Daniel Saks
Chief Executive Officer
The landscape of B2B sales and marketing is evolving rapidly. Go-to-market teams today face pressure to generate pipeline faster, personalize every touchpoint, and do more with less. Traditional GTM strategies often rely on time-consuming manual processes and a patchwork of tools that slow down outreach. AI agents are changing the game. These autonomous AI-driven “digital team members” can plan, execute, and optimize campaigns with minimal human intervention – analyzing vast datasets, identifying high-intent prospects, orchestrating outreach across channels, and learning from every interaction to boost engagement and conversion rates. In fact, recent research shows that sales teams using AI-powered follow-ups see up to 83% higher revenue thanks to better timing and personalization. By offloading grunt work and augmenting human reps, AI agents allow GTM teams to focus on closing deals and strategy, not chasing leads.
This blog will explore the top AI agent platforms for GTM teams in 2025. We’ll cover their key features, use cases, and the data-driven results they deliver. Landbase – a pioneer of “agentic AI” for go-to-market – leads our list with its fully autonomous workflow execution. We’ll also look at other leading solutions and how they compare. For each, we highlight a notable statistic (ideal for an infographic) demonstrating their impact. Let’s dive in and see how AI agents are revolutionizing GTM execution.
Landbase stands out as the first truly agentic AI platform with complete autonomous workflow execution for sales and marketing. In other words, Landbase acts like a full AI-powered SDR and marketing team that can operate independently. The company’s proprietary GTM-1 Omni model was trained on 40+ million B2B campaigns and 175+ million sales conversations, giving it an unrivaled knowledge base of what works in B2B outreach. Landbase couples this with a massive private dataset of 220+ million verified contacts (continuously updated in real time) and 10+ million intent signals to inform its targeting. When a customer onboards, Landbase spins up a multi-agent AI team – e.g. a GTM Strategist agent for campaign planning, an AI Marketer for content, an AI Sales Rep for personalized outreach, plus RevOps and IT agents to manage data and email deliverability. These agents work in concert 24/7 to execute your go-to-market programs from end to end.
Key Features: Fully autonomous, multi-agent system covering the entire outbound funnel. Landbase’s AI finds and prioritizes prospects, writes hyper-personalized emails and LinkedIn messages, sends them on optimal schedules, follows up on replies, and books meetings – all without hand-holding. It orchestrates true multichannel outreach (email, phone, social) and continuously optimizes campaigns based on engagement data. Notably, Landbase’s generative AI content engine was fine-tuned on 40 million successful sales emails, so it produces remarkably human-like, relevant messages at scale. The platform also includes built-in tools for email warm-up, deliverability management, CRM integration, and compliance, so the AI can operate safely at high volume. Users simply set their target ICP and goals, and Landbase’s agents handle the rest.
Pricing Structure: Landbase offers a transparent, SMB-friendly pricing model (starting around $3k/month for full autonomy, with no annual commitments). This can replace 15+ separate sales tools in one platform and reportedly reduce total cost of ownership by up to 80% compared to a traditional sales stack. The company even introduced a free tier in 2025 for generating campaign plans and messaging, with paid plans required for hands-off execution. This try-before-you-buy approach has helped many smaller firms access advanced sales automation.
“Set it and forget it” outbound that drives exponential results. Landbase’s autonomous AI has delivered 4–7x higher conversion rates for customers versus manual campaigns. Early users report 5–7x higher reply rates and pipeline – one even had to pause the system after adding $400K in new MRR during a typically slow period because their sales team couldn’t handle the lead volume. VentureBeat noted that Landbase’s proprietary model achieved a 7-fold increase in conversion rates in early tests compared to baseline AI tools(1). This performance stems from Landbase’s ability to hyper-personalize outreach and constantly self-optimize. Crucially, Landbase maintains content quality at scale – messages read as natural and tailored to each prospect, avoiding the spammy feel that plagues some AI-generated outreach. For B2B SaaS companies looking to supercharge pipeline generation, Landbase offers a nearly hands-off solution. Users consistently praise that “you can set it and forget it” – the AI handles the heavy lifting, and you come back to a calendar full of meetings.
Because it’s an all-in-one platform, Landbase works across industries (tech, telecom, professional services, etc.) and company sizes. Initially popular with high-growth tech startups, it’s now being adopted by non-tech sectors (insurance, manufacturing, agencies) that traditionally lacked access to such automation. Essentially, any B2B organization that needs more pipeline can leverage Landbase’s agentic AI. Companies without an in-house SDR team find it especially valuable as a turnkey outbound engine. Even companies with SDRs use Landbase to augment their efforts and scale outreach rapidly without adding headcount. By eliminating the usual 2–3 month ramp-up for campaigns, Landbase lets you launch outreach in minutes instead of months, which can be a game-changer when speed is critical.
Landbase’s greatest strength is its true autonomy. It doesn’t just offer recommendations or partial automation – it fully executes your go-to-market workflow. The AI decides who to contact, creates the messaging, and carries out the multi-step sequence, all while learning from responses. This level of “autopilot” is unique. It’s why Landbase’s CEO says traditional generative AI is “very last year” and that agentic AI is the next frontier. By acting as an intelligent, always-on extension of your team, Landbase enables organizations to achieve outsized results with minimal effort. One customer summed it up: “Landbase is like hiring a full SDR team that runs itself”. For GTM teams aiming to stay ahead of the curve, Landbase’s agentic AI offers a powerful competitive edge.
