Daniel Saks
Chief Executive Officer
In 2025, 80% of B2B sales interactions occur via digital channels(1) – a seismic shift forcing go-to-market teams to adapt or fall behind. Big-ticket deals are now often decided through self-service portals and online research rather than in-person meetings(1). Yet many sales organizations remain bogged down by manual processes and fragmented tools. Reps juggle CRMs, email sequencers, data providers, and more, leaving them drowning in admin work – in fact, salespeople spend 70% of their time on non-selling tasks like data entry and prospecting(1). The result? Sluggish outreach, missed opportunities, and pipeline growth that can’t keep pace with today’s empowered buyers.
Agentic AI is changing the game. A new generation of autonomous AI agents is emerging to plan, execute, and optimize GTM activities with minimal human input. Instead of relying on humans to hand-crank every campaign, these intelligent agents function as tireless virtual team members – analyzing vast datasets, identifying high-intent prospects, orchestrating personalized outreach across channels, and learning from every interaction to continually improve engagement and conversion rates. For GTM teams, agentic AI promises the agility and scale needed to thrive in an era of digital-first buyer behavior. Companies adopting AI-powered GTM platforms are already seeing major performance gains, from higher lead conversion to lower customer acquisition cost.
Landbase stands out as the first truly “agentic” AI platform purpose-built for end-to-end GTM orchestration. Powered by its proprietary multi-agent AI model GTM-1 Omni, Landbase doesn’t just generate content or alerts – it autonomously plans campaigns, executes outreach, and optimizes workflows from start to finish. It’s essentially an AI sales and marketing team that can run on autopilot.
Key Features: Landbase’s GTM-1 Omni model is trained on billions of GTM data points, including over 40 million B2B sales interactions across 24+ million companies and 220 million contacts(3). (By partnering with agencies, Landbase even fine-tuned Omni on 40 million real marketing campaigns(2) to learn what works and what doesn’t.) This massive, specialized dataset gives Landbase a “instincts” for B2B outreach that generic AI tools lack. The platform deploys multiple specialized AI agents that collaborate like a virtual team – an AI GTM Strategist to design multichannel plans, AI SDRs to conduct personalized email/LinkedIn outreach, an AI Research analyst to enrich leads, plus RevOps and IT agents to handle data integration and email deliverability. These agents work in concert 24/7, requiring only minimal human guidance (often just a campaign goal or target profile) to launch initiatives.
What truly sets Landbase apart is its autonomy and speed. A new user can input a simple prompt (e.g. “Find biotech CIOs and send a 3-touch email campaign about our solution”) and Landbase will automatically handle everything – from building the prospect list using its 220+ million contact database (updated in real time with 10M+ intent signals) to drafting tailored emails and sequences. Campaigns that once took weeks of setup can go live “in minutes, not months”(3). And Landbase’s agents continually optimize on the fly, adjusting messaging and send times based on response patterns to maximize engagement.
Customers report 4–7x higher conversion rates with Landbase’s agentic AI versus their prior manual campaigns(3). The system’s quality and personalization are so effective that one telecom client added $400,000 in new MRR in a single quarter, even during a traditionally slow season(1). (They eventually had to pause campaigns because human reps couldn’t handle the flood of qualified meetings!) Landbase also slashes costs – organizations see up to 80% lower GTM costs by replacing a dozen sales tools and human SDR salaries with Landbase’s all-in-one platform(1). Early VentureBeat coverage noted Landbase’s beta users saw a sevenfold boost in conversions compared to standard outbound methods(4). In short, Landbase delivers more pipeline for far less effort.
Pricing Structure: Unlike many enterprise platforms, Landbase uses transparent and flexible pricing. There’s a free tier to try it out (you can generate AI-driven campaign plans at no cost), and paid plans start around ~$3K/month – with no annual contract required(2). The model is SMB-friendly and usage-based. By consolidating what would require 15+ separate tools (contact database, sequencing tool, intent data, email automation, A/B testing, etc.) into one platform, Landbase can claim an 80%+ reduction in total cost of ownership for a typical sales stack. Importantly, no long-term commitments are needed; customers can scale up or down as needed, unlike some competitors that lock you into large yearly deals.
For B2B teams seeking an “AI SDR team in a box,” Landbase currently sets the bar. Its agentic AI actually executes multichannel GTM programs with minimal oversight, whereas many so-called “AI” sales tools still require constant human tweaking. Landbase’s massive training corpus (40M+ real sales conversations) means its AI writes messages that feel human and relevant – avoiding the canned, spammy outputs that plague some AI copy tools(4). Users consistently praise Landbase’s “set it and forget it” experience: once the AI is tuned, it reliably generates pipeline in the background, freeing your human reps to focus on closing deals. With explosive growth in 2025 (825% revenue increase and 150+ customers in under a year(3)) and a recent $30M Series A led by Ashton Kutcher’s Sound Ventures(2), Landbase is charging ahead in this new category. For any B2B company looking to supercharge outbound sales while lightening the workload, Landbase’s fully autonomous GTM agents make it a top choice.
