9 Best AI Agents for GTM Teams on the Market Right Now

GTM teams are facing brutal pressure right now. 

Boards want more pipeline with smaller budgets, sales cycles drag longer while quotas climb higher, and your data sits trapped across Salesforce, HubSpot, and a dozen other tools that refuse to sync properly.

AI was meant to be the fix. At least, that’s how it was sold. But most of these platforms turned out to be ChatGPT wrappers slapped onto old software.

Your pipeline hasn't moved, attribution is still broken, and your team still spends most of their day on manual tasks — except now they can generate slightly better email subject lines.

AI agents take a completely different approach to the problem because they handle complete workflows autonomously without your team having to babysit every step. 

Not all AI agents are created equal, though. Many are just rebranded automation tools that require constant hand-holding and fall apart the moment something unexpected happens.

We spent 30+ hours researching dozens of platforms to separate the real autonomous agents from the impostors, and here's who made the cut.

What are AI agents?

AI agents are autonomous software programs that handle complete business workflows from start to finish without human supervision at every step.

While traditional automation tools follow rigid if-then rules, AI agents understand context, work through unexpected situations, and improve as they process more data.

The core capabilities of a true AI agent include:

• Autonomous execution: They run 24/7, make data-driven decisions, and take actions based on real-time intel. No waiting for you to click buttons or approve each step.
• Cross-system orchestration: They connect and coordinate initiatives across your entire stack simultaneously. When they spot a hot lead, they update your CRM, trigger email sequences, alert the right rep, and streamline your ad targeting all at once.
• Contextual decision-making: They analyze situations in real-time and choose appropriate actions based on multiple data points, not just rigid if-then rules.
• Adaptive learning: They learn from what strategies work and what don't. If a certain email approach tanks with enterprise prospects but works with startups, they adjust their strategy automatically.

Funnily enough, the market's flooded right now with tools that claim to have "AI agents", when they're really just ChatGPT with a Salesforce integration. Here's the difference:

• AI assistants/copilots help you do work faster (generate emails, analyze data, answer questions) → AI agents execute complete workflows in your systems
• Workflow automation tools follow pre-built recipes you create → AI agents build and modify their own workflows based on what's working in real-time
• AI SDRs are AI agents for one specific role (outbound sales) → AI agents orchestrate activities across marketing, sales, and customer success

 📝Example: An AI agent notices that three decision-makers from a target account just visited your pricing page. It immediately pulls data on the company's tech stack, finds a recent funding announcement, notices that they're using a competitor that just had a service outage, and spots that your champion from a previous company just joined their team.

The agent then drafts a personalized email referencing the champion's success at their previous company, mentions how you solve the exact pain point their current tool's outage caused, and sends it from the rep who handles that industry. When they respond, it handles the back-and-forth to book a meeting, briefs the rep with everything they need to know, and updates your CRM with all the context.

What Are the Benefits of Using AI Agents in GTM?

Here's what happens when you deploy real AI agents across your GTM engine:

• Create a centralized data view across fragmented tech stacks: The average enterprise GTM team manages data across 23 different sources, which leads to blind spots and conflicting reports. AI agents sync data across all platforms in real-time, so everyone has access to the same complete customer view.
• Align revenue teams: AI agents ensure seamless handoffs between teams, shared data, and coordinated messaging across the entire buyer journey. Companies with strong sales and marketing alignment see 208% more revenue.
• Get rid of non-selling busy work that kills productivity: Sales reps waste 66% of their time on administrative tasks instead of selling, according to Salesforce research. AI agents handle data entry, research, follow-ups, and CRM updates automatically, freeing your reps to focus on closing deals.
• Deliver personalized experiences that drive revenue growth: McKinsey research shows that companies using personalization see 40% more revenue from their marketing activities. AI agents can personalize every touchpoint based on real-time behavior, company news, and buying signals at scale.

The GTM Playbook is Dead: How AI Built a New Standard

Remember when your GTM strategy was based on a 47-slide deck that took three months to build?

You'd spend weeks in conference rooms debating buyer personas, mapping out sequences, and creating playbooks based on last quarter's performance. 

