5 Best AI Chatbots for Sales Teams in 2024: Pricing, Integrations & Use Cases

Did you know, only 37% of businesses respond to leads within 1 hour, while 24% take over 24 hours and 23% never respond at all! 

Apart from being proactive in reaching out to leads, there are many reasons for a sales deal to fail, while you might think pricing tops the list, it’s actually the combination of not being proactive, not showing enough values & not making potential customers feel valued. 

But can you do it at scale? What if you have to reply to 50+ queries everyday? (that would be a dream!)

That’s where AI chatbots come in. AI assistants for sales have seen a steady increase in adoption. These intelligent conversational AI agents can engage prospects 24/7, qualify leads, and guide customers through the sales funnel, all while freeing up your reps to focus on closing deals.

But where should you start? 

In this guide, we'll dive into the 10 best AI chatbots for sales teams in 2024, exploring their features, pricing, integrations, and real-world use cases. So, let’s start. 

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What are AI chatbots for sales?

Let’s define AI chatbot. According to Google, an AI chatbot uses artificial intelligence (AI), along with natural language processing (NLP) and machine learning (ML), to understand and respond to human language in a conversational manner.

Now, putting it in the context of sales, sales AI chatbots are conversational AI tools that automate repetitive tasks and help sales teams become more productive at selling & engaging prospects. 

AI sales chatbots can engage prospects, qualify leads, answer questions, and guide customers through the sales funnel 24/7, allowing sales teams to focus on high-value tasks and closing deals.

Types of AI chatbots for sales

There are two main types of AI assistants used for sales: rule-based chatbots and AI-powered chatbots.

Rule-based chatbots

Rule-based chatbots use predefined rules and decision trees to handle conversations. They are best suited for simple, linear sales interactions where the customer journey is predictable. While rule-based chatbots are easier to implement, they lack the flexibility and adaptability of AI-powered chatbots.

AI chatbots

AI assistants for sales use generative AI and advanced NLP, ML and retrieval augmentation to understand and respond to sales queries. AI assistants like Alltius can handle  complex, open-ended conversations and continuously learn and improve over time. They’re great for extracting information from unstructured and structured data sources like sales enablement documents, FAQs, product catalogs and more. 

5 Best AI Chatbots for Sales Teams in 2024

To help you identify the best AI chatbot for your sales team, I've analyzed the top options based on key criteria:

• Ease of use and setup
• Conversational AI capabilities
• Integrations with CRMs and other sales tools
• Customization options
• Pricing and value ‍

Here’s a snapshot of the best sales AI chatbots. 

• Alltius - for every phase of the selling & admin process
• Gong - for sales calls analysis 
• Clay - for lead scraping 
• Otter ai - for sales meeting notes 
• Orum - for sales training using AI avatars 

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Alltius 

Alltius is a generative AI platform that allows sales teams to create skillful AI sales chatbots. 

With Alltius’ AI sales assistant software, your sales team can craft personalized sales pitches, outreach emails, cross-sell pitches in seconds, aligning perfectly with customer needs to improve conversion rates by 300% or more.

With Alltius, sales teams have an expert AI assistant to rely on for their calls and daily activities, reducing the need to be present in multiple channels at once. Alltius’ AI assistants are extremely easy to use and require no training to set up and maintain.

Core Features for Sales teams:

• Lead Qualification: Use Alltius AI sales assistant to score leads & identify ICP leads, thus helping to prioritize high-potential prospects.
• Personalized Outreach: Alltius’ AI sales assistant can use CRM data, previous emails and sales enablement content to craft personalized email which boosts conversion rates.
• Pitch Generation: Alltius can craft tailored pitches for the sales team based on prospect information, company documentation and use case details within seconds. 
• Objection Handling: Alltius provides the sales team with answers to all objections within seconds during the sales call. 

Pricing:

Alltius’ pricing depends on your requirements. In order to get a quote, please reach out to sales@alltius.ai. Or you can start a free trial (no credit cards required). 

