Most sales platforms claim to use AI, but they're running the same generic models across thousands of companies—which means they understand sales in general but not how your specific business wins deals. Actively AI trains custom models exclusively on your data, deploying dedicated agents that run continuously across every account in your total addressable market to surface the precise actions that advance your deals.

This guide compares Actively AI's GTM superintelligence approach against leading competitors like Gong, Clari, Outreach, Salesforce AgentForce, People.ai, and Nooks, examining where each platform excels and where gaps emerge for enterprise revenue teams.

Actively AI vs Leading Revenue Platforms

Actively AI competes in the AI-powered sales intelligence space alongside platforms like Gong, Clari, Outreach, Salesforce AgentForce, People.ai, and Nooks. The key difference is that most competitors use generic AI models trained on data from thousands of companies, while Actively AI trains custom models exclusively on your business data—your CRM history, your closed deals, your specific GTM motion. Where Gong analyzes past conversations and Clari predicts future revenue, Actively AI deploys dedicated agents that run continuously across every account in your total addressable market, building strategies and surfacing next steps to advance deals right now.

Gong

Gong records and analyzes sales calls to surface patterns across hundreds of conversations. The platform identifies winning behaviors, tracks deal momentum, and provides coaching insights based on what top performers say and do. However, Gong operates retrospectively—it tells you what happened on calls that already occurred rather than guiding you on which accounts to prioritize tomorrow or what expansion opportunities exist before they surface in conversations.

Clari

Clari built its reputation on revenue forecasting accuracy, using historical patterns to predict which deals will close and which are at risk. Revenue leaders rely on Clari for board-ready forecasts and pipeline visibility across the organization. The limitation is that Clari focuses on prediction rather than execution—it forecasts outcomes but doesn't orchestrate the daily account activities that actually drive those outcomes.

Outreach

Outreach automates sales engagement through sequences and cadences that ensure consistent touchpoints across email, phone, and social channels. The platform excels at scaling outbound motions and tracking engagement metrics. Where Outreach falls short is intelligence—it automates the mechanics of outreach but doesn't reason about account context, buying signals, or whether a specific touchpoint makes sense for a given account at a given time.

Salesforce AgentForce

AgentForce offers native AI agents within the Salesforce ecosystem, automating CRM tasks and scoring opportunities based on historical patterns. The built-in integration makes AgentForce attractive for existing Salesforce customers. However, AgentForce relies on generic AI models that aren't trained on your specific deal patterns or GTM strategy. Actively AI trains custom models exclusively on your historical data, enabling agents that understand your unique business context—how your deals actually progress, what messaging resonates with your buyers, which signals indicate real intent.

Rox

Rox automates sales workflows by capturing activity data and providing AI-powered recommendations for next steps. The platform helps reps stay on top of follow-ups and ensures consistent execution across deals. However, Rox relies on generic AI models trained across thousands of companies rather than learning your specific deal patterns and GTM motion. Where Rox focuses on workflow automation for active opportunities, Actively AI deploys dedicated agents that run continuously across your entire total addressable market—monitoring dormant accounts, identifying expansion signals, and building strategies tailored to how your business actually wins deals.

Nooks

Nooks automates outbound calling workflows with an AI-powered dialer that streamlines repetitive tasks. The platform helps individual reps increase dial volume and execute cadences more efficiently. While Nooks optimizes productivity for outbound motions, it relies on generic AI models rather than learning from your specific deal patterns, and it focuses on active outreach rather than continuous account intelligence across your entire TAM.

Quick Comparison Table of Key Features and Pricing

Where Actively AI Delivers Unique GTM Superintelligence

Traditional sales platforms optimize specific workflows—recording calls, predicting forecasts, automating sequences—but they operate within narrow boundaries. Actively AI takes a different approach by deploying what we call GTM superintelligence that spans your entire go-to-market motion.

Custom AI Models Trained on Your Data

Generic AI models learn from datasets across thousands of companies, which means they understand common sales patterns but miss the nuances of how your specific business wins deals. Actively AI trains custom models exclusively on your CRM data, successful deal patterns, product positioning, and GTM strategy.

The models learn what messaging resonates with your buyers, which signals indicate real intent, and what actions actually advance opportunities in your sales cycle. Over time, your custom models become increasingly precise at predicting what will work for your business—not what works on average across all businesses.

