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Turn Cold Leads to Closed Deals with Top AI Agents for Sales

Looking to scale sales? Here are the 8 AI agents for sales that can turn conversations into conversions with minimal manual effort. Explore the list!

Sales used to be a numbers game; the more calls you made, the more deals you closed. But what if you could multiply your efforts without multiplying your team?Read More

That's exactly what AI agents for sales are doing right now. They're not just automating the repetitive tasks; they're qualifying leads while you rest, personalizing outreach at scale, and helping reps focus on what actually moves the needle: closing deals.

Whether you're a solo founder or leading a full organisation, the right AI agent for sales can feel less like a tool and more like your best hire. Here are the 8 best ones worth your attention.Read Less

List of Leading AI Agents for Sales Enablement

1.

Salesforce Agentforce

4.5
  • Pros & Cons

    Pros

    • Deeply embedded in the Salesforce ecosystem for seamless CRM-to-action workflows
    • Autonomous agents handle tasks without constant human input
    • Highly customizable agent personas for different sales functions
    • Real-time data grounding means agents act on the current pipeline context

    Cons

    • Steep learning curve for teams not already on Salesforce
    • Licensing costs can scale quickly for larger teams
    • Requires Salesforce admin expertise to configure properly
    • Limited value outside the Salesforce environment
  • Why You'll Love It

    Think of Agentforce less as a tool and more as a team member that never clocks out. It doesn't just surface recommendations; it actually does the work. Whether it's responding to inbound leads, updating deal stages after a call, or nudging a stalled opportunity back to life, Agentforce operates with a kind of quiet reliability that frees your reps to do what humans do best: close.
  • More about product

    Agentforce is Salesforce's boldest bet on what AI can actually mean for a sales org. Rather than layering an AI assistant on top of your existing tools, it bakes autonomous agents directly into your Salesforce instance. These agents can be spun up for specific jobs, qualifying leads, handling objection follow-ups, and routing accounts, and they use your live CRM data as their operating brain, so they're never working from stale information.

    The real leap here is autonomy. Agentforce agents don't wait to be asked. They take initiative within guardrails you define, which means your pipeline doesn't go cold just because your team is busy. The Atlas Reasoning Engine underneath determines how agents plan and act, and Salesforce's trust architecture ensures that every action is logged and auditable.

    For enterprises already deep in the Salesforce stack, this is less of an add-on and more of an upgrade to the operating system of how your sales team runs.

2.

Enginy AI

4.5
  • Pros & Cons

    Pros

    • Conversation intelligence surfaces coaching moments in real time
    • Predictive engagement identifies warm prospects before reps reach out
    • Omnichannel signal tracking means no customer interaction falls through the cracks
    • AI-driven workforce management reduces ramp time for new reps

    Cons

    • Can feel heavy for SMBs not running high-volume contact operations
    • Requires significant data maturity to unlock its most powerful features
    • Integration setup can be time-intensive
    • Analytics depth may overwhelm teams without a dedicated RevOps function
  • Why You'll Love It

    This platform does the signal-reading for you, watching how customers move across channels and telling your team exactly when to step in and what to say. It's less about replacing the human in the sales conversation and more about making sure that the human shows up fully prepared.
  • More about product

    Formerly known as Genesy, Enginy is a B2B sales platform built around three core modules — Find, Enrich, and Engage, each of which handles a distinct stage of the outbound pipeline. The Find module is where Enginy differentiates most clearly from database tools. Instead of filter dropdowns, you interact with an AI that takes a natural language description of your target buyer and returns a prioritized list. 

    The AI Finder handles filters like job title, company size, funding stage, technology stack, geography, and investor backing. An Ideal Customer Score layer lets you define your own scoring logic, and the AI applies it automatically to rank leads in your list, high, medium, or low

    The platform’s Enrich module runs waterfall verification across 30+ data providers to return phone numbers and emails for identified contacts. It also offers an AI Deep Research feature that builds a biographical and company profile for each contact, pulling recent activity, work history, and company context.

