SESAMm’s AI-generated ESG Assessment Reports deliver fast, sharp insights into the ESG performance, risks, and controversies of leading global companies in under 30 minutes. Designed for investors, risk teams, and sustainability leaders, they surface the issues that matter most for due diligence and portfolio oversight. In this edition, we dive into LVMH, one of the world’s largest luxury groups, to see how its sustainability ambitions stack up against the challenges it faces. Explore the summary below or fill out the form to receive your own free AI-generated report.
ESG AI Screening Report Summary: LVMH
LVMH Louis Vuitton Moët Hennessy SE (LVMH) is a leading French multinational conglomerate in the luxury goods sector, with a diverse portfolio of 75 brands across fashion, wines, spirits, cosmetics, and more. Despite its strong market position, LVMH faces significant ESG challenges. A major red flag is the €8 million fine by the French Autorité des Marchés Financiers for failing to disclose its acquisition of a stake in Hermès, highlighting governance and transparency issues. The company has been criticized for environmental impacts, including deforestation linked to its leather supply chain and allegations of greenwashing. Social risks are also prominent, with labor exploitation cases in its supply chain and allegations of workplace harassment.
However, the luxury goods industry inherently faces severe ESG risks due to high scrutiny and frequent controversies, such as cultural appropriation and labor issues. LVMH's ESG reporting is comprehensive, with detailed disclosures on environmental and social initiatives, but the presence of significant controversies suggests a need for improved governance and transparency.
Sustainability trends have become ubiquitous in the business world, mainly due to the attention ESG is receiving. To state the obvious, this is a positive trend as it helps push companies to consider their impact on the environment, employees, and customers and ensure their governance practices are sound. However, it also incentivizes actors in the business world to try to game the system through marketing campaigns to improve their reputation.
Through the use of artificial intelligence and other technologies, we embarked on a mission to analyze the sentiment on the web and uncover to what extent companies are incurring reputational laundering techniques to deceive investors, customers, and other stakeholders but also to identify the ones that are actually performing actions to have a positive impact around them.
This analysis dives into the concept of greenwashing and reputational laundering. It reveals the nuanced interplay between genuine sustainability efforts and deceptive practices, offering a new lens to distinguish genuine from false corporate sustainability claims.
Beyond Greenwashing: Reputational Laundering
Let’s start with some definitions. Reputational laundering is deliberately hiding unethical behavior with highly visible positive actions. Greenwashing is just one component of reputational laundering. Another component is the social aspect of it, and it includes various forms of color washing such as purplewashing, pinkwashing, purpose washing, etc. So far, in 2023, greenwashing accounted for 55% of all the volume of reputational laundering mentions on the web. So, the remaining 45% represents color-washing.
TerraChoice defines greenwashing as “the act of misleading consumers regarding the environmental practices of a company or the environmental performance and positive communication about environmental performance."
Colorwashing, on the other hand, refers to a strategy used by organizations to create a positive public image by associating themselves with specific causes, ethics, or moral standpoints.
Beyond the conventional understanding of deliberate greenwashing, there’s a more nuanced concept and less discussed: unintentional greenwashing, where companies inadvertently convey misleading environmental claims. This can occur due to a lack of understanding of the true impact of their products or services, unverified claims, overlooking hidden consequences, unintentional confusion in marketing materials, or insufficient transparency. While these companies may not have malicious intent, their actions can inadvertently misrepresent their environmental efforts and mislead consumers about their commitment to sustainability.
Reputational laundering at a glance
Figure 1: Reputation laundering mentions.
Over the past eight years, reputational laundering mentions have increased steadily. However, from 2021 onwards, they’ve grown a staggering 3.3x. The mentions of reputational laundering are coming from different topics, from false advertising, and misleading practices to lawsuits regarding greenwashing. Furthermore, we have observed a growing number of references regarding the declining trust of the public in corporate pledges, such as those related to 'net-zero' climate goals.
This increase can be attributed to two main reasons: the actual increase in reputational laundering and, more interestingly, the growing awareness from stakeholders (i.e., Investors and eco-conscious consumer base).
