AI-Powered Social Media Automation for Real Estate

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