The best types of AI chatbots in 2025 (and how to pick the right one)

Let’s be honest, the AI chatbot market is a bit of a maze right now. Every company is shouting that they have the "best" or "smartest" AI, but what does that really mean for you? The whole space is crowded with everything from simple FAQ bots that feel like a slightly fancier search bar to sophisticated conversational agents that are surprisingly human-like.

If you’re leading a customer support or IT team, this isn’t just background noise, it’s a big decision. Pick the wrong tool, and you could waste months and a chunk of your budget on something that just ends up annoying customers and not delivering on its promises.

This guide is here to cut through all that hype. We’ll break down the different kinds of AI chatbots in plain English and walk you through a curated list of the best options out there for businesses. The goal is to help you find the right fit for your team so you can get back to what you do best.

The main types of AI chatbots explained

Before we get into specific platforms, it’s helpful to know what’s actually going on behind the curtain. Chatbots have come a long way, and they generally fall into a few key categories, from the most basic to the most advanced.

Rule-based and menu-based chatbots

These are the simplest chatbots you’ll run into. They work from a fixed script or a decision tree, kind of like an automated phone menu ("Press 1 for sales, Press 2 for support"). You interact with them by clicking on the button option from a scripted menu that best represents their needs. They follow a simple "if this, then that" logic and have no real understanding of context or ability to learn. They’re best for straightforward, repetitive tasks, like answering your top five most common questions or directing people to the right department.

Keyword recognition chatbots

This type is a small step up from the rule-based bots. Instead of just clicking buttons, people can type out their questions. The bot then scans what they’ve written for specific keywords it’s been taught to recognize. If someone types, "What’s your shipping cost?", the bot picks out "shipping" and "cost" to pull up a pre-written answer. They’re handy for automating replies to a wider, but still predictable, set of questions. The catch is, they can easily get stuck if someone phrases a question in a way the bot doesn’t expect.

NLP and contextual AI chatbots

This is where things start getting genuinely smart. These chatbots use Natural Language Processing (NLP) and Machine Learning (ML) to figure out the intent behind what someone is asking, not just the specific words they use. They can handle typos, understand different ways of phrasing the same question, and even remember what was said earlier in the conversation to give more relevant answers. Because they use machine learning, they improve their response relevance over time as they continuously learn from interactions with users. These bots are built for more natural, back-and-forth support conversations and can handle a much wider range of questions.

Generative AI and agentic chatbots

Welcome to the cutting edge. These are the most advanced chatbots available today, powered by the same kind of Large Language Models (LLMs) that run tools like ChatGPT. Instead of just pulling from a list of pre-written answers, they generate entirely new outputs, including content creation. Agentic chatbots take it a step further by actually being able to do things for the user.

They are trained on huge amounts of data (like your company’s past support tickets and knowledge bases) to get a deep understanding of context, your brand’s voice, and complex problems. They can draft unique replies, summarize long conversations, and even connect to your other business tools to perform tasks, like checking an order status in Shopify or creating a ticket in Jira. This is what modern support automation looks like. For instance, platforms like eesel AI use this tech to not just answer questions but to fully resolve support tickets by plugging directly into your help desk and other apps.

Our criteria for picking platforms for the best types of AI chatbots

To put together this list, we focused on what really matters for a business trying to improve its support operations. Forget the marketing jargon; here’s what we looked for:

• Ease of setup: How quickly can you get this thing up and running? We prioritized tools that you can actually set up yourself with one-click integrations, not ones that require months of development and a team of consultants.

• Customization and control: Can you make the bot sound like it works for your company? Can you decide exactly what it should and, just as importantly, shouldn’t answer? Being able to tweak the AI’s personality and set clear rules is key to a successful launch.

• Knowledge source integration: A chatbot is only as smart as the information it can access. We looked for platforms that can pull knowledge from all over your company, not just a single help center. That includes your past tickets, internal wikis in Confluence or Google Docs, and even conversations from Slack.

• Testing and safety: Can you see how the bot will do its job before it talks to a single customer? The ability to test-drive the AI on thousands of your past tickets is a must-have for rolling it out with confidence.

• Transparent pricing: Is the pricing easy to understand? We favored platforms with straightforward plans over those that charge you per resolution, which can lead to some unpleasant surprise bills at the end of a busy month.

