Chatbots are now a common part of digital experiences. They help organizations answer questions faster, guide customers to the right products, and support employees with routine tasks — making it easier to deliver helpful, more relevant experiences at scale.

Recent advances in generative AI have expanded what chatbots can do, helping them carry on more natural conversations, maintain context more effectively, and deliver responses that feel more relevant to each person.

This guide explains what chatbots are, how they work, the main types, the benefits and challenges they bring, and how to choose and implement the right chatbot for your business.

This post will cover:

• What is a chatbot?
• Types of chatbots
• Chatbot use cases
• How to choose a chatbot
• The benefits of chatbots
• Chatbot risks
• Getting started with chatbots

What is a chatbot?

A chatbot is a program or application that users can converse with through text or voice to complete routine tasks. Some chatbots follow predefined rules and decision trees, while others use artificial intelligence to understand requests and generate responses.

Chatbots help businesses keep up with customers’ increasing demand for immediate help without overwhelming customer service or support teams. Chatbots have a range of capabilities, from answering basic questions to acting as digital assistants.

While they don’t replace human customer care agents, chatbots can help businesses save time by answering simple customer queries. If a chatbot doesn’t know the answer, it can direct customers to a human agent, along with a transcript of the previous conversation.

Chatbots are also different from live chat, even though both may appear in the same chat window on a website. Live chat connects a customer with a human agent in real time, while a chatbot starts with automated responses. Many businesses use both together.

Types of chatbots.

There are several types of chatbots. Some follow predefined rules, while others use AI to understand intent, learn from interactions, or generate responses. Organizations often combine these approaches based on the complexity of the task and the experience they want to deliver.

• Rule-based (scripted). Rule-based chatbots follow predefined scripts, decision trees, or menus to answer common questions. They work best for repetitive tasks such as checking an account balance, tracking an order, scheduling appointments, or answering frequently asked questions. They’re reliable for structured interactions, but they usually can’t handle requests outside their programmed workflows.
• Keyword recognition. Keyword-based chatbots identify specific words or phrases in a user’s message to determine the response. They offer more flexibility than menu-driven bots because users can type their own questions. However, they may struggle when a request is phrased in an unexpected way or uses unfamiliar terminology.
• Voice-enabled. Voice-enabled chatbots let users interact through spoken conversations instead of text. They use speech recognition to interpret spoken requests and text-to-speech technology to respond. These chatbots are commonly used in virtual assistants, contact centers, smart devices, and hands-free service experiences.
• Hybrid. Hybrid chatbots combine rule-based workflows with AI capabilities. For example, they may use decision trees for routine tasks while relying on AI to interpret more complex questions or hand conversations off to a human agent when needed. This approach helps organizations balance consistency with greater flexibility.
• Generative AI. Generative AI chatbots use large language models (LLMs) to understand natural language and generate responses instead of selecting only from predefined answers. Unlike traditional chatbots, they can maintain context across conversations, answer follow-up questions, summarize information, assist with content creation, and support more complex interactions. Many organizations pair them with internal knowledge bases and business systems to improve relevance while maintaining appropriate governance with human oversight.
• Chatbots with agentic capabilities. Some generative AI chatbots can go beyond answering questions by connecting to tools, business systems, and workflows. These chatbots can help plan and complete multi-step tasks, interact with enterprise applications, and carry out work on a user’s behalf within defined permissions, policies, and human oversight.

Chatbot use cases.

Chatbots have moved beyond answering simple FAQs. Enterprises now use them across customer support and internal operations to improve response times, reduce repetitive work, and free up teams for higher-value tasks. Common use cases include:

• Customer support. Handle high-volume, repetitive requests such as order status, returns, and account questions so human agents can focus on more complex issues. Generative AI chatbots can go further by resolving more nuanced questions using connected knowledge sources instead of a fixed script.
• Ecommerce and sales support. Answer product questions, check availability, track orders, and recommend products based on what a customer is looking for — all without leaving the chat.
• IT and HR self-service. Help with password resets, benefits questions, and policy lookups. AI chatbots grounded in internal documentation can also answer more nuanced process or policy questions than a traditional FAQ chatbot.
• Sales and lead qualification. Qualify inbound leads, answer product questions, and route high-intent prospects to a sales representative, often before a human needs to step in.
• Knowledge management. Give employees one place to ask questions and get instant answers pulled from internal wikis, documentation, and policies instead of searching across multiple systems.
• Appointment scheduling and intake. Book meetings, collect intake information, and prequalify prospects before a call.

