Chatbot

A chatbot is software that holds a conversation with people in natural language, by text or voice, to answer questions or complete tasks. Modern chatbots use AI and large language models to understand intent and reply, and are widely used for support, sales and internal help.
Automation
Created on
01.08.2026
Updated on
17.08.2026

Summarize this

What a chatbot is

A chatbot is a software application that simulates a conversation with a human, usually through text in a chat window, sometimes by voice. Its job is to understand what a person is asking and respond usefully: answering a question, guiding a purchase, booking an appointment or routing a request to the right place. Chatbots appear on websites, in messaging apps, in support tools and inside internal company systems.

How chatbots work

There are two broad families. Rule-based chatbots follow predefined scripts and decision trees: they recognise keywords or buttons and reply with fixed answers. They are predictable and cheap but limited to what was scripted. AI chatbots, increasingly powered by large language models, interpret natural language, handle questions they were not explicitly programmed for, and generate fluent answers. The most capable modern chatbots combine an LLM with your own content and data, so they answer from your knowledge base, product catalogue or documentation rather than inventing responses.

Retrieval and grounding

A key technique for business chatbots is retrieval: instead of relying only on what the model learned during training, the chatbot searches your trusted content and uses it to ground its answer. This keeps replies accurate and specific to your business, and reduces the risk of the model making things up. Connecting a chatbot to live systems through APIs also lets it do things, such as checking an order status or creating a ticket, not just talk.

Why chatbots matter

A good chatbot answers common questions instantly, at any hour, without a person having to be available. It deflects repetitive support requests, freeing teams for harder cases. On a website it can qualify leads, guide visitors to the right page and increase conversion by removing friction. Internally, it can act as an assistant over company knowledge. As AI models improve and are increasingly cited by search engines, conversational interfaces are becoming a normal way people expect to interact with a business online.

Common mistakes

Frequent pitfalls include deploying a chatbot with no clear purpose, letting it answer from general knowledge instead of grounding it in your own content, hiding the option to reach a human when it gets stuck, and never reviewing real conversations to improve it. A chatbot that confidently gives wrong answers does more harm than none at all, so accuracy and honest fallbacks matter more than a clever persona.

Chatbots at BeBranded

Building useful conversational assistants fits naturally with our automation and web app work. Rather than a generic widget, we connect a chatbot to your real content and systems through APIs and retrieval, so it answers accurately from your knowledge and can trigger actions in your tools. We define its scope, wire in a clean handoff to a human, and integrate it into your website or internal stack, so it genuinely reduces workload and improves the experience instead of frustrating people.

FAQ

A chatbot is software that holds a conversation with people in natural language, by text or voice, to answer questions or complete tasks. Modern chatbots use AI to understand intent and reply, and are used for customer support, sales and internal assistance.
A rule-based chatbot follows predefined scripts and only handles what it was programmed for. An AI chatbot, often powered by a large language model, interprets natural language, handles unscripted questions and generates fluent answers. AI chatbots are far more flexible but need grounding to stay accurate.
Through grounding and retrieval: instead of relying only on the model's training, the chatbot searches your trusted content, such as documentation or a knowledge base, and answers from it. This keeps responses accurate and specific, and reduces the risk of the model inventing information.
Common uses include answering customer questions instantly, deflecting repetitive support requests, qualifying leads and guiding website visitors, booking appointments, and acting as an internal assistant over company knowledge. Connected to systems via APIs, it can also perform actions like checking an order.
Yes, when done well. A focused chatbot answers common questions at any hour, reduces friction, guides visitors to the right page and can improve conversion. The key is grounding it in your real content and offering an easy handoff to a human when needed.
No, they complement it. Chatbots handle the high volume of repetitive questions instantly, freeing human teams for complex or sensitive cases. A good design always lets a user reach a person when the bot cannot help, rather than trapping them in a loop.

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