Summary:
In this article, you will discover the 10 media sources most cited by ChatGPT, Gemini, and Perplexity, according to a study conducted with GetMint based on more than 1,500 prompts and the analysis of 10,600 links from approximately 2,700 distinct sources. This analysis was conducted over a one-month period, from January 9 to February 9, in order to collect a significant and representative volume of real estate-related queries. To find out what concrete actions you can take to be cited more often by AI, contact a Wiztrust expert who can analyze your current footprint and propose a tailored action plan.
Key points to remember:
AI response engines are becoming the first port of call for many decision-makers seeking information about French real estate; being cited in their responses now has a direct impact on reputation, credibility, and perceived leadership.
Analysis of approximately 2,700 sources shows that a few media outlets, including Le Monde with an 8.23% share of voice, account for the majority of citations and should therefore become priorities for PR, SEO, and GEO programs.
A structured PR and GEO strategy, supported by AI visibility tracking tools, makes it possible to audit how models describe a brand, identify the third-party URLs that feed these responses, and then correct or amplify this narrative over time.
Table of contents:
Why is visibility in AI crucial for French real estate brands?
A major window of opportunity for PR and corporate communications
According to our study, what are the preferred media channels for French real estate brands?
Conclusion: How can communications teams gain visibility with AI?
Visibility in AI has become a major strategic issue for French real estate brands. Investors, customers, and partners are gradually abandoning traditional search in favor of AI-powered response engines such as ChatGPT, Perplexity, and Gemini. Instead of browsing through pages of links, users now receive a synthesized response from a small number of sources deemed reliable: a brand is therefore either integrated into this narrative or absent from the decision-making process.
For listed companies, whose valuation depends on reputation, sentiment, and public trust, this has three major consequences:
Market perception and authority: if AI tools regularly cite your competitors to illustrate trends or investment opportunities, but rarely mention your brand, they gradually become the “authority” in the sector, regardless of your actual market weight.
Transfer of trust: When AI highlights your projects, data, and expert opinions, the perceived neutrality of these platforms reinforces your leadership, much like the media and analyst ratings did in the past.
Silent invisibility: Many investors, journalists, and decision-makers now use AI as their initial research tool. Being absent from their results subtly weakens the perception of your relevance, even if your fundamentals remain solid.
Recent analyses indicate that approximately 60 to 85% of AI-generated responses come from earned media content rather than owned content. What journalists write about you therefore has a significant impact on how AI models describe your brand. Press relations are becoming crucial: every quote in an article on housing feeds into AI responses.
If you have a low profile, your competitors may appear to be more advanced in terms of sustainability, strategy, or innovation, even if they have similar indicators. For communications and investor relations, shaping what AI says about you influences the examples cited by analysts, the ESG valuation of your projects, and the perceived strength of your stock market history.
Thus, obtaining media coverage, publishing expert content in the right media, and optimizing your online presence through SEO now determine how AI talks about your brand. Communication choices are becoming real levers of visibility in AI, and no longer just traditional media coverage.
To understand why this is a strategic moment and how to act, check out our white paper, which explains why AI represents the greatest opportunity today for communicators and press relations, and details the practical steps for building a lasting presence in AI-generated narratives.
For this analysis, more than 1,500 prompts were sent to several AI models on six major real estate topics (rental management, development, new housing, premium offices, etc.) via the GetMint platform. The responses identified 10,600 links from approximately 2,700 distinct sources, which were then standardized by site name.
These domains were divided between media sources (press, news sites, specialized media) and non-media sources (corporate, brokers, institutions, encyclopedias), and then only the media sources were retained, resulting in 102 titles actually used by AI to discuss real estate in France. Finally, these 102 media outlets were ranked by total number of citations in order to establish the top 10 most influential editorial sources in LLM responses.
When generating responses about the French real estate sector, language models (LLMs) do not treat all sources of information in the same way. Certain areas recur frequently in responses relating to developers, listed real estate companies, or asset managers, forming a sort of “reading list” for AI in this sector.
In order to identify the sources most frequently cited by AI today, a targeted study was conducted with GetMint, an AI content visibility tracking platform and partner of Wiztrust, focusing on the following topics: Rental management, Real estate development, New housing, Property management, Urban residential, and Premium offices.
On this set of topics, the models were tested on more than 1,500 prompts, which led to the consultation of more than 10,600 links from approximately 2,700 distinct sources.
All of the areas mentioned were then ranked from most to least mentioned, which made it possible to establish a list of the 102 media outlets most frequently used by LLMs to answer questions about real estate in France. In this analysis, only earned media were included, while corporate websites, public forums, social networks, comparison sites, review platforms, and encyclopedic resources were excluded in order to better isolate the titles that truly shape AI perception.
The sample reveals a highly concentrated landscape: the top ten media outlets account for 50.6% of media citations. Information is polarized around a few reference sources, combining generalist media, specialized portals, and professional publications.
Among them, lemonde.fr occupies a central position and represents the main source of visibility for ChatGPT, with high scores in visibility and competition. In other words, Le Monde remains the reference that the model uses whenever it needs a generalist media outlet with strong legitimacy.
Next, infos.trouver-un-logement-neuf.com stands out for its thematic specialization. This portal, focused on residential promotion and new home purchases, acts as a true hub for content related to new housing. Citations from this site are distributed among the three models, but Perplexity relies on it more heavily, particularly when dealing with issues of competition, players, and offers.
