The Complete Guide To The Best AI Chatbots

This guide explores the top AI chatbot options available, helping you understand and choose the best one for your business needs.

By Leadmate • February 7, 2024
The Best AI Chatbots

In November 2022, OpenAI made ChatGPT available to the public, and the chatbot, based on a large language model, took over the world. It also ushered in a new era of both conversational AI and generative AI, with each company working and tinkering with machine learning algorithms, working overtime just to launch their product to the market.

This gave rise to a mass of AI-powered tools, some of which are aimed at the general population, while others are aimed at professional applications. But chatbots remain among the most popular examples of artificial intelligence, precisely due to their ability to understand context and provide context-related answers to specific inquiries. 

This made them invaluable to nearly everyone with an internet connection, with some using AI chatbots for work, while others use them to study and learn new things, and there are those who use them purely for entertainment purposes. Apparently, chatbots have access to the world’s largest collection of jokes. 

Regardless of why you’re using AI chatbots, choosing the best possible option on the market offers its perks, but choosing the right one tends to be a bit difficult when the market is saturated. The aim of this guide is to introduce you to some of the best AI chatbot solutions in 2025. 

A Brief History of Chatbots

Most people refer to ChatGPT as the original chatbot, but that’s not actually true. The first chatbot ever made was ELIZA; it was developed at the MIT Artificial Intelligence Laboratory in the mid-1960s. It was one of the first examples of natural language processing in computing and one of the most significant milestones in the development of artificial intelligence technologies. 

ELIZA was followed by PARRY, which was developed in the early 1970s and was the first AI chatbot capable of contextual understanding. It was designed to simulate a paranoid schizophrenic, and it even successfully convinced a group of psychiatrists that it was real 52% of the time. What’s even more interesting is that it communicated with ELIZA via the ARPANET (early internet) and proved to be a superior program. 

ChatGPT isn’t without its merits; it represents a significant advancement in the development of artificial intelligence technologies, primarily due to more advanced contextual understanding capabilities and human-like responses.

The Best AI Chatbots

In this section, we’ll discuss some of the best AI chatbots on the current market, including their additional features, pricing plans, and everything else you might want to know when deciding on which AI chat robot to use. Let’s start with the most famous one.

Open AI ChatGPT

ChatGPT

Following its release in late 2022, ChatGPT took the world by storm in 2023 and put AI not just in the public focus but in newspaper and online news outlet headlines; long-form articles associated with ChatGPT have become a weekly occurrence. 

The chatbot is really user-friendly: simply sign up using your personal email, and you’ll gain access to OpenAI’s most basic ChatGPT model, GPT-3.5. It’s a very fast model capable of contextualizing customer queries and multilingual human-like conversations, and it’s really great for most use cases. 

You just type in your query at the chat box located at the bottom of the page, and the AI will provide you with an output. It will also create an entry in the left-hand-side menu, allowing you to keep your conversations regarding different topics separate. 

However, it’s known to output factually incorrect information, which is inherent in its design, primarily due to the massive amount of data that’s been used in its training. Regardless, its release made ChatGPT an industry leader, at least for the time being. Even Microsoft partnered with them for their AI solutions, equipping GPT with real-time analysis through the Bing Search Engine.

As impressive as the GPT-3.5 model is, it can’t really compare to OpenAI’s GPT-4 model, which sacrifices speed for improved cognition and user experience. It’s trained on a much larger dataset, it’s even more accurate in its output, and it can interpret different data inputs, not just text. 

This makes it a fantastic content creation AI tool that’s not only based on text. For example, you can easily paste an image, and it will understand its contents. Additionally, OpenAI integrated DALL-E into ChatGPT, enabling its latest model to have text-to-image generations. It’s worth mentioning that the GPT-4 model and DALL-E can’t be accessed by free users but only by ChatGPT Plus subscribers, who have to shell out $20 per month for access. 

On top of everything above, ChatGPT has its own iOS and Android mobile apps and provides automation integrations with some of the biggest workflow services on the current market, such as Leadmate.

Google Gemini

Google Gemini

Google isn’t really a novice when it comes to AI development, and the company developed one of the most advanced AI assistants in the world (the Google Assistant) which is currently powering more than 10,000 different devices across 1,000 different brands. 

However, the company hit a major bump on the road during the development of Google Bard, which caused it to abandon its LaMDA model and shift its focus to PaLM 2. While it can’t really compare to ChatGPT and Claude, at least not yet, Bard has its selling points. 

One of its key features is that it can output Google Image Search results in the chat window, keep track of your conversation history, and allow you to edit your prompts and share your conversations with others via a link generator.

