Best AI Sales Software for Modern Sales Teams

Sales fundamentals have broken down over the past two years. Teams are asked to hit bigger numbers with the same headcount. Revenue teams are expected to hit expanding quotas while operating with leaner budgets and tighter timelines. Old-school cold emails and contacts lists have now become obsolete. According to Salesforce’s 2026 State of Sales report, sellers still spend roughly 70% of their week on activities that have nothing to do with selling: CRM updates, prospect research, internal meetings, and follow-up chasing. Against that backdrop, AI sales software is becoming the much-needed backbone.

But the market is crowded, and not every tool marketed as “AI-powered” delivers results that justify the price tag. We have chosen some of the best on the market that you can trust.

What is AI Sales Software: Comparing 7 Best Ones

Gartner predicts that by 2028, AI agents will outnumber human sellers by 10 to 1. However, it also expects fewer than 40% of sellers to say those agents actually improved their productivity, which suggests buying AI-powered sales software isn’t the hard part, getting the right one is.

As the name suggests, AI-based sales software uses machine learning, natural language processing, and predictive analytics to automate or improve parts of the sales process. In practice, that could mean drafting a follow-up email, scoring how likely a lead is to close, transcribing a call in real time, or flagging a deal that has gone quiet before a rep even notices.

Most tools today come down to four core categories:

Conversation intelligence: Records, transcribes, and analyzes calls.
Sales engagement: Manages multi-channel outreach sequences.
CRM-embedded AI: Layers insights across the entire pipeline, from first touch to close, scores and forecasts inside the existing system.
Prospecting or enrichment tools: Finds, verifies, and prioritizes leads; builds better contact lists.

True AI sales platforms typically cover more than one of these categories at once. Five different logins, each solving one small problem, is one of the biggest reasons AI initiatives stall inside sales teams.

1. Runo

Most AI sales tools are built email-first, with calling added as an afterthought. Runo flips that: it’s a call management CRM built specifically for teams that live and die by outbound calling volume, inside sales reps, and high-volume telemarketing operations. It automatically records, transcribes, scores, and summarizes every conversation.

What sets Runo apart among the best AI sales assistant software for outbound teams is its dependable layer of AI analytics on every single call. Its AI call summary feature turns a ten-minute conversation into a scannable brief of what was discussed and what happens next. It gets easier for teams running dozens of calls a day, which otherwise is a hassle for a full-time analyst to produce manually. Managers can access representative performance across thousands of monthly touchpoints. Runo’s integrated Auto Dialer makes it easier to scale outbound productivity while maintaining conversation quality.

Automated AI Call Summaries: Instantly condenses every outbound and inbound sales call into key discussion topics, agreed action items, and clear next steps.
Objective Quality Scoring (0–100): Scores rep performance on every call based on multiple dimensions such as talk-to-listen ratios, script adherence, filler word density, and speaking speed.
Dual-Channel Sentiment Analysis: Tracks rep and customer emotional tone separately throughout the call to detect friction, interest spikes, or closing opportunities.
Built-in Telecalling CRM: SIM-based calls, lead allocation, WhatsApp outreach, and custom customer journey tracking, all in one platform.

Best for: Outbound sales teams, telecalling operations, inside sales units, and growing SMBs who want a SIM calling feature, built-in CRM, and AI call analytics in a single system rather than three separate subscriptions.

Integrations: Built-in CRM, WhatsApp Business, Gmail, Google Sheets export, and cloud telephony.

2. HubSpot Sales Hub

HubSpot Sales Hub inserts its Breeze AI toolkit across its central CRM engine to assist reps throughout every phase of the deal cycle. It covers prospecting, provides automated lead scoring based on cross-channel engagement signals, drafts contextually relevant email responses, and generates real-time pipeline confidence scores for revenue managers.

Because everything lives in one system, reps rarely need to switch tabs to get deal context, making it an approachable entry point for teams that don’t want a heavy implementation project.

Breeze AI Copilot: In-app intelligence assistant across workflows and outreach content.
Predictive Lead Scoring: Automatically ranks pipeline contacts based on historical closed-won activity and digital behavior.
Conversation Intelligence: Records customer calls and surfaces product feedback, competitor mentions, and pricing objections.

Best for: Small to mid-size teams wanting an all-in-one AI CRM without a steep learning curve.

Limitation: Strongest AI features and conversation intelligence are included in higher-tier plans. Entry-level users only see a fraction of the platform’s potential.

3. Gong

Gong is a conversation intelligence platform that records, transcribes and analyses every sales voice call and video interaction. It does not rely on basic transcription and self-reported CRM updates from sales reps. Instead, it captures and spots patterns across every buyer touchpoint, pinpoints what top performers do differently, highlights missing steps, and flags at-risk deals based on buyer response velocity. It helps managers coach at scale.