Always-On Account Coverage Across the TAM

Most sales platforms focus only on active opportunities already in your pipeline, leaving the vast majority of your total addressable market unmonitored. Actively AI deploys a dedicated AI agent for every account in your TAM—current customers, active prospects, and potential buyers you haven't engaged yet.

Each agent runs continuously in the background, monitoring buying signals, researching account context, and identifying expansion opportunities. This always-on coverage means you never miss a moment when an account becomes ready to buy or expand.

Real-Time Deal and Expansion Guidance That Gets Smarter Over Time

Rather than generating static reports or historical dashboards, Actively AI provides prescriptive recommendations for advancing specific deals and expanding existing accounts. Your AI agents surface actionable next steps—who to contact, what to say, when to engage—based on deep reasoning about account context and buying signals.

The human-agent collaboration model creates compounding value as your agents learn from every closed deal, expansion win, and customer interaction. Each outcome trains your agents to deliver increasingly precise recommendations tailored to how your business actually wins.

See how Actively AI's GTM superintelligence works in practice

Deep Dive Into Competitor Strengths and Gaps

Understanding where competitors excel—and where they fall short—helps clarify when Actively AI's approach delivers the most value. Each category of competitor optimizes for specific use cases but leaves gaps in comprehensive GTM intelligence.

Conversation Intelligence Focus

Platforms like Gong revolutionized sales by making calls analyzable data rather than ephemeral conversations. They surface patterns across hundreds of calls, identify winning behaviors, and provide coaching insights that improve rep performance.

The limitation is timing—conversation intelligence operates retrospectively, analyzing what already happened rather than proactively shaping account strategy. You learn what worked on past calls but don't get guidance on which accounts to prioritize or what expansion opportunities exist before they surface in conversations.

Forecasting Accuracy Focus

Tools like Clari bring statistical rigor to revenue prediction, using historical patterns and pipeline data to forecast outcomes with impressive accuracy. Revenue leaders gain confidence in their board commitments and visibility into risks before they derail quarters.

However, forecasting platforms optimize for prediction rather than execution—they tell you what will likely happen but don't orchestrate the daily activities that actually drive revenue. Clari answers "what will we close?"; Actively AI answers "what actions will get us there?"

Sequencing Automation Focus

Outreach and Salesloft automated the mechanical work of sales outreach, ensuring consistent touchpoints and freeing reps from manual email and call logging. They've proven that automation can scale personalized outreach across hundreds of prospects simultaneously.

Yet automation platforms lack the intelligence layer—they execute sequences you define but don't reason about account context, buying signals, or whether a given touchpoint makes sense for a specific account at a specific time. They automate the "how" of outreach but miss the "why" and "when."

CRM-Native AI Add-Ons

AgentForce integrates seamlessly into existing CRM workflows, requiring minimal change management since users already work in Salesforce daily. The native integration advantage is real—data flows automatically and adoption friction decreases.

The tradeoff is flexibility and intelligence depth. CRM-native AI uses generic models optimized for broad applicability across all Salesforce customers, which means it can't adapt to your specific sales methodology, product positioning, or unique buying patterns.

Security and Compliance Checklist

Enterprise sales platforms handle sensitive customer data, deal information, and competitive intelligence, making security and compliance non-negotiable for procurement approval. Different platforms meet requirements with varying levels of rigor.

Key enterprise security requirements:

• SOC 2 Type II: Independent third-party audits verify security controls are designed effectively and operating consistently over time

• GDPR Compliance: European data protection regulations govern how customer data is collected, processed, and stored

• Data Residency: Controls over where customer data physically resides, critical for regulatory compliance in certain industries

• SSO Integration: Single sign-on through identity providers like Okta or Azure AD ensures centralized access control

• RBAC Controls: Role-based access controls limit data visibility based on user roles and responsibilities

SOC 2 Type II

SOC 2 Type II certification requires annual audits by independent third parties who verify that security controls meet AICPA trust principles. Actively AI, Gong, Clari, and Outreach all maintain SOC 2 Type II certification. When evaluating newer entrants, ask specifically about their audit timeline and which trust principles are covered.

GDPR and Data Residency

GDPR compliance matters for any company with European customers or employees, as violations carry significant penalties. Beyond basic compliance, data residency controls let you specify where customer data is stored and processed—critical for regulated industries like financial services or healthcare. Actively AI offers data residency options for enterprise customers, while smaller platforms may have more limited options.