The 6 best platforms for the different types of AI chatbots in 2025

Here are our top picks for AI chatbot platforms that can handle the demands of today’s customer service and internal support teams.

1. eesel AI: best for seamless help desk integration and control

eesel AI is an AI platform built specifically for customer service and internal support teams. It connects directly with the help desk you already use, like Zendesk, Freshdesk, or Intercom, and learns from all your company’s knowledge, past tickets, macros, help center articles, and connected apps like Confluence and Google Docs, to automate your frontline support.

What really makes it stand out is how it combines serious power with real simplicity. You can sign up and get it running in minutes on your own, run a risk-free simulation on your old tickets to see exactly how it will perform, and keep complete control over what gets automated. There are no mandatory demos or long sales calls just to get started.

Pros:

• Go live in minutes: It’s truly self-serve with one-click integrations for major help desks. You can set it up and see it work without talking to a salesperson.

• Total control: You get to decide exactly which kinds of tickets the AI handles. A powerful prompt editor lets you customize the AI’s personality, tone of voice, and the specific actions it can take.

• Learns from your real data: It’s trained on your past support tickets from day one, so it automatically gets your brand voice, common issues, and what good solutions look like.

• Risk-free simulation: Test the AI on thousands of your past tickets in a safe environment. You’ll get accurate forecasts on resolution rates and cost savings before you ever turn it on for customers.

Cons:

• It works best for teams that already have a help desk in place and some knowledge sources for it to learn from.

Pricing:

eesel AI has clear, feature-based plans starting at $299/month for the Team plan. There are no unpredictable per-resolution fees, so your bill won’t jump just because you had a busy month.

2. Zendesk AI: best for teams deep in the Zendesk ecosystem

Zendesk’s own AI is built right into the Zendesk platform, offering bots and agent-assist tools designed to work smoothly within their own suite.

It’s on this list because if your team is all-in on Zendesk and your automation needs are fairly simple, it’s a convenient choice. You get the benefit of dealing with a single company and using an interface that’s already familiar to your agents.

Pros:

• Seamless integration with the Zendesk platform.

• Managed by one vendor, which simplifies billing and support.

Cons:

• It’s a bit of a walled garden. The AI is limited to the knowledge you have inside Zendesk, which makes it tough to bring in information from outside sources like Google Docs, Confluence, or other internal tools.

• It doesn’t have the advanced simulation or fine-grained control you find in more specialized platforms, making it harder to test and roll out confidently.

For teams needing to pull knowledge from outside the Zendesk bubble, a tool like eesel AI for Zendesk can act as a smart layer on top to bring all your company’s scattered information together.

Pricing:

Zendesk AI features are typically bundled into their higher-tier Zendesk Suite plans.

3. Intercom: best for proactive, sales-driven chat

Intercom built its name as a customer communications platform that’s great at proactive engagement. Its chatbots are well-known for starting conversations with website visitors to generate leads and drive sales.

We’ve included it because it’s still a leader in the sales and marketing chat game. The user interface is clean and offers a great experience for both agents and customers, especially before a sale happens.

Pros:

• Excellent for proactive sales and marketing chats.

• A polished and intuitive user experience.

Cons:

• The price can get very high, very quickly.

• While it has support automation features, they aren’t as focused on the deep, multi-source knowledge needed for complex after-sales support. The setup can also be more involved than with other tools.

Pricing:

Intercom’s pricing can be complex. AI features are usually part of their higher-tier plans, and most businesses will need a custom quote based on seats and features.

4. Ada: best for large enterprises with complex needs

Ada is a powerful, enterprise-level platform for building sophisticated AI chatbots for customer service. It’s designed to handle a massive volume of conversations and offers deep customization for large organizations.

It earns a spot here because it can scale up and be tailored to complex business workflows. For a large company with a dedicated team and budget, Ada can be a real workhorse.

Pros:

• Highly scalable and can be deeply customized to fit specific business processes.

Cons:

• This is not a self-serve platform. Getting started involves a long sales and implementation process that can take months.

• The cost is significant, putting it out of reach for most small to medium-sized businesses.

Teams looking for that enterprise-level power without the long setup times and high overhead will find the self-serve model of eesel AI to be a much more agile and cost-effective option.

Pricing:

Ada is priced with custom, enterprise-level contracts.

