← All articlesUpdated on December 15, 2025• Written byYounès Benallal

How to Create a WhatsApp Chatbot in 2025: Complete Guide (Free & Paid Options)

Updated on December 15, 2025

Want to automate customer conversations on WhatsApp? Creating a WhatsApp chatbot is easier than you think—and you don't need coding skills to get started.

In this guide, you'll learn how to create a WhatsApp chatbot using no-code platforms like Typebot and n8n. We'll cover everything from setup to deployment, plus best practices for designing conversations that actually engage users.

Different Methods to Create a WhatsApp Chatbot

1. Official WhatsApp Business Platform (Build It Yourself)

This method involves using the official WhatsApp Business Platform and building your own backend infrastructure with webhooks and a bot service to implement flows, integrations, and AI capabilities.

You'll connect your application to WhatsApp Business API using webhooks to receive incoming messages. Then, process them through your custom backend logic (which handles conversation flows, integrations, and AI responses), and send replies back through the API.

2. No-Code/Low-Code Chatbot Builders

No-code and low-code platforms let you create WhatsApp bot flows using visual builders without writing code. These tools are ideal for creating FAQs, lead capture forms, routing logic, and simple commerce flows. They usually bundle WhatsApp API access or connect to it through a provider.

Popular platforms in this category include Typebot, ManyChat, Chatfuel, and Landbot. Many businesses choose these solutions when they need fast deployment and don't want to maintain code for conversation flows.

n8n: The Power of Advanced Automation

n8n is a powerful low-code platform that excels at connecting WhatsApp to thousands of other services and advanced AI models.

Its primary strength lies in its extreme flexibility; because it is open-source and can be self-hosted, you have total control over your data and can build highly sophisticated workflows that go far beyond simple replies.

However, n8n has a steeper learning curve compared to dedicated chatbot builders and requires a more technical setup for the WhatsApp Business API.

Since it is a general-purpose automation tool rather than a specialized bot builder, you must manually design and manage the entire conversation logic and state, which can become complex for multi-step interactions.

For a detailed setup walkthrough, follow our n8n WhatsApp bot tutorial.

3. Adding AI Capabilities to Your WhatsApp Chatbot

AI can be layered on top of any of the three approaches above. This is typically done by connecting a Large Language Model (LLM) and optionally a knowledge base using Retrieval-Augmented Generation (RAG), plus implementing human handoff when the AI can't handle a query.

Platforms vary significantly in their AI depth:

• Basic AI replies: Simple natural language understanding and pre-written response matching
• Advanced AI agents: Trained on your specific business content, integrated with CRM and workflows, capable of handling complex multi-turn conversations

If your goal is sales or support automation at scale rather than just a simple FAQ bot, consider carefully which stack will best support your AI ambitions. Custom builds offer the most flexibility, BSP platforms provide middle-ground solutions with AI SDKs, and some no-code builders now offer sophisticated AI integrations without requiring coding.

Choosing the Right Method for Your Needs

Consider these factors when making your decision:

• Technical resources: Do you have developers available, or do you need a solution non-technical team members can manage?
• Budget: Custom builds require developer time; providers charge per conversation or monthly fees; no-code tools often have tiered pricing starting from free plans
• Speed to market: No-code builders can launch in hours; provider integrations in days; custom builds may take weeks or months
• Customization needs: Complex workflows, custom integrations, and unique UI requirements favor custom builds
• Scale: Consider message volume, user base size, and whether you need multi-channel support beyond WhatsApp

In the following sections, we'll walk through building WhatsApp chatbots using two powerful platforms: Typebot, a no-code builder perfect for most businesses getting started with WhatsApp automation, and n8n, a flexible workflow tool ideal for advanced automation and AI integration needs.

Setting Up a WhatsApp Chatbot with Typebot

Creating a Typebot Account

The first step is to sign up for a free Typebot account at https://app.typebot.io. This user-friendly platform allows you to create advanced conversational apps visually, without coding expertise.

Building Your Chatbot Flow

Once you've created your account, it's time to start designing your chatbot's conversation flow. Typebot's visual builder makes this process intuitive and engaging.

You can add text bubbles, images, videos, buttons, input fields, and various other elements to craft a seamless and interactive experience for your users.

Adding Text, Images, Videos, and Buttons

Engage your audience with:

• Text bubbles to convey information.
• Images and videos to enhance the experience.
• Buttons to guide users through the conversation flow.

