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Value Box 💡 |
The table below maps four content categories against their AI citation potential. The contrast explains why Communications Directors who rely primarily on owned channels are structurally underperforming in AI-generated answers.
| Content Type | AI Citation Potential | Primary Reason |
|---|---|---|
| Earned media: press coverage, expert quotes, bylined articles | Very high | Primary training and retrieval source for LLMs |
| Wire-distributed press releases | High | Structured, timestamped, syndicated across authority domains |
| Owned newsroom and blog content | Moderate | Treated as promotional; lower weight in LLM retrieval |
| Paid advertorials and sponsored content | Very low | Flagged as non-independent by AI retrieval systems |
| Social media posts | Low | Inconsistently indexed across LLMs |
The AI Visibility Score, often referred to as share of AI voice or AI citation rate, measures how frequently and how accurately your brand, executives, and key messages appear in responses generated by large language models such as ChatGPT, Gemini, Perplexity, and Google AI Overviews. It is a fundamentally different metric from traditional SEO performance: a company can rank on the first page of Google and remain largely invisible in AI-generated answers.
This gap is widening fast. According to Gartner, traditional search engine volume is projected to fall 25% by 2026 as users shift to conversational AI interfaces. Nearly seven in ten searches now resolve without a website visit at all. For a communications director, the narrative your brand controls in AI responses is increasingly the narrative that journalists, analysts, investors, and decision-makers encounter before any direct contact.
Understanding how corporate reputation is built and measured across digital channels has always been a core competency for DirComs. In 2026, that competency now extends directly into AI-generated responses, where your brand's reputation is shaped by the sources LLMs choose to cite, not by the content you publish about yourself.
Concretely, tracking an AI Visibility Score means monitoring four dimensions:
A significant majority of AI Overview citations come from pages outside the organic top 10, confirming that AI visibility is a distinct discipline that requires its own dedicated strategy, separate from traditional SEO.
The answer lies in how large language models are trained and how they select sources at retrieval time. LLMs replicate the trust patterns that exist in the real world, and in the real world, independent editorial coverage carries more inherent credibility than any content a brand authors about itself.
Muck Rack's longitudinal research, spanning three study editions between July 2025 and May 2026, found that between 82% and 89% of AI citations come from earned media, with journalism alone accounting for 25-27% of all cited sources across ChatGPT, Gemini, and Perplexity. Additional analysis across 500+ brands found that 68% of AI citations come from third-party sources, leaving only 32% attributable to brand-owned websites.
These figures are not incidental. LLMs assign authority based on three compounding signals:
Earned media delivers all three simultaneously. Owned content, however well-written and technically optimized, delivers none of them in isolation.
A second structural mechanism reinforces this. Brand mentions now correlate three times more strongly with AI visibility than backlinks, with a correlation coefficient of 0.664 versus 0.218 for links. The presence of your brand name in authoritative editorial contexts matters more than any link based metric for driving AI citation frequency. For communications directors, this is a direct, quantified argument for reweighting investment toward media relations and press coverage.
This is precisely why integrating wire distribution into your newsroom workflow has become a GEO priority, not just a distribution convenience. Every wire distributed release enters a global, AI-indexed network that multiplies the corroboration signals LLMs rely on to form and validate their responses.
The Wiztrust x GetMint barometers, provide the most granular sector level dataset available on which media outlets LLMs actually cite when answering questions about specific industries in France. Each edition submits a corpus of real-usage prompts to ChatGPT, Gemini, and Perplexity, then maps and ranks every cited source by share of voice.
The cross-sector comparison below is built entirely from three published editions and reveals a structurally important finding: the degree of media concentration varies sharply by sector, and so does the required PR strategy.
| Sector | Barometer | Sources analyzed | Top 10 concentration | #1 outlet | #1 share of voice |
|---|---|---|---|---|---|
| Banking | April 2026 | 3,945 citations from 2,300+ sources | 71.6% | moneyvox.fr | 52.7% |
| Real estate | March 2026 | 10,600 links from 2,700+ sources | 50.6% | lemonde.fr | 8.23% |
| IT services and consulting | June 2026 | 1,312 citations from 2,100+ sources | 46.5% | zdnet.fr | 7.1% |
In banking, the concentration is extreme. The top 10 outlets account for 71.6% of all AI citations on banking topics. More strikingly, moneyvox.fr alone captures 52.7% of all media citations in the sector, representing 2,080 of the 3,945 citations analyzed. This level of single outlet dominance has no equivalent in any other sector studied to date.
