Describe a business. Generate its website. Give it an AI that understands the business.
An AI-powered landing page generator that transforms natural-language business descriptions into responsive websites with context-aware AI customer support.
The AI Landing Page Generator is designed to go beyond traditional website builders.
A user simply describes their business in natural language, and the system generates a complete landing page while simultaneously extracting the underlying business context to create a specialized AI customer-support experience.
For example:
"Create a modern website for an auto workshop specializing in aftermarket performance parts."
The system can generate:
Business Prompt
│
▼
┌─────────────────────┐
│ AI Generation │
└──────────┬──────────┘
│
┌─────┴─────┐
▼ ▼
Landing Page Business Context
│ │
│ ▼
│ AI Chatbot
│ │
└─────┬─────┘
▼
Intelligent Website
The result is not just a webpage.
It is a business-specific digital experience.
Describe the business in plain language and let the AI generate a complete landing page.
"Luxury barber shop in Lahore
with premium grooming services"
↓
AI Generation Engine
↓
┌────────────────────┐
│ Hero Section │
│ Services │
│ About │
│ Testimonials │
│ CTA │
│ Contact │
└────────────────────┘
The generated interface is designed to be responsive and visually polished across desktop and mobile devices.
The chatbot isn't a generic assistant.
It receives the business context extracted from the original generation prompt.
flowchart TD
A["Business Prompt"] --> B["AI Context Extraction"]
B --> C["Business Profile"]
C --> D["Products"]
C --> E["Services"]
C --> F["Target Audience"]
C --> G["Domain Rules"]
D --> H["AI Chatbot"]
E --> H
F --> H
G --> H
H --> I["Customer Conversation"]
style A fill:#570000,color:#fff,stroke:#570000
style H fill:#570000,color:#fff,stroke:#570000
style I fill:#111,color:#fff,stroke:#570000
If the website was generated for an auto workshop, the chatbot can answer questions such as:
Customer:
"Do you have performance exhaust systems?"
AI:
"Yes. We specialize in aftermarket performance
exhaust systems. I can help you explore the
available options."
Customer:
"What's the weather today?"
AI:
"That's outside my business scope. I can help
with questions about our automotive products
and services."
This provides domain-aware responses instead of unrestricted generic conversations.
Generated websites can be reviewed before finalizing them.
┌─────────────────────────────────────────────┐
│ │
│ Generated Website │
│ │
│ ┌─────────────────────────────────────┐ │
│ │ │ │
│ │ Landing Page Preview │ │
│ │ │ │
│ │ + AI Chatbot │ │
│ │ │ │
│ └─────────────────────────────────────┘ │
│ │
│ [ Preview ] [ Fullscreen ] [ New Tab ] │
│ │
└─────────────────────────────────────────────┘
Users can inspect the generated experience before approving the final result.
The interface is designed around a minimal dark aesthetic with deep maroon accents, subtle gradients, glass surfaces, and motion-based interactions.
Minimal
+
Dark
+
Glass
+
Motion
+
AI
=
Premium Interface
Powered by Framer Motion, the application uses:
- Smooth page transitions
- Fade and slide animations
- Staggered component reveals
- Interactive hover states
- Animated gradients
- Glassmorphism effects
- Floating UI elements
- Micro-interactions
- Loading animations
- Chatbot transitions
The animations are intentionally subtle so that motion enhances the interface without distracting from the generated content.
The next stage of the project is a conversational AI Voice Agent.
The architecture is designed to extend the same business context used by the chatbot into a real-time voice experience.