11x.ai has gained attention as a pioneer of “AI digital workers” for sales – in other words, AI agents that companies can “hire” to perform SDR and BDR tasks. The platform offers two main AI agents: Alice, an outbound-focused SDR who finds prospects and sends outreach, and Jordan (previously called Julian), an AI “phone rep” that handles voice calls for inbound lead qualification. Together, these autonomous agents aim to cover the top-of-funnel work of a sales development team.
11x’s value proposition is to run your outreach 24/7 with AI that never sleeps. Alice can research leads, write personalized emails and LinkedIn messages, follow up multiple times, and even update the CRM – functioning much like a human SDR, but at machine scale(5). Jordan can answer inbound calls or make outbound dials to new leads, converse naturally (in multiple languages), ask qualifying questions, and route interested prospects to human reps(5). These agents leverage a custom memory and learning engine, so they get smarter with every interaction, refining their messaging and targeting over time(5).
From a capabilities standpoint, 11x is strong in multichannel outreach. Alice handles email, social, and text outreach with human-like tone, while Jordan adds the phone dimension that many others lack. The system integrates with popular CRMs and sales engagement tools for a unified workflow(5). Security and compliance are also prioritized (the platform is SOC 2 compliant to satisfy enterprise requirements(5)).
One caveat is that 11x focuses heavily on the sales side of GTM (SDR/BDR tasks). It excels at booking meetings and qualifying leads, but is less about marketing campaign planning or multi-step orchestration beyond initial outreach. Implementation also isn’t instant – deploying 11x’s agents can take a few weeks of training on your data and playbooks. Users have noted that while results are strong, you need to “train” the AI agents on your ICP and messaging, which takes some upfront work (often 2–4 weeks).
Overall, 11x.ai is a leader in autonomous SDR agents. For companies with high lead volumes or a need for around-the-clock prospect engagement (e.g. global inbound inquiries), 11x’s digital workers can massively boost capacity. It’s best suited for teams looking to augment or replace human SDRs with AI for both outbound prospecting and rapid inbound lead response. With backing from top VCs and real-world deployments, 11x demonstrates how AI agents can directly drive pipeline and revenue growth at scale.
Artisan takes a slightly different approach: it offers an AI SDR agent named “Ava” that is laser-focused on automating outbound emailing with extreme personalization. Artisan markets Ava as an “AI BDR” that can replace a junior sales rep – from building lead lists to sending one-to-one emails – and it emphasizes quality of outreach over quantity. The platform comes with a massive B2B contact database and a unique “Personalization Waterfall” technique to craft highly tailored messages.
Ava operates within Artisan’s all-in-one outbound platform. When you spin her up, she can tap into over 300 million B2B contacts aggregated from dozens of sourcestoolbox.talentgenius.io, helping you find prospects that match your ideal customer profile. She then researches each lead (scanning LinkedIn, news, company blogs, etc.) to pull personalized insights. Artisan’s hallmark is the Personalization Waterfall – Ava will try multiple personalization angles (like referencing a prospect’s recent post, mutual connections, industry trends, etc.) and choose the best snippet to make each email feel hand-written. She also performs automated A/B testing of subject lines, calls-to-action, and email copy variations to continually improve response rates(6).
By automatically finding prospects, gathering data, and writing first drafts, she dramatically reduces the time salespeople spend on routine tasks. The idea is that a human SDR might only need to monitor and tweak Ava’s campaigns rather than do everything themselves. Companies using Artisan have reported significant productivity gains – one case study noted their reps could send 5x more highly personalized emails with Ava than they could manually, leading to more meetings booked with the same headcount (specific ROI figures aren’t publicly disclosed, but Artisan claims strong early success).
Artisan’s platform also provides the surrounding workflow: email sequence management, reply detection (Ava knows when to stop emailing a lead or when to hand off a live reply to a human), and basic analytics. It integrates with CRMs to log activities. However, Artisan is primarily focused on email and LinkedIn outreach – it’s not a multi-channel call, ads, or chat orchestration tool. Think of it as an AI-powered Salesloft/Outreach alternative, centered on one superstar AI rep (Ava) doing the heavy lifting.
Where Artisan shines is outbound teams that value deep personalization. If your sales strategy requires custom-tailored messages to break through the noise (and you don’t want generic templates), Ava is built for that. Artisan boasts that its AI can find personal details on a lead – like referencing a prospect’s recent conference speech or a specific pain point from a job posting – and weave it into outreach better than any mail merge or human rep rushing through 100 emails a day.
