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18 of the Best AI Chatbots for 2023

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18 of the Best AI Chatbots for 2023

Whether on Facebook Messenger, their website, or even text messaging, more and more brands are leveraging chatbots to service their customers, market their brands, and even sell their products.

But, the if/then logic that powers many chatbots’ conversational abilities limits them from answering unique and new questions, which can hang your customer out to dry and leave them dissatisfied with your customer service.

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Fortunately, the next advancement in chatbot technology that can solve this problem is gaining steam — AI-powered chatbots. In this post, we’ll discuss what AI chatbots are and how they work and outline of the best AI chatbots to know about.

What is an AI chatbot?

An AI chatbot is a program within a website or app that uses machine learning (ML) and natural language processing (NLP) to interpret inputs and understand the intent behind a request. Chatbots can be rule-based with simple use cases or more advanced and handle multiple conversations.

The rise of language models like GPT and LaMDA (the podcast below discusses how they work) has made way for conversational AI chatbots with advanced capabilities that can mimic a human conversation style, find information online, and produce unique content.

Click here to listen to the full episode

The most important thing to know about an AI chatbot is that it combines ML and NLU to understand what people need and bring the best solutions. Some AI chatbots are better for personal use, like conducting research, and others are best for business use, like featuring a chatbot on your website.

With this in mind, we’ve compiled a list of the best AI chatbots for 2023. Read on to find the right one for you.

1. ChatSpot

Price: In Alpha for HubSpot users

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ChatSpot is HubSpot’s new conversational CRM bot.

Key Features

  • Chat-based commands help sales, marketing, and service professionals maximize productivity
  • Draft follow-up emails, compile analytics reports, or even prospect
  • Connects to HubSpot software and leverages your existing data

2. ChatGPT

Price: Free; ChatGPT Plus $20/month

best ai chatbot: chatgpt

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ChatGPT is OpenAI’s conversational chatbot powered by GPT-4.

Key Features

  • Uses natural language processing to understand the context of conversations to provide related and original responses in a human-like conversation
  • Multiple use cases for things like answering simple questions, ideating and getting inspiration, or generating new content (like a marketing email)
  • Improves over time as it has more conversations.

3. Bing Chat

Price: Free (requires Microsoft Edge)

best ai chatbot: bing

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Microsoft describes Bing Chat as an AI-powered co-pilot.

Key Features

  • Uses NLP and machine learning to understand conversation prompts
  • The compose feature can generate original written content and images, and its powerful search engine capabilities can surface answers from the web
  • It’s a conversational tool, so you can continue sending messages until you’re satisfied

4. Bard

Price: Free

bard

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Google’s Bard is a multi-use AI chatbot.

Key Features

  • Powered by Google’s LaMDA (instead of GPT)
  • Use it for things like brainstorming and ideation, drafting unique and original content, or getting answers to your questions
  • Connected to Google’s website index so it can access information from the internet

Note: The four chatbots mentioned above are conversational and generative bots best suited for internal business use for things like ideating, producing content, and getting answers to your queries. Below we’ll go over AI chatbots that are customer-facing.

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5. Kommunicate

Price: Start : $40 /mo; Grow: $100 /mo; Business: Custom Pricing

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Kommunicate is a human + Chatbot hybrid platform

Key Features

  • Conversational AI and NLP capabilities, which allow businesses to automate aspects of customer support, such as answering frequently asked questions or routing customers to the right support agent. 
  • Offers a range of integration options, allowing businesses to seamlessly incorporate it into their existing workflows.
  • provides advanced analytics and reporting capabilities, allowing businesses to track and analyze customer interactions and support metrics.

Kommunicate is a platform for real-time, proactive, and personalized support for growing businesses. It helps to engage with their customers across omnichannel channels.

6. HubSpot Chatbot Builder

Chatbot Builder with AI Integration - HubSpot

Free Chatbot Builder Software

HubSpot has a powerful and easy-to-use chatbot builder that allows you to automate and scale live chat conversations.