SSO and RBAC Controls

Single sign-on integration with your identity provider centralizes access management and ensures employees lose access immediately when they leave your company. Role-based access controls let you limit data visibility—for example, ensuring individual reps only see their own accounts while managers see their entire team. Actively AI integrates with major identity providers and offers granular RBAC controls that align with your sales organization structure.

How to Choose the Right AI Sales Productivity Platform

Selecting between Actively AI and competitors requires evaluating your specific revenue goals, organizational readiness, and strategic priorities. A structured framework helps clarify which platform delivers the most value for your business.

Define Revenue Outcomes

Start by identifying your primary revenue challenge. If you're trying to maximize revenue across your entire total addressable market through always-on account intelligence and prescriptive guidance, Actively AI's custom models and continuous coverage deliver outcomes that point solutions can't match. If call coaching and rep development are top priorities, Gong's conversation intelligence excels. If you're trying to scale outbound motions, Outreach automates that workflow effectively.

Map Data Coverage Needs

Consider whether you want intelligence on just your active pipeline or across your entire TAM. Most platforms monitor only active opportunities, which means you're blind to 95% of your potential market. If you're in a land-and-expand business where existing customer growth matters as much as new logos, you want coverage across all accounts—current customers, active prospects, and dormant opportunities.

Evaluate AI Customization Depth

Generic AI models understand sales in general but not your sales motion specifically. Ask whether a platform trains custom models on your data or uses one-size-fits-all models. Custom training takes longer upfront but delivers compounding value as models learn your unique patterns. If your sales cycle, product complexity, or buyer personas differ significantly from typical B2B motions, generic models will struggle.

Assess Implementation Resources

Implementation timelines vary from weeks to months depending on platform complexity and integration requirements. Factor in technical resources for data integration, change management for user adoption, and ongoing maintenance. Actively AI typically implements in 2-4 weeks because custom model training happens in parallel with CRM integration.

Calculate Twelve-Month ROI

Look beyond licensing costs to expected revenue impact from improved sales performance. A platform that costs more but increases win rates by 5% or shortens sales cycles by two weeks likely delivers far better ROI than a cheaper alternative that only improves efficiency marginally. Calculate ROI based on incremental revenue from better account coverage and faster deal velocity, not just cost savings from automation.

The Fastest Path to Enterprise-Ready GTM Intelligence

The sales platforms that dominated the last decade optimized for specific workflows—recording calls, automating sequences, predicting forecasts. The next generation of GTM platforms will deliver superintelligence that spans your entire go-to-market motion, powered by custom AI models that learn how your specific business wins deals.

Actively AI represents this future. Custom models trained on your data provide precision that generic AI can't match. Always-on agents covering your entire TAM ensure no opportunity goes unnoticed. Real-time prescriptive guidance helps your team advance deals and expand accounts with confidence. Human-agent collaboration creates compounding value as your agents get smarter with every closed deal.

The gap between companies using AI-powered point solutions and those deploying true GTM superintelligence will widen rapidly. Early adopters gain advantages that compound—better account coverage, faster deal velocity, higher win rates—while competitors struggle with fragmented tools and generic insights.

See how Actively AI's GTM superintelligence can transform your revenue motion

Frequently Asked Questions About Actively AI and Competitors

How long does it take to deploy Actively AI?

Implementation typically takes 2-4 weeks depending on CRM complexity and integration requirements. Custom model training happens in parallel with data integration, so you start seeing value quickly. Most customers begin receiving actionable insights within the first month as agents learn account patterns and buying signals.

Can Actively AI coexist with Gong or Clari?

Yes, Actively AI integrates with existing conversation intelligence and forecasting tools to provide complementary account insights. Many customers use Gong for call analysis and coaching while Actively AI provides the always-on account coverage and prescriptive guidance that Gong doesn't offer.

Does Actively AI replace my existing forecasting tool?

Actively AI enhances forecasting accuracy by providing deeper account intelligence and earlier signals about deal momentum, but it can work alongside dedicated forecasting platforms like Clari. Some customers find Actively AI's deal insights sufficient for forecasting needs, while others prefer keeping both systems.

What data does Actively AI need to start producing insights?

The platform requires CRM data (accounts, contacts, opportunities, activities), historical deal information (won/lost deals with outcomes), and product details (what you sell and to whom). Additional data sources like marketing automation platforms, support tickets, or product usage data enhance model accuracy but aren't required to start.