Incorporating Input Fields and Conditional Logic

Gather valuable information from your users by including input fields for text, email, phone numbers, and more. Typebot also allows you to implement conditional logic, ensuring that your chatbot responds intelligently based on user input.

Real example of a Whatsapp Chatbot

Let's walk through the creation of a feedback chatbot that not only gathers valuable insights but also leaves a lasting impression on your customers. Customer services and customer support can use it to create a channel with active users.

Setting the Stage

Kick off your chatbot flow with a warm welcome and a clear call-to-action. Use a friendly tone and provide a brief overview of what the chatbot can do for the user. For example:

Offering Options

Present the user with a set of buttons, each representing a different feedback category. This streamlines the process and allows you to tailor the subsequent questions based on the user's selection.

Gathering Feedback

Depending on the user's choice, you can now ask specific questions to gather the necessary information. For instance, if the user selects "Submit a Suggestion," you could ask for their email address and a detailed description of their suggestion.

Confirming and Closing

Once you've collected the required information, provide a summary of the user's feedback and thank them for their input. You can also offer additional options, such as subscribing to a newsletter or sharing the chatbot with friends.

Discover how Typebot's drag-and-drop builder can transform your website visitors into loyal customers.

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Testing and Deploying Your WhatsApp Chatbot

After pouring your creativity and effort into designing an engaging WhatsApp chatbot, it's time to test it and prepare for deployment. This crucial phase ensures that your chatbot functions seamlessly and provides a polished experience.

Testing Your Chatbot on WhatsApp

Before launching your chatbot, thoroughly test it in the WhatsApp environment. Typebot's "Test" feature allows you to simulate your chatbot's behavior and interactions. This gives you a chance to identify and address any potential issues.

To access the WhatsApp preview:

1. Click on the "Test" button in the Typebot editor.
2. Change the runtime to "WhatsApp."

This will enable you to experience your chatbot as if you were a user interacting with it on WhatsApp.

During testing, pay close attention to:

• User Experience: Ensure the conversation flow is natural, intuitive, and free from confusing transitions.
• Media Rendering: Verify that images, videos, and other media assets display correctly.
• Button Functionality: Test each button to ensure it triggers the appropriate response or action.
• Input Field Validation: Check that input fields function correctly, validating user input and triggering appropriate conditional logic.
• Edge Cases: Explore potential edge cases or unexpected user inputs to ensure graceful handling and appropriate responses.

Document any issues or areas for improvement. This will help streamline debugging and optimization.

Integrating Typebot with WhatsApp

To connect your Typebot chatbot to WhatsApp, you'll need to create a Meta app and configure the WhatsApp integration within Typebot.

Creating a Meta App

1. Start by creating a Facebook Business account at https://business.facebook.com
2. Once you've set up your account, head over to https://developers.facebook.com/apps and create a new Meta app.
3. On the “Use case” step, select “Other”

4. On the next step, select Business

5. Next step asks you about details of your app such as the name and your email

6. Enable the WhatsApp product within your app.
7. Great! Your WhatsApp app is now created

Connecting Your Typebot Chatbot to WhatsApp

Let’s connect it to Typebot:

1. Go to your System users page
2. Create a new user by clicking on Add
3. Fill it with any name and give it the Admin role
4. Click on Add assets. Under Apps, look for your previously created app, select it and check Manage app

5. Generate a token and put it in Typebot
6. Go to your WhatsApp Developer Console and add your phone number
7. Then, Typebot gives you a webhook URL and a Verify Token. Copy these and paste them into the WhatsApp Developer Console.

You should be fine by now, you can test your chatbot now!

Publishing and Sharing Your Chatbot

Once you've thoroughly tested your WhatsApp chatbot and addressed any issues, it's time to publish and share it with your audience. Typebot makes this process straightforward by providing clear instructions in the "Share" tab of your bot.

To publish your chatbot:

1. Follow the steps outlined in the "Share" tab.
2. Configure additional settings or integrations specific to your use cases.

Once published, share the designated WhatsApp number or group link with your customers or audience. This allows them to interact with your chatbot seamlessly.

Remember, even after publishing, continue monitoring your chatbot's performance, gathering user feedback, and making ongoing improvements. This ensures a consistently engaging and valuable experience.

Setting Up a WhatsApp Chatbot with n8n

n8n is a powerful workflow automation tool that lets you build sophisticated WhatsApp chatbots with AI capabilities. This approach gives you complete control over your bot's logic and seamlessly integrates with hundreds of other services.