Key Features

  • Customers can get answers to frequently asked questions, book meetings, and navigate through your site.
  • Conversations are stored in your CRM so you can qualify leads and trigger automation flows.
  • Easy integration across your marketing, sales, and service tools because HubSpot is a CRM platform.

Keep in mind that HubSpot’s chat builder software doesn’t quite fall under the “AI chatbot” category of “AI chatbot” because it uses a rule-based system. However, HubSpot does have code snippets, allowing you to leverage the powerful AI of third-party NLP-driven bots such as Dialogflow.

7. Intercom

Price: Starts at $74/mo

AI Chatbot - Intercom

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Intercom’s rule-based chatbot lets you create segmented custom messages to share with audiences based on visitor behavior.

Key Features

  • It uses machine learning and behavioral data to respond to site visitors and provide a personalized experience.
  • Use your business data to train the bot to carry out tasks and provide answers relevant to your business.
  • Code-free builder to easily create a custom branded bot and leverage 250 out-of-the-box integrations.

8. Watson Assistant

Price: Free – $140/month

AI Chatbot - Watson Assistant

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IBM Watson Assistant is an AI-powered conversational bot that gives you impressive recommendations for further training so it gets better at its job.

Key Features

  • NLP and machine learning to gather context.
  • Train it with industry and business-specific data so it gives chatters business-relevant information.
  • It can run on your website, messaging channels, customer service tools, and mobile app, and you can quickly get started with the low-code builder.

9. Drift

Price: Contact for pricing

AI Chatbot - Drift

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Drift is an automation-powered conversational bot to help you communicate with site visitors based on their behavior.

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Key Features

  • Rule-based and AI chatbot with a classifier that categorizes conversations by context for more meaningful conversations.
  • Can handle context switching if the conversation flow or subject changes.
  • Customizable chat widget for mobile and desktop with helpful out-of-the-box integrations.

10. Infobip

Price: Contact for pricing

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Infobip’s chatbot building platform helps you design your ideal conversation flow with a drag-and-drop builder.

Key Features

  • AI and machine learning help you train your chatbot.
  • Rule and intent-based bots that understand the context of and replicate a conversational experience.
  • Omnichannel usability for WhatsApp, Facebook Messenger, Etc.

11. Botsify

Price: Starts at $49/month

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Botsify is an easy-to-use chatbot builder with multilingual capabilities.

Key Features

  • AI and ML-powered self-learning chatbot.
  • Use chatbot forms to gather visitor information for further nurturing.
  • Create a chatbot across six services (website, messenger, WhatsApp, Telegram, WordPress, and SMS).

12. Appy Pie Chatbot

Price: Starts at $6/per bot per month

appy pie chatbot

Appy Pie Chatbot helps you design a wide range of conversational chatbots with a no-code builder.

Key Features

  • GPT-3 powered intuitive chatbot with contextual understanding.
  • Leverages your business data to give accurate results to queries.
  • Deploy a chatbot on your website or mobile app.

13. Bold360

AI Chatbot - Bold360

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Bold360 helps brands build omnichannel chatbots to deliver business-related answers.

Key Features

  • NLP technology interprets complex language, remembers context, and generates natural responses.
  • Chatbot maintains your brand personality and uses your business information to have quality and relevant information.
  • Live agent chat routing for conversions that need a human touch.

14. Zendesk Answer Bot

Price: $49/per agent per month

AI Chatbot - Zendesk Chat

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Zendesk Answer Bot integrates with your knowledge base and leverages data to have quality, omnichannel conversations.

Key Features

  • Use Flow Builder to create custom AI-powered conversation flows.
  • Deep learning capabilities to contextualize conversations and understand intent.
  • Escalation to live agents who get insights and suggestions from AI to bring quick solutions.

15. Salesforce Einstein

Price: Available through cloud products

AI Chatbot - Salesforce Einstein

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Salesforce Einstein is a conversational bot that natively integrates with all Salesforce products.

Key Features

  • Powered by predictive intelligence and machine learning.
  • Builds contextual understanding and leverages existing Salesforce data to surface the best responses.
  • Routing to human agents for more pressing conversations.

16. LivePerson

Price: Contact for pricing

AI Chatbot - LivePerson

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LivePerson’s AI chatbot is built on 20+ years of messaging transcripts.