Apollo.io is a well-known all-in-one sales intelligence and engagement platform, widely used by GTM teams for prospecting. Apollo provides a massive database of B2B contacts and companies, paired with tools for finding leads and running outbound sequences. In fact, Apollo boasts over 275 million contacts and 73 million companies in its database as of 2025(2) – one of the largest such data repositories. Sales reps can use Apollo to search for prospects that fit their ideal customer profile, then export those leads or reach out via Apollo’s built-in email sequencer and dialer. The platform also offers chrome extensions for LinkedIn, workflow integrations, and basic AI features like recommended email send times or automated triggers.
Key Features: Extensive B2B contact database + outbound automation tools. Apollo’s claim to fame is its rich data: hundreds of millions of verified emails and direct dials, plus filters for firmographics, technographics, funding events, etc. This makes building targeted lists relatively easy. On the engagement side, Apollo includes email template libraries, a sequencer for multi-step cadences, calling and voicemail drops, and basic A/B testing. Recently Apollo has layered in some AI-driven capabilities – for example, suggesting which contacts to target next or autofilling email copy snippets. However, Apollo is largely a do-it-yourself platform: the human user is still in the driver’s seat. You find the leads, you set up the campaigns (with templates to assist), and you press send. The AI features are more assistive (recommendations) than fully autonomous agents.
Huge user base and data scale. Apollo.io has grown explosively – it now serves over 1 million users worldwide(2), primarily in SMB and mid-market companies who need a cost-effective prospecting tool. Its massive dataset (200M+ contacts) rivals incumbents like ZoomInfo in sheer volume. This data-centric approach can yield results: Apollo reports that users have driven 47+ million prospecting actions via its platform in 2025 alone. The big draw is efficiency – sales reps using Apollo can drastically cut down time spent sourcing leads. According to one review, teams leveraging Apollo saw a 16% lift in outbound opportunities simply by having more accurate data and integrated outreach tools.
For go-to-market teams, Apollo offers a strong foundation: who to contact and how to reach them, all in one app. Many startups use Apollo as their first sales tool, essentially arming an SDR with leads and automation to start cold outreach. Its strength is in enabling a rep-driven outbound motion at scale. However, compared to an agentic AI like Landbase, Apollo requires significantly more human involvement. As Landbase’s team would say, Apollo is “do-it-yourself” whereas Landbase is “done-for-you.” The Apollo platform will help find prospects and send emails, but it won’t independently strategize or optimize – you still need an SDR or marketer to steer it. Some companies prefer this level of control (and Apollo’s lower price point; it even has a free plan). But others may hit a ceiling in results if they rely purely on humans using Apollo versus a more autonomous AI system.
In summary, Apollo.io is a top tool for sales intelligence and outreach, especially suited for teams that want a large contact database with built-in sequencing. It’s often compared against point solutions like ZoomInfo (for data) + Outreach (for sequences) since Apollo combines both in one. For GTM teams on a budget or those wanting to augment their human prospectors, Apollo is a great choice. It essentially turbocharges a traditional SDR’s workflow. Just note that it doesn’t eliminate the work – you get out what you put in. As an AI-enhanced platform, Apollo can improve productivity, but it’s not a fully autonomous agent. Users say Apollo is “like an SDR’s cockpit” – it gives you everything you need to fly, but you’re still the pilot.
Outreach is the market-leading sales engagement platform, trusted by many enterprise sales teams to manage outbound sales workflows. Outreach provides a powerful system for designing and executing multi-touch sales cadences (across email, calls, LinkedIn, etc.), complete with analytics and CRM integration. In recent years, Outreach has infused more AI into its platform – notably through its AI assistant Kai and the newly launched Outreach AI Agents. These AI features can suggest next-best actions, summarize call notes, and even autonomously prospect within set parameters. However, Outreach remains, at its core, a rep-centric platform: it amplifies what human sellers can do rather than replacing them.
Key Features: Robust sequencing and sales execution with assistive AI. Outreach’s strength lies in its mature feature set for sales teams. Users can build complex sequence templates, personalize at scale, auto-log activities to CRM, and track granular metrics on opens, replies, and outcomes. It’s known for excellent CRM sync and management dashboards that sales managers love. On the AI side, Outreach has been innovating – they introduced Kai (an AI sales assistant) that can draft emails, highlight important moments from sales calls, and recommend which prospects to prioritize. In 2025, Outreach announced an AI Prospecting Agent that can automatically research contacts and send initial outreach on behalf of reps(4). Early reports are promising: customers in the beta saw up to 10x more outreach productivity using Outreach’s AI agent, freeing reps to spend more time on high-value activities(4). Essentially, Outreach is evolving from just a workflow tool into more of an AI-augmented platform, though humans are still in the loop to approve suggestions, handle complex replies, etc.
Proven ROI in boosting sales productivity. A study by Nucleus Research found that implementing Outreach led to a 36% average increase in sales rep productivity and a 27% improvement in customer engagement for organizations, along with shorter sales cycles(3). This quantifies the impact of streamlining outreach and follow-ups through Outreach’s system. Additionally, companies using Outreach report significant pipeline lift – Outreach’s own case studies cite enterprise teams achieving 3.3x ROI and 20% higher reply rates after rolling it out. The introduction of Outreach’s AI features has only enhanced this: by automating tedious tasks like prospect research and email drafting, Outreach claims reps can save ~2 hours per day, which often translates to more deals in the funnel.