How to choose a chatbot.

The right chatbot depends on your business goals, customer needs, and the complexity of the interactions you want to support. Before choosing a chatbot, think about how it will be used, the capabilities it will need to have, and how it will integrate into your existing customer experience.

Define your goals and use cases. Start by identifying what you want the chatbot to do. A chatbot built to answer frequently asked questions may need a different approach than one designed to provide personalized recommendations, assist with purchases, or support more complex customer service interactions.

Consider the capabilities you need. Rule-based chatbots can work well for simple, predictable tasks. AI-powered and generative AI chatbots are better suited for conversations that require context, personalization, or more flexible responses.

Evaluate integrations and data requirements. A chatbot should connect to the systems and information it needs to deliver accurate answers, such as knowledge bases, customer relationship management (CRM) platforms, or customer data platforms. All internal knowledge bases must be refreshed regularly to ensure chatbots provide accurate information. AI-powered chatbots may also need access to high-quality data and the right governance controls.

Prioritize security and scalability. Think about how the chatbot will handle customer data, support growing demand, and maintain a consistent experience over time. Features such as monitoring, access controls, and human handoffs can help keep interactions reliable and effective.

Plan for ongoing improvement. A chatbot needs ongoing review and refinement. Regularly reviewing conversations, updating information, and improving responses can help it perform better and continue meeting customer expectations.

The benefits of chatbots.

Chatbots can complete many tasks for your business. There are many benefits of using chatbots, including:

• 24/7 availability. Consumers expect businesses to be available around the clock — especially if your business operates internationally. Chatbots can manage customer requests while your human team goes home for the day, giving customers the always-on availability they crave without draining your employees.
• Time saved. Chatbots prevent long customer hold times, which saves your customers more time. They also free up employees to focus on high-value interactions with customers.
• Reduced human error. When grounded in approved content and clear workflows, chatbots can help reduce inconsistent answers — especially when many agents are responding to similar customer questions.
• Convenience. Your customers don’t have time for a phone call. Chatbots give your clients an easier way to get help without taking more than 30 minutes out of their day.
• Multiple conversations can be managed simultaneously. Chatbots can scale, which means you can use the same software to chat with hundreds of customers at the same time.

Chatbot risks.

Chatbots can deliver real benefits, but they also introduce risks worth considering before launch:

• Data privacy and security. Chatbots may handle sensitive customer information, including order details, account data, and sometimes payment information. Make sure any platform or vendor you use has clear data-handling practices, complies with relevant regulations such as GDPR or CCPA, and gives you control over how customer conversations are stored and used.
• Accuracy. Generative AI chatbots are powerful, but they can occasionally produce an answer that sounds confident and is still wrong. Grounding responses in verified data and keeping human review in place for sensitive topics can help reduce this risk.
• Over-automation. Not every interaction should be automated. Make sure customers can reach a human agent easily, especially for complex, sensitive, or high-stakes issues.
• Brand voice and scope. Without clear boundaries, a generative chatbot can drift outside the topics or tone you want it to follow. Defining what your chatbot should and should not discuss upfront can help keep the experience on-brand and useful.

Getting started with chatbots.

Chatbots can effectively and efficiently respond to both simple and complex queries. When you’re ready to get started, think about which type of chatbot would work for your business. You could use anything from a simple scripted chatbot to a hybrid chatbot that collects information before connecting to a human agent.

If you need hands-on help with your company’s chatbot, choose Adobe Marketo Engage. Marketo Engage offers dynamic chat integration, allowing you to engage customers and capture leads efficiently.

Watch an overview video to find out how Marketo Engage can help you use chatbots to create excellent customer experiences.

https://business.adobe.com/fragments/resources/cards/thank-you-collections/marketo-engage