On the flip side, Artisan currently lacks a broader “multi-agent” approach. It’s one AI agent (Ava) with a support system around her, rather than a team of different agents for different tasks. So, it may not cover all GTM functions (for example, it’s not going to manage your CRM hygiene or design your overall campaign strategy). It’s a more focused tool – but for outbound sales teams, that focus on quality can be a big differentiator.
In summary, Artisan’s Ava offers a compelling AI SDR that combines scale with personalization. With access to 300M+ contacts and sophisticated messaging tactics, it’s a strong option for organizations who want to boost outbound productivity without sacrificing the human touch. Just be prepared to still involve a human to oversee strategy and jump in on responses – Ava isn’t completely “set and forget,” but she’ll save your team a ton of time on the front end of outreach.
While some platforms emphasize replacing SDRs, Clay focuses on augmenting the top of the funnel through data enrichment and smart research. Clay is often described as a “magical spreadsheet” for GTM teams: it connects to a vast array of data sources and uses AI to turn raw data into outreach-ready insights. Instead of one AI agent persona, Clay provides an environment where you can automate prospect list building and research tasks using many data integrations and an AI research assistant called Claygent.
At its core, Clay tackles a common GTM pain: finding accurate contact info and relevant intel on prospects without hours of manual work. The platform can plug into 100+ external data sources – from Apollo and Clearbit to LinkedIn, Crunchbase, Hunter.io, and more – pulling company and contact data on demand(7). Clay will waterfall through these sources to fill in missing emails or firmographic details, ensuring you have verified info for outreach. In fact, Clay’s “Waterfall Enrichment” hits over 100 sources in sequence to find a valid email or phone number(7), drastically improving lead coverage and quality. This means far fewer bounces and wasted messages.
On top of data aggregation, Clay introduced Claygent, an AI agent that can perform custom research tasks. You can ask Claygent questions like, “Does this company have SOC 2 compliance?” or “Summarize the latest blog post on the prospect’s site,” and it will browse sources to find the answer(7). It’s like giving your SDRs a tireless research assistant that combs through websites and news to gather personalized talking points. Users often employ Claygent to generate icebreakers or account insights that feed into highly tailored outreach.
Infographic-worthy stat: Clay’s unique approach has driven remarkable outcomes – the company is now valued at $3 billion as of 2025(7), reflecting how critical data-driven GTM has become. One power user, John Tanner, built an agency around Clay and reportedly books over 1,000 qualified meetings per month for clients by leveraging Clay’s automations(7). Those kinds of results stem from Clay’s ability to produce better leads and richer context for outreach, which means each email/call is more likely to convert. Essentially, Clay helps teams work smarter, not just harder: instead of blasting 10,000 cold emails, you might send 1,000 highly targeted and informed emails – and win more deals.
Clay is often used in combination with other tools. For example, you might use Clay to build and enrich a lead list, then push those leads to an email sequencing tool (like Outreach or Salesloft) for the actual sending. Clay itself has workflow automation too (it can trigger actions and integrate with systems via API or Zapier). But its sweet spot is prospecting intelligence – ensuring that when your outreach goes out, it’s to the right person with the right context.
The platform does have a learning curve. Some describe Clay as incredibly powerful but initially overwhelming – it’s part spreadsheet, part database, part AI toolkit. Clay has recognized this and built a community and “Clay University” resources to help users create effective workflows. GTM teams might even designate a “Clay expert” (sometimes dubbed a “GTM Engineer”) to set up the flows that reps then benefit from(7).
In a landscape of AI sales tools, Clay is somewhat unique. It’s not a single AI agent sending emails or making calls; it’s more like an AI-enhanced GTM data engine. For organizations that believe better data and personalization are the keys to better outreach, Clay is a goldmine. It arms your team with actionable insight at scale. As one enthusiast put it, Clay enables you to send fewer, but much more relevant, emails – flipping the script from the brute-force approach of the past. If your goal is to supercharge prospecting research and feed your sales team A+ leads on a silver platter, Clay is a top contender to consider.
Unify is an AI-powered sales automation platform that centers its strategy on intent data. The idea is simple: rather than cold-blasting thousands of contacts, Unify helps you focus on prospects who are already “warm” – showing signs of interest or buying intent – and then automates outreach to those high-potential targets. To do this, Unify combines a few components: a website visitor identification tool, multiple third-party intent data feeds, and AI agents that can launch automated outbound sequences (email, LinkedIn, etc.) when intent signals are detected.