Autonomous Revenue Intelligence: Forecasts quarter-end pipeline health based on real buyer interaction signals rather than manual rep probability estimates.
Smart Deal Board: Visualizes account activity and warns revenue leaders when key stakeholders drop out of communication.
Automated Rep Coaching: Highlights critical call moments such as objection handling or pricing negotiations

Best for: Mid-to-large sales teams where manager coaching and full-team conversation analysis are the priority.

Limitation: Gong is priced for enterprise budgets, which makes it a tough sell for smaller teams that only need basic call recording.

4. Apollo.io

Apollo.io pairs a large B2B contact database of over 275 million contacts with automated multi-channel sales engagement tools. Reps can build targeted prospect lists and launch email sequences without leaving the platform.

Moreover, its AI engine prioritises which leads to contact first based on intent and engagement signals, which makes it a feature-rich AI sales software for sales teams focused on the top of the funnel.

Intent-Based Lead Scoring: Filters prospective accounts by active buying intent and hiring signals.
AI Assistant Writer: Generates custom email outreach messaging tailored to specific buyer personas and industries.
Integrated Dialer & Email Sequences: Performs automated outreach workflows across email, phone, and LinkedIn touchpoints.

Best for: Outbound SDR teams and business development reps who need a large contact database paired with AI-powered sequencing.

Limitation: Email deliverability can suffer at very high outreach volumes, and the built-in calling tools are basic compared with dedicated dialer platforms like Runo.

5. Salesforce Einstein

Salesforce Einstein is the enterprise-grade AI architecture natively built into Agentforce Cloud. It is designed to handle vast data environments. Einstein brings predictive machine learning models and generative assistance to global sales forces. It captures representative activities from calendars and inboxes, calculates deal win probabilities, and provides reps with next-best-action recommendations.

Einstein Opportunity Insights: Predicts account risks and closure probabilities based on historical CRM interaction patterns.
Automated Activity Capture: Logs emails, calendar invites, and customer interactions directly into corresponding CRM records without manual effort.
Einstein Copilot: Conversational AI assistant capable of pulling custom complex data summaries across massive Salesforce enterprise instances.

Best for: Large enterprise sales organizations already invested in the Salesforce ecosystem with dedicated RevOps and administrative management resources.

Limitation: Requires highly structured, perfectly maintained CRM data to produce accurate predictive outputs and implementation costs can be high.

6. Outreach

Outreach is a sales engagement platform that uses AI to optimize how reps interact with prospects across email, calls and other touchpoints. It is designed to build smarter sequences, prioritize which prospects to contact, and forecast pipeline health from engagement signals. For managers who don’t want to rely on reps updating the CRM manually, this might be a useful AI-powered sales software.

Smart Sequence Optimization: Recommends touchpoint timing and optimal communication channels based on buyer response rates.
Kaia Real-Time Meeting Assistant: Provides reps with live, on-screen prompt cards during sales calls to address competitor objections.
Pipeline Health Analytics: Flags stalling deals based on buyer engagement drops across active email sequences.

Best for: Mid-to-large B2B teams with dedicated RevOps teams looking to standardize structured sales sequences.

Limitation: Outreach has a steeper learning curve for field reps than most tools on this list and often needs a dedicated sales-ops function to configure well.

7. Clay

Clay is an innovative AI sales assistant for data synthesis and prospect research. It uses AI that pulls information from more than 75 data sources at once to build detailed prospect profiles. Instead of reps spending hours on manual research before outreach, Clay automates that research layer and outputs ready-to-use contact records.

Multi-Source Data Aggregation: Waterfall-enriches prospect records across 75+ data vendors in a single automated table.
Claygent Web Research Agent: Researches prospective target accounts to surface headcount growth, recent hires, or tech stack updates.
AI Outreach Personalization: Drafts unique personalized messaging snippets based on synthesized web research findings.

Best for: Growth marketing teams and outbound sales operations who want to automate the lead research process.

Limitation: Clay requires technical setup and workflow configuration, understanding of webhooks and API data logic for maximum utility, which can be difficult without a dedicated RevOps resource.

Software Platform	Primary Use Case	Core AI Feature	Calling Infrastructure	Pricing Tier
Runo	Outbound Telecalling & Sales Management	AI Call Summary, Quality Scoring & Sentiment Analysis	Native SIM-Based & Cloud Telephony	Highly Affordable /Scalable
HubSpot Sales Hub	All-in-One Lead & Deal Management	Breeze AI Copilot & Lead Scoring	VoIP Integration Options	Freemium to Enterprise
Gong	Conversation Intelligence & Deal Coaching	Revenue Intelligence & Call Insights	Integrates with External Telephony	Premium Enterprise
Apollo.io	Prospecting Data & Email Sequencing	Intent Scoring & AI Email Generation	Basic Built-in Dialer	Freemium to Custom Tier
Salesforce Einstein	Enterprise CRM Automation & Analytics	Predictive Forecasting & Opportunity Insights	Requires Third-Party Integration	Enterprise Custom Pricing
Outreach	Sales Engagement & Sequence Automation	Kaia Meeting Assistant & Sequence Tuning	Built-in Outreach Dialer	Mid-Market to Enterprise
Clay	Lead Data Enrichment & Automated Research	Claygent Web Research & Data Synthesis	N/A (Data Engine)	Usage-Based Credit System