Another selling point is its integration with Google services, including email accounts, Hotels, Flights, and even YouTube. This has numerous benefits, as it allows users to search and filter through their email more effectively, check real-time information about ongoing flights, and check hotel prices.

Claude

Claude

Claude is yet another fantastic AI chatbot, and while it might not be as advanced as ChatGPT, it has the longest contextual memory. In other words, it can ingest much more text, derive contextual information, and provide a contextual response. 

For comparison, while ChatGPT has a contextual memory of some 12,000 words (give or take, depending on the word processor), Claude offers more than five times as much, going as high as 75,000 words of contextual memory; some sources claim that this number goes as high as 200,000 words. 

Thanks to its large contextual memory, it can provide more extensive summarization, especially if you’re dealing with lengthy documents. However, it tends to provide more concise and precise responses compared to ChatGPT, especially the GPT-4, which apparently likes bulleted and numbered listicles, which only reinforces its selling point. 

It’s a really good ChatGPT alternative that’s also capable of processing several languages, translating, forecasting, and document comparison. The latter is particularly useful for writers dealing with multiple revisions of their works and documents. 

Just like the best chatbot (we’re referring to GPT), Claude is also available for enterprise use, with the company offering a 2× reduction in AI hallucinations. The Pro plan is somewhat pricier compared to ChatGPT, sitting at $24/month.

Copilot

Microsoft Copilot

As previously mentioned, Microsoft invested heavily in OpenAi. Following their investment, the company pulled the plug on Cortana, its AI-powered virtual assistant that shipped out with Windows products, only to replace it with a new AI: GPT-4. 

Microsoft implemented GPT-4 into its Bing Search Engine and subsequently into its Copilot feature, which is now accessible to everyone using Microsoft’s Edge internet browser, which surprisingly works really well. 

Copilot is now capable of content generation, contextual internet search (with lined citations), plenty of contextual understanding and memory, and conversational memory, much like ChatGPT. 

Microsoft also integrated OpenAI’s DALL-E image generator, allowing users to generate images straight in their internet browser software or by summoning the Windows Copilot, which now ships integrated into Windows 11 OS. 

One of the best selling points for Microsoft’s Copilot is the fact that it brings GPT-4 and DALL-E integrations completely for free to Windows 11 users.

Meta Llama 3

Llama 3

Meta, the famously rebranded Facebook social media company, also entered an AI race, but in a rather interesting way. Instead of making a commercial chatbot and hiding it behind a subscription, Meta decided to launch its own AI modern with a near-open-source framework. 

This allows users to use the chatbot and tweak its functions for free or until they hit a revenue limit that’s exorbitantly high for regular users. It’s actually implemented to prevent the competitors from using Meta’s LLM. 

However, typical users can’t really peek into the development of this AI model, which is why it isn’t entirely regarded as open-source software. The integration with different platforms is mostly reserved for developers, but regular users can still test the AI chatbot and see how it responds to user inquiries. 

Llama 3’s output feels more direct and somewhat rougher than that of other chatbots. The standard model is deployment-ready for tweaking and specialization per user’s need, and the implementation offers a typical chatbot experience with somewhat limited capabilities. 

However, its licensing framework is what’s really making it stick out, especially for developers adjacent to Meta who might be looking to implement an AI solution into their particular application.

Pi

Pi

Pi is an AI chatbot model that’s engaging, entertaining, and rather supportive. It’s not really tuned for longer conversations, and it loves asking questions rather than answering them, which makes it “cute,” for lack of a better word. 

It’s not really meant for any productivity work either, but considering that it’s entirely free and quite fun to use, we’d say that it’s the perfect AI model for someone who has never come in touch with AI chatbots or generative AI. 

If you provide it with your name and phone number, PI will occasionally message you to check in and catch up, though this feature is region-locked at the moment.

Poe

Poe

Poe is a revolutionary AI chatbot, consistently demonstrating its prowess in various arenas. Poe’s proficiency lies in its ability to understand and respond intelligently to user queries, making it an invaluable asset to businesses.

This AI chatbot has been engineered with advanced machine learning technology, enabling it to learn from every interaction, thereby enhancing its knowledge base and response accuracy over time. It has the capability to handle unlimited chats simultaneously, which makes it efficient and cost-effective compared to human agents who can manage only a limited number of interactions at a time. This functionality ensures that no customer is left waiting, hence improving customer experience.

