Beauty Discovery Has Changed
And It’s Forcing Brands to Rethink Everything
For years, beauty brands operated within a relatively stable and predictable system. When a customer wanted a new skincare product or cosmetic, the process typically began with a search. That intent—clear, measurable, and easy to target—allowed brands to position themselves strategically through search engines, paid media, and influencer partnerships designed to capture attention at exactly the right moment.
That model did not just shape marketing strategies; it shaped how brands understood consumer behaviour.
What has become increasingly clear, however, is that this system no longer reflects how people actually discover and choose beauty products today.
The change has not been sudden or dramatic. Instead, it has unfolded gradually, almost quietly, as new platforms and technologies have altered how attention works and how decisions are formed. The result is a landscape where discovery feels less like a process and more like an experience, one that is fragmented, non-linear, and heavily influenced by context.
From Intentional Search to Passive Discovery
One of the most significant shifts is that consumers are no longer consistently starting with a defined need. Instead of actively searching for products, many are encountering them incidentally while engaging with content on platforms such as TikTok and Instagram.
In these environments, discovery is driven less by keywords and more by algorithms that surface content based on behaviour, preferences, and patterns of engagement. A user may not be looking for a new cleanser or foundation, yet find themselves drawn into a recommendation through a tutorial, a routine breakdown, or a piece of content that resonates on a personal level.
What makes this particularly powerful is that the moment of discovery does not feel transactional. It feels organic, even accidental, which significantly lowers resistance and accelerates interest. By the time a consumer seeks further information—if they do at all—the product is already familiar, and in many cases, already trusted.
The Expanding Role of AI in Decision-Making
Alongside this shift in content-driven discovery, artificial intelligence is beginning to reshape how consumers evaluate their options. Tools such as ChatGPT and Claude introduce a fundamentally different interaction model, one that is conversational rather than search-based.
Instead of navigating multiple sources, users can articulate their needs in a nuanced and highly specific way, receiving responses that synthesise information into clear, structured recommendations. This changes not only the speed of decision-making but also the criteria by which products are considered.
In this context, brands are no longer competing to rank highly within a list of search results. They are competing to be included within a curated response, where relevance, clarity of positioning, and consistency of information play a far greater role than traditional visibility metrics.
This introduces a new kind of pressure: if a brand is not well understood by both consumers and the systems interpreting consumer intent, it risks being excluded entirely from consideration.
Trust as a Distributed Experience
At the same time, the way trust is formed has become more complex and more diffuse. Where once a strong influencer endorsement might have been sufficient to validate a product, consumers now tend to seek confirmation across multiple sources before making a decision.
A product might be encountered on TikTok, discussed in comment sections, referenced in peer conversations, and then evaluated through an AI-generated recommendation. Each of these interactions contributes incrementally to a sense of legitimacy, creating a form of trust that is built through accumulation rather than authority.
This distributed model is more difficult for brands to control, but it also offers greater opportunity. When a product appears consistently across different contexts—each reinforcing the same core message—it becomes more credible precisely because it does not rely on a single voice.
How Leading Brands Are Responding
Some of the most established players in the beauty industry have already begun to adapt their strategies to reflect this new reality, recognising that the shift extends beyond marketing channels into the broader structure of how brands operate.
L’Oréal, for instance, has invested heavily in artificial intelligence and digital innovation, developing tools that move beyond promotion into personalised guidance, often in collaboration with partners such as Microsoft. This approach positions the brand closer to the decision-making process itself, rather than simply influencing it externally.
Similarly, Estée Lauder has integrated AI into its marketing and content workflows, enabling more adaptive and responsive communication strategies that align with rapidly shifting consumer behaviours.
At the other end of the spectrum, e.l.f. Cosmetics has demonstrated how deeply understanding platform dynamics, particularly on TikTok, can translate into significant growth. Its content strategy reflects an awareness that discovery today is driven as much by participation and relatability as it is by product performance.
Retailers such as Sephora have also evolved, investing in recommendation technologies and personalised experiences that position them as guides within an increasingly complex decision landscape.
Even brands like Glossier, which were early pioneers of community-driven growth, have had to recalibrate, returning to more authentic and customer-led narratives after a period where their brand voice became more controlled and less reflective of their audience.
A Structural Shift, Not a Tactical One
What ties all of these developments together is the recognition that this is not simply a matter of adopting new platforms or experimenting with emerging technologies. The underlying change is behavioural, and therefore structural.
Consumers are no longer moving predictably from awareness to consideration to purchase. Instead, they are navigating a fluid ecosystem in which discovery, validation, and decision-making occur simultaneously and often repeatedly.
For brands, this requires a different mindset. Rather than focusing solely on driving traffic or capturing demand, there is a growing need to understand how and where decisions are being shaped—and to ensure that the brand is present, relevant, and coherent within those moments.
What This Means in Practice
In practical terms, the brands that are succeeding in this environment tend to share a few defining characteristics. They are easy to understand, both in terms of what they offer and who they are for. They appear consistently across multiple touchpoints, reinforcing their positioning without over-reliance on any single channel. And perhaps most importantly, they integrate naturally into the contexts in which consumers are already spending time.
This is not about being everywhere, but about being appropriate wherever you appear.
Because in a landscape defined by algorithms, conversations, and increasingly intelligent systems, visibility alone is no longer sufficient. What matters is whether a brand makes sense in the moment it is encountered, whether it feels relevant, credible, and worth considering.
At Consumer Exec, we work closely with global beauty brands as they navigate this shift—supporting everything from C-suite appointments through to building out the teams that sit beneath them. Whether it’s finding leadership that can steer a brand through this new landscape, or assembling the kind of cross-functional teams required to execute within it, the brief has fundamentally changed.