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Key Features

  • The intent manager leverages data to understand the context of conversations.
  • Create automated conversation flows across different messaging channels (website, mobile app, Apple Business Chat, etc.)
  • Point and click builder to quickly and seamlessly create your bot.

17. Inbenta

Price: Contact for pricing

AI Chatbot - Inbenta

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Inbenta’s chatbot uses a lexicon and semantic search engine to power conversations.

Key Features

  • Its chatbot leverages machine learning and Inbenta’s own NLP engine to detect the context of conversations.
  • Use the dialog manager to craft custom conversation paths.
  • Escalate conversations to live support agents across multiple channels (your website, Slack, etc.)

18. Ada

Price: Contact for pricing

AI Chatbot - Ada

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Ada is an automated AI chatbot with support for 50+ languages on key channels like Facebook, WhatsApp, and WeChat.

Key Features

  • Uses pre-trained machine learning models that you can refine to meet your business needs.
  • Intent detection understands context and uses profiles and metadata to personalize conversations.
  • Connected to your business’ crucial data to bring appropriate solutions.

Want to learn more about artificial intelligence? Check out this learning path.

Editor’s note: This post was originally published in March 2019 and has been updated for comprehensiveness.

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Lessons From Air Canada’s Chatbot Fail

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Lessons From Air Canada’s Chatbot Fail

Air Canada tried to throw its chatbot under the AI bus.

It didn’t work.

A Canadian court recently ruled Air Canada must compensate a customer who bought a full-price ticket after receiving inaccurate information from the airline’s chatbot.

Air Canada had argued its chatbot made up the answer, so it shouldn’t be liable. As Pepper Brooks from the movie Dodgeball might say, “That’s a bold strategy, Cotton. Let’s see if it pays off for ’em.” 

But what does that chatbot mistake mean for you as your brands add these conversational tools to their websites? What does it mean for the future of search and the impact on you when consumers use tools like Google’s Gemini and OpenAI’s ChatGPT to research your brand?

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AI disrupts Air Canada

AI seems like the only topic of conversation these days. Clients expect their agencies to use it as long as they accompany that use with a big discount on their services. “It’s so easy,” they say. “You must be so happy.”

Boards at startup companies pressure their management teams about it. “Where are we on an AI strategy,” they ask. “It’s so easy. Everybody is doing it.” Even Hollywood artists are hedging their bets by looking at the newest generative AI developments and saying, “Hmmm … Do we really want to invest more in humans?  

Let’s all take a breath. Humans are not going anywhere. Let me be super clear, “AI is NOT a strategy. It’s an innovation looking for a strategy.” Last week’s Air Canada decision may be the first real-world distinction of that.

The story starts with a man asking Air Canada’s chatbot if he could get a retroactive refund for a bereavement fare as long as he provided the proper paperwork. The chatbot encouraged him to book his flight to his grandmother’s funeral and then request a refund for the difference between the full-price and bereavement fair within 90 days. The passenger did what the chatbot suggested.

Air Canada refused to give a refund, citing its policy that explicitly states it will not provide refunds for travel after the flight is booked.

When the passenger sued, Air Canada’s refusal to pay got more interesting. It argued it should not be responsible because the chatbot was a “separate legal entity” and, therefore, Air Canada shouldn’t be responsible for its actions.

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I remember a similar defense in childhood: “I’m not responsible. My friends made me do it.” To which my mom would respond, “Well, if they told you to jump off a bridge, would you?”

My favorite part of the case was when a member of the tribunal said what my mom would have said, “Air Canada does not explain why it believes …. why its webpage titled ‘bereavement travel’ was inherently more trustworthy than its chatbot.”

The BIG mistake in human thinking about AI

That is the interesting thing as you deal with this AI challenge of the moment. Companies mistake AI as a strategy to deploy rather than an innovation to a strategy that should be deployed. AI is not the answer for your content strategy. AI is simply a way to help an existing strategy be better.

Generative AI is only as good as the content — the data and the training — fed to it.  Generative AI is a fantastic recognizer of patterns and understanding of the probable next word choice. But it’s not doing any critical thinking. It cannot discern what is real and what is fiction.