Once approved, that strategy was gospel until the next planning cycle (even when it stopped working halfway through Q2).

Those days are behind us. The traditional GTM playbook assumed your market would stay predictable, your buyers would follow linear paths, and your team could manually execute everything on schedule.

But modern buyers do 70% of their research before talking to sales, market conditions change weekly, and manual execution simply can't keep pace with the complexity.

AI agents rewrote the rules because they don't need sleep, training, or templates. They research prospects in real-time, write unique messages based on today's news about the company, and handle objections without waiting for sales engineering.

Here's exactly what AI agents bring to modern GTM teams that traditional tools and processes never could:

Unify Disconnected Data Into a Single Source of Truth

The average GTM team has customer data spread across HubSpot, Salesforce, Gong, and a dozen other tools that don't sync properly. 

The data fragmentation problem is all too familiar for most teams, as this experience shows:

“It can definitely start sneaking up on you—one minute you’re all excited about a new tool, and the next you realize you’ve got a whole tech stack where half the tools overlap or sit unused. We had a similar situation at my company, where some tools were great initially but weren’t being used to their full potential anymore.”

You know that LinkedIn ad from last month influenced the deal, but good luck proving it when your attribution model can't connect those dots. Each team tracks its own metrics, and nobody has the full picture.

How AI agents solve this → They create one complete view of every prospect and customer. AI agents sync data across all your tools automatically, clean up duplicate records, and build full customer profiles that span from first website visit to closed deal. When a prospect downloads your ebook, the agent updates their profile everywhere at once. 

💡PRO TIP: HockeyStack's unified data platform connects 100+ integrations out of the box and creates a single customer timeline that every team can access. Your entire team works from the same real-time data with automatic syncing across every tool in your stack.

Autonomous Lead Qualification and Routing

Manual lead qualification wastes massive amounts of time and creates inconsistent experiences for prospects. Some B2B sales reps spend up to 28% of their time on lead research. 

SDRs spend hours researching companies, determining fit, and deciding who should handle each lead. Hot prospects wait days for follow-up while unqualified leads eat up valuable selling time.

How AI agents solve this → They qualify leads instantly with dozens of data points that human teams can't handle at scale. AI agents check company size, tech stack, recent funding, hiring patterns, and buyer behavior to determine fit and intent. Qualified leads go to the right rep within minutes with research briefs and talking points ready. Unqualified leads enter nurture sequences automatically.

Learn more → What is Warm Outbound? 

Predictive Intelligence That Guides Strategy

Traditional marketing analytics tells you what happened last quarter. By the time you adjust your strategy based on those insights, the market has already moved on. You're always playing catch-up with old data.

How AI agents solve this → They analyze patterns across 1,000+ data points to predict what's coming. They spot which accounts will likely expand before they ask for a quote, flag deals that might slip based on engagement drops, and outline underperforming campaigns before you waste the full budget. 

💡PRO TIP: HockeyStack's Odin AI acts like your personal revenue analyst, instantly answering questions like "which campaigns will hit our Q4 targets" or "which deals are at risk this month." You get predictive insights in plain English without waiting days for data analysis or hiring expensive consultants.

Orchestrate Cross-Functional Workflows Without Human Handoffs

Traditional GTM operations break down at the handoff points. Marketing generates a lead, manually passes it to sales development, who qualifies it and schedules a demo, then hands it to an account executive who needs to loop in customer success for technical questions. 

One marketing manager on Reddit recently described their handoff nightmare:

“We currently have no lead hand-off procedure to sales, and we don't have any access to their sales activities done in Salesloft, so we can't even really tell who they are reaching out to. We can't really get full attribution on how our contacts our converting. We're pretty much not getting any feedback on the quality leads we're sending over from sales at this time.”

How AI agents solve this → When a prospect downloads a whitepaper, the agent enriches their profile, scores them on fit and intent, routes qualified leads to the right sales rep, and executes personalized follow-up sequences. If the prospect books a demo, the agent briefs the AE with relevant context, prepares custom materials, and alerts customer success if technical expertise is needed. 