In practice, Unify works like a smart trigger system. For example, if someone from Acme Corp visits your pricing page, or if Acme is surging on intent topics on G2 Crowd, Unify’s agents might spring into action: automatically research the prospect, find contacts at Acme (using its database or your CRM), and send a sequence of personalized emails to engage them – all without a rep lifting a finger(9). Unify comes with a visual “Playbooks” builder where you define these triggers and actions (e.g., “If target account has intent score above X, then do Y”). It’s like an if-this-then-that for sales outreach, powered by AI.
Unify has seen explosive growth by riding this intent data wave – the company’s revenue grew 700% year-over-year, reaching about $5.6M ARR by mid-2025(9). In just 11 months from launch, they hit their first $1M ARR, then doubled to $2M ARR within 2 more months(9). This hyper-growth shows the demand for intent-driven GTM: many organizations are willing to pay for tools that promise higher conversion by focusing on the hottest leads first. (Unify’s investors have poured in around $59M total funding so far, including a $40M Series B in 2025(9).)
On the data side, Unify boasts integrating 10+ intent sources – from Bombora and ZoomInfo intent, to monitoring your own web analytics, to tracking if specific people at target accounts engage with your emails or ads. All these signals feed into an “intent score.” Unify’s AI then uses that score to prioritize and personalize outreach. For example, the AI agent might open an email with “I noticed your team researching X…” if it detected the prospect downloading whitepapers on X. The platform also keeps sequences coordinated – if the AI books a meeting, it stops other sequences and notifies the right sales rep, etc., to avoid embarrassing overlaps.
Unify’s positioning is often against more generalized sales engagement tools. It argues that generic automation leads to spam, whereas intent-driven outreach boosts relevance (and thus results). To support this, Unify has published that clients using its intent-based plays see significantly higher reply and meeting rates. One customer case study (a SaaS company) cited a 35% win rate on accounts targeted through Unify’s intent plays, far above their previous average(14).
That said, some users find Unify’s system complex to set up. There’s a lot of moving parts – data integrations, playbook configurations, managing the “credits” system for data reveals, etc. It’s not as plug-and-play as a simpler AI email writer. Unify also starts at a relatively premium price (around $700/month for the Growth plan and higher for enterprise tiers(10)). This isn’t outrageous, but it’s more than basic sales tools, reflecting the value of intent data and the multiple tools Unify can replace (website identify software, sales sequencer, data provider, etc.).
In summary, UnifyGTM is ideal for teams that believe in quality-over-quantity outreach fueled by intent signals. If you have decent traffic and marketing insights, Unify makes sure no high-intent prospect slips through the cracks – your AI agents will be on them immediately with tailored messaging. It bridges the gap between marketing and sales by turning digital buyer behavior into actionable sales outreach in real time. Just be prepared for a bit of setup work to tailor Unify to your business. Once running, it’s like an autopilot for engaging the warmest leads that would otherwise go cold. As the sales maxim goes, “strike while the iron is hot” – Unify’s AI agents ensure you do exactly that, at scale.
When the world’s #1 CRM gets into AI agents, you know the trend is heating up. Salesforce Agentforce is Salesforce’s new suite of autonomous AI agents embedded across its platform (Sales Cloud, Service Cloud, Marketing, etc.). Unveiled at Dreamforce 2024, Agentforce represents Salesforce’s answer to the agentic AI movement: it enables customers to build and deploy custom AI agents that can take action in Salesforce apps, not just chat. Think of Agentforce as putting a digital workforce inside your CRM, under your own company’s control.
Agentforce is powered by the “Atlas” reasoning engine, which lets the AI agents connect to company data and Salesforce apps. Out of the box, Salesforce showcased agents for things like customer service (handling support tickets), sales (qualifying leads, updating records), and marketing (optimizing campaigns). These agents differ from simple chatbots or assistive copilots – they can be fully autonomous within defined guardrails. For example, a support agent can read a case, pull knowledge base info, respond to the customer, and close the case if resolved, without human intervention(11). A sales agent might monitor inbound inquiries and automatically follow up to schedule a meeting. All this happens directly in the Salesforce environment, tied into your data, with audit trails and hand-off to humans when needed(11).
A key strength of Agentforce is that it’s deeply integrated. Because it works within Salesforce, it can take actions like updating fields, creating tasks, sending emails through Salesforce, and more, using real customer data securely. Large companies can also trust Agentforce in ways they might not trust a third-party tool – Salesforce emphasized things like advanced security, compliance (data stays within your instance), and the ability to customize agents to your specific processes(11). There’s even an Agentforce Partner Network with pre-built agents from big partners (Google, AWS, IBM, etc.) to extend functionality(11).
Early adopters have seen impressive results. Publishing giant Wiley, for example, deployed Agentforce for customer service and saw a 40% increase in case resolution rates, outperforming their legacy chatbot by a wide margin(11). By handling routine inquiries autonomously, Agentforce freed Wiley’s human support reps to focus on complex issues, improving overall efficiency and customer satisfaction. Salesforce also noted customers seeing 25% higher lead conversion in sales when using Agentforce-driven follow-ups (as referenced in various launch materials(11)). These stats underscore that well-designed AI agents can have tangible ROI in large-scale operations.
