Scout24 is integrating OpenAI’s GPT-5 directly into ImmoScout24’s platform architecture. The new functions start today and replace rigid filter lists with a semantic search that understands and processes complex input in natural language.
Key Takeaways
Scout24 impressively demonstrates how the deep integration of advanced OpenAI models transforms rigid databases into intelligent dialog systems. These are the key levers with which the company radically simplifies search processes and automates workflows for brokers.
- Semantic search replaces filter lists by entering requests in natural language and the AI understands the context of complex requirements such as “bright old apartment”.
- Computer vision automates exposés, as GPT-5 analyses uploaded photos, recognizes features (e.g. parquet flooring) and generates sales-boosting description texts based on this.
- Measurable precision instead of garbage data is achieved through intelligent matching, which reduces irrelevant search results for users by 99.4 percent.
- Proactive fraud protection in the backend identifies anomalies in listing patterns in real time and blocks fake listings before they are published.
- Internal enterprise solutions such as “ScoutGPT” accelerate product development and code modernization without leaking sensitive company data into public models.
Read on to understand how you can integrate these technologies into your own platform architecture.
Scout24 has deeply integrated advanced OpenAI models, including GPT-4o and GPT-5, into its technical infrastructure. A detailed analysis of OpenAI shows how the real estate marketplace increases efficiency for searchers and agents through this implementation. The focus is on the processing of complex, unstructured data and the automation of manual processes.
Intelligent search and conversational AI
The system is increasingly replacing rigid search masks with semantic search methods. The “house gnome” assistant acts as an AI concierge that understands natural language and proactively suggests suitable properties instead of just matching filter criteria.
How to use it:
- Navigate to the search area of the app or website.
- Instead of setting filters individually, enter your preferences in natural language (e.g. “Quiet 3-room apartment in Berlin-Kreuzberg with balcony, up to 1,500 euros warm”).
- The AI extracts the criteria and matches them with the exposé texts in the database, even if the landlord has not explicitly entered the attributes in the filter fields.
Automation in the estate agent workflow
For providers, the technology automates the creation of listings and communication. GPT-5 Vision analyses uploaded images to identify room types and furnishing features and automatically generates description texts from them.
How to use it:
- Start the listing creation process in the landlord dashboard.
- Upload photos of the property and floor plans and enter the basic data (square meters, price).
- The system creates a complete draft exposé. Check the text for accuracy and publish it.
- In the message area, you can use AI suggestions to answer frequent queries from interested parties (e.g. about viewing appointments or additional costs) in a contextualized manner with just one click.
Fraud prevention in the backend
In addition to user features, Scout24 uses the models for security analysis. The AI scans new listings for anomalies and patterns that indicate fraudulent intentions (scams). This check runs in the background and often blocks suspicious content before it is published, which increases the security of the platform without you having to take any action.
Scout24, the operator of the real estate platform ImmoScout24, integrates OpenAI technologies deeply into its operational processes and product features. The focus is on using ChatGPT Team to both increase internal developer productivity and provide automated tools to end users. According to OpenAI, the strategy aims to replace inefficient manual processes in the real estate market with AI-powered workflows.
Automation of real estate exposés
Creating appealing property descriptions is time-consuming for estate agents and private sellers. Scout24 uses the API to automatically generate flowing, sales-psychologically optimized texts from simple property data (hard facts). The system analyzes attributes such as “south-facing balcony”, “parquet flooring” or “year of construction” and uses them to formulate complete descriptions.
How to use it:
- Start the “Create property” process within the estate agent software or in the private vendor area.
- Enter the key data for the property (area, number of rooms, furnishings) in the fields provided.
- Click on the button for AI text generation (often marked as “Create AI proposal”).
- The system provides drafts for the property title and description. Check the output for factual accuracy and transfer it directly to the listing.
Data extraction and development
Beyond pure text creation, integration addresses the problem of unstructured data. Real estate management often involves handling PDFs, scans of floor plans or energy performance certificates. The AI models extract relevant information from these documents and transfer it into structured database fields. This reduces typing errors and speeds up the validation of listings.
Internally, the development teams at Scout24 use ChatGPT for coding tasks, refactoring and the migration of legacy systems to the cloud. This significantly shortens the time-to-market for new features.
| Area of application | Function | Advantage for the user |
|---|---|---|
| Listing creation | Text generation from key points | Saves manual writing and improves SEO. |
| Data management | Information extraction from PDFs | Automatic filling of form fields. |
| Customer support | Automated responses | Faster response times for standard inquiries. |
Scout24 is fundamentally implementing OpenAI technology in the ImmoScout24 platform architecture. The focus is on replacing classic filter systems with semantic search and multimodal analysis. Whereas Boolean logic (checklists with “yes/no”) used to dominate, GPT-4o and GPT-5 Vision now process complex, unstructured data. The aim is to make the “Search & Match” process more efficient.
According to a publication by OpenAI, this cooperation aims to make the information density in real estate listings more usable. The system not only analyzes text descriptions, but also uses computer vision to automatically extract features from images (e.g. flooring, daylight bathroom) and matches these with search queries. The use of LLMs also increases security: AI models check listings in real time for patterns that indicate fraud and block them significantly faster than manual review processes.
How to use the semantic search (Home Advisor):
The assistant allows you to search using natural language. You no longer have to click through detailed filter menus.
- Navigate to the central search field in the ImmoScout24 app or in the browser.
- Enter complex requirements as continuous text. Example: “Bright apartment in old building in Berlin-Kreuzberg, suitable for pets, near park, maximum rent of 1,500 euros.”
- The system interprets synonyms and context (e.g. match from “green space” to “park”) and delivers results that match your intention, even if keywords are missing in the exposé.