💡PRO TIP: HockeyStack's Nova AI coordinates actions across your entire tech stack when it detects high-intent behavior. A single buying signal automatically updates your CRM, notifies the right sales rep via Slack, adjusts ad targeting, and personalizes website content. And this is without manual coordination between teams.

Learn more → How to Actually Integrate AI into Your Existing GTM Workflows 

What to Look For: Key Features of a True GTM AI Agent

True AI agents are rare. Most tools marketed as "agents" still need constant human supervision and can't handle anything apart from basic tasks.

Look for these features to spot the real ones:

• Connects to your entire tech stack natively: True agents integrate directly with Salesforce, HubSpot, Slack, and your other tools through real APIs, not messy Zapier workarounds. They read and write data across all systems simultaneously, and maintain context as they work.   
• Maintains conversation memory across all touchpoints: Whether a prospect replies to an email, fills out a form, or mentions something in a demo, the agent remembers every interaction and uses that context in future communications. 
• Makes context-aware decisions in real-time: The agent understands when to escalate to a human, when to fast-track a hot lead, and when to nurture someone who's not ready. It reads situations and responds appropriately, not just following rigid if-then rules.
• Handles complex, multi-step workflows end-to-end: Not just sending an email or updating a field, but managing entire processes like qualifying a lead, researching the company, personalizing outreach, handling objections, and scheduling meetings — all as one continuous flow.
• Contextual communication across teams: Agents should brief team members with relevant context automatically. Sales reps get prospect research and engagement history, marketing sees which touchpoints influenced deals, and customer success receives early warnings about account health.
• Learns from outcomes and adapts strategies: The agent tracks what works and what doesn't, then adjusts its approach accordingly. When cold emails fail but LinkedIn messages convert, it changes tactics without waiting for you to notice and update the playbook.
• Advanced attribution and revenue tracking: They should track and attribute revenue across the entire customer journey to show which touchpoints contribute to closed deals. This includes anonymous website behavior, marketing interactions, and sales activities in one view.

Learn more → What is GTM AI?

Top 9 AI Agents for GTM Teams in 2025

We read through 100+ user reviews on G2, Reddit, and Capterra, and watched YouTube walkthroughs to understand how real teams use these tools day-to-day.

Most platforms we analyzed didn't live up to the hype. They either needed constant hand-holding, worked well in demos but broke with real data, or turned out to be basic automation tools with "AI" slapped on top.

Below are the ones that consistently handle complete GTM workflows without falling apart when things get messy:

1. HockeyStack

Best for: B2B revenue teams that want a complete GTM AI solution that handles everything from unifying data and attribution to workflow automation in a single platform.

HockeyStack is the only GTM AI platform that combines multi-touch attribution, revenue analytics, predictive insights, and workflow automation into one unified system that runs your entire revenue engine.

The platform uses two AI agents — Odin AI for analysis and Nova AI for execution. Odin gives you instant answers about what's working in your funnel, while Nova detects high-intent prospects and orchestrates personalized outreach across your entire tech stack.

What sets HockeyStack apart is that it's one of the few platforms that truly handles the complete GTM workflow. Most SaaS vendors do one thing well — maybe attribution, maybe automation. But you still need five other tools to run your full GTM motion.

HockeyStack built everything into one platform, so your data flows seamlessly from insight to action without any manual handoffs or integration headaches.

Key AI agent features

• Odin AI analyst for instant answers: Teams can ask revenue questions in plain English and get visual answers instantly. Odin analyzes your entire funnel, spots patterns, and tells you what to do next. You can skip the manual analysis and data analyst costs.
• Nova AI assistant for workflow automation: Nova automatically researches accounts, scores prospects based on buyer journey behavior, and builds intelligent workflows that handle sales tasks while learning from your best-performing reps and customers. 
• Unified data platform for all GTM tools: Connect Salesforce, HubSpot, LinkedIn Ads, and your entire martech stack into one source of truth. No more arguing about whose numbers are right because everyone works from the same real-time data with instant syncing across all platforms.
• Multi-touch attribution across all channels: Track how every touchpoint contributes to revenue with different attribution models. See the complete buyer journey from first ad click to closed deal, including offline events, and understand exactly which campaigns and content pieces drive pipeline.
• Predictive scoring and recommendations: The AI learns from your historical data to predict which accounts will convert, which deals might slip, and which campaigns to double down on. It proactively surfaces opportunities and risks before they impact your pipeline.