Furthermore, Poe excels in data analysis by gathering and analyzing large volumes of data from customer interactions. This provides businesses with valuable insights for decision making and strategy planning. According to studies, businesses using Poe have reported a 40% increase in customer engagement rates and a 30% boost in lead generation.

It can be seamlessly integrated with other platforms like CRM systems used by the business, ensuring smooth data flow and operational efficiency.

Poe is more than just an AI chatbot; it’s a smart investment for businesses seeking to improve their customer service while gaining crucial market insights.

Perplexity

Perplexity

Perplexity, an advanced AI chatbot, is revolutionizing the digital landscape with its impeccable capabilities and robust features. The bot’s sophisticated technology can manage unlimited chats simultaneously, providing immediate automated responses to common queries and enhancing customer satisfaction. Known for its lead generation prowess, Perplexity can ask pertinent questions to website visitors, helping businesses generate valuable leads.

This AI chatbot is also a potent tool for data analysis. It can gather and analyze vast amounts of data from customer interactions, providing businesses with valuable insights for decision making. Alongside this, Perplexity offers booking appointment features and traffic direction capabilities.

In terms of integration capabilities, Perplexity stands out. It can be seamlessly integrated with other platforms used by the business, ensuring a smooth data flow and improved operational efficiency. Moreover, due to its advanced features and ongoing training capabilities, it delivers superior value compared to other free chatbots available.

In 2024 alone, Perplexity’s predictive models and machine learning functionalities have become standard features in chatbots, offering personalized experiences that anticipate customer needs. Its advanced capabilities have led to higher costs but also a higher return on investment due to improved efficiency and better customer engagement. This underscores that while the initial expenses might seem high, the long-term benefits of using Perplexity outweigh them significantly.

Summary

AI chatbots are great pieces of cloud-based software with a plethora of different applications. You can ask them to write you a story, tell you a joke, help you out with homework, or provide you with cooking instructions. 

However, their applications aren’t limited to personal and non-commercial use alone; more and more businesses are integrating chatbots and other AI models into their daily operations, as artificial intelligence technologies help with not only productivity but also customer experience, thanks to the immense contextual understanding they now feature.

Let’s start by talking about lead qualification. It’s an essential part of effective lead management strategies, playing a crucial role in the sales and marketing process. Without lead qualification, we would be overwhelmed with potential customers and unsure of who to focus on.

But here’s the thing: Lead qualification is not easy. It’s a complex process that takes time, effort, and a deep understanding of your target audience. And even then, it’s not always perfect.

We live in a world where technology is constantly changing, shaping our lives and businesses. One technology that has the potential to transform lead qualification is Artificial Intelligence (AI). And yes, you’re right — AI can change how we approach lead qualification.

AI has the ability to make this process more efficient and accurate. It can analyze large amounts of data quickly, identifying those high-quality leads that are most likely to convert into customers.

So get ready! In this article, we’ll explore how AI can automate your lead qualification process. Whether you’re new to AI or looking for ways to use it more effectively, there’s something here for you. Let’s begin this journey towards better sales and marketing!

Table of Contents

The Challenges of Traditional Lead Qualification

Imagine the task of sifting through countless leads, trying to distinguish between those ready to convert and those needing more nurturing. This is the reality for businesses relying on traditional lead qualification methods. Manual lead qualification, although a tried-and-tested approach, has its fair share of limitations.

1. Time-Consuming Nature

Let’s start with time – the most precious resource in any business. Traditional lead qualification requires a significant amount of it. Sales reps spend hours, if not days, manually reviewing and categorizing leads. They painstakingly evaluate each lead based on various criteria such as behavioral data, interaction history, and demographic information. The process becomes even more laborious when dealing with high volumes of leads.

2. Prone to Errors

Humans are fallible beings – we make mistakes. The same applies to manual lead qualification. Subjective evaluations can vary from person to person, leading to inconsistencies in how leads are classified. A lead deemed unqualified by one sales rep might be considered ready-to-buy by another. This lack of standardization can result in missed opportunities or wasted efforts on low-quality leads.

3. Lack of Scalability

As businesses grow and the volume of incoming leads increases, manual processes become unsustainable. They simply can’t keep up with the influx. There’s a limit to how many leads a single sales rep can effectively manage at once. Beyond this point, accuracy suffers and leads slip through the cracks.

4. Maintaining Accuracy and Efficiency

The overarching challenge here is striking a balance between accuracy and efficiency in lead qualification. With manual methods, it’s often a case of sacrificing one for the other. If you aim for accuracy by thoroughly evaluating each lead, you compromise on efficiency due to the time-consuming nature of the process. Conversely, if you opt for speed by skimming through leads swiftly, you risk inaccuracies in your assessment.