Outreach is often the platform that Landbase or other AI SDR solutions will integrate with or even replace. Many large companies already have Outreach as a staple in their sales stack, using it to support human SDR teams. For risk-averse buyers, sticking with Outreach (and layering in some AI assistants) feels safer than leaping to a fully autonomous system. Outreach itself recognizes the agentic AI trend – hence their product updates – but they walk a line to not displace the salesperson entirely. For GTM leaders, the decision can come down to philosophy: augment humans (Outreach’s approach) vs. automate the function (Landbase’s approach). Notably, Outreach can coexist with agentic AI – e.g., a company might use Landbase to generate extra meetings autonomously, then feed those into Outreach for human reps to continue the conversation. In fact, Outreach acquired the conversation intelligence firm Chorus and has expanded to cover some mid-funnel and coaching use cases (like Clari, People.ai do).
In summary, Outreach remains a best-in-class sales engagement platform, now sprinkled with AI. It’s ideal for organizations that have an existing sales team and want to make them as effective as possible through technology. The platform doesn’t generate pipeline on its own, but it helps your team generate more pipeline than they could manually. If Landbase is an AI SDR, Outreach is like an SDR’s exoskeleton – making them stronger and faster. It’s an excellent tool, and with the new AI agents, it’s starting to blur into the autonomous territory. But for now, Outreach lets you scale outreach with your people, not instead of them.
Salesloft is another top-tier sales engagement platform, very similar to Outreach in purpose and capabilities. It enables sales development reps to execute personalized cadences at scale, track engagement, and improve their process via analytics. Salesloft has built a reputation for a great user experience – many reps find Salesloft’s interface intuitive and “friendly.” Like Outreach, Salesloft has been adding AI-driven features: for example, Salesloft offers conversations (AI call analysis), email sentiment analysis, and opportunity scoring to highlight deals at risk. Still, Salesloft focuses on augmenting the human seller, not automating entire campaigns autonomously.
Key Features: User-friendly sequencing platform with coaching and analytics. Salesloft covers the core needs of an outbound team: you can import or list prospects, build multi-touch email/phone/LinkedIn cadences, automate follow-ups, and measure results. It has strong integrations (e.g. with Salesforce, LinkedIn Sales Navigator) and even built-in dialers and recording for calls. A differentiator for Salesloft has been its emphasis on coaching and rep improvement – it provides leaderboards, “Coach” dashboards, and now AI-driven call transcript analysis to help managers train their teams. Their AI can flag certain keywords in calls or analyze sentiment to identify which approaches work best. Salesloft also introduced an AI feature that prompts reps with recommended actions (similar to Outreach’s Kai). Overall, Salesloft makes sales outreach more efficient and data-driven, but the rep is still running the plays.
More conversations and higher reply rates. According to Nucleus Research, Salesloft customers reported a 52% increase in outbound sales communications after adopting the platform, along with a 14% boost in email reply rates and 17% higher close rates(3). In other words, Salesloft helped reps do more outreach and get better results from it. Another figure from a Forrester Total Economic Impact study showed enterprise teams using Salesloft achieved a 12% higher win rate and 3.3× ROI over three years. These improvements come from a mix of more activity (Salesloft makes it easier to send that extra follow-up) and smarter activity (cadence optimization, faster lead response, etc.). Salesloft’s AI features contribute by giving managers 32% more coaching productivity and surfacing 35% more insights from sales data(3).
In practice, Salesloft often goes head-to-head with Outreach as an either/or choice for sales orgs. Some companies prefer Salesloft’s UI or specific features, but functionality-wise they overlap a lot. For GTM teams, implementing Salesloft means you plan to have your human SDRs doing the outreach, just with a much better toolset. It’s a solution tailored for the human-in-the-loop model – you’re not trying to remove the salesperson, you’re trying to make them as efficient as an AI. Some organizations with strong sales cultures like this approach, as it keeps messaging more under human control. Others who are resource-constrained may find they’d rather have an AI do more of the work (and thus consider other platforms).
Notably, Salesloft was acquired by Vista Equity in late 2021 and has since expanded its vision to what it calls a “Revenue Workflow” platform – they even integrated conversational AI (through acquisitions like Costello and InStereo). So Salesloft is creeping further into covering the whole sales cycle, not just top-of-funnel. But it’s still rarely used for cold prospecting by itself (you’d need a data source like ZoomInfo or Apollo to feed it contacts). In contrast, a platform like Landbase comes with data included. Thus, many Salesloft users are also ZoomInfo users, etc.
In summary, Salesloft is a leading sales engagement and automation tool that GTM teams use to scale outbound efforts. It’s praised for ease of use and robust features for running a modern SDR team. The addition of AI insights and coaching helps improve quality and conversion rates. If you have a team of reps (or even just one SDR) and want to maximize their output, Salesloft is an excellent choice. It won’t autonomously generate pipeline with no people involved – that’s not its aim – but it will ensure your people are operating at peak efficiency. As one customer put it, “Salesloft allowed our small team to do the work of a team twice our size.”
ZoomInfo is the industry leader in B2B contact data and go-to-market intelligence. While not an “AI agent” that executes campaigns, it’s a cornerstone in the GTM tech stack because it provides the fuel (data) that powers many AI or automation tools. ZoomInfo’s SalesOS platform includes an enormous global database of business contacts and companies, along with tools for list building, territory planning, intent signals, and some light outreach capabilities. Many sales teams use ZoomInfo as their primary source of truth for who to target. In recent years, ZoomInfo has incorporated more AI to enrich data and even acquired smaller engagement tools (like Chorus.ai for AI call analysis, and Engage for email sequencing). Still, ZoomInfo’s core strength and focus is data.