According to a report published by the UN Environment Programme (UNEP), climate change lawsuits have continuously surged over the past five years. Consequently, we analyze mentions of lawsuits related to environmental breaches and detect a significant increase in 2021 – which continues to the present day.
While greenwashing often dominates the conversation around reputational risks, it's crucial not to overlook the social dimension, which tends to receive less attention from the public. Since 2020, we've observed a significant uptick in mentions of greenwashing and its less-discussed counterpart, colorwashing.
Historically, up until 2020, the distribution of mentions leaned toward one-third greenwashing compared to two-thirds colorwashing. However, post-2021, this pattern has shifted. We've witnessed a rise in the frequency of greenwashing mentions, surpassing those of colorwashing and signaling an evolution in the focus of reputational laundering concerns.
Figure 3: Breakdown by type of washing.
During the COP27 conference at the end of 2022, a call was made to verify carbon and other environmental claims and show zero greenwashing tolerance. As a result, there has been a rise in scrutiny, and data now shows an increase in the number of allegations related to greenwashing. Here are a few examples:
In analyzing advertisements, we found instances of reputational laundering through various means. Some companies engaged in social washing, while others used sportwashing to bolster their reputation. The mining and energy industries were particularly guilty of this practice. Meanwhile, the communication industry, including companies such as Netflix and Disney, was associated with black and whitewashing.
Inspecting the Regulatory Landscape
To analyze the regulatory environment of reputational laundering, we studied the effects of different legal frameworks and government organizations on greenwashing and other forms of reputational laundering. We measured the influence of legal frameworks and regulatory bodies on greenwashing by analyzing the quarterly growth of greenwashing mentions over the study period.
In this analysis, we define the concept of legal frameworks by capturing references related to the 'Green Claims' directive, Sustainable Finance Disclosure Regulation, EU Taxonomy, Green Product Certification, Fair Labeling and Advertising Act, Non-Financial Reporting Directive, FTC Act, FTC Green Guides, etc.
Concepts of Regulation bodies are defined by references to governments and Supranational entities (i.e., US government, FTC, SEC, Chinese government, Japanese government, etc.) or regulatory agencies established to safeguard the environment (United Nations Environment Programme (UNEP), Environmental Protection Agency (EPA), European Environment Agency (EAA), Intergovernmental Panel on Climate Change (IPCC), etc.)
Figure 4: Anti-greenwashing regulation vs greenwashing growth.
There has been a slight increase in the mentions of regulatory bodies over the years, mainly due to the growing interest in greenwashing, which has peaked during events like COP26 and COP27. Legal frameworks and regulatory bodies have played a significant role in the fight against greenwashing. Although there is no decrease in the mentions of this topic, the growth rate has reduced significantly. In fact, the quarter-on-quarter growth for greenwashing web mentions has been decreasing lately.
The trends reveal an interesting fact that there is a negative correlation between the growth in mentions of frameworks, laws, and regulatory bodies and the growth in mentions of greenwashing. Though the mentions of greenwashing are still increasing, the growth rate has significantly decreased from a 75% quarterly growth rate to 10% in the last year (except for spikes related to controversial events such as Greta Thunberg labeling COP26 as a “greenwash festival,” and not attending COP27).
Conclusion
As we navigate the landscape of corporate sustainability, it becomes evident that distinguishing genuine efforts from greenwashing is not just a matter of skepticism but a necessity. This exploration underscores the importance of vigilant analysis and the role of AI in unmasking deceptive practices. It calls for a collective commitment to transparency and accountability, empowering stakeholders to make informed decisions and advocating for a future where corporate responsibility aligns authentically with sustainable development.
At SESAMm, we used AI to study billions of articles and analyze greenwashing trends. Download this comprehensive ebook for an in-depth understanding of the evolving landscape of reputational laundering, notably greenwashing, and dive into its trends in the corporate world.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
Forced labor remains a critical challenge for global businesses. Recent scandals across industrial and consumer sectors have shown how quickly hidden labor abuses can surface, sparking regulatory action, investor backlash, and lasting reputational damage.