What do real users like about HockeyStack

“In the past, our team would span multiple tools to understand the insights and impact on the entire funnel. We are now able to see everything on one platform, both online and offline, and how they interact with our customers. HockeyStack has broken down silos and allowed the team to understand the full customer journey and the impacts on their functional areas.

HockeyStack’s Odin has been a game-changer for our team. As a team of one, Odin acts like an additional analyst for the team and can answer tactical day-to-day questions. Insights and recommended actions that would take days to generate are produced in minutes, allowing the greater flexibility to make adjustments quickly. This has opened up bandwidth to focus on strategic changes to our GTM strategy.”

- G2 Review, Cody R.

What real-world companies say about HockeyStack

Airbyte is a specialized data movement platform that helps enterprises centralize and sync data from hundreds of sources.

Their GTM team had been using a multi-touch attribution platform that promised comprehensive insights but constantly broke down. They couldn't track their complex buying journeys with multiple stakeholders. Marketing waited days for insights, and teams argued over conflicting numbers from different dashboards.

Since implementing HockeyStack, Airbyte has completely rebuilt its GTM operations:

• Self-serve AI insights without bottlenecks: Marketing teams now pull their own reports and analyze campaigns instantly with Odin, no longer waiting on data teams or RevOps for basic answers.
• Real-time campaign optimization: Weekly AI reviews inform immediate campaign pivots and budget changes, replacing the old monthly retrospectives that came too late to matter.
• Unified data across all teams: Sales, Marketing, and RevOps finally trust the same numbers because everyone works from one platform with consistent attribution.
• Performance-driven budgeting: Quarterly budget resets happen based on actual ROI data rather than historical assumptions.

Mario Moscatiello, Airbyte's Head of Growth, puts it simply:

"I think Odin is kind of like the analyst I wish I had on the team. I can just sit, have coffee, and really see at a 360-degree level what's working and what's not working. It's been a game-changer."

2. Salesforce Einstein

Best for: Enterprise teams already deep in the Salesforce ecosystem who want an AI agent without adding another vendor.

Salesforce Einstein is an AI layer built natively into the Salesforce platform that brings predictive and generative AI capabilities to sales, service, and marketing workflows.

It also includes Agentforce, so users can build and deploy autonomous AI agents that handle customer service, sales tasks, and business processes using existing Salesforce data and workflows.

Key AI agent features

• Sales process automation: Generate personalized emails, automate lead scoring, create sales proposals, and provide next-best-action recommendations based on CRM data and customer history.
• Agentforce service agents: You can deploy fully autonomous AI agents that handle customer service without pre-programmed scenarios. They analyze context and take action based on your business data.
• Conversation intelligence: The AI analyzes sales calls to identify successful talk tracks, common objections, and coaching opportunities. It shows you why top performers win more deals and helps replicate their approach across the team.

What do real users like about Salesforce Einstein

“The platform’s AI-powered features, like Salesforce Einstein, offer predictive analytics and personalized recommendations, helping salespeople anticipate customer needs and tailor their outreach accordingly.

Whether it’s managing accounts, collaborating with teams, or nurturing long-term customer relationships, Salesforce helps sales teams be more productive.”

- G2 Review, Anonymous User.

What do real users dislike about Salesforce Einstein

“Our team has struggled to enable Einstein features and use them productively. There are some tools available and some you just pay extra for, which is not always clearly laid out, especially with opportunity scoring and forecast features.”

- G2 Review, Lauren T.

Pricing

Einstein AI costs about $50 per user monthly for most clouds, while Agentforce for Service costs $125 per user monthly. 

Salesforce Unlimited Edition includes many Einstein features, but Enterprise Edition users must pay extra for them.

3. Breeze Intelligence (HubSpot)

Best for: HubSpot customers looking to automate repetitive GTM tasks, but want to keep everything unified within their existing CRM ecosystem.

