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Top AI sales agents to explore in 2025

Find out how these top AI sales agents are transforming the way teams prospect, qualify leads, and close deals.
PUBLISHED:
July 2, 2025
Last updated:
Angus Skinner
Sales Development Manager

Key Takeaways

To augment sales performance and win more business, leading teams are implementing AI sales agents that work around the clock to automate various sales tasks.

High-quality AI sales agents are packed with features and functionality including scheduling meetings, responding to customer inquiries, and even training reps.

By taking a data-driven approach to sales and continuously learning, AI sales agents help teams get better and achieve better results over time.

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We all know how difficult it is to follow up quickly, keep our CRM updated, and research prospects to send personalized outreach. 

But… What if someone — or something — could do this for you? 

That’s where AI sales agents come into play. 

This new technology can help teams achieve more with less by providing always-on, automated sales assistance tailored to your needs. 

Keep reading to learn more about AI sales agents, some of the top tools on the market, and how best to implement this new-age technology. 

What are AI sales agents?

AI sales agents are autonomous tools that can manage and streamline sales tasks entirely on their own.

Powered by artificial intelligence, AI sales agents can proactively initiate conversations, answer questions, and even manage lead qualification — all without human intervention.

Unlike their human counterparts, AI sales agents work 24/7. If a lead feels inspired enough to reach out to your company at 2 a.m., an agent can respond immediately — ensuring a warm lead stays that way. The technology is particularly helpful at improving response times and also helping teams manage high lead volumes (e.g., following a successful product launch).

Due to these benefits, it comes as no surprise that 88% of organizations are either already using AI agents or are already piloting them, according to KPMG. While AI agents are expected to bring in $7.38 billion this year, the market is projected to explode to $47.01 billion by 2030.

Types of AI sales agents

AI sales agents are capable of handling all sorts of sales tasks:

  • Prospecting agents (outbound sales agents) can automate cold outreach across multiple channels, including email, LinkedIn, and SMS. These agents can personalize messages using firmographics, industry, company news (e.g., a funding round), role, or behavioral data.
  • Lead scoring agents are capable of scoring leads in real time by analyzing historical lead behavior, demographics, and engagement data. Agents can continuously refine their models using closed-won data — getting better and better results over time.
  • Sales onboarding agents can help new salespeople get up to speed quickly by teaching them about the products they’ll be selling, how to use sales tools, and sales processes via interactive tutorials. During onboarding, they deliver information and resources at the exact time they’re needed, lightening the load for already-busy managers.
  • Sales training agents facilitate role-playing scenarios that let new reps experience what it’s like to interact with a prospect, which helps them sharpen their pitches and learn how to handle objections. By providing instant feedback and personalized coaching, agents can help reps learn how to improve tone, phrasing, and messaging.
  • Video sales agents use AI avatars to deliver personalized video messages to prospects based on the actions they take such as requesting a demo or attending an event. It’s an easy way to demo products or answer frequently asked questions using video — which studies show is more persuasive than text.

Top 7 AI sales agents

Now that you’ve got a better idea of what AI sales agents are capable of, let’s examine some of the more powerful options on the market today.

1. LeadIQ

G2 score: 4.2 out of 5 stars (1,095 reviews)

LeadIQ is an AI-powered prospecting platform that helps sales teams find, capture, and enrich lead contact directly from places like LinkedIn and company websites.

LeadIQ key features:

  • Automatic data enrichment when users fill out website forms
  • Ability to track job changes with automated alerts
  • AI-powered email personalization tools
  • Roadmap packed with AI-driven features

LeadIQ pros:

  • Global data coverage including top-rated EMEA data
  • Robust integrations including Gong, Salesloft, Hubspot, Outreach, and Salesforce
  • Draft personalized emails with contextual data via LeadIQ Scribe 

LeadIQ cons:

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2. 11x

G2 score: N/A

11x is an AI-powered sales platform that offers two digital workers: Alice, which automates SDR workflows by identifying prospects aligned with your ideal customer profile and engaging relevant prospects, and Julian, which operates as an inbound sales rep, responding instantly to leads, scoring them, and routing them to the right person.

11x key features:

  • Automate outreach with digital workers responding within seconds to inbound leads within seconds
  • Revive inactive and old leads by automatically initiating conversations using CRM data
  • Identify high-intent prospects rapidly with a lead scoring engine that enables reps to spend more time focusing on the best leads

11x pros:

  • 24/7 autonomous prospect engagement with dedicated digital workers that never sleep
  • Multi-channel support via voice, email, and chat
  • Personalized outreach at scale, with comprehensive prospect research and self-improving messaging

11x cons:

  • Startup with an early-stage platform and mixed user reviews
  • Pricing not available on website; reports indicate the tool can cost as much as $10,000 per month, which may be too pricey for smaller businesses

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3. Vidyard

G2 score: 4.5 out of 5 stars (808 reviews)

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Vidyard is a video messaging service that leverages AI to help reps create, personalize, and optimize video messages for better engagement and more conversions.

