The French real estate sector, traditionally focused on human relationships and trust, is now witnessing the emergence of generative artificial intelligence (AI). This technology, which enables automatic content creation (text, images, videos), has gained prominence with tools like ChatGPT and DALL-E. Its general adoption is rapidly progressing: 61% of French people consider AI a major technological advancement, and 26% have already tested it. However, professional use cases remain in their early stages—only 12% of business leaders in France report having used generative AI even occasionally. Real estate is no exception to this trend: facing a competitive market and increasingly connected clients, professionals are exploring the contributions of generative AI to gain efficiency and impact.

Concretely, generative AI opens a wide range of applications in real estate. It can improve the quality and personalization of property listings, optimize photographs, generate attractive videos, or facilitate virtual home staging. Agency networks and PropTech startups alike are developing tools to automate listing writing, create immersive virtual tours, or train agents through avatars and chatbots. However, these innovations also pose challenges: technical integration, team acculturation, regulatory compliance (GDPR), and above all, maintaining the human dimension.

Automation of Property Listings

Writing an impactful and comprehensive property listing is a delicate exercise. It requires describing the property accurately while sparking interest from potential buyers, all with an appealing style. Generative AI provides valuable assistance in partially automating this task. For example, real estate agents already use ChatGPT to quickly generate a draft description, or even a nearly final text, based on the property’s characteristics provided. The tool suggests effective phrasing, highlights strengths (brightness, location, etc.), and can adapt the tone according to the target audience (investors, families, first-time buyers…).

Beyond generic tools, specialized solutions for real estate have emerged. Outimmo, for instance, offers an AI-powered listing generator trained on billions of market data points. In just seconds, its algorithm produces a personalized and attractive text, incorporating key property information with polished phrasing. Similarly, French startup Syllabs has specialized in automatic content generation: its AI can write descriptions compliant with best copywriting practices, while leaving final control to the agent to adjust if necessary. The objective of these tools is twofold: save professionals time while optimizing listing quality. Generated texts are error-free and well-calibrated, which reinforces their credibility. They also incorporate relevant keywords for good SEO on portals and search engines, helping properties gain online visibility.

This writing automation brings genuine productivity gains. A real estate agent can, in just a few clicks, obtain a well-formulated listing draft that would have taken many minutes to write manually. They can thus devote more time to other value-added tasks, such as client follow-up or property showings. Of course, AI doesn’t do everything alone: the professional must review and validate the generated content to ensure its accuracy and legal compliance. But in most cases, the foundation provided by AI constitutes a solid framework that only needs marginal adjustments. Some tools even allow automatic translation of listings into multiple languages, thus opening access to international clientele without additional effort.

 

Virtual Agents and Employee Training

 

The customer experience in real estate is also evolving thanks to virtual agents. Many agencies have integrated chatbots into their website or social networks capable of conversing with users. These virtual assistants answer frequently asked questions 24/7, guide users toward appropriate listings, or collect their contact information for follow-up. Century 21 was a pioneer in this area, deploying a conversational bot on Facebook Messenger as early as 2017 to guide visitors in their searches. More recently, the Nestenn network launched a new generation of AI-powered chatbot: they integrated ChatGPT technology coupled with their internal knowledge base, allowing the bot to provide both precise and contextualized answers to users. It can thus explain technical or legal terms (housing assistance, energy regulations, etc.) by drawing on the network’s documentation base. The virtual agent becomes a highly effective first point of contact for informing the public and filtering requests, while human agents can focus on the most motivated clients.

These virtual agents don’t just serve clients: they are also valuable allies for real estate agents themselves in their daily work. Personal assistants integrated into business software are emerging. La Boîte Immo, for example, a solution provider for agencies, introduced Hektor Voice within its CRM software. This intelligent assistant executes voice commands to simplify salespeople’s lives: it can create a property listing, record a contact, or send a dictated email orally, without even using the keyboard. Most importantly, Hektor Voice can instantly provide answers to an agent’s questions on specific topics, such as legal regulations or tax details: the AI draws from its knowledge base and provides a validated answer in seconds. The virtual assistant thus fully plays its role as a facilitator for the professional.

 

Generative AI also plays a role in employee training in the sector. The Guy Hoquet network, for example, adopted an innovative approach for its e-learning by creating a virtual avatar of its president, Stéphane Fritz. In collaboration with agency Brainsonic.IA, they designed educational modules where this ultra-realistic avatar presents training content as if it were the executive in person. Concretely, after writing the script for a didactic video, a single real recording of the president reading the text is sufficient for the AI to generate his digital double reciting it. The result: the avatar speaks and moves naturally, creating the illusion of a genuine human presentation. The benefit for Guy Hoquet is being able to mass-produce training videos with a single presenter. According to Stéphane Fritz, this method saves considerable time, since a single initial recording suffices to feed all the network’s e-learning content; it offers unmatched flexibility for regularly updating modules and paradoxically humanizes the relationship with franchisees who see their president speaking directly to them. By the end of 2024, Guy Hoquet plans to create 200 training modules of this type, powered by AI. This bold approach positions the brand as a pioneer in immersive e-learning in real estate, and others may draw inspiration from this example to modernize their continuing education.