Breeze Intelligence is HubSpot's AI-powered data enrichment and intelligence agent that automatically fills gaps in your CRM and outlines buying signals. 

It combines data enrichment, intent monitoring, and predictive scoring directly within HubSpot's familiar interface.

Key AI agent features

• AI-powered data enrichment: Breeze fills in missing contact and company data by pulling from over 200 million buyer profiles. It includes job titles, phone numbers, company size, and tech stack details without manual analysis or third-party tools.
• Customer service agent: Handles 50-70% of customer questions automatically by learning from your knowledge base, website content, and past conversations. It also escalates complex cases to human agents.
• Workflow recommendations: Breeze recommends which automation workflows to create based on your team's actual behavior patterns. It spots repetitive tasks your team does manually and automatically builds the workflows to handle them.

What do real users like about Breeze Intelligence

“The tool is still in its infancy. Data quality needs improvement, but there are a lot of functions that show promise. Form shortening is one area where, if Clearbit/Breeze finds a match to the form, then it instantly makes the form shorter. You also get access to buyer intent data.

Prospecting agent is also another opportunity to eliminate another 3rd party tool. This agent scans the contact and company information and then queues up personalized sequence-style emails.”

- Reddit Review

What do real users dislike about Breeze Intelligence

“The Breeze AI website visitor topic is great, but it still struggles sometimes with data in the European market, where it works best in the US market for now.”

- G2 Review, Frederick M.

Pricing

Breeze Intelligence is available as a credit-based add-on for any paid HubSpot subscription.

You get 500 credits with Starter, 3,000 with Professional, and 5,000 with Enterprise plans. Extra credits cost around $0.015 each, depending on volume.

4. Copy.ai

Best for: Small to mid-size GTM teams that need to automate content creation and personalized outreach at scale.

Copy.ai is an AI-powered GTM platform that helps teams automate their go-to-market work from finding prospects to creating content.

It uses AI agents and a no-code workflow builder to capture your company's best practices and remove repetitive tasks for sales, marketing, and customer success teams.

Key AI agent features

• No-code workflow builder: Create sophisticated AI workflows by describing tasks in plain English and chaining together actions like text generation, web scraping, and research agents without any coding.
• End-to-end GTM automation: Automate complete workflows from account research and lead qualification to personalized outreach and content creation, all within unified cross-functional processes.
• Pre-built GTM workflows: Access a library of best-practice workflows for sales prospecting, content generation, lead enrichment, and customer engagement that can be customized to your specific processes.

What do real users like about Copy.ai

“From a sales perspective, I'm able to orchestrate workflows to enrich data on prospects, accounts, and more, enabling us to personalize automated inbound emails.

We can also equip our SDRs with highly specific research that's relevant to our market, so they don't have to start from scratch when researching new accounts.”

- G2 Review, Brian Y.

What do real users dislike about Copy.ai

“You need to be very careful when using Copy.ai. It should be used as a guide for content creation. This is because some of its content might be pulled out from webpages that are already published, and this might be flagged as plagiarism.”

- G2 Review, Opeyemi O.

Pricing

Copy.ai offers both self-serve and enterprise options:

• Free plan with limited access (1 seat, 2,000 words in chat)
• Starter at $49/month (1 seat, unlimited chat)
• Advanced at $249/month (up to 5 seats, 2k workflow credits, 15+ workflows)
• Enterprise with custom pricing for unlimited workflows and API access

5. Jason AI SDR (Reply.io) 

Best for: Sales teams that want multichannel outreach automation across multiple channels with AI-powered personalization that can run 24/7 with minimal manual oversight.

Reply.io is an AI-powered sales engagement platform that combines multichannel outreach automation with Jason AI, an AI SDR agent that handles everything from prospect research to response management.

The platform includes access to over 1 billion B2B contacts and automates complete sales sequences across email, LinkedIn, SMS, and phone channels.