5. Drift: best for B2B marketing and lead generation

Drift basically created the "conversational marketing" category and is still a top choice for B2B companies. Its chatbots are laser-focused on one main goal: engaging website visitors, qualifying them as leads, and booking meetings for sales teams.

Drift is on this list because it’s exceptionally good at its job. If your main objective is turning website traffic into sales meetings, it’s one of the best tools on the market.

Pros:

• Excellent at qualifying sales leads and scheduling demos.

• Strong integrations with CRMs and marketing automation platforms.

Cons:

• It’s a sales tool, first and foremost. Its abilities for after-sales customer support are pretty limited, as it wasn’t designed to solve complex service questions.

Pricing:

Drift has premium pricing. Plans usually start at several thousand dollars per year and require an annual contract.

6. Tidio: best for small businesses and simple websites

Tidio offers a user-friendly live chat and chatbot solution that is incredibly easy to set up and affordable. This has made it a go-to choice for small businesses, freelancers, and solo entrepreneurs.

It’s a great entry point into the world of chatbots. With a simple interface and a generous free plan, it lets anyone add basic chat automation to their website without a big investment.

Pros:

• Very easy to use with a simple, visual builder.

• Affordable, with a free plan for basic needs.

• Good for simple lead capture and answering basic FAQs.

Cons:

• It doesn’t have the deep help desk integrations, advanced AI, or customization options that scaling support teams need.

Pricing:

Tidio has a free plan with limited features. Paid plans are very budget-friendly, starting around $29 per month.

At a glance: comparing platforms for the top types of AI chatbots

Tool	Best For	Ease of Setup	Key Differentiator	Pricing Model
eesel AI	Seamless Help Desk Automation	Minutes (Self-Serve)	Learns from past tickets; risk-free simulation	Predictable feature-based plans
Zendesk AI	Teams all-in on Zendesk	Moderate (Native)	Native Zendesk experience	Bundled with high-tier plans
Intercom	Proactive Sales Engagement	Moderate to Complex	Polished UX & sales features	Custom (seat & feature-based)
Ada	Enterprise Automation	Months (Sales-Led)	Deep enterprise customization	Custom (annual contract)
Drift	B2B Lead Generation	Complex	Sales & marketing focus	Premium (annual contract)
Tidio	Small Businesses	Very Easy (Self-Serve)	Affordability & simplicity	Freemium / Low-cost tiers

How to choose between the different types of AI chatbots for your team

Feeling a bit overwhelmed? Don’t be. Picking the right chatbot really just comes down to answering a few straightforward questions about what your team needs.

What is your main goal?

• Lead Generation: If you mostly want to capture leads and book sales meetings, a tool like Drift or Intercom is probably what you’re looking for.

• Answering Simple FAQs: If you just need to handle a handful of basic, repetitive questions, a simple bot like Tidio could be more than enough to get you started.

• Resolving Complex Support Tickets: If your goal is to actually solve customer problems, you need a generative AI agent that can connect to your knowledge sources and your help desk, like eesel AI.

Where does your knowledge live?

• If all your information is perfectly organized in one help center, a native tool might do the trick.

• But if your company’s brain is scattered across Google Docs, Confluence, Slack, and years of old support tickets, you need a platform that can bring it all together. This is a core strength of eesel AI, which can turn all that scattered knowledge into a single, reliable brain for your bot.

If you want to learn more about the types of AI chatbots, you might want to watch this.

How much control do you need?

• If you’re okay with a "black box" solution that you just switch on and cross your fingers, there are plenty of options.

• But if you need to be able to define exactly which tickets get automated, customize the AI’s tone to match your brand, and test its performance before it ever talks to a customer, you need a platform built for control.

Pro Tip: Don’t just buy a chatbot, invest in a better workflow. The best tools don’t just sit on your website; they integrate into how your team already works, learn from what your experts are doing, and help you improve your knowledge base over time.

Ready to launch an AI chatbot in minutes?

Choosing the right kind of AI chatbot doesn’t have to be a six-month research project. While simple bots can handle the basics, modern generative AI platforms offer a powerful, connected solution that’s surprisingly easy to get going.

With eesel AI, you don’t need a huge budget or a team of developers. You can connect your help desk and knowledge sources in a few clicks, simulate how your AI agent will perform on your real data, and go live with a smarter, more efficient support system.

See how easy it is to automate your support. Start your free trial or book a demo.