    Enginy’s Smart Inbox aggregates all replies across every campaign into a single view, sorted by the AI's intent classification. You can see AI-drafted reply suggestions for each conversation and can send calendar links directly from the inbox when a prospect indicates readiness to meet. 

    Its Slack notifications are updated in real time as soon as a lead replies with positive intent, so high-value conversations don't go cold. The platform is GDPR-compliant and ISO 27001 certified, which makes it completely safe to use. 

3.

Lindy AI

4.4
  • Pros & Cons

    Pros

    • No-code agent builder makes automation genuinely accessible to non-technical reps
    • Handles email drafting, follow-ups, and meeting scheduling end-to-end
    • Surprisingly good at personalizing outreach at scale
    • Lightweight setup — most teams are running in hours, not weeks

    Cons

    • Less suited for highly complex, multi-step enterprise workflows
    • Newer platform, so some integrations are still maturing
    • Requires clean contact data to work at its best
    • Less established customer support infrastructure than legacy tools
  • Why You'll Love It

    Lindy is what happens when someone sits down and asks: "What do sales reps actually spend their time on that they wish they didn't?" The answer, scheduling, follow-up emails, note-taking, CRM updates, is exactly what Lindy automates, and it does it without requiring a single line of code or a two-week onboarding process. It's the kind of tool that makes reps wonder how they ever managed without it.
  • More about product

    Lindy approaches AI agents the way a great executive assistant would approach a chaotic inbox: with systems, priorities, and a knack for knowing when to act and when to flag something for human judgment. Reps can build their own "Lindies" — personal AI agents tailored to their workflows — that handle the mechanical parts of the sales process so they can focus on actual conversations.

    The platform connects to your calendar, email, CRM, and communication tools, and its agents work across all of them simultaneously. A lead fills out a form, Lindy enriches the data, drafts a personalized intro email, schedules a discovery call, and logs everything in your CRM — often before a rep has even seen the notification.

    For lean sales teams or individual reps who want the leverage of a full support operation without the headcount, Lindy AI is quietly becoming one of the most practical tools in the stack.

4.

Clari

4.2
  • Pros & Cons

    Pros

    • Revenue forecasting accuracy is genuinely impressive, often outperforming manual estimates
    • Deal inspection surfaces risk signals before opportunities go cold
    • Conversation intelligence captures activity data automatically
    • Gives managers real pipeline visibility without requiring rep updates

    Cons

    • Pricing is enterprise-tier and not accessible for smaller teams
    • Data quality heavily influences prediction quality
    • UI takes time to navigate confidently for new users
    • Best value realized only when deeply integrated with existing tech stack
  • Why You'll Love It

    Clari is for anyone who has ever walked into a QBR and had a sneaking feeling the pipeline numbers weren't quite what they appeared to be. It replaces gut-feel forecasting with something far more reliable: a real-time model of your revenue that updates as deals move, conversations happen, and signals change. It doesn't just tell you what's in the funnel — it tells you what's actually likely to close.
  • More about product

    There's a version of revenue operations that lives in spreadsheets, relies on rep self-reporting, and produces forecasts that quietly drift from reality as the quarter progresses. Clari exists to end that version. Its Revenue Platform captures signals from email, calls, CRM activity, and calendar data to build a living picture of every deal in your pipeline — one that updates automatically, without anyone having to manually fill anything in.

    The platform's AI models are built specifically around revenue prediction, trained on patterns that indicate whether a deal is healthy, stalled, or quietly dying. Managers can drill into any opportunity, see exactly what engagement has happened, and make calls about where to spend their time. Sales leaders can roll that up to a forecast they can actually defend to the board.

    Clari has also expanded into conversation intelligence, meaning it can now close the loop between what's being said in calls and what's happening in the pipeline. For revenue teams that want one coherent view of how the business is performing, Clari remains one of the most serious options in the market.