The editorial universe is equally narrow: 70.5% of all banking citations come from specialized finance and wealth management media. General interest press represents only 7.5% of ChatGPT's banking sources, and 0% of Gemini's. For communications directors at French banking institutions, the strategic conclusion is unambiguous: presence in moneyvox.fr, cafedupatrimoine.com, and portail-patrimoine.com, the only three outlets cited by all three LLMs simultaneously, is the minimum threshold for AI visibility in this sector.
In real estate, the top 10 media account for 50.6% of AI citations. Le Monde holds an 8.23% share of voice as the dominant source for ChatGPT. Boursorama and infos.trouver-un-logement-neuf.com follow as key sources across multiple models. Critically, ChatGPT, Gemini, and Perplexity do not draw from the same media: each model has a distinct primary source, requiring DirComs to target publications across the full model spectrum rather than a single dominant outlet.
In IT services and consulting, the editorial environment is far more distributed. The top 10 outlets account for only 46.5% of citations. The leading outlet, zdnet.fr, captures just 7.1% of the total. No single media outlet comes close to dominating the field. Influence is spread across five distinct editorial universes: Tech and digital, Finance and bourse, Economy and business, General press, and Institutional sources.
The LLM split is particularly striking: Perplexity contains at least one of the top 10 media in 61.0% of its responses in this sector, ChatGPT in only 24.2%, and Gemini in just 7.8%. As Raphaël Labbé, CEO of Wiztrust, noted in the June 2026 edition: "The fragmentation of sources in this sector is strong compared to banking. LLMs use a wide variety of sources across different editorial families to form their responses. For communications teams in this sector, that means a large surface to cover, especially since the LLMs themselves are very heterogeneous from one another."
The strategic implication is direct: a PR strategy focused on a single editorial category is structurally blind to a significant share of AI-generated responses in IT services and consulting. Effective AI visibility here requires simultaneous presence in B2B tech press, financial and investment media, and mainstream economic press.
Not all earned coverage contributes equally. Based on how LLMs retrieve and rank sources, these formats consistently generate the strongest AI citation signals:
High-impact earned formats:
Lower-impact formats:
The co-occurrence principle reinforces this hierarchy in practice. When your brand and executives are quoted in proximity to other authoritative entities in high credibility publications, LLMs begin to associate your brand with those topics and those authority signals. That association accumulates over time and becomes the foundation of a durable AI Visibility Score that competitors cannot replicate through technical SEO alone.
Improving AI Visibility Score requires five concrete operational shifts in how communications directors plan and execute their media strategy:
1. Audit your current AI footprint before adjusting anything. Map how ChatGPT, Gemini, and Perplexity currently describe your brand. Identify which third party sources feed those responses, which messages are accurate, where inaccuracies appear, and where competitors are displacing your narrative. Without this baseline, any reallocation of PR effort is directionally uncertain.
2. Reprioritize your media target list by AI citation weight, not audience size. As the Wiztrust x GetMint barometers demonstrate sector by sector, traditional audience reach metrics do not predict AI citation frequency. A specialized wealth management outlet that LLMs cite consistently in banking contributes more to AI visibility than a general interest title with ten times the readership that AI engines rarely consult. Reprioritize your media list accordingly.
3. Structure every piece of content for machine extraction as well as human reading. LLMs favor content that is self contained, factually precise, and formatted for clean extraction. That means explicit data points with named sources, question and answer sections, clear executive quotes, and structured metadata on every published asset. As our analysis of media-AI licensing deals makes clear, commercial agreements between publishers and AI platforms now shape which earned coverage actually enters AI retrieval systems. Knowing which of your priority outlets are AI-accessible is essential input for any serious media planning process.
4. Increase distribution reach through wire services and certified partner networks. Broad, multi domain distribution is the most direct lever for increasing AI citation frequency. Brands that reach AI-indexed networks through professional wire distribution multiply the number of high authority domains that carry their content, directly improving the corroboration signals that LLMs rely on. This lever is especially important in fragmented sectors like IT services and consulting, where no single media outlet dominates and coverage breadth determines AI presence.
5. Measure AI visibility separately from traditional media analytics. Share of AI voice, citation frequency across LLMs, and sentiment accuracy in AI responses are now required KPIs for any communications director claiming to manage reputation in 2026. They do not appear in standard press review dashboards unless the measurement infrastructure is specifically built for them. Communications directors who embed this measurement into their quarterly reporting gain a decisional advantage that compounds over time.