How to Choose the Best AI Sales Assistant Software for Your Team

Before you choose an AI-powered sales software as a sales operations and RevOps leader, evaluate tools across these foundational criteria:

Workflow Integration vs Siloed Data: Does the platform integrate with your calling infrastructure, email servers, and primary CRM system, or does it force reps to operate out of another isolated dashboard?
Actionable Conversation Intelligence: Does the software just transcribe audio, or does it extract actionable next steps, calculate speaker ratios, detect sentiment shifts, and output automated performance scores?
Speed to Value & Adoption Barrier: Complex enterprise suites often take months of configuration before generating insights. High-impact teams prefer intuitive tools that reps can master immediately without friction.
Calling & Outreach Efficiency: For phone-heavy outbound sales operations, does the system offer reliable telecalling connectivity (such as SIM-based infrastructure) alongside automated post-call recording and analytics?
How your Team Sells: Outbound and telecalling teams get far more value from a platform built around calls, like Runo, than from an email-first sequencing tool.
Is your Bottleneck Coaching or Prospecting? Conversation intelligence tools such as Gong solve a coaching problem; enrichment tools such as Clay solve a prospecting problem. None of them solves both well.
Real-Time Signal Quality over Volume: Does the platform rely on outdated static contact databases, or does it trigger automated outreach based on live intent signals and direct conversation context?
Calling Infrastructure & Mobile Telephony: Does the platform offer native SIM-based calling that bypasses VoIP spam filters for high-touch phone outreach?
What is your realistic budget? Enterprise-priced platforms deliver diminishing returns for small teams that only need core call or CRM automation.

If outbound calling and follow-up consistency drive revenue for your business, a lead management system with AI call analytics often delivers the fastest, most measurable return.

Why Sales Teams Need AI Tools Now

AI-powered sales software and the push to invest in it isn’t theoretical. Salesforce’s State of Sales report (6th edition, 2026) points out:

81% of sales teams are either experimenting with or have fully implemented AI in their sales process.
85% of reps say AI agents make their job less stressful and free them up to focus on higher-value work rather than admin
Sellers who use AI reported 83% revenue growth, compared to 66% among teams that had not adopted AI.
AI agents help reduce prospect research time by 34% and time spent drafting emails by 36%.

For most businesses, the pain comes from one of four places:

Lost hours to manual data entry and CRM updates
Missed follow-ups because of inconsistent systems
Managers unable to review enough calls to coach effectively
Forecasts are closer to guesswork than data.

McKinsey estimates generative AI could unlock an incremental $0.8 trillion to $1.2 trillion in productivity across sales and marketing functions, on top of gains already realized from traditional analytics and automation.

Sales organizations using AI-enabled next-best-action guidance are 2.6 times more likely to hit commercial growth goals, according to a 2025–2026 Gartner survey of 227 CSOs. The same research also shows that AI saves the average seller nearly 5 hours a week.

Why High-Volume Outbound Teams Excel with Runo

Runo excels as a purpose-built AI-powered sales software solution. It integrates calling infrastructure directly into a mobile-first CRM that removes friction from high-volume phone operations. Representatives make calls without manual dialing or tedious post-call logging, while revenue managers get automated performance metrics without spending hours listening to call recordings.

Furthermore, by pairing Runo’s call intelligence with an in-built Lead Management System, every prospect touchpoint is automatically captured, tracked, and nurtured. Runo’s data shows an average call connect rate of 78%. Book a demo with us or start your 10-day free trial!

FAQ

What’s the difference between AI sales software and a regular CRM?

While a traditional CRM stores and organizes customer data, AI sales software automates and analyzes so the data does more work without extra manual effort from reps.

Is AI-powered sales software expensive for small teams?

Not necessarily. Several platforms, including HubSpot, Apollo.io and Clay, offer free or low-cost entry plans, and many providers price based on team size, so smaller teams don’t need enterprise budgets to get started.

Will AI sales tools replace sales representatives?

No. AI sales tools support reps by removing repetitive admin and surfacing insight, not replacing the human relationship-building and judgement that closes B2B deals.

How do I know if my team is ready for AI sales software?

If reps are losing significant time to admin work, follow-ups are inconsistent, or managers can’t review enough calls to coach effectively, the team is ready. The only decision left is which platform best fits the specific gap.