Websites AI cites most in Real Estate

The Real Estate category covers estate agencies, developers, property managers and building administrators, short-term rental and concierge services, coworking operators and companies that carry out mandatory property inspections. Their customers turn to AI assistants with three kinds of questions.

• Obligations: “which inspections are mandatory to sell a house”, “what is an energy performance certificate”, “can I rent out my main home on Airbnb”.
• Local providers: “best property management company in Nice”, “Airbnb concierge service on the Opal Coast”, “coworking space in central Lyon”.
• Money: notary fees, rental yield, property tax, management commission, service charges.

The first type is legal by nature, the second is local, and the third sits in between. That spread explains the variety of sources cited for this industry.

When a question touches an obligation, AI answers rely on official information. In France this means service-public.fr, the ministries in charge of the economy and of the ecological transition (which publish the rules on energy performance), the ANIL network of housing information agencies, and notaires.fr for sale procedures and fees. Belgium, Switzerland and other markets have their own national or regional equivalents.

When the question is local, the picture changes. Models draw on directories such as PagesJaunes, on review platforms such as Trustpilot, on listing portals like SeLoger or Leboncoin, on rental platforms like Airbnb, and on the websites of local agencies and service providers. Large developers and national networks also appear, mostly for new-build programmes and brand reputation.

Business software vendors show up occasionally as well, when a property manager or a coworking operator asks about rental management, CRM or booking tools.

A property question almost always has a place attached to it. Assistants that search the web (Perplexity, ChatGPT search, Gemini) look for pages that explicitly connect a service to a town or a neighbourhood, and for third-party evidence that the business really operates there: directory listings, reviews mentioning the area, local press.

A small concierge or inspection company can therefore be cited ahead of a national brand on a local query, if its pages name the area it serves, its prices and its certifications. The reverse holds too: a national site with one generic page per service rarely wins local questions.

For regulated activities such as property inspections, transactions or building management, credentials act as a filter. Certifications, professional licences (such as the professional card French agents must hold) and insurance details, written on the site, give the model a reason to recommend one business rather than another. In GEO (Generative Engine Optimization, the practice of earning mentions in AI answers), this mix of local and regulatory proof is the core of the work for property companies.