Key AI agent features

• Jason AI SDR agent: Fully autonomous AI agent that researches prospects, creates personalized outreach sequences, handles responses, and books meetings 24/7 using real-time data.
• Multichannel conditional sequences: AI creates coordinated campaigns across email, LinkedIn, SMS, and phone that adapt based on prospect actions, with personalized messages for each channel and touchpoint.
• AI-powered response handling: Jason AI analyzes and interprets prospect responses, categorizes them (interested, not interested, meeting booked), handles objections, and maintains conversations in a natural tone.

What do real users like about Reply.io

“Reply.io has transformed the way our team handles outreach. The multi-channel automation (email, LinkedIn, calls) is a massive productivity booster; we can create complex sequences that feel human and personalized at scale.

The interface is intuitive, the A/B testing tools are easy to use, and the analytics give clear insights into what’s working.”

- G2 Review, Michael G.

What do real users dislike about Reply.io

“It’s not the most beginner-friendly platform. It took me a bit of time to feel confident using all the features. I’d love to see more onboarding tips for users without prior experience in similar outreach tools.”

- G2 Review, Yulia S.

Pricing

Reply.io comes with three pricing plans:

• AI SDR Starter: $800/month for 1,000 active contacts with real-time B2B contacts and a LinkedIn account included
• AI SDR Growth: $2,500/month for 5,000 active contacts plus white-glove onboarding and Slack channel support
• AI SDR Enterprise: Custom pricing for 25,000+ contacts with custom playbooks and prompt engineering

6. Clari

Best for: Large enterprises with complex revenue operations that need unified forecasting, pipeline management, and deal intelligence across multiple teams and territories.

Clari combines AI agents with "Revenue Context" technology to create a comprehensive revenue orchestration platform for enterprise teams.

It unifies data from every revenue touchpoint to provide predictive deal insights, automated workflows, and forecasting accuracy for enterprise GTM leaders.

Key AI agent features

• Revenue context-powered AI agents: AI agents work with comprehensive revenue context from every signal, cadence, and workflow across the entire revenue lifecycle.
• Predictive revenue intelligence: AI tracks deal health in real-time, spots key themes like pricing and competition, and pulls insights from conversations and CRM data to accurately predict which deals will close.
• Automation across revenue functions: AI summarizes emails, generates follow-ups, suggests CRM updates, analyzes calls, and handles forecasting.

What do real users like about Clari

“The ability of Clari to provide real-time visibility into our sales pipeline and forecasting process is what I appreciate the most. Clari seamlessly integrates with our CRM and other marketing tools, which reduces manual data entry.

Clari's AI-driven insights also help us prioritize actions, thus ensuring sales reps and managers can focus on the right deals. About 100% of our sales team and about 75% of our entire staff use Clari.”

- G2 Review, Nyjil N.

What do real users dislike about Clari

“The UI is not very intuitive and feels clunky. The search function is really frustrating - I should be able to type in a company name and get all results, versus clicking on a few options that limit results. It’s not easy to find calls or conversations.

It should be easier to customize views to capture information that's important to the sales rep without needing admin approval.”

- G2 Review, Anonymous User.

Pricing

Custom pricing based on your needs and company size. Larger teams get full setup support and dedicated success managers to help roll out the platform across their revenue teams.

7. Beam AI

Best for: Operations teams at mid-market to enterprise companies who need custom workflow automation that traditional AI tools can't handle.

Beam AI is an agentic process automation platform that lets you build and deploy custom AI agents for complex business workflows. The platform lets you build custom solutions using visual tools and multi-agent architecture.

Key AI agent features

• Visual agent builder: Create complex AI workflows with drag-and-drop blocks instead of code. You can build agents that scrape websites, analyze documents, generate content, and update your CRM.
• Multi-agent coordination: Deploy teams of specialized agents that work together on complex tasks. One agent might research prospects, another writes personalized emails, and a third handles responses.
• Enterprise-grade integrations: Connect to existing systems like Salesforce, ServiceNow, Asana, and dozens of other platforms. Agents can pull data from any source, process it, and push updates back to your tech stack seamlessly.

What do real users say about Beam AI

Since Beam AI is a relatively new product, user reviews are not currently available on platforms like G2, Capterra, or Reddit. 

