Challenge
Fliva Arnsbo Media helps large real estate companies win more listings through automated social media video marketing. With 52% of real estate deals starting on social platforms, the demand for high-quality, consistent content was growing fast. But generating listing descriptions, social content, and A/B variations required large amounts of manual work, slowing down production and limiting scalability.
The Problem
- Semi-manual creation of listing descriptions and social content
- No scalable way to generate content variations for A/B testing
- Inconsistent quality due to manual workflow
- Limited use of external data sources for richer listings
Solution
We built a suite of AI-driven APIs that power Fliva’s automated listing content engine and dynamic social media workflows.
- AI Listing Descriptions: Automatically generated high-quality property descriptions based on multiple data sources.
- Data Extraction Engine: Pulls structured information from real estate websites, public registries, Google Maps APIs, and more.
- Automated A/B Content Flow: AI produces multiple content variations for Fliva’s social campaigns.
Technology Stack
- Custom GPT-based content generation models
- Python microservices for data extraction and transformation
- Integrations with Danish real estate registries
- Google Maps & Places APIs
- REST APIs powering Fliva’s internal content platform
Results
- 80% reduction in time spent creating listing text
- 15% increase in social media performance through automated A/B testing
- Higher-quality content driven by enriched multi-source data
- Scalable workflows enabling Fliva to serve more enterprise clients
Business Impact
- Fliva’s clients get faster and better-performing social content
- Fliva scales without expanding the content team
- Improved campaign ROI through automated A/B testing
- Stronger listing visibility and engagement for real estate companies
- Freed resources to focus on strategy and video production