5.

Gong.io

4.2
  • Pros & Cons

    Pros

    • Conversation intelligence is among the best in class — the transcription and analysis quality is exceptional
    • Pinpoints exactly why deals are won or lost using real call data
    • Coaching built around actual conversations, not assumptions
    • Deal intelligence surfaces risk before reps can feel it themselves

    Cons

    • Premium pricing can be a hard sell for smaller teams
    • Can create a surveillance-like culture if rolled out without careful change management
    • Requires consistent usage across the team to generate meaningful insights
    • Onboarding and full adoption can take a few months
  • Why You'll Love It

    Gong is the tool that makes your best rep's instincts transferable. By analyzing what actually happens in winning conversations — the questions asked, the topics surfaced, the talk-to-listen ratios — it takes the guesswork out of what "good" looks like and makes those patterns visible and coachable across your whole team. Sales coaching stops being subjective and starts being grounded in evidence.
  • More about product

    Gong built its reputation on a simple but powerful idea: if you want to improve sales performance, start by actually listening to what's happening in sales conversations. The platform records and transcribes calls and emails, then applies AI to identify patterns that separate closed deals from lost ones. Over time, it becomes an institutional memory — a searchable library of every customer conversation your team has ever had.

    But Gong has grown well beyond call recording. Its Forecast product brings the same signal-reading intelligence to pipeline management, using conversation data to score deal health in ways that CRM activity logs simply can't. Managers can see which deals are at risk before reps flag them, and sales leaders get forecasts grounded in reality rather than optimism.

    What makes Gong sticky is the flywheel effect: the more your team uses it, the better the models get at understanding your specific buyers, your specific objections, and your specific competitive landscape. For high-performing sales organizations serious about building a repeatable, data-driven motion, Gong is still the benchmark.

    Bonus Read: AI Agents for Customer Support

6.

Apollo AI Assistant

4.1
  • Pros & Cons

    Pros

    • Massive B2B contact database paired with AI outreach is a rare and powerful combination
    • AI-generated email sequences save hours of manual personalization work
    • Prospecting, sequencing, and analytics all live in one place
    • Generous pricing tiers make it accessible to early-stage teams

    Cons

    • Data accuracy on some contacts can be inconsistent
    • Heavy reliance on the database makes it less useful for teams with strong proprietary lists
    • Can encourage spray-and-pray outreach if not configured thoughtfully
    • AI writing quality, while solid, still often needs a human edit
  • Why You'll Love It

    Apollo removes the two biggest friction points in outbound sales: finding the right people and saying the right thing to them. With over 275 million contacts in its database and an AI assistant that can draft a personalized sequence in seconds, it collapses what used to be a full prospecting workflow into something you can execute in a single sitting. For lean teams running aggressive outbound, there's very little that competes with it at this price point.
  • More about product

    Apollo started as a data company and has quietly become one of the most complete outbound sales platforms available. The AI Assistant sits on top of that foundation, using prospect data to help reps draft emails that don't read like templates — factoring in the prospect's role, their company's recent activity, and the product angle most likely to resonate. It's not magic, but it's meaningfully better than starting from a blank page.

    The platform handles the full outbound loop: find contacts, build sequences, send and track emails, log calls, and analyze what's working. Its AI features continue to expand, with tools that help identify which prospects are most likely to convert based on intent signals and firmographic fit.

    Apollo works especially well for teams that need to generate a pipeline quickly without a large RevOps function supporting them. The database alone is worth significant time savings in prospecting research — and pairing it with AI-assisted messaging makes it one of the highest-leverage tools an outbound rep can have in their corner.

7.