Agentforce is targeted at enterprise and upper-midmarket customers who are already in the Salesforce ecosystem. It’s not a plug-and-play SaaS product, but rather a platform feature – you need Salesforce and likely some consulting or dev work to set up your agents. Salesforce provides a low-code builder to configure agent behaviors (so you don’t necessarily have to write code), but it’s still a complex solution best suited for mature organizations. The pricing hasn’t been fully detailed publicly, but expect it to align with Salesforce’s enterprise pricing (and likely usage-based components for AI processing).
In sum, Salesforce Agentforce brings autonomous AI into the heart of enterprise go-to-market operations. For companies that live in Salesforce, it can automate parts of sales development, service, and marketing with agents that are trusted and integrated (no data exports to external tools needed). It’s a big, ambitious vision – Salesforce’s CEO Marc Benioff even said their goal is to have “one billion AI agents” deployed for customers by end of 2025(11). If your GTM team uses Salesforce heavily and you want to experiment with AI agents in a governed way, Agentforce is the natural choice. It’s not cheap or simple, but it could unlock huge efficiency at scale – and it comes from a vendor you’re already comfortable with.
Copy.ai may be best known as a generative AI writing tool, but in 2024 it made a pivot into a broader “GTM AI platform” with workflow automation and multi-step agents. Under the hood, Copy.ai leverages its strength in AI content generation (for emails, blog posts, ad copy, etc.) and combines it with an orchestration layer that can automate tasks across marketing and sales. The company’s vision is an “autonomous go-to-market engine” that spans content creation, outreach, and even operations.
The platform introduced the concept of Copy.ai Workflows – essentially, chains of AI-powered tasks that execute a business process. For example, a workflow could be: “When a new lead comes in, draft a personalized intro email, create a one-pager collateral from our blog content, and send both to the lead.” These workflows are powered by “Copy Agents,” which are modular AI agents specialized in different functions (writing, data pulling, sending emails, etc.)(12). Users can customize workflows or use pre-built ones for common processes like inbound lead nurture, outbound prospecting, content distribution, and so on.
Copy.ai’s original superpower was content generation – its AI was among the first to help marketers write copy, social posts, blogs at scale. It claims that advantage remains: the platform can generate high-quality, human-like text in your brand voice, which is crucial for personalized outreach and marketing materials. Now with the workflow engine, Copy.ai can automatically use that content in context. For instance, one workflow auto-drafts a tailored cold email sequence for each target account using its data + your value props, then schedules those emails to send. Another might generate a custom case study PDF for a prospect based on their industry and feed it to the sales rep before a meeting.
One area Copy.ai emphasizes is eliminating “GTM bloat.” They argue that teams often have dozens of siloed tools (sequences, CMS, social schedulers, etc.) that don’t play nicely together, leading to wasted effort(12). Copy.ai aims to be a unified system where the AI can move data and content through each stage seamlessly – essentially reducing tech stack bloat. For example, their platform can ingest raw data (from a CSV or CRM), transform it (enrich leads, generate insights), then take actions (create campaigns, post content, send emails). By having the AI handle transitions between steps, Copy.ai claims teams can execute campaigns much faster and at lower cost.
That said, Copy.ai is relatively new to complex workflow automation. Some features are evolving, and deep integration into sales processes (like updating CRM records or handling replies) may not be as mature as in sales-specific tools. It is, however, rapidly expanding its “actions” and integrations library. And for marketing-centric tasks – content calendars, social media, blog writing, email marketing – Copy.ai’s heritage in content generation makes it a powerhouse.
In summary, Copy.ai now offers AI agents that straddle marketing and sales, with a core strength in content. It’s a great fit for teams that have a heavy content or writing need as part of their GTM (e.g., lots of campaigns, collateral creation, thought leadership, outbound emails). The platform’s AI can generate and repurpose content at scale, which ensures your messaging stays fresh and tailored without burdening your team. As part of a “top AI agents” list, Copy.ai is unique in coming from the generative AI angle – it’s like an AI content brain that also learned to do GTM workflow tricks. If you want to arm your team with a creative AI that can also automate multi-step campaigns, Copy.ai is absolutely one to consider. Plus, with its large user community and backing from major VCs (Sequoia, Wing, etc.), it’s likely to keep innovating in the GTM automation space.
