Website chatbots: What they are, why you need them, how to build them

Dev.to / 5/12/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical Usage

Key Points

  • The article argues that website visitors often fail to find what they’re looking for on landing pages, so adding an on-site assistant can improve conversion by answering and guiding them in real time.
  • A website chatbot is described as an AI tool embedded on a site that provides 24/7 support and recommendations, but it must be trained with the company’s specific website content and knowledge base rather than being generic.
  • It outlines two main chatbot types—rule-based bots that follow decision trees and keywords, and AI-powered bots that use NLP/LLMs to understand and generate natural-language responses.
  • It explains why chatbots are needed: they reduce friction by providing instant, scalable answers without requiring contact forms or waiting for human support, improving perceived accuracy and availability.

You have a good UX and landing page, even though your visitors are not converting to customers. Something is missing. If a visitor visits your site at 2 PM and searches for something but doesn’t get it. They can’t get what they search for. Because there is no assistant who explains your site, and we can’t hire someone for that.

In this situation, a website chatbot helps to solve your problem. This post explains to you clearly what a website bot is, why it is needed, and how to build one.

What is a website chatbot? 🤖

A website chatbot is an AI automated tool that interacts with visitors in real time. This tool gives support, 24/7, and recommendations in real time. This chatbot is usually embedded in the website's corner. It should not be a generic one. We have to feed the specific knowledge into this. You have to feed the website information and additional knowledge base about your company.

There are mainly two types of chatbots available.

  1. Rule-based chatbots

  2. AI-powered chatbots

Rule-based chatbots AI-powered chatbots
It follows decision trees and keywords It uses NLP/LLMs to understand and generate real-time responses in natural language
It is best for FAQs, simple navigation, lead capture systems It is best for complex queries, customer support, and sites that have personalised help

In recent days, modern chatbots can have both types. Rule-based structure and natural language processing to understand the conversation with humans.

Why a chatbot is needed for our website

We developed a website, and it went live. Each visitor reaches our website for specific reasons. They search for their solution among multiple pages, and they may miss the content they actually want. This is the hard truth. Most website visitors leave without finding what they came for. There may be an answer, but they can’t find it fast enough. They don’t want to fill out the contact form, and they don’t want to wait for 24 hours reply from support.

Here, a website chatbot helps you to solve those issues. It works 24/7, no breaks and no holidays. This will chat with the human in natural language.

  • Availability time - 24/7 ready to reply at any time
  • Response - It responds immediately after the customer’s question
  • Scalable - At the same time, it handles many customers' inquiries
  • Accuracy - It gives accurate data that we provide to it

This automation need is universal. From e-commerce stores to healthcare, it is a need. Below is a sample website chatbot conversation.

chatbot sample image

How to build a website chatbot

A few years ago, we needed to start building a chatbot from scratch. But now the situation has changed. There will be a lot of chatbot builder platforms. You don’t need to write any code. They handle all technical parts, and you just need to configure it with your website. Many providers are available, like Manychat, Agentzee, Live chat, etc.

How it actually works

a website chatbot response

This is how a website chatbot responds to the user's text message. It just responds according to the data we feed. If you want to know how to build using a third-party provider, just refer to the blog More Traffic, Less Retention? A Website AI Chatbot Changes That. If you have any doubts regarding this, just comment.