer behavior – from your website visits (even anonymous ones), to research on third-party sites, to intent signals, to CRM data. It uses AI models to predict which accounts are in a buying journey for products like yours, even before they raise their hand. This is their “predictive analytics for revenue” capability. Essentially, 6sense scores accounts and identifies those accounts that sales should prioritize because they’re showing intent now.
  • The “Dark Funnel” Insights: Stats often cited by 6sense – e.g., only 7% of B2B buyers ever fill out a form on your site, and 78% of buyers research solutions anonymously(11). 6sense’s AI connects the dots on that anonymous activity (via reverse IP, cookies, etc.) to specific companies and buying stages. This gives GTM teams a huge advantage, knowing where to focus. Instead of cold-calling 1000 companies, you focus on the 50 that the AI says are actively researching your category.
  • Sales and Marketing Orchestration: 6sense doesn’t send emails itself, but it integrates with CRM and engagement tools. It can trigger alerts to reps (“Account ABC just surged on intent for X – reach out now!”) and even feed lists into marketing campaigns. They also added an Email AI feature recently that can generate hyper-personalized sales emails for reps to send to high-intent accounts(10) – so there is a bit of AI agent flavor in helping compose outreach.
  • Impact on Pipeline: Companies using 6sense have reported substantial lifts in pipeline and deal size. For example, KBX Logistics saw a 318% increase in pipeline and 504% larger average deal size in just one quarter after aligning sales and marketing with 6sense’s insights(10). Another customer, AlgoSec, saw pipeline velocity (the speed of moving deals) grow by 30% and identified 150+ new high-value accounts in year one(10). Essentially, by focusing efforts on the right accounts at the right time, everything moves faster and closes bigger.
  • Guided Selling: 6sense acts like an AI advisor telling your reps who to call, what to say (based on the account’s web research), and when. It’s not taking action autonomously, but this guidance is incredibly valuable. High-performing revenue teams are 2.5x more likely to use tools like 6sense to inform their strategy.

6sense is the perfect complement to an AI sales agent. While the agent executes outreach, 6sense makes sure that outreach is pointed at the best opportunities and is timed for when buyers are receptive. It’s particularly valuable for B2B companies with longer sales cycles or defined account lists (ABM approach), where prioritizing resources is key. By deploying 6sense, companies effectively give their GTM teams x-ray vision into buyer intent – a huge competitive advantage.

In the context of AI in GTM, 6sense showcases how AI can optimize strategy and targeting, even if it’s not sending the emails itself. Many organizations pair 6sense with an outbound tool: 6sense finds who is likely to buy, and an AI agent (or human rep) then engages that account with personalized outreach. The results, as seen, can be transformational in terms of pipeline generated and deals won. If your sales/marketing teams struggle with focusing on the right leads or feel like they’re guessing who to call, 6sense is a proven solution to become far more data-driven and effective.

Empler AI — No-Code Multi-Agent Automation for GTM

Rounding out our list is Empler AI, an emerging platform that provides a no-code, multi-agent automation framework specifically for GTM teams. Empler positions itself as an “Agentic Automation Platform for Go-To-Market” – in many ways akin to Landbase’s vision, but available as a self-service tool you can configure to your needs.

Key Characteristics:

  • Multi-Agent Collaboration: Empler allows you to deploy multiple AI agents that work together on GTM workflows(12). For example, you might set up one agent to handle prospecting (monitoring triggers, building lists), another to handle outreach (personalizing emails, sequencing touches), and another for data cleanup/CRM updates. They can all be orchestrated in a single workflow. The platform provides templates for common roles like “Prospecting Agent,” “Enrichment Agent,” “Verification Agent,” etc., which you can customize(12).
  • No-Code Interface: A big selling point is you don’t need to be technical to use Empler. It offers a drag-and-drop visual workflow builder where you can define the logic and hand-offs between agents(12). For instance, you can diagram: Agent A finds leads -> passes to Agent B to get emails -> passes to Agent C to send LinkedIn messages. This lowers the barrier for non-engineers to harness agentic AI in their sales process.
  • Integrated B2B Data: Empler comes with a huge built-in dataset: over 1 billion professional profiles and 60 million companies in its database(12). Essentially, it has an internal data cloud (like Apollo/ZoomInfo scale) that your agents can utilize. So when an agent needs to fetch contact info or firmographics, it can tap this resource instantly. This is a massive asset – it means your AI agents are “knowledgeable” about a vast universe of companies/contacts out of the box.
  • Seamless Tool Connectivity: Recognizing that GTM stacks have many tools, Empler integrates with CRMs (Salesforce, HubSpot), email systems, sales engagement platforms, etc.(12). Your agents can be granted access to perform actions in these systems. For example, an agent could create a new contact in Salesforce and log an activity after sending an email. This ensures the AI operates within your existing workflows rather than siloed.
  • End-to-End GTM Use Cases: Empler is flexible to support various processes – outbound sales, inbound lead routing, customer follow-ups, etc. The platform’s blog speaks to use cases like hyper-efficient prospecting (agents monitoring news and job changes to find new targets), automated data enrichment, personalized outreach, and even customer success automation (nudging customers on usage, for instance).