Key Features: Comprehensive B2B database with AI-driven insights. The headline for ZoomInfo is its sheer scale and accuracy of contact data. As of 2025, ZoomInfo’s database spans over 320 million professional contacts at 100+ million companies. This includes emails, direct dials, job titles, firmographics, org charts – all kept up-to-date through a mix of web crawling, contributions, and a large research team. On top of this, ZoomInfo provides intent data(signals that a company might be researching certain topics), technographic data (what software a company uses), and news alerts (“Scoops”). Its SalesOS interface allows you to filter and build targeted lists (e.g., “all fintech CTOs in California at companies 50-200 employees”) in minutes. ZoomInfo also offers an Enrich product that uses AI to automatically fill in missing info in your CRM leads, and RevOS analytics to score best prospects. In effect, ZoomInfo uses AI to make sure you have the right contacts and accounts to go after, and to prioritize them.
Dominant data quality and coverage. ZoomInfo is used by over 30,000 companies and a majority of the Fortune 500 for GTM intelligence. Its data accuracy is a key selling point – surveys often find ZoomInfo to have the highest match rates and lowest bounce rates among data providers. One independent analysis noted that ZoomInfo had 94%+ accurate direct dials and emails for tested contacts, beating out competitors. The platform’s impact can be seen in pipeline metrics: companies that fully deploy ZoomInfo’s intent and buyer insights report 2X increases in average deal sizes and 4X higher win rates on target accounts(5) (when combined with proper outreach). Essentially, better targeting yields better outcomes. ZoomInfo itself highlights case studies where clients achieved over 10X ROI in sales pipeline compared to the cost of the data subscription, simply by focusing sales efforts on higher propensity prospects (as identified by ZoomInfo’s tools).
For GTM teams, ZoomInfo often acts as the “engine” that feeds other systems. For example, you might use ZoomInfo to build a contact list, then export it into Outreach or Salesloft to execute emails, or into Salesforce for the sales team to call. Landbase, notably, includes a similar large database – pitching that you wouldn’t need ZoomInfo separately if you use Landbase. Some companies actually integrate the two: using ZoomInfo data within Landbase’s AI campaigns. The overlap is significant – both have huge contacts, but ZoomInfo doesn’t automate multi-channel outreach the way Landbase does. Conversely, Landbase’s data (220M contacts) is approaching ZoomInfo’s scale, but ZoomInfo has a longer track record of data maintenance (with hundreds of employees dedicated to data quality). As a result, trust in ZoomInfo’s data remains high.
One area ZoomInfo has expanded into is providing sales workflow tools (Engage for email sequences, RingLead for data orchestration, etc.), signaling that they may eventually offer a more agentic outbound solution. However, as of 2025, ZoomInfo’s automation capabilities are still modest compared to dedicated outreach platforms. It’s more likely you’ll use ZoomInfo alongside an Outreach/Salesloft or an AI SDR tool.
In summary, ZoomInfo is the go-to source for GTM data – if you need to find leads or enrich accounts, it’s the gold standard. Its value to AI agents is also clear: even the best AI needs quality data to work with. (As the saying goes, “garbage in, garbage out.”) By using ZoomInfo’s rich data and signals, GTM teams can ensure their AI or humans are targeting the right people at the right time. The platform’s evolution with AI (like the new ZoomInfo Copilot announced in 2024 that gives AI-driven account insights and even generates emails) shows that ZoomInfo is not standing still in the AI era. But fundamentally, if you think of your sales process as a car, ZoomInfo is the high-octane fuel that makes it go faster. Pair it with an AI engine, and you have a powerful combination for driving revenue.
6sense is a leading Account-Based Marketing and predictive analytics platform that uses AI to identify which companies are “in market” for your solution. Unlike most others on this list, 6sense does not do outreach or act as a sales agent; rather, it functions as an AI analyst that tells your GTM teams where to aim. 6sense’s revenue AI platform analyzes behavioral intent data (like anonymous website visits, research patterns, content consumption) to uncover which target accounts are showing buying signals and what topics they care about. It then helps prioritize those accounts and orchestrate marketing/sales actions (ads, email alerts, etc.) accordingly. In essence, if Landbase is about doing the outreach, 6sense is about deciding who is likely to buy in the first place.
Key Features: Account prioritization, intent signals, and AI-driven insights. 6sense provides a few core capabilities: Intent Detection – it monitors millions of B2B web interactions to flag when companies surge in interest around certain keywords (e.g. many people at Acme Inc. reading about “cybersecurity compliance” might indicate a project). Account Scoring – it uses AI to combine intent data, your CRM data, and firmographics to predict an account’s stage in the buying journey (e.g. Awareness, Consideration, Decision) and their likely fit. Recommendations – it then tells marketing and sales whom to focus on this week. 6sense also includes an ABM campaign module (e.g. launching targeted ads or sending sales alerts when an account hits a threshold) and can integrate with sales engagement tools to trigger sequences. It’s all about being proactive: catching interested prospects before they raise their hand. In doing so, 6sense aims to improve efficiency by focusing efforts on those most likely to convert.
Huge improvements in win rate and deal size. Companies adopting 6sense’s predictive platform have reported impressive lifts in sales outcomes. According to 6sense, customers see on average 4x increase in win rates and 2x larger average deal sizes by focusing on the high-intent accounts identified by its AI(5). In one case study, a user saw a 40% decrease in deal cycle time because reps engaged accounts at the optimal moment(5). Another saw 32% more opportunities and 43% shorter sales cycles by aligning sales around 6sense’s insights(5). These data-driven results highlight that knowing where to spend your energy can dramatically improve ROI. Essentially, 6sense customers stop wasting time on cold prospects and double down on warm ones, yielding more wins.
