ChatGPT, Perplexity, and Gemini do not read the same sources, do not weight the same media, and do not construct answers the same way. For PR and communications teams, this means that a strategy optimized for one LLM is, by definition, incomplete. Building a multi-LLM workflow requires a structured understanding of which media sources each model consults by sector, combined with a distribution infrastructure that feeds all of them simultaneously. Wiztrust, through its integrated newsroom, wire distribution via GlobeNewswire, and AI visibility tracking powered by its partnership with GetMint, gives communications teams a single platform to manage this complexity and measure their share of AI voice across all three major LLMs.
| Value Box 💡 The value you will find in this content is a data-driven framework for PR and communications teams on how ChatGPT, Perplexity, and Gemini draw from different media ecosystems by sector, which sources to prioritize to build share of AI voice across all three, and how to structure a distribution and monitoring workflow that covers the full multi-LLM landscape simultaneously. |
Each major LLM (ChatGPT, Perplexity, Gemini) draws from different media ecosystems and requires a dedicated approach.
In the banking sector, 71.6% of media citations by LLMs are concentrated in just 10 sources, led by moneyvox.fr with 52.7% share of voice.
In IT services and consulting, the top 10 sources concentrate only 46.5% of citations, revealing a far more fragmented landscape requiring multi-channel RP coverage.
In French real estate, 10 media sources account for 50.6% of all LLM media citations across ChatGPT, Perplexity, and Gemini.
A multi-LLM workflow combines, a certified newsroom as the single source of truth, wire distribution for broad AI ingestion, and ongoing LLM visibility monitoring to track share of AI voice.
Senior communications professionals have spent years building SEO-optimized strategies around Google. The logic was simple: rank well on one dominant platform and visibility follows. That model no longer holds in 2026.
Today, a growing share of executives, investors, and journalists begin their research not with a Google search but with a prompt to ChatGPT, a query to Perplexity, or a question to Gemini. Each of these platforms constructs answers differently, consults different source pools, and weights media authority by different criteria. A brand that appears in ChatGPT responses may be invisible in Perplexity, and vice versa.
For PR and communications teams, this creates a structural challenge. Media relations programs, newsroom content, and press release distribution have historically been designed around a unified media ecosystem. In the LLM era, that ecosystem has fragmented into at least three distinct algorithmic environments, each with its own editorial preferences. LLMs use a wide variety of sources across different families to build their opinion. For communications teams in this sector, that means a large surface to cover.
The data confirms this divergence. Research conducted by Wiztrust in partnership with GetMint, analyzing over 28,200 links and 2,300 sources across multiple sectors, shows that source preferences vary significantly by model, by sector, and by query type. Understanding this fragmentation is the first step toward building a workflow that addresses it systematically.
The three dominant LLMs do not share a unified view of which sources are authoritative. Their divergence is observable at the sector level and should directly inform how PR teams allocate their media relations efforts.
In the banking sector, based on 3,945 analyzed media citations, reveals a landscape of exceptional concentration. The top 10 media sources account for 71.6% of all media citations, with moneyvox.fr alone capturing 52.7% of total media share of voice across all three LLMs.
The breakdown by model is instructive:
For a financial institution or insurance groups, this has direct strategic implications. Being absent from moneyvox.fr, avenuedesinvestisseurs.fr, or cafedupatrimoine.com means missing more than 70% of the LLM citation surface in your sector.
The picture changes dramatically in the IT services and consulting sector. Based on 1,312 analyzed media citations, reveals a much more distributed ecosystem. The top 10 sources account for only 46.5% of all media citations, and only two sources, namely zonebourse.com and channelnews.fr, are cited by all three LLMs.
The editorial universes consulted are also more diverse:
The LLM-level divergence is also more pronounced here. Perplexity accounts for 85% of all top-10 citations in this sector, while ChatGPT represents 8.5% and Gemini only 2.3%. Gemini in particular draws heavily from sources outside the top 10, including corporate content, consultancy publications, and B2B platforms. For communications teams in this sector, a strategy focused only on specialist tech media will miss a substantial portion of the LLM citation landscape.
