AI:Embedded an AI Chatbot on My Website

 From customer support and lead qualification to internal knowledge assistants, AI chatbots are reshaping how businesses interact with users at scale. In this article, I have broken down modern AI chatbots, the tools behind them, and how I built and deployed an AI chatbot using Chatling and embedded it into my Wix website. Today’s AI chatbots go beyond simple conversations — they combine language models, knowledge retrieval, and actions to support real business use cases.

Popular AI Chatbot Tools Used Today

Here are some commonly used tools and platforms in 2024–2025:

• LLMs: OpenAI (GPT-4 / 4.1), Claude, Gemini
• Chatbot Platforms: Chatling, Botpress, Tidio, Intercom
• Knowledge Sources: Websites, PDFs, FAQs, Google Docs
• Actions & Integrations: Email, forms, CRM tools
• Frontend Embedding: Wix, Webflow, WordPress, custom HTML

For my implementation, I chose Chatling because it offers a clean no-code chatbot setup, strong knowledge base support, and seamless embedding into websites like Wix.

Step-by-Step: How I Created My AI Chatbot Using Chatling

1. Defined the Purpose of the Agent

• What problems the agent should solve
• Who it’s for (website visitors)
• What actions it should be able to take

In my case, the agent was designed to answer questions from my website content and capture leads via email actions.

2. Created a Knowledge Base

Inside Chatling, I started by building a knowledge base that serves as the agent’s brain. This included: Core business information, FAQs and Product/service explanations. A strong knowledge base is critical — the agent is only as good as the data you feed it.

3. Added Website URLs as a Knowledge Source

Next, I added my website URLs directly into Chatling. Chatling automatically:

• Crawled the pages
• Extracted relevant content
• Structured it for AI retrieval

This ensured the AI agent stayed aligned with my live website content without manual copying.

4. Configured Actions (Email Option)

To make the agent useful beyond conversation, I enabled actions. One key action I added: "Email capture & email sending". This allows the agent to:

• Ask users for their email
• Send inquiries or lead details directly to my inbox
• Support basic follow-up workflows

This step turns the AI agent from a chatbot into a business assistant.

5. Tested Conversations & Edge Cases

I tested it before the deployment:

• Common user questions
• Incorrect or vague inputs
• Email action triggers

6. Embedded the AI Agent on My Wix Website

Once everything was ready, I embedded the code into my Wix website. Steps:

• Copied the Chatling embed code
• Added a Custom Code / Embed element in Wix
• Placed it on my website, where users naturally look for help

Within minutes, the AI agent was live and accessible to visitors. Creating an AI agent today doesn’t require a large engineering team. With the right tools, you can go from idea to production in hours.The key takeaways:

• Start with a clear goal
• Build a solid knowledge base
• Connect actions that create real value
• Embed where users already are

My Website. If you are experimenting with AI chatbots/ agents or planning to deploy one, I would love to exchange notes and learn from your experience.