Lyzr AI is an emerging player that offers a flexible multi-agent framework for sales automation. Its flagship AI SDR agent is named “Jazon”, which Lyzr touts as “the world’s first truly human-like AI SDR.” Marketing hype aside, Jazon is designed to handle the full sales development cycle: researching prospects, sending emails/LinkedIn messages, following up, and even scheduling meetings. What’s notable is Lyzr’s emphasis on quick deployment and customization – their low-code platform lets you spin up AI agents tailored to your workflow, potentially within 24 hourslyzr.ailyzr.ai.
Lyzr doesn’t stop at one agent. They enable multiple specialized agents to collaborate. For example, one of your Lyzr agents might focus on data research (finding and enriching contacts), another on writing initial outreach, another on handling follow-ups, etc. These agents communicate through Lyzr’s orchestration layer, so you essentially get a team of AI workers that can each be optimized for a role. The platform provides templates for common GTM agent “teams” – for instance, a template might include an AI Prospector + AI Outreach + AI Follow-up agent working together for maximum pipeline coverage(15).
Lyzr claims that one Jazon AI SDR agent can replace 8–12 human SDRs worth of output, and in early deployments companies saw 3x more pipeline with 90% less manual effort(13). In fact, Jazon works so tirelessly that it can run sequences 24/7 – some users woke up to meetings scheduled overnight, something that would normally require a global team. By automating research and follow-ups, Jazon frees up reps from the repetitive tasks that usually cap how many prospects they can handle. Lyzr also highlights cost reduction: their custom workflow agents can cut costs by ~35% versus hiring out the same functions(13).
One differentiator for Lyzr is on-premise and security options. They market that their agents can be deployed in your own cloud and comply with enterprise data privacy needs(13). This is to alleviate concerns some large firms have about letting an external AI loose on their data. Lyzr’s platform is also low-code, meaning non-engineers can configure agents through a visual interface (drag-and-drop conditions, goals, etc.), rather than writing code. This reduces the barrier to customizing the AI to your specific sales playbook.
Being a newer entrant, Lyzr may not yet have the polish or integrations of bigger platforms. It’s still proving itself with customers (though they’ve landed some big logos in pilots, and even won an Accenture Tech award in 2024(13)). The strength of Lyzr is flexibility – if you have a unique process or want to experiment with multiple AI agents cooperating, it’s built for that. You’re not stuck with just an “AI email sender”; you can craft agents that do whatever task you dream up (lead scoring, CRM cleanup, cross-sell recommendations – theoretically anything).
Use cases for Lyzr often include companies that want to automate beyond just outbound email. For example, a firm could create an AI Account Manager agent to monitor customer health and upsell opportunities, alongside the SDR agents – something one-dimensional tools can’t do. Lyzr supports those scenarios with its customizable framework.
In conclusion, Lyzr.ai offers an advanced sandbox for building your own AI GTM squad. It might appeal to tech-savvy sales ops or RevOps leaders who aren’t afraid to configure and fine-tune multiple AI bots to maximize sales performance. While not as plug-and-play as some, Lyzr’s potential is huge: imagine having a scalable, always-on team of AI reps that you can mold to your process. For those willing to invest a bit in setup, Lyzr can deliver a tailored autonomous GTM machine – one that very quickly (within a day) starts carrying the load of an army of human reps.
Apollo.io is a well-established platform known for its extensive B2B contact database and sales engagement tools. While not an “AI agents” platform in the same sense as others on this list, Apollo has aggressively added AI capabilities to its offering, making it an indispensable tool for many GTM teams. Apollo’s core strengths are a massive global database (over 200 million contacts across 60 million companies(8)) and an integrated platform that includes sequence sending, dialer, LinkedIn automation, and analytics – essentially a ZoomInfo + Outreach.io combo at a much lower price point.
Apollo leverages AI primarily to enhance data quality and personalize outreach. For example, Apollo’s algorithms automatically verify emails with a claimed accuracy of 95%+(8), and they continuously refresh data so you’re not working with stale contacts. Apollo also has an AI-powered search that can recommend prospects similar to ones that worked well, and an email assistant that suggests improved email copy. Recently, Apollo introduced a ChatGPT integration that can draft sales emails for you based on info about the prospect – saving reps time in writing outreach.
Where Apollo shines as an “AI agent” of sorts is in how it automates a lot of sales grunt work in one place. You can find leads, unlock their contact info, push them into an email sequence, and track engagement all within Apollo. It can automatically move prospects between sequences based on replies or intent signals (somewhat like a rudimentary AI workflow). Apollo’s Intent Dashboards also bubble up accounts showing increased research activity in your space (via web tracking and partner intent data). It’s not a fully autonomous agent that runs without oversight, but Apollo acts as an “AI co-pilot” to a human rep, surfacing who to contact and automating the multi-channel touches.