Pros

• Alltius.ai emphasizes security and compliance with certifications like SOC 2 Type II and ISO 27001.
• Can be used by your team with minimal training and effort. 
• Can be set up in one-day. 
• Offers a free trial. 
• Completely customizable platform. 
• Offers white-label AI sales assistant software. 
• Product team has AI experts from CMU, Google, Amazon and more. 

Overall, Alltius.ai offers a powerful and versatile platform to equip your sales team with AI-powered superpowers.

Are you looking to use Gen AI in sales? 

Book a call to see how you can improve your sales by 3X within weeks. 

Gong 

Gong AI sales assistant

Gong is a comprehensive platform that automates the capture and analysis of customer interactions across various channels, empowering sales teams with actionable insights to enhance their strategies and performance.

Core Features:

• Automatic call recording and transcription.
• Sales conversation analysis for insights on performance and customer engagement.
• Deal tracking and revenue intelligence to optimize sales strategies.

Pricing: Gong tailors pricing to the team's size and needs.

Cons:

Based on reviews on different platforms, Gong’s AI sales chatbot users mention the following: 

• Some metrics, like 'calls listened to', can be misleading due to partial listens being counted as full listens.
• Limited CRM integration options, affecting seamless workflow integration.
• While highly beneficial for sales, some users wish for more tailored insights for Customer Success roles​

Clay

Clay AI sales assistant

Clay’s AI sales chatbot for sales teams helps sales professionals scrape leads and automate outbound efforts with a simple to use platform. Clay uses AI to write emails, enrich leads and more. 

Core Features:

• Lead Generation: Build targeted lead lists from over 50 data sources (LinkedIn, Github, Google Maps, etc.).
• Enrichment: Uncover valuable insights like contact information, social media profiles, and company details.
• Engagement: Automate outreach through email and social media, personalize messages, and track engagement.

Pricing:

• Free Plan: Basic features, limited data usage.
• Growth Plan: $49/month/user, unlimited data, advanced enrichment.
• Enterprise Plan: Custom pricing, additional features and integrations for large teams.

Cons:

• Clay’s users mentioned that there is a learning curve associated with the platform. 
• Clay’s AI sales chatbot platform is not a complete sales engagement platform.

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Otter.ai 

Otterai for sales teams

Otter.ai empowers businesses with automated, real-time transcription that transforms meetings, interviews, and presentations into actionable insights. We use it at Alltius too! 

Core Features:

• Effortless Transcription: Capture audio from any source (meetings, calls, videos) with high accuracy.
• Smart Collaboration: Share transcripts, assign action items, add comments, and collaborate with colleagues in real-time.
• Actionable Insights: Generate summaries, identify key speakers, and extract keywords to surface the most important points.

Pricing:

• Free Plan: Limited features, 30 minutes/month transcription.
• Pro Plan: $8.33/month, unlimited transcription, speaker identification.
• Business Plan: $20/month/user, advanced collaboration features, security controls.

Cons:

• Otter.ai still has issues capturing different accents and filtering background noises.
• Offline transcription not available.

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Second Nature 

Second Nature AI sales assistant

This AI-powered sales training platform simulates real-life customer interactions, providing personalized feedback and coaching to help reps hone their skills and close more deals.

Core Features:

• Virtual Pitch Partner: Engage in realistic sales conversations with an AI that adapts to your responses, highlighting strengths and weaknesses.
• Data-Driven Feedback: Receive in-depth analysis of your performance, including call scoring, objection handling, and value proposition delivery.
• Personalized Learning Paths: Track progress and access targeted training modules based on your individual needs and areas for improvement.

What We Like:

• G2 Crowd: "Second Nature has made our sales team more confident and prepared, leading to a significant increase in deals closed." This highlights the platform's effectiveness in boosting sales performance.

Pricing:

• Free Plan: Limited features, 1 hour/month of practice.
• Growth Plan: $75/user/month, unlimited practice, detailed feedback reports.
• Enterprise Plan: Custom pricing, advanced features, dedicated support.