Benefits and Differentiators: Empler’s approach of letting you design your own AI agent team without coding is powerful. It’s like giving you the toolkit Landbase built for itself. Companies can create very tailored automations – a big plus if your process has unique steps or you want more control than a pre-packaged solution allows.

While specific customer metrics for Empler are not widely published yet (it’s newer), the promise is similar: significantly more pipeline with less work. Empler cites that agentic automation can lead to 5-10x improvements in productivity and huge time savings by eliminating routine tasks. And since it’s adaptable, you can start with one automated workflow and expand as you gain confidence.

One indicator of the potential: Empler highlights that 75% of companies using AI-driven enrichment/improvements saw better sales performance and that high performers incorporate these automations deeply(4). This aligns with broader studies (like McKinsey’s) that companies who fully embrace AI in sales achieve ~15% revenue boosts and ~30% cost reductions on average(4). Empler essentially provides the platform to realize those kinds of gains in your GTM motion.

Empler AI is a compelling choice for teams that want the power of autonomous GTM agents but with the flexibility to build their own processes. It’s like a construction kit for your ideal AI-driven sales machine. If you have the vision for how your sales & marketing tasks could be automated, Empler gives you the means to bring that to life quickly. As no-code tools go, this one is at the cutting edge – merging ease of use with advanced AI under the hood. Keep an eye on Empler as agentic AI continues to gain traction, especially among innovative GTM leaders who want custom solutions.

Embrace the Future of GTM with AI Agents

The sales and marketing landscape is moving faster than ever, and businesses that fail to adapt risk being left behind. As we’ve seen, agentic AI – autonomous AI agents purpose-built for GTM – are revolutionizing how companies generate pipeline and drive revenue. From Landbase’s fully autonomous AI SDR team, to 11x’s digital workers, to the specialized tools and platforms like those offered by Artisan, Apollo, 6sense and others, the common thread is clear: automation and intelligence at scale are the new keys to GTM success.

Traditional GTM strategies are often constrained by fragmented tools, manual busywork, and slow reaction times. Those approaches simply can’t match what today’s AI agents can do. An autonomous agent can analyze millions of data points in seconds, coordinate outreach across email, phone, and social simultaneously, and learn from each interaction to continuously improve results. They operate 24/7, never get tired or complacent, and can be replicated infinitely at near-zero marginal cost. In practical terms, that means even a small business can achieve the reach and personalization of a much larger enterprise – if they leverage the right AI solutions.

Now is the time to embrace this next evolution of GTM execution. Organizations that integrate agentic AI into their sales strategy will gain a massive competitive edge by automating the heavy lifting of prospecting and outreach, improving lead quality, and engaging buyers round the clock. Early adopters are already reporting outsized wins: 4–7x higher conversion rates, 70%+ reductions in cost per opportunity, and record-breaking pipeline growth in historically slow periods. By contrast, companies sticking to manual methods are seeing diminishing returns and burnout among teams.

Whether you are a fast-growing startup building your first outbound motion or an enterprise seeking to optimize a mature sales process, there is an AI agent solution to fit your needs. The tools profiled in this blog – from fully autonomous platforms like Landbase to data-driven intelligences like 6sense – show that you can start small and specific, or go big and end-to-end. What matters is taking that first step: identify a part of your GTM workflow that’s ripe for AI automation and pilot an agent to handle it. The results will speak for themselves.

In today’s market, the ability to scale revenue operations without scaling headcount is a defining advantage. By offloading repetitive tasks to AI and augmenting your team with tireless digital assistants, you enable your sales reps and marketers to focus on what they do best – building relationships and closing deals. It’s not about replacing humans; it’s about allowing your humans to be more human (strategic, creative, empathetic) by letting machines handle the grunt work at which they excel.

Landbase and its peers are leading this transformation. Landbase’s success with agentic AI (customers adding hundreds of thousands in MRR in weeks, etc.) demonstrates what’s possible when you “set it and forget it” with a well-trained AI GTM team. The same goes for others: 11x showing AI SDRs can outperform whole teams, or Salesforce Agentforce enabling a billion mini-agents across business functions. These aren’t future visions – they are here now.

References:

  1. martal.ca
  2. sifted.eu
  3. reply.io
  4. superagi.com
  5. unifygtm.com
  6. salesforce.com
  7. surveymonkey.com
  8. lyzr.ai
  9. blitzllama.com
  10. 6sense.com
  11. demandgenreport.com
  12. empler.ai

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