Think for a moment about your website as a learning model, a brain of sorts. How well could it accurately answer questions about the current state of your company? Think about all the help documents, manuals, and educational and training content. If you put all of that — and only that — into an artificial brain, only then could you trust the answers.

Your chatbot likely would deliver some great results and some bad answers. Air Canada’s case involved a minuscule challenge. But imagine when it’s not a small mistake. And what about the impact of unintended content? Imagine if the AI tool picked up that stray folder in your customer help repository — the one with all the snarky answers and idiotic responses? Or what if it finds the archive that details everything wrong with your product or safety? AI might not know you don’t want it to use that content.

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ChatGPT, Gemini, and others present brand challenges, too

Publicly available generative AI solutions may create the biggest challenges.

I tested the problematic potential. I asked ChatGPT to give me the pricing for two of the best-known CRM systems. (I’ll let you guess which two.) I asked it to compare the pricing and features of the two similar packages and tell me which one might be more appropriate.

First, it told me it couldn’t provide pricing for either of them but included the pricing page for each in a footnote. I pressed the citation and asked it to compare the two named packages. For one of them, it proceeded to give me a price 30% too high, failing to note it was now discounted. And it still couldn’t provide the price for the other, saying the company did not disclose pricing but again footnoted the pricing page where the cost is clearly shown.

In another test, I asked ChatGPT, “What’s so great about the digital asset management (DAM) solution from [name of tech company]?” I know this company doesn’t offer a DAM system, but ChatGPT didn’t.

It returned with an answer explaining this company’s DAM solution was a wonderful, single source of truth for digital assets and a great system. It didn’t tell me it paraphrased the answer from content on the company’s webpage that highlighted its ability to integrate into a third-party provider’s DAM system.

Now, these differences are small. I get it. I also should be clear that I got good answers for some of my harder questions in my brief testing. But that’s what’s so insidious. If users expected answers that were always a little wrong, they would check their veracity. But when the answers seem right and impressive, even though they are completely wrong or unintentionally accurate, users trust the whole system.

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That’s the lesson from Air Canada and the subsequent challenges coming down the road.

AI is a tool, not a strategy

Remember, AI is not your content strategy. You still need to audit it. Just as you’ve done for over 20 years, you must ensure the entirety of your digital properties reflect the current values, integrity, accuracy, and trust you want to instill.

AI will not do this for you. It cannot know the value of those things unless you give it the value of those things. Think of AI as a way to innovate your human-centered content strategy. It can express your human story in different and possibly faster ways to all your stakeholders.

But only you can know if it’s your story. You have to create it, value it, and manage it, and then perhaps AI can help you tell it well. 

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Cover image by Joseph Kalinowski/Content Marketing Institute

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Only 6% of global marketers apply customer insights to product and brand

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Only 6% of global marketers apply customer insights to product and brand

While many brands talk about focusing on the customer, few do it. Less than a quarter (24%) of global brands are mapping customer behavior and sentiment, according to Braze’s 2024 Customer Engagement Review. What’s worse, only 6% apply customer insights to their product and brand approach.

“At the end of the day, a lot of companies operate based on their structure and not how the consumer interacts with them,” Mariam Asmar, VP of strategic consulting, told MarTech. “And while some companies have done a great job of reorienting that, with roles like the chief customer officer, there are many more that still don’t. Cross-channel doesn’t exist because there are still all these silos. But the customer doesn’t care about your silos. The customer doesn’t see silos. They see a brand.”

Half of all marketers report either depending on multiple, siloed point solutions to cobble together a multi-channel experience manually (33%); or primarily relying on single-channel solutions (17%).  Only 30% have access to a single customer engagement platform capable of creating personalized, seamless experiences across channels. This is a huge problem when it comes to cross-channel, personalization.

The persistence of silos

The persistence of data silos despite decades of explanation about the problems they cause, surprised Asmar the most.

Screenshot 2024 02 27 140015
Source: Braze 2024 Global Customer Engagement Review

“Why are we still talking about this?” she said to MarTech. “One of the themes I see in the report is we’re still getting caught up on some of the same stumbling blocks as before.”