Creating Your Meta Business Account and WhatsApp API Access

Before building your n8n workflow, you need to set up the WhatsApp Business API through Meta:

1. Create a Business account in Meta Business Suite using your Facebook credentials.
2. Sign in to Meta for Developers and create a new app.
3. Add the "WhatsApp" product to your app.
4. Request the test phone number Meta provides for development.
5. Verify up to five recipient numbers via OTP to allow them to receive messages from the test environment.

Once your test number is active, send a template message from the Developer console to confirm the connection is working properly.

Gathering Your Credentials

From your WhatsApp setup in the Meta for Developers portal, you'll need to collect these credentials:

• Access Token: Available in the development console (temporary test token during development; for production, configure a permanent system user token).
• Business Account ID: The unique identifier for your business entity on Meta.
• Phone Number ID: The ID assigned to your test phone number (different from the phone number itself).
• App ID and App Secret: Found in your app settings, needed for the webhook trigger.

Keep these credentials secure—you'll paste them into n8n's credential fields to connect your workflow.

Building Your n8n WhatsApp Bot Workflow

The workflow consists of three essential components: receiving messages, processing with AI, and sending replies.

Step 1: Add the WhatsApp Trigger Node

Start by adding the WhatsApp Trigger node to your canvas:

1. Add the WhatsApp Trigger node to your workflow.
2. Create a new credential using the App ID and App Secret from Meta.
3. This node "listens" for incoming WhatsApp messages and triggers your workflow automatically.

Step 2: Configure the AI Agent Node

Connect an AI Agent node to process incoming messages intelligently:

1. Add the AI Agent node and connect it to your trigger.
2. Choose and configure a chat model
3. Configure the agent's "User Message" field by dragging the body field from the WhatsApp Trigger output.
4. Customize your AI's personality, instructions, and behavior to match your use case.

Step 3: Set Up the Send Message Node

Finally, add a WhatsApp Business Cloud node to send responses:

1. Add the WhatsApp Business Cloud node and set it to "Send Message" operation.
2. Create a new credential using your Access Token and Business Account ID.
3. Map the output text from the AI Agent into the "Text Body" field.
4. Configure the recipient phone number (typically from the trigger's sender information).

Testing Your n8n WhatsApp Bot

While your Meta app is in development mode:

1. Click "Execute Workflow" manually in n8n to activate listening mode.
2. Send a test message from one of your verified phone numbers to your test WhatsApp number.
3. Watch the workflow execute in real-time and verify the AI responds correctly.
4. Debug any issues using n8n's execution logs to see data flowing through each node.

Moving to Production

Once you've tested your bot thoroughly:

1. Submit your Meta app for review to access the WhatsApp Business API in production.
2. Swap your test phone number for a real business phone number.
3. Configure a permanent system user token instead of the temporary development token.
4. Set up n8n to run continuously (either self-hosted or on n8n Cloud) so your bot can respond 24/7.

With n8n, you have the flexibility to enhance your WhatsApp bot with unlimited integrations—connect to databases, CRMs, payment systems, or any API to create truly powerful automated conversations.

Designing an Engaging WhatsApp Chatbot Experience

Now that you've set up the technical foundation for your WhatsApp chatbot (whether using Typebot, n8n, or another platform), it's time to focus on crafting an engaging and memorable experience for your users. Here are some best practices and strategies to consider:

Best Practices for Conversational Design

Effective conversational design is the key to creating a chatbot that feels natural and intuitive. Start by understanding your audience's needs, preferences, and communication styles. Use a friendly, conversational tone that resonates with your target users, and avoid overly formal or robotic language.

Incorporate storytelling elements and personalized touches to make your chatbot feel more human-like. For example, you could include humorous quips, relatable anecdotes, or even playful emojis to add personality and warmth to the conversation.

Incorporating Rich Media

WhatsApp supports various rich media formats. This allows you to enhance your chatbot's visual appeal and engagement. Strategically incorporate:

• Images
• GIFs
• Videos to illustrate key points, add visual interest, or inject fun and personality.

However, keep in mind that WhatsApp has some limitations regarding media formats. For instance:

• GIF and SVG image files are not supported.
• Only .mp4 videos are compatible.

Typebot's documentation provides a list of supported media types to ensure your content displays correctly.

Handling User Input and Providing Relevant Responses

One of the most crucial aspects of an engaging chatbot is its ability to understand and respond to user input effectively. Typebot's input fields and conditional logic features allow you to gather information from users and tailor your chatbot's responses accordingly.

You can use input fields to gather user preferences or demographic info. Then, use conditional logic to offer personalized recommendations or content based on their answers.