flowchart LR
A["Business Prompt"] --> B["Business Context"]
B --> C["Landing Page"]
B --> D["AI Chatbot"]
B --> E["AI Voice Agent"]
C --> F["Customer"]
D --> F
E --> F
style B fill:#570000,color:#fff
style E fill:#570000,color:#fff
The long-term vision is:
BUSINESS PROMPT
│
▼
┌───────────────┐
│ Business AI │
│ Context │
└───────┬───────┘
│
┌───────────┼───────────┐
▼ ▼ ▼
WEBSITE CHATBOT VOICE AGENT
│ │ │
└───────────┼───────────┘
▼
CUSTOMER EXPERIENCE
graph TD
U["User"]
UI["Web Interface"]
AI["AI Generation Engine"]
PAGE["Landing Page Generator"]
CTX["Business Context Engine"]
CHAT["Context-Aware Chatbot"]
PREVIEW["Interactive Preview"]
FINAL["Final Website"]
VOICE["Voice Agent<br/>(Coming Soon)"]
U -->|"Natural Language Prompt"| UI
UI --> AI
AI -->|"Generate UI"| PAGE
AI -->|"Extract Context"| CTX
PAGE --> PREVIEW
CTX --> CHAT
CHAT -->|"Embedded"| PREVIEW
PREVIEW -->|"Review / Approve"| FINAL
CTX -.->|"Shared Context"| VOICE
FINAL -.-> VOICE
style AI fill:#570000,color:#fff,stroke:#8b0000
style CTX fill:#570000,color:#fff,stroke:#8b0000
style CHAT fill:#570000,color:#fff,stroke:#8b0000
style VOICE fill:#111,color:#fff,stroke:#570000
style FINAL fill:#111,color:#fff,stroke:#570000
flowchart LR
A["01<br/>Business Prompt"]
B["02<br/>AI Processing"]
C["03<br/>Page Generation"]
D["04<br/>Context Extraction"]
E["05<br/>Chatbot Creation"]
F["06<br/>Interactive Preview"]
G["07<br/>Review"]
H["08<br/>Final Website"]
A --> B
B --> C
B --> D
C --> E
D --> E
E --> F
F --> G
G --> H
style A fill:#570000,color:#fff
style B fill:#570000,color:#fff
style C fill:#570000,color:#fff
style D fill:#570000,color:#fff
style E fill:#570000,color:#fff
style F fill:#570000,color:#fff
style G fill:#570000,color:#fff
style H fill:#111,color:#fff
| Layer | Technology |
|---|---|
| Framework | Next.js 16 |
| UI | React 19 |
| Styling | Tailwind CSS v4 |
| Animation | Framer Motion |
| Icons | Lucide React |
| Testing | Vitest |
| Architecture | Next.js App Router |
ai-landing-page/
│
├── app/
│ ├── components/
│ ├── api/
│ ├── page.tsx
│ └── layout.tsx
│
├── components/
│ ├── generator/
│ ├── preview/
│ ├── chatbot/
│ └── ui/
│
├── lib/
│ ├── ai/
│ ├── context/
│ └── utilities/
│
├── public/
│ └── assets/
│
├── tests/
│
├── package.json
└── README.md
The visual system follows a restrained color palette:
Primary
#570000
Dark
#0A0A0A
Surface
#111111
Border
#242424
Text
#F5F5F5
Muted
#8A8A8A
The objective is to keep the interface minimal and professional, using color primarily for emphasis rather than decoration.
Traditional landing-page generators focus primarily on:
Prompt
↓
Website
This project aims to evolve that workflow into:
┌─────────────┐
│ Prompt │
└──────┬──────┘
↓
┌────────────────┐
│ Business AI │
│ Context │
└───────┬────────┘
↓
┌─────────────┼─────────────┐
↓ ↓ ↓
WEBSITE CHATBOT VOICE
│ │ │
└─────────────┼─────────────┘
↓
Intelligent Business
Experience
The goal is to transform AI website generation from a design-generation problem into an intelligent customer-experience platform.
[x] AI Landing Page Generation
[x] Responsive Page Preview
[x] Context Extraction
[x] Context-Aware Chatbot
[x] Chatbot Integration
[x] Interactive Preview
[x] Fullscreen Preview
[ ] Advanced Business Memory
[ ] Persistent Conversations
[ ] Analytics
[ ] Multi-Agent Support
[ ] Real-Time Voice Agent
[ ] Voice-to-Voice Customer Support
[ ] Production Deployment
git clone https://github.com/mfaaizi/Landing-page-generator.git
cd Landing-page-generatornpm installCreate a .env.local file:
AI_API_KEY=your_api_keynpm run devOpen:
http://localhost:3000
Run the test suite with:
npm run testThe future of website generation isn't simply:
"Generate me a website."
It is:
"Understand my business and build its digital customer experience."
This project is an exploration of that idea—combining generative UI, contextual AI, conversational interfaces, and eventually real-time voice agents into a single workflow.
Prompt → Generate → Understand → Interact