The French real estate sector offers a third data point. Covering over 1,500 prompts and 10,600 links from approximately 2,700 distinct sources, shows that the top 10 media domains account for 50.6% of all editorial citations. lemonde.fr dominates for ChatGPT (8% share of voice), while Perplexity leans more heavily on infos.trouver-un-logement-neuf.com and Boursorama, and Gemini favors pointsdevente.fr and Capital.
The pattern is consistent across all three sectors: each LLM has its own editorial preferences, and no single media strategy covers all three simultaneously.
| Sector | Top 10 media concentration | Key divergence across LLMs | Strategic implication |
|---|---|---|---|
| Banking | 71.6% highly concentrated | All 3 LLMs favor specialist finance media; Gemini most concentrated (94.1%) | Prioritize finance/wealth media above all else |
| IT Services & Consulting | 46.5% fragmented | Perplexity dominates top-10 citations; Gemini draws from corporate and B2B content | Multi-channel RP across tech, financial, and economic press is required |
| Real Estate | 50.6% moderately concentrated | ChatGPT anchored on Le Monde; Perplexity on specialist portals; Gemini on business press | Diversify across generalist, specialist, and financial media by LLM target |
Source: Wiztrust x GetMint Barometers, 2026. Banking edition (April 2026), IT Services edition (June 2026), and real estate edition (March 2026).
Building a communications workflow that generates visibility across ChatGPT, Perplexity, and Gemini simultaneously is not a matter of producing more content. It is a matter of producing the right content, distributing it through the right channels, and monitoring the right signals.
A functional multi-LLM PR workflow rests on three interconnected layers.
LLMs do not randomly select sources. They consistently favor content that is structured, consistent, attributable, and indexed on authoritative platforms. An AI-ready newsroom is the foundation of any GEO strategy because it gives LLMs a stable, crawlable, and trustworthy reference point for your organization's official communications.
For a newsroom to function as an LLM source, it must meet the following criteria:
This structural discipline is not optional for organizations that want to appear in AI-generated responses. LLMs favor content that is self-contained, easily quotable, and built around specific factual claims.
A well-structured newsroom is necessary but not sufficient. LLMs are trained and updated based on what they find across the broader web, meaning that content living only on your own domain has a limited reach within their source pools. Wire distribution addresses this gap directly.
Industry research shows that press releases distributed through professional wire networks have entered the top tier of sources consulted by LLMs and AI-powered search engines. The mechanism is straightforward: wire distribution places your content on a dense network of high-authority media and financial platforms that republish or index it, multiplying the number of authoritative domains on which your information appears.
The GlobeNewswire integration within Wiztrust operationalizes this. Independent benchmarks show that GlobeNewswire releases drive up to 2.3 times more unique readership per press release compared to non-wire distribution. More relevant to LLM visibility, each publication via GlobeNewswire increases the number of authoritative third-party domains on which your content is indexed, which is a direct input to how LLMs assess the credibility and relevance of a source.
The practical advantage for communications teams is that the entire workflow, from content creation and approval in the Wiztrust newsroom to wire distribution via GlobeNewswire, operates from a single interface without additional exports or manual steps.
The third layer of a functional multi-LLM workflow is measurement. Without systematic monitoring of how each LLM references your brand, across which topics, and through which third-party sources, communications teams are operating without feedback.
Effective monitoring of LLM visibility involves tracking:
Wiztrust's partnership with GetMint makes this level of monitoring operationally accessible for communications teams. GetMint tracks brand appearances across LLM-generated responses, extracts the URLs cited in those responses, and produces a structured view of which media sources are driving your AI visibility today. This intelligence directly informs where RP efforts should be concentrated to improve share of AI voice.
The sector-level data from Wiztrust x GetMint barometers points to a clear operational principle: effective media relations for LLM visibility is not about reaching as many outlets as possible. It is about systematically feeding the specific sources that each LLM consults within your sector.
