The Estée Lauder Companies is expanding its generative AI search strategy through a global partnership with Profound, aiming to understand and improve how its prestige beauty brands appear across AI assistants and emerging discovery channels.

The partnership gives Estée Lauder Companies a unified view of brand representation across major generative AI platforms, including how products are recommended, what information AI systems surface and where brand visibility or accuracy can be improved.

The move reflects a broader change in product discovery. Consumers increasingly use AI assistants such as ChatGPT and Google Gemini to research products, compare options and obtain personalized recommendations before visiting a brand or retailer website. For a global portfolio containing multiple beauty brands, managing that representation creates a different challenge from optimizing individual websites for conventional search.

Estée Lauder Companies will use Profound's AI marketing and agentic optimization capabilities to analyze and improve content across product description pages, blogs, YouTube channels and other content-production workflows. Areas including product information, ingredients, claims and benefits are expected to be optimized so that large language models can more easily interpret and surface relevant information.

The company describes the deployment as a global, portfolio-wide implementation of Generative Engine Optimization (GEO), rather than an initiative limited to a single brand or market.

Market Landscape

AI-generated recommendations are creating another layer between consumers and the brands competing for their attention. Traditional SEO largely focuses on ranking pages for queries, while GEO also considers whether a brand is represented accurately and consistently when AI systems generate an answer.

That distinction is particularly important in beauty, where product attributes can include ingredients, skin concerns, benefits, formulations and usage recommendations. AI-generated answers may combine information from brand-owned properties with retailer pages, editorial publications, reviews and other third-party sources.

Enterprise marketers therefore face two connected challenges: determining what AI systems currently say about their brands and identifying which content or authority gaps could influence future answers.

Estée Lauder Companies' portfolio approach also highlights an emerging enterprise requirement. Managing AI visibility across many brands requires centralized measurement while preserving the positioning and product distinctions of individual brands.

Strategic Outlook

The partnership could signal a broader shift toward AI visibility becoming an operational marketing function rather than an experimental SEO initiative.

For enterprise beauty companies, the strategic value is not simply appearing more frequently in AI answers. Accurate representation matters because recommendations can shape consideration before a consumer reaches a traditional search result, retailer or brand site.

The next competitive stage will likely involve connecting AI visibility data with existing content management, digital commerce and marketing operations. Companies that can identify inaccurate representations, understand the sources behind AI answers and systematically improve their digital content will have greater control over how their brands participate in AI-mediated discovery.

Top Insights

• Estée Lauder Companies is applying GEO across its global portfolio, moving AI visibility from individual experiments toward centralized enterprise marketing operations.
• Profound will provide visibility into AI brand representation, helping marketers identify recommendation, accuracy and content opportunities across generative search platforms.
• Product pages, blogs and YouTube content become strategic AI-search assets as brands optimize product information for large language model interpretation.
• Beauty's ingredient- and claim-heavy product discovery makes accurate AI representation particularly important as consumers seek personalized recommendations.
• Portfolio-wide AI monitoring could become an emerging enterprise capability as marketers manage brand visibility across multiple generative AI platforms.

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