For GTM teams, 6sense is particularly popular in enterprise and upper mid-market companies with complex sales cycles. It’s a cornerstone of many ABM strategies – marketing uses it to run personalized ad campaigns at target accounts that are in research mode, while sales uses it to time their outreach and tailor their pitch. While 6sense doesn’t send emails on your behalf, it pairs hand-in-glove with engagement tools: for example, you might feed a list of “hot accounts” from 6sense into Outreach sequences, or have Salesforce tasks created for reps to call those accounts.
How does 6sense intersect with the concept of AI agents? In a way, it’s like having an AI analyst agent on the team that constantly scans the environment and says “here’s where the next deal is likely to come from.” It complements execution-focused agents. One could imagine a future where 6sense’s AI signals directly inform an autonomous SDR agent (like Landbase) to trigger campaigns the moment an account spikes in intent. In fact, some companies already connect the dots manually – e.g., if 6sense says Acme Corp is in Decision stage, they might use an AI SDR to immediately send outreach to the key personas at Acme.
In summary, 6sense is the buyer intelligence and prioritization engine that many modern GTM teams rely on. Its value is in lifting the signal from the noise: amidst thousands of potential prospects, which ones should you actually pursue today? By answering that, it makes every downstream tactic (whether human or AI-driven) more effective. 6sense doesn’t replace the need for outreach; it amplifies it by pointing it in the right direction. For organizations with large TAMs or those doing account-based strategies, 6sense’s AI is a game changer. It’s often cited that “6sense tells you where to fish, and with what bait.” As part of a holistic AI-driven GTM stack, 6sense provides the predictive insight, and other tools then engage and reel in the customers.
Conversica is a pioneer in AI-powered virtual sales assistants. Its revenue digital assistants act like virtual SDRs that autonomously engage leads in two-way conversations, usually via email (and sometimes SMS or website chat). Conversica’s sweet spot is handling the tedious but critical lead follow-up that sales reps often neglect – for example, reaching out to every demo request multiple times, or re-engaging old leads from last quarter. The AI assistant will write human-like emails to these leads, ask qualifying questions, respond to replies, and only hand off to a human when the lead is ready to talk sales. In essence, Conversica provides an AI SDR that specializes in nurturing and qualifying leads rather than cold prospecting.
Key Features: Automated 2-way email conversations and lead nurture. Conversica’s AI assistants come pre-trained for common scenarios like: following up on inbound web inquiries, checking in with event attendees, renewing dormant opportunities, or upselling existing customers. You configure the persona (e.g. “Assistant Ashley”) and goal, and the AI will initiate a conversation with the lead – for instance, “Hi John, I saw you downloaded our whitepaper – are you interested in a demo or have any questions?” If John replies, the AI can interpret the email and respond appropriately, even handling questions like pricing or scheduling logistics. It continues the back-and-forth politely until either the lead says “Yes, I want to talk to sales” (at which point it alerts a human rep to step in), or the lead goes dark after multiple nudges. Conversica leverages natural language processing to make these exchanges feel genuine and not canned. It also has a dashboard for humans to monitor conversations and intervene if needed. One of Conversica’s strong points is its multi-language capability and its ability to handle thousands of lead conversations in parallel, 24/7, never getting tired or forgetting to follow up.
Massive ROI from persistent lead follow-up. Conversica often cites that customers experience on average a 24x return on investment in pipeline value, thanks to their AI assistants converting leads that would’ve otherwise been lost(4). The conversational approach yields impressive lead conversion rates – Conversica’s clients have seen 40–50% of engaged leads eventually convert to a sales meeting or qualified opportunity(4). One case study (Corelight) noted a 12.5% lead-to-opportunity conversion rate using Conversica, covering 7,600 leads and delivering 1000% ROI on that campaign. Another user, CloudCheckr, achieved a 15% engagement rate and 5% “hot lead” rate on dormant leads that their human team had given up on. These stats underscore that a diligent AI assistant, who always follows up promptly and never misses a touch, can dramatically improve lead management outcomes.
For GTM teams, Conversica is typically used to ensure no lead falls through the cracks. It’s especially popular in scenarios with lots of inbound leads (e.g. software trials, webinar leads) or when marketing generates many MQLs that sales can’t chase one by one. By deploying an AI assistant, companies can scale their lead outreach without adding headcount – every inquiry gets a timely response, every lead gets nurtured. While Conversica’s emails are formulaic to a degree, they are effective at eliciting responses because they appear like a helpful human assistant checking in. Importantly, Conversica focuses on warmer leads (usually those who have expressed some interest). It’s not commonly used for pure cold outbound to strangers – that’s more Landbase/Apollo territory. Instead, think of Conversica as covering the middle of the funnel: turning lukewarm leads into hot leads through polite persistence.
One limitation is that Conversica generally sticks to email/text channels and relatively straightforward dialogues. It won’t handle complex objections or jump on a phone call. It’s also usually one “persona” reaching out, rather than coordinating multi-channel touches. Therefore, some companies use Conversica alongside their human SDRs or other tools – for example, let Conversica work all the marketing leads for 3 weeks, then have reps call the ones who engaged. Or conversely, have reps focus on outbound, while Conversica maximizes inbound conversion.
In sum, Conversica provides an autonomous lead engagement agent that augments your sales team. It shines in ensuring timely, consistent follow-up – something human reps often struggle with at scale. By doing the initial qualifying and scheduling, it frees humans to focus on closing. Many users describe Conversica as “like an assistant that never sleeps, never forgets, and never gets discouraged.” As businesses increasingly adopt AI, tools like Conversica demonstrate huge efficiency gains in the lead management process. It’s not a full-cycle closer, but it’s extremely valuable for front-end pipeline build.
