How to Make an AI Chatbot: Build Your Own Bot for Free (2024)

how to make an ai chatbot

Last Updated: July 2024

In this guide, we’ll walk you through the steps on how to make an AI chatbot for free using the latest tools and technologies available in 2024. Creating a chatbot for your website can significantly enhance user experience, streamline customer service, and boost engagement.

In the rapidly evolving digital landscape, understanding to create your own chatbot has become essential for businesses looking to enhance customer interactions. According to recent studies, chatbots are expected to save businesses approximately $8 billion in support costs by 2024, while improving customer satisfaction by handling up to 70% of interactions without human intervention.

Why should you make a chatbot for your website?

A chatbot offers several benefits:

  • 24/7 Availability: Provide round-the-clock assistance to your customers.
  • Cost-effective: You don’t need large customer service teams.
  • Increased engagement: Chats can keep users engaged for more extended periods.
  • Data collection: Fetch valuable insights from interactions.

Recent studies show that 67% of global consumers have interacted with chatbots for customer support in the last year, and businesses using chatbots have reduced their response times by 30%.

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Types of Chatbots

Understanding the types of chatbots can help you choose the right one for your needs:

  • Rule-Based Chatbots: Operate based on predefined rules and responses.
  • AI-Powered Chatbots: Use machine learning and natural language processing (NLP) to understand and respond to user queries.
  • Hybrid Chatbots: Combine rule-based logic with AI capabilities for more flexible interactions.

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Steps to Create a Chatbot

1) Define Chatbot’s Goals

Do you want a tool to automate customer service, enhance user experience or generate leads? Take an example of the typical customer conversations: what one thing can your chatbot do over and above all— FAQs answering, query routing to support?

  • For example, a shared goal for an e-commerce chatbot might be to handle basic customer service transactions such as checking the status of an order, asking about returns policy or product information. This way, human agents will be less overburdened and the customers receive immediate replies.

2) Choose the Placement for Your Chatbot: 

Choose the primary communication channel you’d like your chatbot to be spotted. We now know – is that where most of your clients are talking to you, through social media or a chat on a website? To summarize, ensure the chatbot platform integrates effectively with others you already utilize such as your website, Facebook and Instagram social media profiles and Slack-based messaging apps among others. This integration would provide you the capability to interact with clients where they are more active in.

  • Example: The majority of clients chat through the website live. Including the chatbot here means that it is available directly where customers seek assistance–on the product and checkout pages in this example, on demand.

3) Select a Chatbot Platform: 

You have to pick one between an AI framework and chatbot platform, depending on what suits your needs. Chatbot platforms with no-coding, customizable builders are perfect for fast and easy implementation. They are different from AI frameworks which need an understanding of all things technical like Google Dialogflow or IBM Watson. In fact, these systems are particularly suitable for e-commerce because they provide pre-built solutions for the most common customer service scenarios.

  • Example: A chatbot can be built to engage in natural language customer interactions for an e-commerce site, which may require more complex query handling like product availability, order tracking etc. using Google Dialogflow.

4) Design the Chatbot Conversation Flow: 

Help build up the Mental Model conversation of your bot with visual layout of what your bot should be asking, recognizing and responding. Step 1: Identify your trigger points – such as a visitor landing on one of your pages, i.e. the chatbot would start and so on. Define the decision nodes and associated messages (user replies) for gathering data from users such as email address & ensure that your chatbot successfully captures information.

  • Example: When a visitor lands on the FAQ page if user inquires about return policy, chatbot directly gives the answer and then asks whether needs help starting a return and if positive, it takes them through the journey to accomplish this task.

5) Test Your Chatbot: 

Get it tested to ensure that your chatbot is working perfectly well. Use the test tool for that platform to allow you to execute a number of customer interactions and thus make sure the chatbot will work as expected. Alter the flow of discussion as required according to the findings in the test. Use the platform’s test tools for.

  • Example: A user asking about shipping times. Make sure the chat interface makes use of a good database when confirming data and correct any misinterpretation/misunderstanding via re-routing the dialog or changing response.