Limitations of WhatsApp Chatbots

While WhatsApp chatbots offer a powerful and convenient way to engage with your audience, it's important to be aware of their limitations.

• WhatsApp only allows you to display three buttons at a time. Typebot will add "..." messages to display additional buttons.
• Certain Typebot blocks are incompatible with the WhatsApp environment, such as:
  • Payment input block
  • Chatwoot block
  • Script block
  • Google Analytics block
  • Meta Pixel blocks
  • Cal.com block

These blocks will be skipped if present in your chatbot's flow.

By understanding and working within these limitations, you can create a seamless and enjoyable experience for your WhatsApp chatbot users.

With these design principles and strategies in mind, you're well on your way to creating a WhatsApp chatbot that provides value and leaves a lasting impression.

Advanced WhatsApp Chatbot Features

As you gain more experience with building and optimizing your WhatsApp chatbot, you may want to explore advanced features and capabilities. This section focuses on Typebot's advanced features, though many concepts apply to other platforms as well.

Contact Information and System Variables

One powerful aspect of WhatsApp is automatically capturing user contact information, such as their name and phone number.

Typebot makes it easy to leverage this data within your chatbot flow using dedicated system variables.

WhatsApp provide contact information of the user. You can assign them to variables to personalize your chatbot's greetings and responses. This simple touch can make the experience feel more human and tailored to the individual.

Session Expiration and Start Bot Conditions

Typebot's WhatsApp integration allows you to configure:

• Session expiration timeouts
• Start bot conditions

This gives you greater control over the user experience and bot behavior.

The session expiration timeout determines the number of hours after which a user's session will expire if they don't interact with the bot. This feature helps manage resources and ensure inactive sessions don't consume unnecessary resources.

Start bot conditions allow you to define specific conditions that must be met before your bot is triggered when a user starts a new conversation. This is useful if you have multiple bots integrated with the same WhatsApp number, ensuring the correct bot is activated based on predefined criteria.

Integrating with Other Services and APIs

While Typebot's WhatsApp integration provides a solid foundation, you may want to extend your chatbot's capabilities by integrating with other services and APIs. Typebot supports a wide range of integrations, including:

• Webhooks
• OpenAI
• Google Sheets
• More

For example, you could:

• Integrate your chatbot with a CRM system to automatically update customer records based on their interactions
• Use NLP/LLM APIs to help your chatbot better understand and respond to user input.

Typebot's webhook integration lets you link your chatbot to other services and APIs. This helps you create unique connections and expand your chatbot's capabilities in many different ways.

Monitoring and Optimizing Your WhatsApp Chatbot

Congratulations! You've successfully created, tested, and deployed your WhatsApp chatbot using Typebot. However, your journey doesn't end there. To keep your chatbot running smoothly and providing value, it's important to regularly check its performance and make improvements.

Analyzing Chatbot Usage and Performance Metrics

Typebot provides valuable analytics and metrics. These can help you gain insights into your chatbot's usage and performance. By analyzing these metrics, you can:

• Identify areas for improvement
• Understand user behavior patterns
• Make data-driven decisions to enhance effectiveness

Some key metrics to monitor include:

• Conversation Completion Rate: Tracks the percentage of users who complete the entire conversation flow. A low rate may indicate issues with the flow, confusing prompts, or lack of engaging content.
• User Drop-off Points: Identify specific points where users tend to disengage. This can help pinpoint areas that may require clarification, simplification, or additional incentives.
• Button Click-through Rates: Monitor button performance by tracking click-through rates. Low rates may suggest the need to optimize button labels or placements.
• Input Field Completion Rates: Analyze completion rates to identify potential friction points or areas where users need additional guidance.

By regularly reviewing these metrics and identifying patterns or trends, you can make informed decisions about optimizing performance and user experience.

Updating and Improving Your Chatbot Over Time

Armed with data-driven insights and user feedback, continuously refine and improve your WhatsApp chatbot. Regularly review your chatbot's content, flow, and functionality, and make updates or adjustments as needed.

• Incorporate new features, integrations, or capabilities to enhance the user experience or provide additional value.
• Integrate your chatbot with third-party services, such as e-commerce platforms, CRM systems, or data analytics tools.

Stay up-to-date with the latest trends, best practices, and advancements in conversational AI and chatbot technology. Attend industry events, participate in online communities, and continuously educate yourself to ensure your chatbot remains relevant and cutting-edge.

Discover how Typebot's drag-and-drop builder can transform your website visitors into loyal customers.

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