In essence, traditional lead qualification methods, while still valuable in some contexts, pose significant challenges when it comes to handling large volumes of leads accurately and efficiently. This brings us to the question: Is there a better way? Can technology offer a solution that improves both the speed and accuracy of lead qualification? In the next section, we delve into how Artificial Intelligence (AI) is revolutionizing this process.

Understanding AI in Lead Qualification

Artificial intelligence, or AI, is no longer a futuristic concept. It’s here and it’s revolutionizing industries across the board, including marketing and sales. The term ‘AI’ refers to machines or systems that mimic human intelligence—learning from experiences, adapting to new inputs, and performing tasks that normally require human intellect.

In the realm of lead qualification, AI comes into play by employing advanced algorithms to sift through extensive data sets. This ability enables AI systems to spot patterns and trends that are beyond human capacity due to sheer volume or complexity. By making sense of this multitude of data points, AI can generate informed predictions to guide decision-making.

How AI Works in Lead Qualification

A central component of AI is machine learning. This aspect allows systems to learn from past experiences and progressively improve their performance. Within the context of lead qualification, machine learning can be instrumental in comprehending what makes a lead ‘qualified’. Over time, these systems gain a nuanced understanding of factors such as:

  • The industry sector of the prospect
  • Their role within the company
  • The company size
  • The geographic location

And many other parameters that contribute towards lead scoring. With each interaction, machine learning models adapt and refine their predictions, resulting in a more accurate identification of sales-ready leads.

Another powerful tool at the disposal of AI is predictive analytics. It involves using statistical models and forecasting techniques to make educated guesses about future outcomes based on historical data trends. Applying this technique to lead qualification allows businesses to ascertain the quality and potential value of leads.

For instance, if certain behaviors—like email open rates, website visits frequency, or product demo requests—have historically been associated with high-value customers, predictive analytics can flag leads exhibiting similar behavior as high-quality ones.

This glimpse into AI’s capabilities in enhancing lead qualification processes paints a vivid picture of its transformative potential. By leveraging data, algorithms, machine learning, and predictive analytics, businesses can automate the previously labor-intensive task of lead qualification. This shift not only saves time but also boosts accuracy and scalability in handling large volumes of leads.

Best AI Personal Assistants

AI personal assistants are most commonly found as software implementations in consumer electronics, including smartphones, smart home devices and appliances, personal computers and tablets, and even cars. 

They’re great for general use, often covering a range of different tasks, like managing schedules, setting reminders, providing real-time information, conducting quick online searches, providing directions (though various navigation apps), and playing multimedia; they can play your favorite podcast while you’re driving. Here are some of the best AI Personal Assistants.

Siri

Ever since it was integrated into the iPhone 4S in 2011, Siri has become the world’s first and best-known personal assistant to hit the market. Thanks to a rather successful integration into Apple’s iOS, Apple integrated Siri into its other platforms, including macOS, watchOS, iPadOS, and even tvOS.

Siri relies on voice recognition algorithms to respond to users’ questions, make recommendations, identify songs, manage schedules and meetings, and provide driving directions. In fact, it’s great for both personal and professional use, and it’s entirely free since it often ships preloaded onto your Apple device.

Amazon Alexa

Thanks to its fantastic set of features and integrations, Amazon Alexa didn’t take long to become a household name. This voice assistant is often preloaded into numerous Amazon devices, including Echo, Fire, and Ring devices. 

Alexa is great with voice interaction, NLP, voice queries, setting up alarms, playing audiobooks, telling jokes, and providing users with various real-time information. What really sets it apart is that it can communicate with other smart-enabled devices as long as they’re compatible with Amazon’s ecosystem. It’s entirely free since it’s preloaded into Amazon devices.

Google Assistant

Google took its sweet time coming to the market with its AI voice-activated assistant, but it really paid off. The system is one of the most advanced AI-powered virtual assistants from one of the world’s leading companies. 

Thanks to Google’s numerous partnerships with other companies, Google Assistant is currently working on more than 10,000 different types of consumer electronics produced by more than 1,000 different brands. It offers everything Alexa and Siri offer, with added benefits, such as real-time language translation powered by Google.

Cortana

Microsoft’s Cortana, a now discontinued AI assistant that got its name from one of Microsoft’s video games, was a direct response to Apple’s Siri. The AI relies on NLP, the Bing search engine, and various forms of data processing to come up with personalized recommendations. 