The platform appears to focus on enterprise-grade automation capabilities and Fortune 500 clients, which may involve private enterprise deals that typically generate less public feedback.

Pricing

Custom enterprise pricing based on your automation needs and company size. Contact Beam AI for demos and pricing specific to your use cases.

8. OneShot

Best for: Sales teams at B2B companies who want an all-in-one AI solution that automates their entire outbound process from prospect research to meeting booking.

OneShot is a sales enablement platform that uses specialized AI agents to execute complete go-to-market strategies and outbound campaigns.

Users input GTM goals like "book meetings" or "generate leads," and the platform creates a step-by-step plan using multiple AI agents that handle research, personalization, and campaign execution from start to finish.

Key AI agent features

• AI SDR for prospect research: Automated prospect research and personalized outreach at scale, with AI agents that scan the web to get prospect data and summarize details like job titles, company news, and buying signals.
• Integration agent for CRM sync: Connects directly with sales tools like HubSpot, Apollo, and Outreach to retrieve prospect details, avoid duplicate work, and automatically log activity back into your CRM.
• Autonomous multichannel outreach: OneShot also handles prospecting across email, LinkedIn, and cold calling simultaneously.

What do real users like about OneShot

“OneShot.ai has been a game-changer for my outreach strategy. The AI-driven recommendations are incredibly accurate, helping me craft personalized messages quickly without sacrificing high-quality.

It’s like having an assistant that’s always optimizing my workflow, allowing me to focus more on closing deals rather than getting bogged down in prospecting. Since using it, I've seen a significant increase in meeting bookings and pipeline growth.”

- G2 Review, Anonymous User.

What do real users dislike about OneShot

“I think the back and forth with the AI Prompt Engineer can make the onboarding a little difficult. There are small details a salesperson knows about their product/service that can't be explained or detailed in a 30-60-minute call. It would be cool if the user had access to make the minor changes day to day.”

- G2 Review, Anonymous User.

Pricing

One Shot offers three tiers:

• AI Sidekick (entry-level custom pricing, with 300-1,000 message generations per month)
• Scaled Research & Messaging (custom pricing with 2,000 message generations per month)
• Fully Autonomous Prospecting 24/7 at $1,995 per month (2,000 fully autonomous leads per month with zero manual effort required)

All plans include CRM integrations and varying levels of AI automation features.

9. Regie AI

Best for: Enterprise teams that want to replace multiple prospecting tools with a single platform that orchestrates both AI agents and human sales reps.

Regie.ai is an AI-native sales engagement platform that orchestrates both AI agents and human reps in a unified prospecting workflow.

The platform removes the need for multiple tools because it combines sales engagement, parallel dialing, data enrichment, and intent data into a single system.

Key AI Agent features

• Unified agent-rep orchestration: AI agents work with human reps in the same workflow. They handle repetitive tasks like lead sourcing and email writing, then create high-value tasks for reps.
• Signal selling with 100+ intent triggers: Agents monitor over 100 built-in signals from sources like LinkedIn, G2, Crunchbase, company news, and CRM records to outline high-intent prospects.
• Multi-channel campaign execution: The platform coordinates outreach across email, phone, and social media channels with built-in parallel dialing capabilities.

What do real users like about Regie AI

“Regie keeps the consistent communication with sales prospects going in the background so you can focus on making the calls. AND, Regie's use of AI offers perfect, relevant messaging tailored to your branding that keeps communications seamless and personalized.

It's a game-changer and a must-have for your sales prospecting. If you're not using Regie.ai, you're doing it wrong!”

- G2 Review, Jenn D.

What do real users dislike about Regie AI

“Since it is in its early stages, it is very difficult to get help from support. I was tasked with looking into some new outbound prospecting tools for my company, and I was hoping to get some questions answered by support before deciding what plan to purchase, and was not able to get a hold of anyone.

There is only one "demo" that they advertise as live but is actually just recorded. There are very few "help" resources on their website, so it's hard to self-learn the tool and how to best utilize all of the features.”

- G2 Review, Scott S.