Several major real estate players in France have already embarked on the generative AI adventure, each in their own way. At Century 21, digital innovation is part of the strategy. Beyond the chatbot deployed early to interact with users, the network has explored AI tools to improve its internal processes. Recently, Century 21 France experimented with a conversational assistant named Cody to analyze complex legal documents. By feeding the AI legal texts or regulations, teams were able to obtain in just moments a clear and actionable summary of highly technical content. This assistance helps streamline certain administrative tasks and accelerate understanding of new regulations, where a lawyer or agent would have had to spend long hours deciphering.

For its part, Guy Hoquet primarily focuses on generative AI for training, as we’ve seen with its president’s avatar. This approach allows them to quickly disseminate best practices internally through modern and consistent content. Nestenn, meanwhile, has integrated AI into several dimensions of its operations. Its new-generation chatbot, powered by ChatGPT, was tested in several pilot agencies before being rolled out. Additionally, the group developed a plugin to automatically convert blog articles into audio. This makes them accessible to the visually impaired: this high-quality voice synthesis relies on deep learning algorithms via Amazon cloud services. Nestenn thus demonstrates that AI can be used not only to gain efficiency but also to enhance accessibility and customer experience.

Other established networks are also innovating. Orpi, with its 1,300 agencies in France, equipped its negotiators with Matterport cameras to easily generate 3D virtual tours of properties. As early as 2019, Orpi offered its clients the ability to discover properties remotely in full immersion, including with a virtual reality headset. The 2020 health crisis subsequently accelerated the adoption of these 360-degree tours throughout the sector. Beyond agency networks, real estate portal publishers and PropTech startups are also multiplying innovations. Voice search, AI-enhanced online valuations, for example, are signs that the entire industry is concerned.

 

Virtual Tours and Immersive Experiences

Property presentation has been spectacularly transformed through AI-powered immersive technologies. 360° virtual tours have become mainstream: it has become common to allow buyers to walk through a property online as if they were there. Professional solutions like Matterport or its French equivalent Virtual Visit have been massively adopted by agencies. AI integration brings a superior level of quality to these virtual tours. For example, Virtual Visit uses advanced algorithms to automatically retouch 360° images of a property. Brightness is corrected, colors enhanced, sharpness improved, so that each room appears at its best. It also offers virtual home staging, allowing the agent to digitally furnish an empty or under-construction room, or restyle an outdated interior, to help visitors envision themselves. Thus, even an empty property can transform into a warm and modern interior that buyers will discover during the virtual tour, without even realizing it’s a digital staging.

These immersive experiences don’t stop at still images. AI also enables automatic generation of presentation videos from virtual tours. In just minutes, you obtain a dynamic clip touring the property’s different rooms, enhanced with explanatory text or points of interest. These videos capture users’ attention more than a succession of static photos. It’s even possible, via a virtual reality headset, to visit a property remotely as if you were there. This total immersion allows for more effective property selection before traveling. For agencies, the benefit is clear: fewer unnecessary physical visits, better-informed and more convinced buyers, and ultimately faster transactions. Indeed, it has been observed that offering virtual tours increases the number of interested prospects by providing an engaging and convincing experience from the first online consultation.

 

Limitations and Challenges

 

Despite its impressive performance, generative AI will not make real estate professionals disappear. The human agent remains indispensable, particularly for their interpersonal skills, in-depth local knowledge, and ability to provide trustworthy advice. At the RENT 2024 trade show, Loïc Cantin (president of FNAIM) recalled that while AI is a powerful tool, it “remains incapable of interpreting the emotional and relational subtleties necessary for our profession.” For his part, Charles Marinakis (president of Century 21 France) emphasized that AI, however powerful, “does not bring experiential intelligence nor the ability to build strong relationships with clients.” In other words, automated tools can process information, but cannot negotiate a complex sale, calm a buyer’s anxiety, or creatively adapt to the unexpected in a transaction.

Moreover, generative AI can make errors if not properly controlled by humans. A striking example was reported by Loïc Cantin. When testing ChatGPT on writing a listing, it misinterpreted a legal concept (“private enjoyment of a small garden”) and reformulated it incorrectly. This changed the meaning and could have engaged the agent’s liability. This type of approximation shows that human vigilance is required to validate generated content. Additionally, AI does not natively possess local knowledge. It is unaware of neighborhood specifics, a property’s history, or a client’s implicit preferences—all crucial aspects where the real estate advisor’s expertise makes the difference.

Ethical and legal issues must not be neglected either. Using online services based on generative AIs raises the question of data confidentiality. It is imperative not to disclose sensitive client information (identity, personal situations, etc.) when using these tools, to avoid violating GDPR. Professionals must therefore be trained to use AI responsibly, maintaining control over parameters and choosing secure solutions. Since AI can generate highly convincing content, real estate agents must ensure transparency with clients: for example, indicating that an image has been virtually “retouched” or “furnished” to avoid any misrepresentation.

In short, generative AI should be considered an augmented assistant for the real estate agent, not a replacement. It’s a lever to accelerate low-value-added tasks, provide instant analyses or content, but humans retain the central role of strategist and guarantor of the client relationship.

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