Clari is a prominent revenue operations platform that uses AI to improve forecasting accuracy, pipeline inspection, and deal execution. While not an outbound tool, Clari plays a critical role later in the GTM cycle: once leads are in the pipeline, Clari helps sales teams close them. It aggregates data from CRM, emails, calendars, and more to give a real-time view of all deals and to predict which deals will close and which are at risk. Think of Clari as an AI “chief revenue officer” that constantly analyzes your funnel health and guides the team on where to focus. With its acquisition of Groove in 2023, Clari even added some sales engagement capabilities, but its primary focus remains on forecasting and pipeline analytics rather than generating new leads.
Key Features: Automated data capture, forecast AI, and deal risk alerts. Clari connects to systems like Salesforce and email/calendars to automatically capture activity data (meetings held, emails sent, stage changes, etc.), eliminating the need for reps to manually update CRM. Its AI then analyzes patterns to predict sales outcomes – for example, projecting end-of-quarter revenue, or flagging that a deal with no activity in 14 days is unlikely to close on time. Clari’s forecasting module allows sales leaders to roll up predictions from rep -> manager -> VP, with AI insights highlighting gaps or upside. Another feature is “Moments” or deal alerts: Clari will notify reps and managers about risk factors (e.g. stakeholder went silent) or suggest actions (like adding an executive sponsor to a big deal). In essence, Clari provides visibility and intelligence on everything in the pipeline. Teams use it in forecast calls, QBRs, and daily deal reviews to ensure nothing slips through. Post-sale, Clari can track renewals and expansion opportunities too.
Significant ROI and forecast accuracy improvements. A commissioned Forrester Total Economic Impact study in 2025 found that enterprises using Clari achieved 398% ROI over three years with payback in <6 months(6). That was driven by faster revenue growth and productivity gains – Clari helped these companies increase win rates and reduce “slipped deals” substantially. One specific metric: organizations improved their forecast accuracy by over 15%, meaning far fewer surprises at quarter-end(6). Clari also often cites that customers see up to 20% more revenue from the same pipeline after implementing its platform, because they identify risk early and coach reps to fix issues (e.g. lack of multi-threading in an opportunity). Additionally, by automating CRM updates, Clari saves each rep many hours per week – which can be reinvested in selling. In one case, Five9 (a Clari customer) saved their sellers 1,000+ hours of manual data entry per year by using Clari’s activity capture (via People.ai)(7).
For GTM teams, Clari is essentially an AI-driven command center once your pipeline is active. It complements the lead-gen and outreach tools by ensuring the hard-earned opportunities are properly managed to closure. While an AI SDR tool might get you a meeting, Clari helps make sure that meeting turns into a win. It’s particularly valuable for larger sales teams where leadership needs an accurate pulse on dozens or hundreds of deals. Clari provides that “single pane of glass” with predictive insights, replacing the old-school way of relying on gut feel and spreadsheets for forecasts.
Clari’s expansion into adjacent areas (like enabling outreach via Groove’s integration, or offering a capability called Copilot for conversation intelligence/coaching) indicates it’s moving toward being a full revenue platform. But it still doesn’t autonomously prospect or do marketing campaigns. Instead, it might tell you which product line is trending up or which region is behind so that marketing can adjust or sales can prospect more in a certain territory.
In summary, Clari is the AI-powered brains of the sales operation – it gives clarity (living up to its name) on where to focus to hit revenue targets. By surfacing insights and automating grunt work, it makes revenue teams more efficient and effective. Companies that adopt Clari often talk about gaining confidence in their forecasts and identifying bottlenecks earlier. It’s a different kind of AI application than the others on this list, but an essential one for maximizing the value of your go-to-market efforts. You might use Clari after deploying Landbase or Outreach, to ensure the pipeline they generate actually closes. In the GTM tech ecosystem, Clari is synonymous with forecast accuracy and rigor – something every data-driven sales organization strives for.
People.ai is a revenue intelligence platform that uses AI to automatically capture sales activity data and generate insights to improve sales team productivity. Like Clari, it doesn’t send emails or find leads; instead, it plugs into your email, calendar, phone systems, etc., and logs every touchpoint with customers to CRM. It then analyzes this trove of activity data to spot patterns: which behaviors correlate with won deals? Are we engaging the right buyer personas? How many meetings does it take on average to close? By answering these questions, People.ai helps sales leaders coach their teams more effectively and helps reps focus on the best opportunities. In short, People.ai ensures you have complete, clean data on sales interactions and leverages AI to turn that data into actionable guidance.
Key Features: Automated activity capture, contact enrichment, and AI coaching insights. People.ai connects to Office 365/Gmail, VoIP systems, Zoom, etc., and automatically logs emails sent, meetings held, call duration, and more against the correct contacts and accounts in CRM (no more reps forgetting to log calls). It also uses AI to identify new contacts involved in deals and adds them to CRM (so your database of stakeholders stays updated). With all this data, People.ai creates analytics dashboards and AI models that benchmark rep activities. For example, it can show that top performers have 3 meetings with VP-level executives by midpoint of a deal, whereas low performers don’t – highlighting a coaching opportunity to push multi-threading. It can score deals based on engagement (lots of prospect response = healthy deal, no interaction = red flag). It even nudges reps with “AI insights” like suggesting they loop in a sales engineer if a technical question was mentioned in an email. Essentially, People.ai acts like an AI sales manager observing what’s happening and providing feedback.
