aiqbench analysis
This empirical study reveals that while generative AI is actively reshaping real estate marketing in Germany, adoption remains uneven and heavily reliant on human-in-the-loop verification. The primary barriers to widespread implementation are not model limitations but rather challenges in data integration, document accessibility, and regulatory compliance. Consequently, the technology currently serves as a drafting assistant for agents who retain final decision-making authority over sensitive content.
Generative AI Use Cases In Real Estate Marketing: Adoption and Constraints in Germany
arXiv:2609.12684v1 Announce Type: new Abstract: Generative artificial intelligence (GenAI) is changing how work is organized and performed. Real estate marketing is a prime example of this, yet evidence of GenAI in real estate agents' day-to-day practice remains scarce. In this work, we report on our insights from a German-based empirical study with eleven semi-structured interviews. GenAI is already utilized across different activities, with marketing communication being the most prominent. Concrete use cases are emergent and unevenly adopted, with writing expos\'e texts being the only widely established one. Interaction is predominantly human-in-the-loop: GenAI drafts, structures, and retrieves, while real estate agents curate, verify, and decide. Constraints stem less from model capability than from integration with listings and documents, data availability, and compliance in sensitive tasks. The study contributes a grounded map of existing and potential use cases and identifies tentative practical implications for adoption.
Abstract:Generative artificial intelligence (GenAI) is changing how work is organized and performed. Real estate marketing is a prime example of this, yet evidence of GenAI in real estate agents' day-to-day practice remains scarce. In this work, we report on our insights from a German-based empirical study with eleven semi-structured interviews. GenAI is already utilized across different activities, with marketing communication being the most prominent. Concrete use cases are emergent and unevenly adopted, with writing exposé texts being the only widely established one. Interaction is predominantly human-in-the-loop: GenAI drafts, structures, and retrieves, while real estate agents curate, verify, and decide. Constraints stem less from model capability than from integration with listings and documents, data availability, and compliance in sensitive tasks. The study contributes a grounded map of existing and potential use cases and identifies tentative practical implications for adoption.
Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
arXiv:2609.12684 [cs.AI]
(or arXiv:2609.12684v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2609.12684 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 235 words
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