For landlords and estate agents, the integration offers massive time savings when creating listings. The AI generates complete, marketing-effective exposé texts based on just a few keywords and suggests cover images that maximize the click-through rate.
| Feature | The technology | Benefits |
|---|---|---|
| Smart Search | GPT-4o | Understands context and nuances instead of just hard filter criteria. |
| Image analysis | GPT-5 Vision | Automatically recognizes features (e.g. “fitted kitchen”) from photos and tags them. |
| Fraud Detection | Moderator models | Identifies fake listings through static and semantic pattern recognition. |
Developers at Scout24 also use the API to iterate features faster. Instead of time-consuming training of their own ML models for each niche, the engineering team uses the generalization capability of the OpenAI models to shorten the “time-to-match” between searchers and providers.
Scout24 is transforming its platform from a filter-based database to an AI-driven ecosystem. The focus is on the integration of multimodal models in order to radicalize both the search for end users and the creation of listings for brokers. According to an analysis by OpenAI, the technical architecture is primarily based on GPT-5 for complex image and text analyses and GPT-5 mini for cost-efficient background processes.
Semantic search instead of rigid filters
The core innovation for real estate searchers is the switch from isolated parameters to natural language. The system understands context and nuances that go beyond simple “yes/no” checkboxes.
How to use it:
Avoid manually setting numerous filters. Instead, enter your requirements as continuous text in the search field.
- Example: Type “Bright old apartment in Munich-Schwabing, at least 80 sqm, quiet location, but close to the subway.”
- The AI extracts the parameters (size, location, type) and the context (“quiet”, “bright”) and matches these with the description texts and image content of the advertisements, not just with the set metadata.
Automation in the Scout Manager (B2B)
For estate agents and landlords, the “Scout Manager” drastically reduces the manual effort involved in creating exposés. The system uses computer vision to understand image content and generate text from it.
How to use it:
- Upload: Upload all raw photos of the property to the manager.
- AI analysis: The tool scans the images. It recognizes room types (e.g. “open kitchen”, “renovated bathroom”) and automatically assigns captions.
- Text creation: GPT-5 generates a complete description text based on the images and a few key data (price, square meters).
- Review: You check the draft for factual accuracy and publish the advertisement.
Efficiency and accuracy
The implementation solves one of the main problems of conventional search engines: irrelevant results. Through semantic analysis (“Precision Recall”), Scout24 was able to reduce irrelevant hits that frustrate users by 99.4%. At the same time, support requests from brokers regarding the visibility of their properties fell, as the AI-supported classification works more precisely than purely manual filter logic.
Scout24 is transforming its platform from a static search mask to a dynamic AI assistant. According to OpenAI, the company is relying on the multimodal GPT-5 model to process complex search queries more precisely. The aim is to bridge the gap between rigid database filters and the often subjective, unstructured wishes of users when searching for real estate.
Dialogue-based search instead of filter lists
The core feature is the integration of natural language processing into the ImmoScout24 Plus app. Instead of manually configuring checkboxes for “balcony” or “square meters”, the system processes natural language input. The algorithm recognizes nuances – for example, the difference between “balcony” as a hard criterion and “would like to have an outdoor area” as a soft request – and matches these with the free text descriptions in exposés, which are often ignored by conventional filters.
How to use the AI search:
- Open the ImmoScout24 app (so far primarily available in the Plus subscription).
- Navigate to the search area and select the AI assistant.
- Enter your preferences as continuous text, e.g: “I’m looking for a bright old apartment in Hamburg-Eimsbüttel, quiet location, ideal for home office.”
- The AI not only analyzes the metadata (room, price), but also scans property descriptions for contextual matches such as “flooded with light” or “study” and delivers a sorted list of results.
Internal efficiency and data protection
In addition to the user experience, Scout24 scales the technology internally through “ScoutGPT”. This is a secure enterprise instance of the OpenAI models, which ensures that sensitive company data does not flow back into public models. Development teams use the API to modernize legacy code and implement new features faster.
The data confirms the benefits: The interaction rate with the new AI search product is 1.5 times higher than with traditional search, indicating a significantly higher relevance of search results.
Conclusion
Scout24 impressively demonstrates that artificial intelligence in the real estate market is far more than a superficial trend topic. Through the deep integration of GPT-5 and computer vision, the platform is transforming itself from a pure listing manager to a proactive assistant that truly understands human needs.
We are moving away from rigidly “ticking off” technical filters towards fluid interaction. Whether you’re looking for an apartment that “feels right” or want to create professional exposés in seconds as a provider – the technology in the background makes complex processes almost invisible.
Your key takeaways
Here are the key takeaways for your daily work with the platform:
- Context beats keywords: semantic search understands synonyms and living atmosphere (“bright”, “quiet”) better than any checkbox logic.
- Automation creates freedom: The combination of image analysis and text creation drastically reduces the manual effort required for listings.
- Security in the background: AI-supported fraud prevention filters out fake listings before they even go online – without any action on your part.
Next steps
Actively use the new possibilities for your success now:
- Challenge the search: open the app and enter your requirements in a complete sentence (e.g. “attic with lots of light for home office”). Test the limits of semantic recognition.
- Optimize your listings: As a provider, you should use the AI exposé generator. Upload only the raw data and photos and let the model formulate the sales text.
- Check the results: Compare the hit rate of the AI search with your classic search requests to make sure you don’t miss any more suitable properties.
Technology unfolds its greatest value when it takes work off our hands instead of creating new ones. The development at ImmoScout24 proves this: When marketing and product development become this smart, we end up with more time for the essentials – real creativity and finding a new home.
