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How LVMH, Kering, Zara, and other fashion leaders are adapting to the rise of AEO, GEO, and AI-powered discovery in 2026
Technology in Fashion
13 May, 2026
Table of contents
By April 2026, the digital discovery landscape of the fashion industry has shifted fundamentally. Consumers are no longer relying solely on the traditional search results to discover brands, validate trends, compare products, or research luxury purchases. AI-powered interfaces like ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews are shaping how consumers search for styling advice, luxury comparisons, resale insights, and product recommendations. McKinsey described AI search as the “new front door to the internet,” estimating that AI-driven discovery could influence nearly $750 billion in consumer spending by 2028.
For fashion and luxury brands, this has boosted the transition from traditional SEO toward AEO (Answer Engine Optimisation) and GEO (Generative Engine Optimisation). While SEO generally focuses on ranking webpages on search engines, GEO and AEO are more centred on ensuring that a brand is surfaced, cited, summarised, and recommended directly within AI-generated answers. Forbes stated that brands are now optimising content not only for search engines, but for the way large language models (LLMs) synthesise, interpret, and recommend information.
This shift is important because LLMs won’t be simply ranking webpages based on keywords. AI systems accumulate information from editorial coverage, Reddit discussions, creator commentary, product reviews, structured commerce data, social media posts, and wider authority signals to generate conversational answers. A consumer searching “What are the best quiet luxury brands?” might not visit a traditional search engine results page. Instead, they will use AI assistants that provide curated responses drawn from trusted sources across the wider digital ecosystem.
The conventional search’s rise is particularly disruptive for fashion because fashion discovery has always been emotional, inspiration-led, and culturally contextual. Consumers are asking nuanced prompts such as “What brands are similar to The Row?”, “Which luxury handbags retain resale value best?”, or “What should I wear for Milan Design Week?”, which are precisely the types of queries AI assistants are designed to answer. The recent analysis on AEO for e-commerce by Shopify showcased that conversational search behaviour is rapidly replacing fragmented keyword-based discovery, particularly among younger consumers using AI assistants during shopping journeys.
AI-powered search is also starting to intercept consumer traffic before users ever reach brand-owned websites. Business Insider named the resulting industry response a growing “GEO gold rush,” with marketers competing for visibility inside AI-generated answers instead of solely focusing on Google rankings. For fashion brands that depended heavily on organic traffic, editorial visibility, and digital storytelling, this transition has major impacts.
Several major fashion and luxury brands and conglomerates are already investing aggressively in AI-enabled discovery and personalisation.
From June 2025, LVMH has continued expanding its partnership with Google Cloud to strengthen search functionality, AI-driven customer experiences, and operational intelligence across its brands.
Kering Group has similarly introduced AI deployment across customer intelligence and retail operations as part of its wider digital transformation strategy.
Inditex SA continues investing heavily in AI-supported inventory intelligence and omnichannel customer behaviour analytics. By 2026, the company expected to invest approximately €2,3 billion in technology and logistics, focusing heavily on AI-driven systems to enhance its integrated model.
Tapestry Inc., parent company of Coach, Stuart Weitzman, and Kate Spade, has also discussed using predictive AI systems. It uses Persado's Motivation AI, a generative AI solution, to customise language, words, and phrases on its e-commerce sites to increase conversion rates and decrease cart abandonment.
Beyond retail commerce, the editorial ecosystems are becoming influential in shaping AI visibility. The growing importance of trusted publishing environments has intensified conversations around attribution, licensing, and content authority in AI ecosystems. OpenAI, Google, and other AI companies are expanding content agreements and publisher partnerships throughout 2025 and 2026 as AI-generated answers became dependent on authoritative editorial sources.
For fashion labels, this leverages the long-term value of credible media coverage, executive thought leadership, and consistently cited industry authority. LLMs reference high-authority publications such as Business of Fashion, Vogue Business, WWD, McKinsey, and trusted retail analysis platforms consistently when generating responses around luxury trends, designers, or consumer behaviour. This will create a structural advantage for brands that maintain strong editorial relevance and third-party credibility. The recent reporting of Business of Fashion on the evolving relationship with AI and the digital culture of fashion further strengthened how rapidly technology is restructuring consumer engagement and industry visibility.
Winning the AI search race requires a different content strategy from traditional SEO. Instead of producing content built purely around keywords, fashion brands now need to create factual, structured, highly contextualised information that directly answers consumer intent. Detailed craftsmanship pages, sizing and fit guidance, material explainers, FAQ-driven commerce content, sustainability disclosures, and editorial-style insights are becoming more valuable because they are easier for AI systems to interpret and cite.
Third-party validation is also becoming critical. AI systems are heavily relying on external trust signals like editorial mentions, customer reviews, creator discussions, Reddit conversations, and authoritative industry analysis when determining which labels to surface in generated answers. This signified digital PR, thought leadership, and earned media visibility are functioning as AI discovery strategies, replacing secondary branding exercises.
Optimising for conversational discovery itself is equally important here. Consumers are no longer searching with fragmented keyword combinations such as “best luxury bag.” Now they ask full contextual questions like “What are the best minimalist luxury brands for workwear?” or “Which luxury brands have strong resale value?” Brands that structure their content around these natural-language structures are more likely to appear within AI-generated recommendations.
The next competitive layer will centre around AI share-of-voice measurement. Traditional SEO rankings alone no longer provide a complete picture of visibility because consumers are increasingly interacting with brands through AI-generated summaries rather than direct website visits. McKinsey stated that only a limited number of brands currently track AI-search performance systematically, creating a major opportunity for early movers. Those brands are beginning to monitor AI citation frequency, inclusion within recommendation consistency across platforms, AI-generated summaries, and how brand sentiment is represented inside LLM responses. Some companies have started evaluating which forums, publishers, creators, and third-party sources are most frequently influencing AI-generated recommendations about their brands.
Another important shift is the growing integration of commerce directly inside AI interfaces. OpenAI, Google, Shopify, and Perplexity are expanding AI-assisted shopping experiences, enabling consumers to receive recommendations, compare products, and in some cases complete purchases without following a traditional search journey. The New York Times spotlighted how AI chatbots are functioning as both influencers and discovery intermediaries for brands, which revises how consumers interact with products online. For fashion and luxury companies, this means AI visibility is becoming tied not just to awareness, but directly to conversion and commerce outcomes.
The shift from traditional SEO to AEO and GEO is not simply a technological evolution, but a fundamental restructuring of how fashion brands build authority, visibility, and consumer relevance in the online world. As AI interfaces became the primary layer between consumers and digital discovery, brands will need to compete not only for search rankings but for addition in the trusted information ecosystems that power AI-generated answers. For fashion and luxury companies, the real success in 2026 will depend on their ability to combine credible third-party validation, conversational relevance, authoritative content, and AI-ready commerce strategies into a one-stop digital presence. The brands that adapt early will strengthen discoverability and shape how consumers experience fashion in the emerging AI-driven internet economy.
Cover Image: Google Cloud