It was a really powerful AI assistant that was the all-seeing eye of the Windows PC platform; it enhanced productivity, it played emails, and it was everything Microsoft envisioned. MS partnered with Amazon, and both Cortana and Alexa were able to integrate into one another.
However, the vast section of personal users didn’t really require Cortana, and the AI was put to rest at the end of 2023, with Microsoft shifting its focus towards other forms of AI-driven solutions.

Best AI Work Assistants

AI work assistants, or AI-powered productivity tools, are specifically designed to help with various professional tasks using machine precision and efficiency. They’re mostly used in a professional capacity to enhance efficiency, automate routine tasks, and improve your overall productivity at work. Here are some of the best AI work assistants on the current market:

Leadmate

Leadmate is among the best all-around tools for businesses. This AI-powered assistant offers unparalleled automation in terms of performing various tasks, such as making phone calls, text messages, and taking web leads for your business. Leadmate can also live transfer, schedule appointments, and generate follow-ups automatically, eliminating the need to hire staff. It’s a great all-around AI-powered solution aimed at businesses.

Motion AI

Motion relies on artificial intelligence to create to-do lists. However, if you think that this tool could be replaced by a much cheaper notepad that would fit in your back pocket, the Motion offers a few additional surprises. 

Motion offers several features other than just to-do lists; it’s also a project manager, a task manager, a meetings assistant, and a personal calendar. On top of that, it also offers plenty of integration with other platforms, such as Google Assistant.

What makes Motion better than simple to-do lists is its task automatization and prioritization. Namely, you assign different priorities to different tasks, and Motion will plan your day so you can get everything done.

Fireflies AI
Otter AI

Otter AI is another fantastic transcription tool that takes transcription to completely new levels. It not only records, but also writes notes, automatically captures slides, and generates summaries. It’s a fantastic tool, especially since its note-taking capabilities and the fact that it can be synced with Google Calendar or Microsoft Outlook allow it to automatically join any meeting on Zoom, Google Meet, and Microsoft Teams.

The note-taking and slide-capturing features work in conjunction with one another, as Otter captures slides and automatically inserts them into captured notes, providing more context of the meeting and the content discussed therein. After the meeting concludes, Otter will generate an email summary and send it to all participants, allowing them to revisit the entire transcript of the said meeting.

Best AI Writing Assistants

Generative AI has been at the forefront of content creation for quite some time, especially among writers. However, not all tools fit the same description; while some are capable of generating fantastic SEO-friendly marketing copy, others are used as mere grammar-checking tools with re-write suggestions. Here are some of the best AI writing assistants:

Jasper
Rytr

Much like Jasper, Ryter also generates grammatically correct and SEO-friendly textual content based on user prompts. However, its main strength lies in its rewrite tool, which allows you to paste the content of your choice. Rytr will rephrase it and check the results for plagiarism and grammar while also ensuring that the output is SEO-friendly. 

In fact, it will create several different versions of the piece, depending on the tone and voice you selected, of which there are 20. Besides writing and rephrasing content, Rytr also performs all of these functions on top of a translate function, which basically allows you to translate the text into more than 30 different languages while still maintaining quality and SEO.

Writesonic

Just like Jasper and Rytr, WriteSonic also generates SEO-friendly copy in different formats, ranging from social media ads to landing pages and long-form blog posts and articles. It’s a fantastic marketing copy tool that provides dramatically correct, plagiarism-free content for its users. 

On top of copywriting, the company behind WriteSonic also offers an integrated tool capable of generating art (PhotoSonic), a customer support bot called BotSonic, and ChatSonic, a chatbot assistant that’s powered by GPT-4.

Grammarly

Grammarly is perhaps one of the best-known and most reliable writing tools for grammar correction. It can help you correct the grammar of your piece, check for tone, offer readability suggestions, provide citations, and provide plagiarism checks on the go.
It integrates with nearly every major writing platform, including GDocs, Microsoft Word, or your internet browser for those writing directly into the cloud. It’s worth mentioning that Grammarly relies heavily on generative AI for its content suggestion, which could trigger AI content detectors and adversely affect their results.

Summary

AI-powered assistants are all around us, from personal assistants that help us in our everyday lives to work-oriented AI-powered tools that schedule and manage our meetings, increase our efficiency, enhance our productivity and creativity, provide ideas, and help content generation. 

If you want to learn more about business-oriented AI-powered solutions, don’t hesitate to contact Leadmate AI, and inquire about its fantastic features and pricing.

But what if you have some additional questions about AI chatbots?

We’ve got you covered.

In our guide, we’ve broken it down to answer questions like:

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