Cons:

• Limited free plan: May not be suitable for large teams or extensive training needs.
• Requires internet connection: Offline practice not available.
• Focus on individual training: May not offer team collaboration features.

Benefits of using AI chatbots for sales

Sales AI assistants can do a lot - automate routine tasks, help in handling sales objections and pursue prospects. 

What else? Let’s take a deeper look into the benefits of using AI chatbots for sales teams. 

24/7 availability

One of the most significant advantages of AI chatbots is their round-the-clock availability. Unlike human sales reps who work set hours, chatbots can engage with prospects and customers at any time, day or night. Plus, studies show that AI sales chatbot can qualify leads with 51% accuracy as compared to 38% for human sales agents. 

This means you can capture leads and address inquiries even outside regular business hours, ensuring no opportunities slip through the cracks.

Instant responses & lead qualification

Customers expect quick answers to their questions. 

If a visitor lands up on your website and you reply within 5 minutes, you’re 100X more likely to get a better response than not doing so! 

AI chatbots excel at providing immediate responses to sales-related queries, keeping prospects engaged and moving smoothly through the sales funnel. 

Increase sales per representative 

Sales AI assistants can help sales representatives sell better. AI sales assistant software like Alltius helps sales teams convert 3X more deals by helping them create personalized and tailored pitches based on prospect needs. The AI sales assistant is connected to sales enablement documents along with the CRM information. Based on the prospect needs, Alltius creates a personalized pitch for every prospect, thus improving chances of conversion. 

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Better sales objection handling

“Let me get back to you once I ask the product team about this”. No one wants that, and when a sales representative does that, the sales cycle grows long and the prospect might lose interest! 

Alltius helps salespeople become the product experts of their company by combining the product knowledge into a sales assistant. Sales representatives can use this AI sales assistant to answer any kind of customer objections without a second’s delay and win customer trust. 

Increased sales productivity

Sales people spend around 60% of their time doing manual tasks like CRM data entry, lead qualification, and follow-up messages. AI sales agents can help them automate these routine tasks and free up sales reps to concentrate on what they do best: closing deals.

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These are a few ways in which sales teams can use an AI chatbot. 

Key features to look for in AI sales chatbots

Let’s look at some key features you should consider while onboarding a new AI sales chatbot for your sales teams. 

Natural language understanding

Natural language understanding (NLU) is a critical component of AI sales chatbots. It allows the chatbot to comprehend the user's messages, extract relevant information, and respond appropriately. NLU goes beyond simple keyword matching and uses machine learning algorithms to understand the context and intent behind the user's queries.

By 2025, 80% of customer service organizations will have abandoned native mobile apps in favor of messaging for a better customer experience.(Gartner)

This highlights the importance of NLU in enabling seamless, human-like conversations between chatbots and customers.

Personalization

Personalization is key to engaging customers and driving sales. AI sales chatbots can leverage customer data from CRM systems and other sources to provide tailored recommendations, offers, and support. By understanding the customer's preferences, purchase history, and behavior, chatbots can deliver a more relevant and engaging experience.

Personalization can reduce acquisition costs by as much as 50 percent, lift revenues by 5 to 15 percent, and increase the efficiency of marketing spend by 10 to 30 percent. (According to McKinsey & Company)

Personalization is not just a nice-to-have feature; it's a critical factor in driving sales success.

Integration with sales tools

AI sales chatbots should seamlessly integrate with your existing sales stack, including CRM systems, marketing automation platforms, and other key tools. This integration enables the chatbot to access customer data, update records, and trigger relevant actions based on the conversation.

Sales teams that incorporate AI into their process see a 50% increase in leads and appointments and a 60-70% reduction in call time. (Forrester Research)

Integration with sales tools is essential for realizing these benefits and streamlining the sales process.

Analytics and reporting

Analytics and reporting capabilities are essential for understanding the performance and impact of your AI sales chatbot. Look for chatbots that provide detailed insights into key metrics such as engagement rates, lead quality, conversion rates, and sales attribution.

High-performing sales teams are 1.5x more likely to base forecasts on data-driven insights.