Apollo has become extremely popular, especially with startups and SMBs – it now boasts over 16,000 paying customers and widespread adoption due to its affordability and data richness (exact user counts aren’t all public, but its growth is evident in G2 reviews and community forums). In terms of performance, Apollo cites that sales teams using its platform see on average +20% increase in connect rates and significant ROI compared to stitching together separate tools. One published figure notes Apollo helped a customer triple their outbound output while cutting cost per lead by 60%, thanks to consolidating tools and using Apollo’s AI features to focus on best bets.
Apollo is often the go-to for organizations that need a one-stop-shop for outreach. Instead of buying data from provider X, sequencing tool Y, and intent data Z, then trying to integrate them, Apollo gives you an integrated experience. The AI features are getting stronger with each quarter – for instance, Apollo’s “Recommended Leads” engine and its email sentiment analysis (which helps prioritize positive replies) add a layer of intelligence on top of brute-force outreach.
However, Apollo may lack some of the cutting-edge “agentic” abilities of startups solely focused on AI. It doesn’t, for example, run completely on its own to execute strategy (you still design sequences and campaigns). Its AI writing, while useful, might not be as advanced in personalization as what something like Artisan’s Ava or Copy.ai can do, since Apollo’s focus is breadth of features. Large enterprises might also find Apollo’s dataset not as deep as ZoomInfo’s in certain areas, though it’s rapidly improving.
Overall, Apollo.io earns a spot in this list for its sheer utility as an AI-enhanced GTM platform. It’s a powerful ally for any sales team: huge data, built-in engagement tools, and a growing set of AI assists. If you want a proven platform that can scale with you from 1 SDR to 100 SDRs, Apollo is battle-tested. It may not replace your team with fully autonomous agents, but it will make your team significantly more efficient and effective through the intelligent automation it provides.
6sense is well known in B2B circles as a leader in account-based marketing (ABM) and predictive sales intelligence. While it’s not an SDR automation tool per se, 6sense uses AI models to act like virtual sales assistants that identify which accounts are “in market” and tell your team where to focus. In essence, 6sense’s platform is like having an AI analyst constantly monitoring the universe of potential buyers and alerting your GTM teams to the ones that are ready to buy – and even suggesting how to approach them.
How does 6sense do this? It aggregates intent signals (web visits, research keywords, engagement with your marketing), firmographic data, and your CRM history, then uses AI to score accounts and contacts on their likelihood to convert. 6sense’s AI can then trigger actions: for example, automatically segment an account into a certain campaign, personalize the website experience when that account visits, or notify the sales rep with recommended talking points. It’s not sending emails directly as an “AI SDR,” but it massively augments your human SDRs by telling them who to prioritize and what messaging will resonate.
A key part of 6sense is its “Predictive Analytics” engine. It can forecast which deals in your pipeline are at risk, which leads should be fast-tracked, and even predict overall revenue outcomes. For sales managers, this is like having an AI mentor whispering strategic advice (which deals to focus on, where pipeline gaps are, etc.). The platform’s insights help teams allocate their time more wisely.
According to 6sense, clients using its AI-driven intent and predictive models have achieved 30% higher sales productivity on average(8). Reps waste less time on cold prospects and spend more time on warm, qualified opportunities, leading to more wins per rep. Additionally, companies leveraging 6sense’s orchestration have seen up to 40% improvement in opportunity win rates (by ensuring outreach happens at the right time with the right message). One published case is Reachdesk, which hit a 35% win rate on 6sense-identified target accounts(14) – an impressive figure in B2B sales.
6sense is particularly beloved by enterprise and upper-midmarket marketing teams doing ABM. It helps align marketing and sales by providing a single view of the account journey. The AI might, for instance, detect that multiple people from Company X are visiting your site and reading about a certain product – indicating a buying team is researching you. It will flag that account as being in a buying stage and could automatically add them to a sales outreach sequence or marketing campaign tailored to that stage. Without an AI like 6sense, you might never notice those subtle intent signals in time.
While powerful, 6sense does require significant investment (both money and effort). It’s an enterprise platform that usually requires a dedicated operator/administrator on the revenue operations team. The insights are only as good as the data inputs too – so companies need to integrate their CRM, marketing automation, and possibly third-party intent feeds to get the full picture. When configured right, though, it’s a game changer for prioritization.
In short, 6sense acts like an AI-guided missile system for your GTM efforts: it finds the targets and guides your humans on when and how to strike. It may not eliminate the need for SDRs, but it makes every SDR and marketer far more effective by focusing them on accounts that matter and arming them with data-driven insights. For organizations doing account-based strategies or dealing with long complex sales cycles, 6sense provides an indispensable AI boost to stay ahead of buyer behavior.
