Key takeaways:
- An AI chatbot uses artificial intelligence to hold conversations with users through text or voice.
- It uses language patterns and available information to provide an answer.
- Businesses use AI chatbots to answer inquiries and help customers find what they need.
You’ve probably seen a round chat icon in the bottom-right corner of many websites or apps. When clicked, it opens a small conversation window where you either choose a button or type a question. This could be an AI chatbot.
Businesses use AI chatbots to answer questions, engage users, and guide customers to the products, services, and information they need more quickly.
If you’re exploring AI chatbots for your business, it’s best to first understand how they work, where they fit, the value they can provide, and their limitations.
What is an AI chatbot?
An AI chatbot is software that uses artificial intelligence to hold human-like conversations through text or voice. It interprets a user’s question, identifies their request, and provides a response using relevant information available.
Unlike scripted bots where you need to program questions and answers, AI chatbots hold conversations because they can understand different ways of asking the same thing.
For instance, Customer 1 asks, “What are your business hours?” and Customer 2 asks, “Are you open weekends?” An AI chatbot understands both questions are related to operating hours and can answer appropriately.
This is possible because many modern AI chatbots use technologies such as:
- Natural language processing (NLP): Helps software interpret everyday language, including questions phrased differently.
- Machine learning: Allows software to learn patterns from examples during training rather than requiring a separate rule for every question.
- Large language model (LLM): An AI model trained on large amounts of text; used to generate conversational responses.
How do AI chatbots work?
An AI chatbot responds to questions following a short sequence. To understand the process, here’s how it works step by step.
- The user enters a question or prompt: A prompt is the instruction you give the chatbot. You can type it in a chat window or speak if the chatbot supports voice input. Suppose you’re on a clothing website and ask, “Can I return a jacket that doesn’t fit?”
- The chatbot interprets the language and request: It analyzes the language to identify the customer’s intent. In our example, you want information about returns. With an AI chatbot, you don’t need to use the exact words “return policy.”
- The system uses available information: Depending on the setup, the model draws on patterns learned during training, available data, supplied business information, or connected services. This clothing website’s chatbot uses relevant information from its returns policy to prepare an answer.
- The chatbot provides a response: It’ll explain the return window and conditions to you, ideally with a link to the policy. If it needs more details, it’ll ask you follow-up questions or direct you to someone who can help.
Some chatbots also use conversation history for context. For instance, if you follow up with “What if I’ve removed the tags?”, the chatbot understands you’re still referring to the jacket return. But how much history it can use varies by system.
Types of AI chatbots
There are two main types of AI chatbots: task-focused chatbots and generative AI chatbots. They’re also classified in different ways, but you’ll encounter these two most often.
Generative AI chatbots
A generative AI chatbot uses an AI model to create responses based on your prompt and the conversation. Instead of choosing a prewritten reply, it generates an answer that fits the request. This type of assistant is commonly used for brainstorming ideas, drafting content, answering questions, and providing general help. For example, you could ask it to write a customer email or summarize a document. ChatGPT, Claude, Gemini, and Grok are examples of generative AI assistants that can be used as chatbots.
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Task-focused AI chatbots
A task-focused AI chatbot is built for a particular job. It’s designed to help users complete specific tasks, such as customer support, account assistance, providing personalized recommendations, or booking inquiries. Unlike general-purpose chatbots, it stays focused on a particular feature or set of services. These chatbots often combine AI with predefined workflows and business data to complete tasks more efficiently.
Difference between AI chatbots, traditional chatbots, and AI agents
There are three common technologies for automated conversations. Their chat windows may look similar, but they work differently and serve different purposes.
Traditional chatbots
A traditional chatbot follows predefined rules, scripts, menus, or decision trees to answer questions. It’s predictable because each input leads to a planned response. For example, a visitor selects “Delivery,” then “Delivery times,” and receives the message you wrote for that question. It has limited flexibility and may struggle with unexpected questions or requests.
AI chatbots
An AI chatbot can understand everyday language and respond based on the conversation instead of relying on fixed rules. It can interpret requests, generate a relevant response, and use relevant information to answer questions more flexibly.
For example, if you write, “I ordered the wrong size,” the chatbot can recognize it as an exchange inquiry and explain the next steps. Its primary purpose is to support conversations and answer requests. Some AI chatbots can also perform actions through connected tools, but they typically don’t independently plan and execute multi-step workflows the way AI agents do.