6) Train Your Chatbot: 

(Chatbots using AI methods need to have some form of learning in order to improve on interpretation of user intents) Leverage historical conversation data to identify common questions and answers the chatbot should learn. This procedure improves the accuracy and usefulness of a chatbot.

  • Example:Conduct a historical chat review for common customer service questions regarding payment methods Teach the chatbot to understand different ways people may ask about payment options and offer short, correct responses.

7) Collect User Feedback: 

Collect feedback from users to know about how the customer service is being provided by chatbot. Post-interaction, conduct an automatic customer satisfaction survey to measure user satisfaction and highlight the plot points.

  • Example: a chatbot prompt like this after some user interaction: “Did you find this helpful? Users will be able to rate the interaction and any negative comments can be tagged for review in order to learn how to improve the chatbot responses.

8) Monitor Chatbot Analytics: 

Keep a close watch on the analytics,This can help to know how well your chat bot is working. Examine metrics like drop-off rates and user engagement to identify top opportunities, and inform data-driven decisions.

  • Example: Without a capable service, the abandonment rate of the chatbot. Alternatively, if people stop at the question about returns the most often, it means that the corresponding answers are not clear enough or that the preparation of the process is too extensive and this stage should be reviewed and possibly reformulated.

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Do’s and Don’ts



Personalize Interactions

Overcomplicated Conversations

Provide Clear Options

Ignore User Feedback

Ensure Quick Response Times

Neglect Testing Phases

Regularly Update The Bot

Over-rely On Automation

These best practices will help you build an effective, user-friendly, and continuously improving chatbot. Let’s now examine a potent tool that will assist you in developing and optimizing your chatbot.

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Saufter for AI-powered Chatbot

Saufter is an innovative platform specifically designed to build AI-powered chatbots. It combines an intuitive user interface with advanced AI capabilities, making it ideal for beginners and experts alike.

  • User-friendly Interface: Saufter’s drag-and-drop editor allows for quick and easy chatbot design without any coding skills required.
  • Advanced AI Capabilities: With built-in machine learning and natural language processing, Saufter can understand and respond to complex user queries effectively.
  • Integration Flexibility: Saufter supports integration with multiple platforms including websites, social media, and messaging apps, ensuring your chatbot is available wherever your customers are.
  • Analytics and Feedback: Saufter provides comprehensive analytics and feedback tools, helping you continuously improve your chatbot’s performance.

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Emerging Trends and Future Directions in AI Chatbots

As we move towards 2024, the AI ​​chatbot landscape continues to evolve, with new features and ideas shaping the future of customer interaction, here’s a look at some upcoming trends and future directions in AI chatbot development:

  • Voice-Activated Chatbots: With the increasing trend of smart speakers and virtual assistants such as Amazon Alexa, Google Assistant, and Apple Siri, integrating voice-activated capabilities into chatbots is becoming more popular.
  • Emotionally Intelligent Chatbots: Humans are emotional, and we sometimes wish our machines had emotional intelligence too. Emotionally intelligent chatbots use evolutionary programming to understand and respond to users’ emotional states.
  • Hyper-Personalization: Using AI and big data to offer a personalized experience for users. By leveraging user data such as past interactions and purchase history, chatbots can provide more personalized information and recommendations, increasing user satisfaction.
  • Multi-Language Support: With businesses expanding globally, the need for chatbots with multi-language support is growing. Advanced NLP models allow chatbots to understand and speak multiple languages, helping remove linguistic constraints and strengthening their user base through prompt service.

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Creating an AI chatbot can transform how your business interacts with customers, providing 24/7 support, reducing operational costs, and significantly enhancing user engagement. As we have outlined in this guide, learning how to make an AI chatbot involves understanding the types of chatbots, defining clear goals, selecting the right platform, and continuously monitoring and improving your bot’s performance. Recent statistics show that businesses using chatbots can handle up to 70% of customer interactions without human intervention, highlighting the efficiency and potential cost savings of this technology

Among the various platforms available, Saufter stands out as the best choice for building AI-powered chatbots. Ready to elevate your customer interactions? Discover how Saufter can help you build the perfect AI chatbot for your business. Start today and experience the future of customer service.



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