Improving earned media strategy addresses the supply side of AI visibility. Measuring its impact on citation frequency addresses the demand side. This is where Wiztrust and the Wiztrust x GetMint partnership close a structural gap that most communications platforms leave open.
Wiztrust Data enables communications departments to connect earned media actions directly to performance outcomes, linking each press placement, each wire distribution, and each expert citation to measurable changes in AI citation frequency over time. Combined with GetMint's monitoring infrastructure, teams can track in real time which outlets are being cited by ChatGPT, Gemini, and Perplexity when those systems answer questions about their company, sector, and executive team.
The performance evidence from Wiztrust's 2026 CAC 40 benchmark quantifies the advantage. Wiztrust newsrooms achieve an 80% GEO citation rate, compared to a 57% industry average across comparable enterprise platforms. CAC 40 companies using Wiztrust are 66% more likely to appear among the first sources returned by generative AI systems, and their content is 2.5 times more likely to reach the top position on Google. That gap is a direct result of the platform combining a GEO-optimized content architecture, native Google News integration, blockchain-certified content authenticity via Wiztrust Protect, and real-time AI citation monitoring through the GetMint partnership.
For communications directors building the internal case for PR-led GEO investment, our guide to choosing the right integrated PR management solution provides the full framework for connecting communications operations to measurable AI visibility outcomes. And for those starting with the fundamentals of corporate communication strategy, the shift toward AI-indexed newsrooms and wire-first distribution is the single most consequential infrastructure decision of 2026.
Why does earned media drive AI citations more than owned content or paid placements?
LLMs prioritize independent, third party sources because corroboration across multiple independent sources is a core credibility signal in how they evaluate information reliability. A claim that appears consistently across several authoritative publications carries far more weight than one that exists only on a brand's own website. Muck Rack's longitudinal research (2025-2026) consistently found that between 82% and 89% of AI citations come from earned media. The practical consequence is that every press mention in an authoritative outlet is now a direct technical input into your AI Visibility Score, not only a reputational asset.
What is the AI Visibility Score and how is it calculated?
The AI Visibility Score measures how frequently and accurately your brand, products, and executives appear in responses generated by LLMs such as ChatGPT, Gemini, and Perplexity. It captures citation frequency across models, sentiment accuracy relative to your actual communications strategy, and share of AI voice compared to sector competitors. Unlike traditional media metrics, it reflects performance on the growing proportion of searches that resolve inside AI responses rather than through ranked links. Wiztrust Data, combined with the GetMint partnership, measures this KPI at sector and brand level on a continuous basis.
How quickly can a Communications Director see improvement in AI Visibility Score?
Most organizations see measurable improvement within 90 to 120 days when they combine three actions: increasing earned media frequency in AI-cited outlets, restructuring their newsroom content for LLM extraction through schema markup, sitemaps, and freshness signals, and distributing press releases through professional wire services with broad multi domain reach. The Wiztrust x GetMint barometers identify, sector by sector, which specific outlets will generate the highest AI citation return on PR investment.
Does ranking well on Google guarantee visibility in AI-generated answers?
No. A significant and growing share of AI Overview citations come from pages outside the organic top 10, and the overlap between Google's top ranked pages and AI-cited sources has declined substantially since mid 2025. Strong SEO and strong GEO require different, though complementary, strategies. A communications director who manages only one without the other is leaving a growing portion of their stakeholders' information journey unaddressed.
Which media outlets should a Communications Director prioritize for AI visibility in France?
The answer varies by sector and by LLM, which is precisely what the Wiztrust x GetMint barometers are designed to answer. In banking, moneyvox.fr alone drives 52.7% of AI citations and is the non negotiable priority. In real estate, Le Monde leads at 8.23% share of voice for ChatGPT, while Boursorama and specialized residential portals matter for Perplexity and Gemini. In IT services and consulting, no single outlet dominates: effective AI visibility requires simultaneous presence in B2B tech press, financial media, and economic press across all three models. Media prioritization decisions made without this sector-specific AI citation data are missing the most operationally relevant input available in 2026.
The press mention you secure today in a sector authoritative outlet is no longer only a reputational signal. It is training data. It is a retrieval signal. It is how ChatGPT and Perplexity will describe your brand to the analyst running a query next month. Building a communications strategy around that reality is the baseline requirement for sustained visibility in the information environment your stakeholders already inhabit.
To audit your current AI Visibility Score and build a PR for GEO strategy aligned with your sector's media landscape.