The practical steps follow logically from the data:
One important nuance: the strategy must account for the fact that different LLMs respond to different actions. Meaning that optimizing your owned content for machine readability, structured data, and clear factual claims matters as much as earned media placement. This is where Wiztrust Protect's blockchain certification adds a layer of verifiability to press releases and corporate publications, reinforcing the authenticity signals that AI systems use to assess source credibility.
The shift to multi-LLM communications workflows requires an equivalent shift in measurement frameworks. Traditional PR metrics, such as media impressions and share of voice in editorial coverage, remain relevant but are insufficient on their own.
The metrics that matter most for LLM visibility in 2026 are:
These metrics require dedicated tooling. Manual prompt testing provides a starting point, but consistent measurement across three LLMs, multiple query categories, and evolving source pools is operationally intensive without automated tracking.
The evidence is clear and consistent across sectors: ChatGPT, Perplexity, and Gemini construct their answers from different source ecosystems, and no single PR strategy optimizes for all three simultaneously.
For PR and communications teams operating in 2026, this means that the fundamental architecture of the discipline must evolve. Earned media coverage, structured newsroom content, wire distribution, and LLM visibility measurement are no longer separate activities. They are interconnected inputs into a single communications infrastructure designed to generate and sustain share of AI voice.
The key principles for building a functional multi-LLM communications workflow are:
Wiztrust brings these capabilities together in a single platform: an AI-ready newsroom, native wire distribution via GlobeNewswire, integrated media monitoring with partners including Cision and Talkwalker, and LLM visibility tracking through the GetMint partnership. For communications teams managing the complexity of multi-LLM visibility, this integrated approach removes the operational friction of managing disconnected tools and provides a coherent view of performance across the full earned media and AI citation landscape.
The window to build a structural advantage in LLM visibility is open now. The brands that establish consistent citation authority across ChatGPT, Perplexity, and Gemini today will be significantly harder to displace as these platforms become the default research environment for investors, journalists, and decision-makers.
Do ChatGPT, Perplexity, and Gemini really consult different sources?
Yes, and the divergence is significant. Sector-level data from Wiztrust x GetMint barometers shows that source preferences vary substantially between models. In banking, 94.1% of Gemini's editorial citations come from finance and wealth management media, while ChatGPT allocates 7.3% to generalist press. In IT services, Perplexity generates 85% of all top-10 media citations while Gemini draws heavily from corporate and B2B content outside the editorial top 10. Building visibility in only one LLM leaves substantial gaps in the others.
How many media sources should a communications team focus on for LLM visibility?
The sector barometers suggest that a relatively small number of sources drives the majority of citations in any given sector. In banking, just 10 media domains account for 71.6% of all LLM media citations. In IT services and consulting, the top 10 account for 46.5% but require coverage across tech B2B, financial, and economic press simultaneously. In practice, a focused list of 15 to 25 priority media outlets, mapped against LLM citation data for your specific sector, is more effective than a broad media list.
What is the role of wire distribution in LLM visibility?
Wire distribution places your content on a network of high-authority media and financial platforms that LLMs index and draw from during response generation. Each additional authoritative domain on which your press release appears increases the probability that it enters LLM source pools. Independent benchmarks show that GlobeNewswire-distributed releases achieve up to 2.3 times more unique readership per release, which directly translates into a larger footprint within LLM retrieval ecosystems.
How can I measure my brand's visibility in AI-generated responses?
The most effective approach combines structured manual testing, where you run representative queries across ChatGPT, Perplexity, and Gemini and document which sources are cited, with automated tracking tools that monitor LLM responses at scale. Wiztrust's partnership with GetMint provides communications teams with a structured view of their share of AI voice, the third-party sources fueling LLM responses about their brand, and competitive benchmarking within their sector.
Is a single newsroom enough to generate visibility across all three LLMs?
A well-structured newsroom is a necessary foundation, but it is not sufficient on its own. LLMs weight third-party editorial citations more heavily than owned content in most query categories. Sector data shows that between 60% and 85% of LLM response content originates from earned media rather than corporate sources. A newsroom becomes fully effective when combined with a proactive earned media strategy targeting LLM-indexed sources and systematic wire distribution that places content on high-authority third-party domains.