At the same time, financial sources such as boursorama.com and tradingsat.com play a key role in structuring responses related to markets and real estate values. On the one hand, Boursorama is an essential mainstream media outlet used by all three models, but more intensively by Perplexity, which uses it to refine the tone of its responses and assess the perception of the companies mentioned. On the other hand, Tradingsat takes a more specialized approach to the stock markets, and all quotes associated with it come exclusively from Perplexity.
In addition, general economic media such as capital.fr and challenges.fr help to reinforce the analytical dimension of the corpus. On the one hand, Capital serves as a basis for Gemini and Perplexity to address topics related to the economy, investments, and taxation. On the other hand, Challenges is used in a targeted manner by Perplexity, mainly for the purpose of comparing players, operations, or market segments.
Finally, several professional publications round out this media landscape. pointsdevente.fr is positioned as a leading media outlet in the field of commerce and commercial real estate, with Gemini making a significant contribution to its competitive dimension. Pierrepapier.fr, meanwhile, specializes in collective real estate investments and is a major source for Perplexity, particularly when it comes to portfolio structuring and comparing offers.
Lemoniteur.fr, a long-standing media outlet covering construction and urban planning, is only used occasionally by ChatGPT, reflecting the still limited use of this specialized publication. Finally, businessimmo.com appears to be a point of convergence between the three models. Although its role varies depending on the AI, it tends to be used by ChatGPT for presenting information and by Perplexity and Gemini for market analysis and competitive perspective.
Thus, analysis of the corpus shows that media coverage is not only distributed according to the topics covered, but also according to the exploitation strategies specific to each AI model, which prioritize visibility, specialization, or analytical dimension in turn.
For communicators and communications directors, the implication is clear: media coverage obtained within a small circle of influential players has a disproportionate impact on how AI talks about the French real estate market. In this study, 102 media sources cited by AI were identified as being used to generate responses on real estate, and the table below highlights the 10 most frequently cited areas.
Table: Main media sources cited by AI in the French real estate sector
| Rank |
Media domain |
Number of citations (by média) | Share of voice over all media sources | LLMs that cited the source |
|---|---|---|---|---|
| 1 | lemonde.fr ⭐ | 48 | 8 % | ChatGPT |
| 2 | infos.trouver-un-logement-neuf.com | 36 | 6 % | ChatGPT, Gemini, Perplexity |
| 3 | boursorama.com | 33 | 6 % | ChatGPT, Gemini, Perplexity |
| 4 | tradingsat.com | 32 | 5 % | ChatGPT, Gemini, Perplexity |
| 5 | capital.fr | 29 | 5 % | Gemini, Perplexity |
| 6 | pointsdevente.fr | 27 | 5 % | ChatGPT, Gemini, Perplexity |
| 7 | pierrepapier.fr | 24 | 4 % | Gemini, Perplexity |
| 8 | lemoniteur.fr | 24 | 4 % | ChatGPT |
| 9 | challenges.fr | 23 | 4 % | Perplexity |
| 10 | businessimmo.com | 19 | 3 % | ChatGPT, Gemini, Perplexity |
As the results of our study show, not all AI models rely on the same media in the same way. Some headlines are mainly picked up by ChatGPT, others by Perplexity or Gemini. In our study, we found that:
The three main media sources cited by ChatGPT are:
Le Monde
Boursorama
Infos.trouver-un-logement-neuf.com
The three main media sources cited by Gemini are:
Pointsdevente
Capital
Boursorama
The three main media sources cited by Perplexity are:
Infos.trouver-un-logement-neuf.com
Challenges
Tradingsat
This means that, depending on the target audience (general public, professional use, investment research, etc.), media priorities are not exactly the same. This information therefore allows a PR team to more accurately target the media that will have the greatest impact on brand visibility in AI-generated responses.
These 10 sources alone account for 50.6% of all media mentions of real estate. In other words, gaining visibility in this small core of media directly influences how ChatGPT, Gemini, and Perplexity formulate their responses on the French real estate market.
Communications and SEO teams that want to appear in AI-generated responses need more than just a public relations plan. They need to implement an organic PR and media strategy aligned with how LLMs actually collect and reuse information in the French real estate ecosystem.
Since these models rely heavily on a small list of authoritative domains, the challenge is to systematically feed these sources. This means that PR and communications teams in the real estate sector must strive to structure important announcements, including key results or projects, and publish them in the media outlets that appear in this top 10.
Discover the concrete steps you can take to be cited more often by AI, using a PR tool such as Wiztrust. Speak with an expert.
💡 Case study: Discover how Nexity became the benchmark for connected real estate thanks to Wiztrust.
Question: How can I strengthen my brand's presence in AI responses?
Answer: The most effective method combines structured content (clear facts, FAQs, semantic tags) with authority from reliable third-party sources (media, industry reports, comparison sites, review platforms), which encourages generative engines to consider you a credible reference.
Question: How can PR and GEO work together to improve visibility in AI?
Answer: PR ensures mentions in media outlets already favored by AI, through interviews or market research that reinforce authority. At the same time, GEO ensures that this content is consistent, machine-readable, and easily usable by LLMs. Together, they enable the brand to move from being indexed to being regularly cited in AI responses.
Question: How can I track the sources that AI uses to talk about my brand?
Answer: Teams typically combine manual query testing with AI visibility tracking tools that record your appearances, extract cited URLs, analyze sentiment, and compare your share of voice with that of your competitors over time. This source-by-source view reveals the areas that currently support your AI presence and where targeted PR or content efforts will have the most impact.