How I built an automated SEO Content Generator in 60 minutes with Refact.ai

As a developer working with pharmaceutical clients, I needed to create an automated content marketing system that could generate high-quality AI SEO content about medical topics.

The challenge: Limited time and a stack of tools to integrate — including Python, Firebase, React, and Claude’s API.

The solution: Refact.ai — an autonomous AI Agent that codes alongside you in your IDE.

Here’s how I used it to build a full AI SEO content generator in just 60 minutes.

AI SEO Content Generator: Results & performance

Here you can see the first several days after deploying the content generator. The results speak for themselves — proving that the system built with Refact.ai in just one hour is both technically correct and effective.

So, is AI-generated content good for SEO? When developed with Refact.ai — yes. It delivered high-quality, natural content that ranked well and generated website engagement.

AI-assisted development with Refact.ai

When approaching this project, I had a basic concept but needed help with implementation details. Refact.ai Agent served as the perfect collaborator — offering suggestions, debugging code, and helping integrate various components into a cohesive system.

The most impressive aspect was how quickly I could move from concept to working code with Refact.ai. Tasks that would normally take me days, were completed in minutes through the collaborative coding process.

AI content production system: The architecture

With Refact.ai Agent, we build an AI content production system that integrates multiple technologies into a seamless pipeline:

The architecture consists of six main components that work together to automate content creation and publishing:

1. Topic Scheduler: Organizes pharmaceutical topics with detailed specifications
2. Content Generator: Creates expert pharmaceutical content using Claude API
3. Firebase CMS: Stores and manages all generated content
4. React.js Client: Displays content to users with a responsive interface
5. Content Syncer: Ensures content is properly synchronized across collections
6. Sitemap Generator: Improves SEO through dynamic XML sitemaps.

How to develop an automated content creator with AI: 60-minute timeline

Minutes 0-10: Project setup and planning

Working with Refact.ai, I started by outlining the core requirements. The Agent immediately suggested the component architecture and helped me set up the project structure:

project/
├── content\_generator.py      \# Main Python script 
├── topics\_resources.json     \# Topic configuration
├── generate\_sitemap.py       \# SEO enhancement
└── client/                    \# React.js front-end
    └── components/
        └── ContentSyncScheduler.js

Refact.ai was particularly helpful in suggesting how to structure the system for scalability and how to approach the Claude API integration for pharmaceutical content.

Minutes 10-25: Building the AI Content Generator

The core of the system needed to:

• Read pharmaceutical topics from a configuration file
• Check if content already exists in Firebase
• Generate new content using Claude API
• Publish content to the database.

Refact.ai helped build this fast by suggesting code patterns and helping with error handling:

Most importantly, AI Agent crafted for me the perfect prompt structure to ensure Claude would generate pharmaceutical content that was both medically accurate and SEO-optimized.

Minutes 25-35: Implementing Firebase integration

For database integration, Refact.ai suggested effective patterns for initializing Firebase and handling credentials securely:

def _initialize_firebase(self):
    """Initialize Firebase connection."""
    try:
        # Check if already initialized
        if not firebase_admin._apps:
            # Use environment variables for Firebase credentials
            if os.environ.get("FIREBASE_CREDENTIALS_JSON"):
                # If credentials are provided as a JSON string
                import json
                import tempfile

                cred_json = json.loads(os.environ.get("FIREBASE_CREDENTIALS_JSON"))
                with tempfile.NamedTemporaryFile(suffix='.json', delete=False) as temp_file:
                    json.dump(cred_json, temp_file)
                    temp_file_path = temp_file.name

                cred = credentials.Certificate(temp_file_path)
                firebase_admin.initialize_app(cred)
                os.unlink(temp_file_path)  # Delete the temporary file
            else:
                # If credentials are provided as a file path
                cred_path = os.environ.get("FIREBASE_CREDENTIALS_PATH")
                if not cred_path:
                    raise ValueError("Firebase credentials not found in environment variables")

                cred = credentials.Certificate(cred_path)
                firebase_admin.initialize_app(cred)

        self.db = firestore.client()
        logger.info("Firebase initialized successfully")
    except Exception as e:
        logger.error(f"Error initializing Firebase: {e}")
        raise

This was a particularly complex part of the system, but Refact.ai suggested a robust approach that handled different credential scenarios and proper cleanup of temporary files.

Minutes 35-45: Creating the topic configuration system

For the pharmaceutical topic configuration, Refact.ai helped design a flexible JSON structure:

{
  "topics": [
    {
      "slug": "understanding-clinical-trial-phases-drug-development",
      "name": "Clinical Trial Phases",
      "description": "Comprehensive guide to the phases of clinical trials in drug development",
      "schedule_date": "2025-04-25",
      "additional_prompt": "Include detailed information about Phase I-IV trials, typical timelines, success rates, regulatory requirements, and participant recruitment strategies."
    }
  ],
  "seo_guidelines": {
    "min_word_count": 1200,
    "heading_structure": "Use H2 for main sections, H3 for subsections...",
    "keyword_density": "Include pharmaceutical terminology..."
  }
}

AI Agent suggested separating the SEO instructions and HTML template — allowing for consistent formatting while maintaining flexibility for different pharmaceutical topics.

Minutes 45-55: Implementing the sitemap generator and React component

For the final technical components, Refact.ai helped implement:

• A Python-based sitemap generator that creates SEO-friendly XML
• A React component for content synchronization:

const ContentSyncScheduler = () => {
  const [lastSyncTime, setLastSyncTime] = useState(null);
  const [isSyncing, setIsSyncing] = useState(false);

  useEffect(() => {
    const initializeSync = async () => {
      try {
        const lastSync = await checkLastSync();

        if (isSyncNeeded(lastSync)) {
          console.log('Sync needed, performing now...');
          await performSync();
        }
      } catch (error) {
        console.error('Error during sync initialization:', error);
      }
    };

    if (typeof window !== 'undefined') {
      initializeSync();
      // Set daily check interval
    }
  }, []);

  return null; // No visible UI
};

This React logic made sure content stayed synced without user interaction — ideal for automated SEO content publishing.

Minutes 55-60: Testing and integration

In the final minutes, Refact.ai helped me test the entire system and identify potential issues:

1. Verified Firebase integration with test writes
2. Tested Claude API response handling
3. Confirmed the sitemap generation with sample topics
4. Validated the React synchronization component.

Conclusion: Using AI to write SEO content, fast

Building this automated pharmaceutical SEO content generator with Refact.ai in just 60 minutes demonstrates the transformative potential of AI-assisted development.

The experience showed that:

1. Complex technical systems can be built in a fraction of traditional development time
2. Quality doesn’t have to be sacrificed for speed
3. Multi-technology integration becomes significantly easier
4. Developers can focus on architecture and strategy while the AI helps with implementation.

So, if you’re looking for the best AI tool to automate writing SEO blog content — you can try to develop it easily with Refact.ai.