Salesloft

4.0
  • Pros & Cons

    Pros

    • Purpose-built for managing the full sales cycle from first touch to close
    • AI-powered cadence suggestions help reps prioritize the right actions daily
    • Deals and Forecast features bring pipeline management inside the platform
    • Deep coaching and analytics help managers develop reps consistently

    Cons

    • Can be complex to administer without a dedicated RevOps owner
    • Some users report the mobile experience lagging behind the desktop version
    • Higher price point relative to tools focused only on sequencing
    • Integration quirks with some CRMs can require manual troubleshooting
  • Why You'll Love It

    Salesloft is the closest thing to a complete operating system for a modern sales team. It doesn't just help reps send better emails, it structures their entire day around the most important actions, supports managers in knowing exactly who needs coaching and why, and gives leadership a pipeline view that doesn't require chasing down updates from ten different people. If you're trying to run a more disciplined, repeatable sales motion, Salesloft is built for exactly that.
  • More about product

    Salesloft has spent years positioning itself as a revenue orchestration platform rather than just a sales engagement tool, and the product has grown to match that ambition. At its core is the cadence engine, a structured way to manage multi-touch outreach across email, phone, and social, but that's now surrounded by a surprisingly deep set of capabilities including AI-driven deal intelligence, conversation analytics, and forecasting.

    The platform's AI features work to surface what deserves attention: which deals have gone quiet, which reps are falling behind on activity, which pipeline is more at risk than it appears. Managers get a coaching queue built on actual data. Reps get a daily task list that reflects where they should actually spend their time, not just what's been sitting in their inbox longest.

    For enterprise sales teams running complex, multi-stakeholder cycles, Salesloft provides the structure and visibility that keeps large deals from stalling quietly in the background. It's a mature, opinionated platform, and that's precisely its strength.

8.

Zoho CRM

4.0
  • Pros & Cons

    Pros

    • Exceptional value for money, one of the most feature-rich CRMs at this price point
    • Zia AI assistant handles lead scoring, anomaly detection, and sales predictions
    • Highly customizable to match unique sales processes across many industries
    • Part of a broad Zoho ecosystem that spans marketing, support, and finance

    Cons

    • UI can feel cluttered, particularly at higher feature tiers
    • AI features require sufficient historical data to generate reliable outputs
    • Some integrations require workarounds compared to Salesforce-native tools
    • Enterprise-grade configurations can require significant setup investment
  • Why You'll Love It

    Zoho CRM is proof that you don't have to spend a fortune to run a sophisticated sales operation. With Zia, its built-in AI, handling everything from predicting which leads are worth prioritizing to flagging when a deal is going sideways, it gives growing businesses access to the kind of intelligence that used to require a much bigger budget. Add to that one of the widest integration ecosystems in the mid-market CRM space, and you have something genuinely hard to beat for the price.
  • More about product

    Zoho CRM has been around long enough to be underestimated, and that's a mistake worth correcting. While it doesn't carry the name recognition of Salesforce, it has spent years building a platform that handles the full sales cycle with surprising sophistication, and its AI layer, Zia, has matured considerably.

    Zia can predict the best time to contact a lead, score opportunities based on historical conversion patterns, detect sentiment in customer communications, and alert reps when a deal's engagement pattern suggests something is wrong. These aren't gimmicks; for teams that invest in feeding Zoho good data, Zia becomes a genuinely useful early warning system.

    What makes Zoho CRM particularly compelling for growing businesses is how it scales. Start with a small team on an accessible plan, and the platform grows with you — adding capabilities around sales forecasting, territory management, CPQ, and marketing automation as your needs evolve. For companies that want a single ecosystem rather than a patchwork of point solutions, Zoho's integrated suite is one of the strongest arguments for staying in one place.

    Also Read: Best CRM Software

  • Classifying Top AI Agents for Sales by Primary Use Cases

    The following table categorizes these leading AI agent platforms based on their primary operational use cases. From sales outreach to autonomous task delegation, this breakdown highlights the specific business functions where each tool excels.