Huge time savings and data completeness. One customer case study (Five9) saved its sellers over 1,000 hours of manual data entry per year by auto-capturing activities with People.ai(7). Another (Forcepoint) similarly reported “thousands of hours” saved and a dramatic improvement in CRM data hygiene(7). This freed-up time is significant – if each rep gets back ~5-10% of their week, they can spend that on selling, which directly impacts revenue. On the insight side, People.ai often highlights that companies see 5-10% higher win rates after using its recommendations to better align sales behaviors with best practices (for example, ensuring every late-stage deal has an executive sponsor, which People.ai can track). While exact ROI is harder to generalize, Forrester’s study on People.ai indicated a potential $8 million increase in revenue over 3 years for a typical customer, from efficiency and effectiveness gains. It also reduces CRM maintenance costs since data entry accuracy goes way up to ~95%+.
For GTM teams, People.ai is especially valuable in large enterprise sales forces or any environment where sales cycles are long and involve multiple touches. It essentially gives sales and ops leaders a microscope to examine deal progression in real time. By having every email and meeting captured, you can run analytics like “average touches per won deal vs lost deal” or “engagement by persona.” These insights help tweak your sales playbooks and identify training needs. People.ai is complementary to both outreach tools and forecasting tools – in fact it can feed Clari with data or ingest from Outreach. It doesn’t generate pipeline, but it helps maximize pipeline conversion by informing strategy.
One way to think of it: if Clari is the “what’s the health of our deals” platform, People.ai is the “what are our reps actually doing” platform. Together they give a full picture. Many companies use both.
In summary, People.ai brings AI and automation to the sales workflow and coaching realm. It cuts out the drudgery of CRM updates and produces intelligence out of raw activity data. Sales reps benefit by not having to do tedious logging, and managers benefit by getting visibility into team behavior and deal status without chasing reps for updates. In an AI-driven GTM stack, People.ai addresses the human element: making your salespeople more effective by learning from data. With sales teams that have adopted it, you often hear them say, “We finally have hard data on what our best reps do, and we can replicate it.” That kind of knowledge is gold for revenue leaders.
Regie.ai is an AI writing assistant tailored for sales and marketing outreach. It addresses one of the most time-consuming parts of the GTM process: crafting personalized, high-quality messages for prospects. Regie’s platform can generate email sequences, social media messages, ad copy, and more, all tuned for the voice of your brand and the pain points of your buyer. Essentially, it’s like giving your SDRs and marketers a copywriting team on demand. While Regie.ai doesn’t send the emails or pick the targets (it often works alongside engagement tools), it dramatically speeds up content creation and ensures messaging is optimized by data. For teams doing outbound at scale, Regie.ai helps maintain personalization and creativity without burning countless hours.
Key Features: AI-powered content engine with playbooks and personalization. Regie.ai comes with templates and playbooks for different scenarios (cold outbound for SaaS, follow-up emails for e-commerce, etc.). A user can input some context – e.g. target industry, product value props, reference to a recent event – and Regie will produce a sequence of emails or LinkedIn messages tailored to that. It uses large language models (like GPT-4) fine-tuned on high-performing sales content to output messages that sound human and relevant. Features like Snippet Libraries allow you to store commonly used phrases or customer stories and have the AI weave them in. Regie also has a Chrome extension that can draft one-off emails directly in Gmail or LinkedIn, reading the prospect’s profile for context. Additionally, it analyzes copy for things like reading level, spam triggers, and length, giving suggestions to improve performance. In short, Regie acts as an AI copywriter + editor that ensures your team’s messaging is both personalized and proven.
Massive time savings in writing and better engagement rates. It’s reported that sales reps spend about 21% of their time writing emails(8) – a huge chunk of the week. Regie.ai’s customers often cut that down significantly; for example, one user noted their reps went from spending 2 hours a day drafting outreach to under 30 minutes by using Regie’s suggestions, effectively saving ~1.5 hours per rep per day. That adds up to over 7.5 hours a week saved (almost a full workday) which can be reallocated to calling or research. On the effectiveness side, Regie highlights best practices that yield results – for instance, personalized emails written with AI assistance saw 32% higher reply rates in A/B tests compared to generic templates. And including certain personalization tokens (like referencing the prospect’s company or role) can increase open rates by up to 50%(8). These stats emphasize that how you say something in outbound matters – and AI can help say it better.
GTM teams often use Regie.ai to maintain quality as they scale quantity. If you need to send 1,000 outbound emails this month, writing each from scratch is impossible; but blasting generic spam won’t work either. Regie solves that by generating semi-customized messages at scale. It’s also useful for marketers for things like writing blog outlines, ad copy variations, etc., ensuring brand consistency across channels.
Regie.ai is usually paired with an execution platform. For example, you might generate a 6-step email sequence in Regie, then import it into Outreach or Salesloft to send. Or use Regie’s Chrome extension to respond to a prospect’s email with a well-crafted answer. It doesn’t do the sending on its own (as of now), which is why it’s considered more of a point solution. However, it plugs into workflows nicely – many engagement tools have direct integrations with Regie.
In comparison to an agentic AI like Landbase, Regie addresses a narrower slice of the puzzle: content creation. Landbase actually has its own generative capabilities (trained on millions of emails, as mentioned), so a Landbase user wouldn’t necessarily need Regie. But a team that isn’t ready for full automation might use Regie to enhance their human-led campaigns.
In summary, Regie.ai is an AI copywriting and sequencing assistant that helps GTM teams scale personalized outreach. It ensures no rep is stuck staring at a blank page or reusing the same tired template. By analyzing huge datasets of what works (e.g. optimal email word count, effective subject line phrases), Regie bakes data-driven best practices into every message it generates. The result: better engagement from prospects and a lot of time saved for your team. Especially for startups or scale-ups that need to ramp up outbound quickly with limited content resources, Regie is a game-changer. It’s like having a content strategist, copywriter, and editor all in one AI tool.