Watch this webinar replay to hear Emily Day, Global Sustainability Specialist at Diginex, and Andrew Bernstein, Chief Commercial Officer at SESAMm, share data-driven insights and real-world lessons on how to anticipate and manage these risks effectively.
You’ll learn:
The evolving regulatory landscape and its implications for investors and corporations
Real-world case studies of forced labor controversies and their financial impact
How leading firms are strengthening risk detection and due diligence to stay ahead of compliance and reputational challenges
In theory, a portfolio with no ESG controversies signals low risk. In practice, experienced analysts treat it as a warning sign. The absence of alerts often reflects not resilience, but limited coverage, fragmented data, or incomplete aggregation. What looks like reassurance may instead point to a gap in visibility.
This dynamic matters more than ever as private market due diligence intensifies. With fewer deals, longer holding periods, and higher selectivity, investors are spending more time scrutinizing assets before acquisition and monitoring them for longer after entry. Yet the informational foundation behind many ESG assessments has not caught up with these expectations.
When "No Data" Becomes "No Risk"
Private assets operate under persistent disclosure constraints. Unlike public companies, most private firms do not produce standardized, recurring ESG disclosures, nor do they benefit from consistent analyst coverage. These gaps are structural and unlikely to disappear in the near term.
In this context, silence is ambiguous. A clean ESG screen may indicate the absence of material issues, but it may just as easily signal that no relevant information was captured. Language limitations, fragmented sources, and uneven coverage across geographies and asset types all contribute to this uncertainty.
This dynamic is particularly visible in secondary transactions. Deal teams often need to assess large portfolios under tight time pressure, with limited access to management and incomplete identifiers. In such cases, relying on the absence of signals can create false confidence rather than reduce risk.
How Weak Coverage and Duplicated Signals Create Blind Spots
Even when information exists, it is not always immediately actionable. Adverse media has become a valuable substitute where structured ESG data is limited, offering outside-in visibility into private assets. However, it is not without challenges. Without robust aggregation and cross-language consolidation, the same issue can appear repeatedly across multiple articles, jurisdictions, and languages, creating duplication rather than clarity. At the same time, gaps in coverage or weak filtering can allow other material risks to go undetected.
At the same time, some portfolios appear unusually quiet simply because the underlying assets fall outside the scope of traditional datasets. ESG and reputational expectations in private markets remain fragmented, with bespoke workflows driven by LP-specific requirements. This lack of convergence makes it difficult to distinguish between genuinely low exposure and analytical gaps.
More data does not automatically resolve this problem. Without traceability, source quality, and a way to assess financial, legal, or operational materiality, increased volume can add noise without improving decisions. In that environment, silence can be just as misleading as signal overload.
What Meaningful ESG Visibility Looks Like Under Disclosure Constraints
A core takeaway from the webinar was that point-in-time ESG assessments are no longer fit for purpose in private markets. A single diligence exercise conducted at entry cannot capture emerging governance failures, litigation, reputational issues, or supply chain risks over multi-year holding periods.
Instead, meaningful ESG visibility combines three elements:
Broad coverage, to avoid portfolios appearing "low risk" simply because assets are not captured.
Aggregation and severity assessment, to separate isolated news from controversies with real financial or operational implications.
Continuous monitoring, so the original risk thesis evolves as new information emerges rather than remaining static.
This approach reframes ESG from a compliance exercise into a source of informational advantage. Rather than concluding that no alerts mean no risk, investors use ESG signals to guide follow-up questions, prioritize deeper diligence, and identify issues that were not visible at entry.
Replacing False Comfort with Informed Uncertainty
Private markets will continue to operate with imperfect information. Disclosure gaps, opaque supply chains, and bespoke reporting demands are inherent to the asset class.
Treating “no issues detected” as a conclusion creates false comfort. Treating it as a hypothesis, contingent on coverage quality and monitoring depth, aligns ESG analysis with how risk actually emerges in private assets.
SESAMm’s AI Technology Reveals ESG Insights
Discover unparalleled insights into ESG controversies, risks, and opportunities across industries. Learn more about how SESAMm can help you analyze millions of private and public companies using AI-powered text analysis tools.
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