    Primary Use Case Suitable Agents
    Sales Outreach & Engagement: Automating prospecting, email cadences, and daily sales rep activities to generate pipeline. Apollo AI Assistant, Salesloft
    Revenue & Conversation Intelligence: Analyzing customer interactions (calls, emails), forecasting pipeline health, and guiding revenue operations. Clari, Gong.io
    Customer Support & CRM Platform Intelligence: Enhancing the customer experience through contact center automation, ticketing, and native CRM insights. Genesys AI, Zoho CRM
    Autonomous Workflow & Task Delegation: Deploying goal-oriented AI agents capable of reasoning, planning, and executing multi-step actions across various apps. Agentforce, Lindy AI

    How Did We Select AI-powered Agents for Sales Teams for Our List?

    At MobileAppDaily, we select the best AI agents using a comprehensive evaluation framework that balances technical capabilities with real-world business needs.

    We begin by assessing how well each AI agent aligns with specific use cases and a company’s “technical reality,” with a strong focus on seamless integration into existing enterprise tech stacks such as CRMs and data pipelines. 

    We also rigorously evaluate scalability to ensure the solution can handle growing data volumes and operational complexity without introducing bottlenecks.

    Our evaluation places significant weight on data privacy, strict security and compliance standards, and ethical AI practices. 

    In addition, we factor in both immediate and long-term costs, the vendor’s reputation, and the strength of community support. Ultimately, we recommend only those platforms that pass our hands-on “litmus test” and deliver a clear, measurable return on investment.

    Wrapping Up!

    AI agents aren't coming for sales jobs; they're coming for the busywork that gets in the way of them. The reps who embrace these tools will spend less time on data entry and follow-up emails, and more time doing what humans do best: building relationships and closing deals.

    You don't need to adopt all eight. Start with one that solves your biggest bottleneck, whether that's lead gen, outreach, or pipeline management, and go from there.

    The future of sales isn't AI or humans. It's AI and humans, working together smarter.

Why Trust MobileAppDaily?

We cut through the deafening digital noise to find what truly works. Every product on our list survives a relentless, hands-on analysis—no exceptions. We do the grunt work to deliver verified, trustworthy recommendations, so you can choose the right tools with absolute confidence.

  • Products Reviewed - 4,000+
  • No. Of Experts - 20+
  • Categories - 65+
Explore Our Methodology

Frequently Asked Questions

  • What are AI agents for sales, and how do they work?

    AI agents for sales are intelligent tools that automate tasks like lead qualification, outreach, follow-ups, and CRM updates. They use machine learning and natural language processing to analyze customer behavior and interact with prospects in real time.

  • How are AI sales agents different from traditional sales automation tools?

    Unlike basic automation tools that follow fixed rules, AI agents can learn from data, adapt conversations, and make context-aware decisions. This makes them far more dynamic in handling leads and personalizing communication.

  • Can AI agents replace human sales representatives?

    No, AI agents are designed to assist—not replace—sales reps. They handle repetitive tasks and data-heavy processes, allowing human teams to focus on relationship-building and closing deals.

  • What are the key benefits of using AI agents in sales?

    AI agents improve response times, increase lead conversion rates, reduce manual workload, and provide data-driven insights. They also help scale personalized outreach without increasing team size.

  • What should businesses consider before choosing an AI sales agent?

    Businesses should evaluate integration capabilities (CRM, email, etc.), ease of use, customization options, data security, and pricing. It’s also important to ensure the tool aligns with your sales workflow and goals.

WRITTEN BY
Riya

Riya

Content Writer

Riya turns everyday tech into effortless choices! With a knack for breaking down the trends and tips, she brings clarity and confidence to your downloading decisions. Her experience with ShopClues, Great Learning, and IndustryBuying adds depth to her product reviews, making them both trustworthy and refreshingly practical. From social media hacks and lifestyle upgrades to productivity boosts, digital marketing insights, AI trends, and more—Riya’s here to help you stay a step ahead. Always real, always relatable!

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