Vidyard key features:

  • Record and send personalized video messages to prospects via email to build relationships and win business
  • Use AI-powered video creation tools to automate personalized video outreach at scale by creating AI avatars of each rep
  • Route video engagement data back to your CRM automatically to keep current with every interaction, maintaining a single source of truth of actionable contact data

Vidyard pros:

  • Automate cold outreach, lead nurturing, and meeting reminders
  • Improve trust by humanizing outreach more than email or chat can
  • Identify top-performing videos to figure out what’s working and what isn’t, iterating accordingly

Vidyard cons:

  • Limited customization options based on G2 reviews
  • Next-gen features, like AI avatars, are only available in premium tiers

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4. Salesforce Agentforce

G2 score: 4.4 out of 5 stars (121 reviews)

Agentforce is a platform designed for building custom AI agents that autonomously handle sales tasks and conversations by responding to customer inquiries, providing pricing information, helping with billing and payment, processing renewals, offering troubleshooting support, and more.

Agentforce key features:

  • Enable reps to create AI-powered agents using a low-code/no-code builder to solve workflow-specific problems — all in just a few clicks
  • Connect seamlessly to any data source to power AI agents that adapt in real time as new information comes in
  • Deep integrations with Salesforce, enabling teams that use Salesforce to maximize the value of CRM data

Agentforce pros:

  • Click-to-build agents for fast ROI and increased operational agility
  • Enterprise-grade security, giving sales orgs peace of mind knowing sensitive customer information and proprietary data stays safe
  • Backed by a company worth hundreds of billions of dollars, well-positioned to continue rolling out new features

Agentforce cons:

  • Best for teams that use Salesforce
  • Can require a steep learning curve for some reps
  • Costly for budget-conscious teams, with a consumption-based pricing model ($2/conversation)

5. Qualified.com

G2 score: 4.9 out of 5 stars (1,205)

Qualified is an agentic AI-driven conversational sales platform that identifies, qualifies, and converts website visitors in real time using chatbots and live engagement tools.

Qualified key features:

  • Instantaneous lead engagement with chatbots that engage website visitors 24/7
  • Automated inbound pipeline generation with Piper, an AI SDR agent
  • AI sales intelligence signals that route leads to the best reps and help them send the right offers at the right times

Qualified pros:

  • Book meetings with high-quality prospects in just a few clicks
  • Seamless Salesforce integration to sync data and optimize data quality
  • Personalized greetings and real-time engagements

Qualified cons:

  • Can be costly; no pricing information is publicly available
  • Learning curve to unlock the platform’s full potential, as reported by users on G2

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6. JustCall

G2 score: 4.3 out of 5 stars (2,193 reviews)

JustCall is a cloud-based phone, SMS, and email system with built-in AI capabilities that help businesses sell more effectively by automating outreach and using conversation intelligence to suggest the best path forward.

JustCall key features:

  • AI voice agent that automates dialing, answers calls, qualifies leads, and books meetings around the clock
  • Ability to automatically send relevant text messages to high-intent prospects at the best times to boost conversions
  • AI-powered agent assist functionality that surfaces insights and resources to help reps win in the moment with real-time agent assist 

JustCall pros:

  • Omni-channel AI sales agents that cover voice, SMS, email, and WhatsApp
  • More than 100 integrations with popular sales tools, including Salesforce, HubSpot, and Outreach
  • Resource library to guide seamless migrations from platforms like RingCentral, Aircall, and Kixie

JustCall cons:

  • Premium features available at higher price points
  • Some G2 users report issues with the app’s reliability

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7. Gong

G2 score: 4.8 out of 5 stars (6,196 reviews)

Gong is an AI-powered revenue intelligence platform that analyzes sales phone calls, emails, and meetings to discover actionable customer-specific insights that help reps improve performance and close more deals.

Gong key features:

  • Surface the best opportunities automatically with AI, with suggestions on how to best handle objections and navigate risks
  • Help new hires get up to speed rapidly by having them review battle-tested sales plays and mimic what works best
  • Consolidate all RevOps workflows and data into a single platform to streamline collaboration and increase alignment and visibility for cross-functional teams

Gong pros:

  • AI-powered recommendations that suggest how likely opportunities are to convert
  • Well-established company releasing new AI-powered sales features regularly 
  • Robust partner database with comprehensive contact data and over 250 integrations available via Gong Collective

Gong cons:

  • While highly reviewed on G2, some users report issues with calls and call recording
  • Some users also report AI limitations (e.g., with inaccuracies)

Gong use cases:

  • Deal execution
  • Sales forecasting
  • Sales coaching
  • Competitive intelligence

How to evaluate AI sales agents

Just because you can adopt AI agents doesn’t mean you absolutely should. There are certainly some challenges to consider, like training biases and AI hallucinations, which have reared their ugly head in the real world (like when Air Canada had to honor a bereavement policy made up by a chatbot or when a GM chatbot sold an SUV for $1). 