AI agents
An AI agent can work toward a goal by choosing steps and using tools you connect to execute them. Unlike a chatbot that mainly responds to messages, it can check results, take actions, and continue working toward an objective. For example, you can ask it to find an available appointment slot, compare calendars, schedule the meeting, and confirm the reservation if it has access to the necessary systems. But this ability depends on the available tools and permissions.
Comparison table
To easily see their differences, we’ve compared them side by side below:
| Technology | How it responds | Level of flexibility | Can it take action? | Common use |
|---|---|---|---|---|
| Traditional chatbot | Follows prepared rules or menus | Limited to prepared paths | Sometimes, through fixed processes | Store hours or contact forms |
| AI chatbot | Interprets language and creates a response | Responds to conversation details | Sometimes, with connected tools | Customer questions or drafting |
| AI agent | Chooses steps and adjusts based on results | Adapts steps within set limits | Yes, with the necessary access and permission | Preparing a stock order |
Common business use cases
Businesses like yours can use AI chatbots to answer questions, engage visitors, and help users find information more easily. Depending on the features available, common use cases include:
- Answering customer questions about products, services, hours, policies, or other common topics.
- Providing support outside business hours by helping your customers find information when staff is unavailable.
- Helping your visitors find products or information on your website.
- Offering personalized recommendations based on a customer’s needs, preferences, or budget.
- Supporting lead qualification or appointment scheduling by collecting details before passing inquiries to the company representative.
Not every chatbot supports every use case, so capabilities vary by platform, setup, and connected tools.
Still, information should be easy to find on your website. Others may want quick answers from chatbots, but you could lose potential customers to those who still prefer to browse. Keep your services, policies, FAQs, and contact details up to date to help both visitors and your chatbot find accurate information.
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Benefits and limitations
AI chatbots can make conversations easier to manage, but they still need accurate information and human oversight. It has both benefits and limitations.
Benefits of AI chatbots
The main benefits of AI chatbots are faster answers and easier access to help. For small businesses, they can reduce repetitive work. Depending on how they’re configured, they:
- Provide faster responses to common questions.
- Offer basic support 24/7; help is easier to access outside business hours.
- Make information easier to find without having to search through multiple pages.
- Handle repeated questions, which frees up your time or that of your staff.
- Deliver more relevant interactions and personalized recommendations based on customer needs.
To improve results or unlock full potential, regularly review its answers and update information as needed.
Limitations of AI chatbots
AI chatbots have many strengths, but they aren’t perfect. Remember that their responses depend on the information available to them, so they can still misunderstand questions or need help from you, a human. Common limitations include:
- Providing an incorrect or incomplete response.
- Misunderstanding questions or missing important context.
- Relying on the quality of their training data and connected information.
- Missing important details that a person might notice.
- Struggling with sensitive, complex, or unusual situations.
Always verify important facts and use human oversight when needed.
Frequently asked questions
A regular bot follows predefined rules and responses. An AI chatbot understands natural language and gives more flexible responses based on the information and conversation.
No. Not every chatbot automatically learns from each conversation. How training, data retention, and conversation history are handled depends on how the system is designed and configured.
Yes. AI chatbots can understand questions written in everyday language. Users can ask the same question in different ways without needing to follow a specific script or menu.
Yes, some AI chatbots can connect to business information, such as documents, knowledge bases, or internal systems. The information they can access depends on how the chatbot is configured.
Yes. AI chatbots can respond to common questions at any time, helping customers get answers outside business hours and reducing the number of repetitive support requests.
No. AI chatbots can sometimes provide incorrect, incomplete, or outdated information. You should verify important facts and regularly review chatbot responses, especially for customer-facing information.
Yes. AI chatbots can help small businesses answer questions, provide support outside business hours, and reduce repetitive work.
A business should use an AI chatbot when it receives frequent customer questions or needs support outside business hours. Chatbots can help provide faster responses and reduce repetitive work for staff.
Understand where AI chatbots fit in your business
You should now have a clearer picture of what AI chatbots can and can’t do, and whether they’re worth using. So, as you continue exploring options for your business, focus on the problems you want a chatbot tool to solve and whether it fits the needs of your customers and website.
AI chatbots are just one way businesses are using AI today. If you’re also looking to explore additional AI-powered tools, our AI All Access Pack can help you start using AI for practical tasks such as generating content ideas, speeding up routine work, and handling other everyday business tasks more efficiently.