Once you’ve implemented an AI sales chatbot, you need to map key chatbot performance metrics like:

• Engagement rate: The percentage of users who interact with the chatbot
• Conversion rate: The percentage of chatbot interactions that result in a desired action, such as scheduling a demo or making a purchase
• Average interaction duration: The average length of time users spend interacting with the chatbot

How to Implement an AI Chatbot for Your Sales Team?

Step 1: Define your goals

Before implementing an AI chatbot for your sales team, clearly define your goals. What do you want to achieve by integrating a chatbot into your sales process? Common goals include:

• Increasing lead generation and qualification
• Automating repetitive tasks to free up your sales team's time
• Providing 24/7 customer support and engagement
• Enhancing the overall customer experience

Take the time to discuss these goals with your sales team and stakeholders to ensure everyone is aligned. This will help guide your chatbot implementation strategy and ensure you select the right platform to meet your needs.

Step 2: Choose the right platform

With your goals defined, it's time to choose an AI chatbot platform that aligns with your requirements. Consider factors such as:

• Ease of use and implementation
• Integration capabilities with your existing tools (e.g., CRM, marketing automation)
• Natural language processing (NLP) and machine learning capabilities
• Customization options to match your brand voice and tone
• Analytics and reporting features to measure performance

Research and compare different AI chatbot platforms, focusing on those designed specifically for sales teams. Read reviews, watch demos, and request trials to get hands-on experience before making a decision.

In this guide, we’ll focus on setting up an AI sales chatbot with Alltius. 

Step 3: Create the AI sales chatbot

With Alltius, we’ll be making a conversational AI chatbot for the sales team that can create pitches for sales representatives within seconds. 

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Create a free account on Alltius and log into the interface. 

Go to coach assistants and click on + Create new. 

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A dialog box will open up. Name your new assistant and select create. 

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You’ll be redirected to your AI assistant page which showcases sources and other settings. Select + Add new source. 

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‍Here, add all your sales collaterals, sales enablement, product catalogs, web pages, previous emails, product documentation and more. You can also connect your CRM using the Integrations tab on the left. 

Step 4: Train and test

With your sales chatbot designed, now it’s time to test it out. Simulate various scenarios and conversations using “Playground” on the left. 

You can fine-tune your chatbot's responses by contacting our team. 

Rigorous testing and training will help ensure your chatbot is ready to engage with real prospects and customers, providing a smooth and helpful experience.

Step 5: Launch and monitor

Once your AI sales chatbot is trained and tested, it's time to launch it on your website or other sales channels. You can do that using Channels on the left hand side of the menu bar. 

However, your work doesn't end there. Continuously monitor your chatbot's performance and make data-driven optimizations.

• Track key metrics such as engagement rate, conversion rate, and customer satisfaction
• Analyze chat transcripts to identify areas for improvement in your chatbot's responses
• Regularly update your chatbot with new product information, promotions, or other relevant content
• Gather feedback from your sales team and customers to continuously refine your chatbot's performance

By continuously monitoring and optimizing your AI chatbot, you'll ensure it remains a valuable asset to your sales team, driving lead generation, qualification, and customer satisfaction.

Empower your sales team with AI chatbots in 2024

AI chatbots are revolutionizing the way sales teams engage with prospects and customers. They provide 24/7 support, instant responses, and improved lead qualification, ultimately boosting sales productivity.

To get started, define your goals, choose the right platform, and design your chatbot flow. Train, test, and monitor your chatbot to ensure it's delivering the best possible experience for your customers.

Which AI chatbot features are most important for your sales team's success? Consider natural language understanding, personalization, integration with sales tools, and robust analytics.

By implementing an AI chatbot tailored to your sales process, you'll be well-equipped to scale personalized engagement, close more deals, and stay ahead of the competition in 2024 and beyond. 

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Read more:

• How to make your own AI?
• Best AI sales assistant software in 2024
• Top AI customer support software
• Top customer service chatbots
• Top conversational AI platforms
• Best conversational AI platforms
• Best enterprise AI platforms 
• How to build conversational AI?

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