She said silos are indicative of teams working on different goals and “the only way that gets unsolved is if a leader comes in and aligns people towards some of those goals.”

These silos also hinder the use of AI, something 99% of respondents said they were already doing. The top uses of AI by marketers are:

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  • Generating creative ideas (48%).
  • Automating repetitive tasks (47%).
  • Optimizing strategies in real-time (47%).
  • Enhancing data analysis (47%).
  • Powering predictive analytics (45%).
  • Personalizing campaigns (44%). 

Despite the high usage numbers, less than half of marketers have any interest in exploring AI’s potential to enhance customer engagement. Asmar believes there are two main reasons for this. First is that many people like the systems they know and understand. The other reason is a lack of training on the part of companies.

Dig deeper: 5 ways CRMs are leveraging AI to automate marketing today

“I think about when I was in advertising and everybody switched to social media,” she told MarTech. “Companies acted like ‘Well, all the marketers will just figure out social media.’ You can’t do that because whenever you’re teaching somebody how to do something new there’s always a level of training them up, even though they’re apps that we use every day, as people using them as a business and how they apply, how we get impact from them.”

The good news is that brands are setting the stage for the data agility they need.

  • 50% export performance feedback to business intelligence platforms to generate advanced analytics.
  • 48% sync performance with insights generated by other platforms in the business.

Also worth noting: Marketers say these are the four main obstacles to creativity and strategy:  

  • Emphasis on KPIs inherently inhibits a focus on creativity (42%).
  • Too much time spent on business-as-usual execution and tasks (42%).
  • Lack of technology to execute creative ideas, (41%).
  • Hard to demonstrate ROI impact of creativity (40%).
Screenshot 2024 02 27 135952Screenshot 2024 02 27 135952

Methodology

The 2024 Global Customer Engagement Review (registration required) is based on insights from 1,900 VP+ marketing decision-makers across 14 countries in three global regions: The Americas (Brazil, Mexico, and the US), APAC (Australia, Indonesia, Japan, New Zealand, Singapore, and South Korea), and EMEA (France, Germany, Spain, the UAE, and the UK).

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Crafting Effortless Sales Through ‘Wow’ Moments in Experience Marketing

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Crafting Effortless Sales Through 'Wow' Moments in Experience Marketing

Crafting Effortless Sales Through Wow Moments in Experience Marketing

In an era where consumers are bombarded with endless choices and digital noise, standing out as a brand is more challenging than ever. Enter experience marketing – a strategy that transcends traditional advertising by focusing on creating immersive, memorable interactions. This innovative approach leverages the elements of surprise, delight, and reciprocity to forge strong emotional connections with customers, making the sale of your core product feel effortless. But how can businesses implement this strategy effectively? This guide delves into the art of crafting ‘wow’ moments that captivate audiences and transform customer engagement.

The Basics of Experience Marketing

Experience marketing is an evolved form of marketing that focuses on creating meaningful interactions with customers, aiming to elicit strong emotional responses that lead to brand loyalty and advocacy. Unlike conventional marketing, which often prioritizes product promotion, experience marketing centers on the customer’s holistic journey with the brand, creating a narrative that resonates on a personal level.

In today’s competitive market, experience marketing is not just beneficial; it’s essential. It differentiates your brand in a crowded marketplace, elevating your offerings beyond mere commodities to become integral parts of your customers’ lives. Through memorable experiences, you not only attract attention but also foster a community of loyal customers who are more likely to return and recommend your brand to others.

Principles of Experience Marketing

At the heart of experience marketing lie several key principles:

  • Emotional Connection: Crafting campaigns that touch on human emotions, from joy to surprise, creating memorable moments that customers are eager to share.
  • Customer-Centricity: Putting the customer’s needs and desires at the forefront of every marketing strategy, ensuring that each interaction adds value and enhances their experience with the brand.
  • Immersive Experiences: Utilizing technology and storytelling to create immersive experiences that captivate customers, making your brand a living part of their world.
  • Engagement Across Touchpoints: Ensuring consistent, engaging experiences across all customer touchpoints, from digital platforms to physical stores.