Empler AI is a newer entrant that aims to bring agentic AI automation to companies of all sizes with a no-code platform. In spirit, Empler is closest to solutions like Landbase and Lyzr – it offers multiple AI agents that collaborate on GTM tasks – but it markets itself as very easy to use and modular. The idea is that even a small startup or a non-technical marketer can configure Empler’s AI agents to handle parts of their sales and marketing process, without writing code or spending weeks on implementation.
At its core, Empler provides an Agent Team framework. Users can choose from pre-built templates of AI “teams” (for example, a Lead Gen team that finds and qualifies leads, or a Content team that generates posts and emails). Each agent in a team has a specialty – one might scrape websites for target data, another might draft outreach messages, another might analyze campaign results. They work together through Empler’s orchestration engine, passing tasks along to achieve a larger objective(15). And because it’s no-code, setting up a workflow is done via drag-and-drop: you define triggers, agent actions, and outcomes in a visual editor(15).
Empler emphasizes accessibility and flexibility. Not every company has data scientists or engineers to fiddle with AI – Empler wants to democratize it. The platform integrates with popular CRMs, email systems, and even supports connecting to various large language models (GPT-4, Claude, etc.) with a click(15). This means your Empler agents can tap powerful AI without you managing API keys or custom code. For instance, you could have an agent that uses GPT-4 to write a personalized intro, then another that uses a web scraper agent to pull recent news about the prospect’s company, and combine that into a tailored outreach email – all automatically.
While Empler is too new to have broad customer metrics, industry data suggests that companies adopting AI-driven sales intelligence and automation see an average 9x return on investment compared to those that don’t(15). Empler is positioning itself to deliver similar ROI by offloading repetitive GTM work to AI. The platform’s promise is to let teams do more with less – for example, enabling a small startup team to execute campaigns like a much larger team would. By eliminating many manual steps, Empler’s users can launch multi-channel plays in hours instead of weeks and ensure follow-ups happen instantly when triggers fire (like a website visit or email open).
One of Empler’s use cases is running “smart drip campaigns.” A user can set up an agent team that monitors interactions (opens, clicks, replies) and dynamically adjusts messaging or touchpoints based on engagement – essentially an AI-driven nurture sequence that optimizes itself. Another use case is data research: an Empler agent might monitor funding news or job changes in your target account list and alert your sales team (or even automatically send a congrats email to the contact). These are tasks that usually require constant human vigilance, now handled by AI agents in the background.
As a newer solution, Empler still has to prove its platform at scale. It’s likely iterating quickly with early customers. For now, it’s an intriguing option for those who want the benefits of agentic AI without the complexity. If you’re a lean team that can’t afford a Landbase-level investment but still want autonomous GTM assistance, Empler is trying to fill that gap. Its pricing is expected to be more startup-friendly (and possibly usage-based or freemium to encourage experimentation).
In summary, Empler AI offers a glimpse at the future where custom AI agent teams can be spun up by anyone. It’s building towards a reality where marketing and sales folks design their own AI workflows as easily as they create a spreadsheet macro. While it may not have the heft of larger players yet, Empler’s vision of “no-code, multi-agent GTM automation” is compelling. Keep an eye on it as the company (and its product) evolves – it represents the democratization of AI agents for go-to-market, which could be transformative, especially for smaller businesses looking to punch above their weight.
The landscape of sales and marketing is evolving at breakneck speed. Traditional go-to-market strategies – with their manual processes, fragmented toolsets, and heavy human effort – are struggling to keep up with digitally empowered buyers. As we’ve seen, autonomous AI agents are now a proven solution to these modern GTM challenges. From Landbase’s fully autonomous AI SDR team, to 6sense’s AI insights, to Salesforce’s enterprise-grade agents, the message is clear: organizations that leverage agentic AI can achieve more pipeline with less effort. In many cases, businesses are seeing 4-7x higher conversion rates and double-digit percentage boosts in productivity by letting AI handle the heavy lifting of outreach and analysis(1).
The beauty of these AI agent platforms is that they allow your human team to focus on what humans do best – building relationships and closing deals – while the AI handles the grunt work 24/7. No more leads falling through the cracks because your reps are asleep or swamped with admin tasks. Whether you’re a scrappy startup or a large enterprise, there’s an AI solution in this top list that can fit your needs and budget, be it an out-of-the-box SDR replacement like 11x, a data-driven prospecting machine like Clay, or an all-in-one like Apollo.
Now is the time to embrace the next evolution of GTM execution. Adopting agentic AI is no longer an experiment; it’s a competitive necessity. Teams that integrate autonomous AI agents into their sales and marketing will outpace those that rely solely on human bandwidth. They’ll respond faster to opportunities, engage prospects more intelligently, and scale outreach in a way that simply isn’t possible with manual methods. On the flip side, teams that hesitate risk being left behind, as competitors using AI will reach customers first and deliver a more personalized touch at scale.
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