Drift is the leading conversational marketing platform, known for its AI chatbots that engage website visitors and convert them into leads or meetings. While most tools we discussed focus on outbound (you reaching out to prospects), Drift excels at inbound (prospects coming to you). It provides chatbots that sit on your website and can instantly start conversations with visitors – answering questions, qualifying them, and even booking sales meetings on the fly. This turns your website into an interactive, round-the-clock salesperson. For GTM teams, Drift offers an AI agent that ensures you capitalize on your web traffic and never miss an opportunity to engage an interested buyer in real time.
Key Features: AI chatbots, live chat integration, and meeting scheduling. Drift’s core offering is its AI chatbot which you can customize with playbooks. For example, if a visitor is browsing your pricing page, the bot might pop up: “Hi there! Do you have any questions about our pricing or want to chat with sales?” Using AI/NLP, the bot can understand common queries (product features, pricing tiers, etc.) and respond with relevant info. It also asks qualification questions (like company size, use case) to assess lead quality. If the visitor seems like a good fit or wants a demo, the bot will seamlessly schedule a meeting with a human rep by looking at calendars – all within the chat. Drift also supports a hybrid mode where if the bot gets stumped or if a high-value visitor is on the site, it can route to a live human rep to take over the conversation via live chat. Another feature is Drift’s email follow-up: the bot can email visitors who chatted but didn’t book, continuing the conversation asynchronously. Additionally, Drift offers integration with CRM and marketing automation, so chat data flows into your records.
Significant lift in website lead conversion. Drift often cites that companies using its conversational AI see 50% or more of website visitors engage with the chatbot, and a substantial increase in pipeline from web traffic. One stat from Dashly (a conversational marketing blog) noted 55% of companies that use chatbots report higher quality leads coming through(9). Another Drift case study showed a 70% increase in conversion to sign-up on a landing page after adding a chatbot, versus the old static form(9). And according to Salesforce, B2B businesses using conversational chat experienced on average a 36% increase in sales opportunities generated from their sites. These figures highlight that an AI chat agent like Drift can dramatically boost the ROI of your marketing website – turning passive browsing into active engagement.
For GTM teams, Drift’s value is clear: it captures demand that you’ve already worked hard to generate. If your marketing drives someone to your site at 9pm on a Friday, a human sales rep isn’t there to greet them – but Drift is. By answering questions instantly and offering help, it prevents hot prospects from bouncing or losing interest. It essentially accelerates inbound sales cycles by engaging buyers at their peak interest. Moreover, it qualifies them so your human reps know who’s worth spending time on. Many sales teams have woken up to meetings on their calendar that Drift booked overnight from website visitors – a great feeling!
Drift doesn’t replace outbound or other GTM motions, but it complements them. You might use Landbase to send cold emails to target accounts and drive them to a landing page; once there, Drift can take over to converse and convert. For companies with decent web traffic, not having a tool like Drift is leaving money on the table. Even for ABM (account-based marketing), Drift allows personalized chats for target accounts (like greeting them by name or showing custom messages when they visit).
Drift’s competitors in conversational AI include Intercom (for support + some sales) and Qualified.com (focused on B2B chat for Salesforce users). But Drift has been a leader in pushing AI – their recent “Conversational AI” updates use GPT-based models to let the bot handle more open-ended questions without human scripts. This makes it feel even more natural and helpful.
In summary, Drift provides an AI chat agent for your website that ensures you engage every visitor in a personalized way and capture more leads automatically. It’s often described as creating a 24/7 virtual SDR team that sits on your site. For GTM leaders, it means higher conversion rates from existing demand, and a better buying experience (no forms and waiting – prospects get instant answers). As buying preferences shift towards self-service and immediate gratification, Drift’s conversational AI meets customers where they are. It’s a key part of a modern, AI-enabled go-to-market strategy, balancing the proactive outbound efforts with a strong inbound conversion engine.
The landscape of sales and marketing is evolving at breakneck speed. Businesses that fail to adapt risk being left behind. Traditional go-to-market strategies are increasingly constrained by manual processes, fragmented point solutions, and the limits of human bandwidth. Building pipeline through purely human effort can be slow and inefficient – SDR teams can only make so many calls, marketing ops can only integrate so many tools. Meanwhile, buyers now expect immediacy, personalization, and consistent outreach across channels. This is where agentic AI is changing the game for GTM teams.
Autonomous AI agents – like the ones we’ve profiled (Landbase, Apollo, etc.) – can plan, execute, and optimize omni-channel campaigns with minimal human intervention. Instead of relying on disconnected systems and repetitive human tasks, AI agents operate as an extension of your team. They analyze vast datasets to find who is most likely to be interested, craft tailored messages for each prospect, orchestrate outreach across email, social, and more, and continuously learn from every interaction to improve results. The impact is transformative: companies leveraging these AI agents report 4–7x higher conversion rates on their outbound efforts and up to 70% lower customer acquisition costs, all while launching campaigns in minutes instead of months.
Landbase is at the forefront of this transformation with GTM-1 Omni, the world’s first agentic AI action model built specifically for go-to-market execution. Unlike basic automation or generic AI add-ons, GTM-1 Omni doesn’t just assist with isolated tasks – it autonomously drives the entire GTM process. From prospect discovery and data enrichment, to multi-channel outreach and real-time optimization, to seamless handoff of qualified leads to sales, Landbase’s AI handles it end-to-end. It’s trained on an unprecedented dataset of 220M+ contacts, 24M companies, and 10M+ intent signals, ensuring every touchpoint is hyper-personalized and contextually relevant. Users have seen it not only boost response rates dramatically, but also maintain human-like quality in messaging – a critical factor in engaging today’s savvy buyers.
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