Before deploying an AI agent, it’s important to know how to evaluate and test the tools to get a better understanding of how they can help your organization get to the next level. 

1. Understand your goals

With so many different AI sales agent vendors on the market today — and so many different ways to put the technology to use — you need to have a precise understanding of the problem you’re trying to solve. Are you trying to generate more leads? Accelerate sales cycles? Reduce manual tasks? There’s no right or wrong answer here. You just need to understand what you’re trying to accomplish.

Not sure what that is? Start by identifying the gaps that exist in your processes and your team’s bandwidth, determining where you can complement your team best. While you’re at it, figure out where AI fits best in your funnel. Do you need top-of-funnel support (i.e., prospecting)? Or are you most interested in post-sale engagement?

Once you’ve answered all these questions, define your success metrics upfront. Perhaps you’ll measure impact by tracking key performance indicators (KPIs) like reply rates, meetings booked rates, and time-to-first-touch. 

2. Look at your existing tech stack

Now that you understand your goals for AI sales agents, it’s time to examine your existing tech stack — your CRM, marketing automation systems, and sales engagement tools — to see whether they offer any AI sales features you haven’t explored. In case you’re unaware, many platforms, like HubSpot and Salesforce, have built-in AI capabilities.

As you begin exploring AI sales agents, look for tools that seamlessly integrate with the rest of your tech stack. Whatever you do, don’t invest in something that will lead to more context switching and tool overload, which could discourage sales reps from trying the new tech in the first place.

3. Create a shortlist of tools to test

Next, narrow down tools that align with your goals and play nicely with your tech stack. 

At this point, assess each tool’s customization options. Can you adjust scripts, tones, and personas however you see fit? Assuming you have some sort of budget, you’ll also want to dig into pricing models to try and figure out how much each option might set you back. While some providers offer flat-rate subscriptions, others charge by usage (e.g., number of messages sent). The last thing you want is to be shocked when your initial bill comes in.

4. Review data privacy and compliance

In a world that’s increasingly regulated and privacy-conscious, it’s important to look for tools that comply with relevant regulations — like GDPR, CPRA, and HIPAA, whatever’s pertinent to your operations.

As you continue researching your options, ask each vendor how they store lead and customer data, whether they delete data upon request, and whether individuals can opt out of sharing training data. 

5. Consider all the costs

By now, you’ve found solutions that fit into your budget. But you have to remember that the costs you’ll incur with any new piece of technology are greater than just the monthly subscription fees. 

Factor in onboarding, setup, training, and whether there are potential fees for integrations or premium features. If the vendor offers usage-based pricing, make sure you wrap your head around what those fees are; some tools charge per lead or interaction, so costs can quickly add up if you’re not paying attention.

Beyond this, you’ll also need to account for internal resources. How much time will your team spend managing, customizing, and maintaining the AI agent? There are also opportunity costs to consider; weigh the value of automating repetitive tasks against what reps could be doing instead — like nurturing key accounts or closing deals.

6. Implement with a test

How do you determine whether your investments paid off?

Start with a clear hypothesis and define what success looks like. Once your hypothesis is nailed down, it’s time to roll out the tool to a small team or try a specific use case before jumping headfirst into the deep end. 

As you begin testing the tech, set measurable KPIs and track key metrics like response time, conversion rates, and pipeline velocity. Keep your eyes on how the AI performs over time by regularly reviewing its work. How does it handle real-world interactions, errors, and edge cases? You don’t want to set AI on autopilot only to find out the hard way that it loves to hallucinate. During this process, talk to reps and prospects alike about their experiences to understand the strengths and limitations of the tech.

Since you’re unlikely to achieve AI mastery out of the gate, be ready to iterate as new sales data comes in to refine the AI and continuously optimize workflows.

Take LeadIQ for a test drive today

Here at LeadIQ, we’re all about helping sales teams like yours unleash their full potential. Our powerful prospecting platform can supercharge your reps’ efforts — the same way it empowers our own team to achieve better sales outcomes every day.

In addition to tools that help you capture contact data and track champions as they move from one company to the next, our platform also delivers Scribe, a generative AI-powered email writing tool that enables you to write personalized emails in just a few clicks.

And we’re nowhere near done yet. Our roadmap is full of new AI-driven features that all aim to help sales teams cover more ground and win more business.

Ready to see what the fuss is all about? Request a LeadIQ demo today.