Understanding Your Audience

Before diving into the intricacies of crafting ‘wow’ moments, it’s crucial to understand who you’re creating these moments for. Identifying your audience’s pain points and desires is the first step in tailoring experiences that truly resonate.

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This involves deep market research, customer interviews, and leveraging data analytics to paint a comprehensive picture of your target demographic. By understanding the journey your customers are on, you can design touchpoints that not only meet but exceed their expectations.

  • Identifying Pain Points and Desires: Use surveys, social media listening, and customer feedback to gather insights. What frustrates your customers about your industry? What do they wish for more than anything else? These insights will guide your efforts to create experiences that truly resonate.
  • Mapping the Customer Journey: Visualize every step a customer takes from discovering your brand to making a purchase and beyond. This map will highlight critical touchpoints where you can introduce ‘wow’ moments that transform the customer experience.

Developing Your Experience Marketing Strategy

With a clear understanding of your audience, it’s time to build the framework of your experience marketing strategy. This involves setting clear objectives, identifying key customer touchpoints, and conceptualizing the experiences you want to create.

  • Setting Objectives: Define what you aim to achieve with your experience marketing efforts. Whether it’s increasing brand awareness, boosting sales, or improving customer retention, having clear goals will shape your approach and help measure success.
  • Strategic Touchpoint Identification: List all the potential touchpoints where customers interact with your brand, from social media to in-store experiences. Consider every stage of the customer journey and look for opportunities to enhance these interactions.

Enhancing Customer Experiences with Surprise, Delight, and Reciprocity

This section is where the magic happens. By integrating the elements of surprise, delight, and reciprocity, you can elevate ordinary customer interactions into unforgettable experiences.

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  • Incorporating Surprise and Delight: Go beyond what’s expected. This could be as simple as a personalized thank-you note with each purchase or as elaborate as a surprise gift for loyal customers. The key is to create moments that feel special and unexpected.
  • Applying the Principle of Reciprocity: When customers receive something of value, they’re naturally inclined to give something back. This can be leveraged by offering helpful resources, exceptional service, or customer appreciation events. Such gestures encourage loyalty and positive word-of-mouth.
  • Examples and Case Studies: Highlight real-world examples of brands that have successfully implemented these strategies. Analyze what they did, why it worked, and how it impacted their relationship with customers.

Best Practices for Experience Marketing

To ensure your experience marketing strategy is as effective as possible, it’s important to adhere to some best practices.

  • Personalization at Scale: Leverage data and technology to personalize experiences without losing efficiency. Tailored experiences make customers feel valued and understood.
  • Using Technology to Enhance Experiences: From augmented reality (AR) to mobile apps, technology offers myriad ways to create immersive experiences that surprise and engage customers.
  • Measuring Success: Utilize analytics tools to track the success of your experience marketing initiatives. Key performance indicators (KPIs) could include engagement rates, conversion rates, and customer satisfaction scores.

Section 5: Overcoming Common Challenges

Even the best-laid plans can encounter obstacles. This section addresses common challenges in experience marketing and how to overcome them.

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  • Budget Constraints: Learn how to create impactful experiences without breaking the bank. It’s about creativity, not just expenditure.
  • Maintaining Consistency: Ensuring a consistent brand experience across all touchpoints can be daunting. Develop a comprehensive brand guideline and train your team accordingly.
  • Staying Ahead of Trends: The digital landscape is ever-changing. Stay informed about the latest trends in experience marketing and be ready to adapt your strategy as necessary.

The Path to Effortless Sales

By creating memorable experiences that resonate on a personal level, you make the path to purchase not just easy but natural. When customers feel connected to your brand, appreciated, and valued, making a sale becomes a byproduct of your relationship with them. Experience marketing, when done right, transforms transactions into interactions, customers into advocates, and products into passions.

Now is the time to reassess your marketing strategy. Are you just selling a product, or are you providing an unforgettable experience? Dive into the world of experience marketing and start creating those ‘wow’ moments that will not only distinguish your brand but also make sales feel effortless.


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