Results: a highly concentrated media landscape
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.
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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.
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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.
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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.
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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.
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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.
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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.
The 10 media outlets most often cited by AI:
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:
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Le Monde
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Boursorama
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Infos.trouver-un-logement-neuf.com
The three main media sources cited by Gemini are:
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Pointsdevente
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Capital
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Boursorama
The three main media sources cited by Perplexity are:
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Infos.trouver-un-logement-neuf.com
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Challenges
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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.
Conclusion: How can communications teams gain visibility with AI?
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.
FAQ on AI visibility and generative engine optimization:
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.