Pricing

Two main packages starting at $35K annually:

• AI Agents (contact acquisition, signal-based lead prioritization, multi-channel outreach, and integration with existing sales platforms)
• AI Agents + AI Dialer (adds parallel dialing, AI phone scripts, live listen, and real-time call transcription)

HockeyStack: Where GTM Instinct Becomes a Science

Your best reps have something special — that unexplainable sense for which deals will close, which accounts to pursue, which messages will land. 

Your top marketer knows exactly when to double down on a campaign or pull back spend. They can't always explain it, but they're right more often than not.

The problem is, you can't clone these people. And the rest of your team is buried in spreadsheets and chasing accounts based on outdated lead scores, while your top performers work magic they can't teach.

Most companies try to solve this by buying more tools. Another dashboard, another AI assistant, or another automation platform. But adding more tools to an already broken system doesn't create clarity. It creates chaos.

HockeyStack takes a different approach. We studied what makes your best people successful — the patterns they recognize, the signals they act on, the decisions they make. Then we built a platform that captures this intuition and makes it available to everyone.

• Your entire team knows which accounts to target based on signals from every past win and loss
• Marketing sees exactly which channels drive pipeline for your specific product and buyer
• Sales gets pre-qualified accounts with personalized next steps that move deals forward
• RevOps delivers trusted reports that everyone believes because the data comes from one unified source
• AI agents handle the repetitive work while your team focuses on strategic decisions that matter most

Your best GTM people have developed an intuitive sense for what works. HockeyStack captures that intuition, learns from it, and scales it across every rep, every campaign, and every decision.

Stop juggling ChatGPT wrappers that barely work. Try our interactive demo and see what real AI agents can do for your GTM motion.

FAQs

What is “agent washing” and how to spot impostors?

Agent washing is when companies rebrand their existing automation tools or AI assistants as "AI agents" without actually building autonomous capabilities.

Most tools marketed as AI agents today still require constant human supervision and can't handle unexpected situations or complete workflows independently.

You can ask these questions to spot real AI agents from impostors:

• Can it handle responses and objections without human intervention? Real AI agents analyze prospect replies, categorize intent, handle common objections, and continue conversations naturally. Fake agents just send sequences and need humans to manage all responses.
• Does it make decisions based on context, not just triggers? True agents evaluate multiple signals (company news, buying behavior, engagement patterns) to determine next actions. Basic automation just follows if-then rules regardless of context.
• Can it work across your entire tech stack autonomously? Real agents read data from multiple sources, make decisions, and take actions across different platforms in one workflow. Impostors typically work within a single tool or require manual data transfer between systems.
• Does it learn and adapt its approach over time? Genuine AI agents track what works, outline patterns in successful outcomes, and automatically adjust their strategies. Fake agents repeat the same approach indefinitely unless you manually change their settings.

If you turned it on and went on vacation for a week, would it keep running your GTM operations and potentially perform better than when you left? If not, it's not really an AI agent.

How long does it take to implement AI agents?

Most AI agent platforms get you up and running in days, not months. You connect your existing tools — CRM, email, ads — in about 1-3 days, and the AI starts working immediately.

It learns from your historical data to spot quick wins while building toward full deployment. Within 2-4 weeks, agents are running complex workflows across your entire GTM stack.

Do I need technical expertise to use AI agents?

No, most modern AI agent platforms are built for business users, not developers. The best platforms offer visual workflow builders, pre-built templates, and plain-English configuration that marketing and sales teams can manage without IT support.

What are the risks of using AI agents?

AI agents solve a lot of problems, but they can also create new ones if you're not careful.

• Over-automation can damage relationships: If agents handle too much buyer interaction without human touchpoints, you risk making your brand feel robotic.
• Bad data leads to bad decisions at scale: AI agents move fast, so if they're learning from incomplete or incorrect data, they'll make wrong decisions quickly across your entire pipeline.
• Vendor lock-in and switching costs: Once an AI agent is deeply embedded in your workflows and has learned your specific patterns, switching platforms becomes complex and expensive.
• Compliance and privacy concerns: AI agents process massive amounts of customer data and may inadvertently violate GDPR, CCPA, or industry regulations if not properly configured. You need clear governance rules.

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