UK fashion retailers remain invisible to AI shoppers
Per Retail Times, Marketing Signals' UK Fashion and Apparel AI Visibility Index analysed 59 UK fashion and apparel retailers across ChatGPT, Google AI and Gemini to measure which brands are cited in AI-generated purchase recommendations. The Index ranked Harrods first (36.3) driven largely by editorial citations and placed Whistles second (24.8). Retail Times reports Next finished last at #59 (1.6) despite 21.6 million monthly UK visits, with Marks & Spencer at #54 (5.0) and New Look at #58 (2.2). Marketing-Now describes the underlying Semrush AI Visibility Index methodology, noting it evaluates brand performance across thousands of prompts in ChatGPT and AI Mode and finds that SEO rankings do not reliably translate to AI visibility. Editorial analysis: Industry-pattern observations indicate AI-generated answers favour editorial roundups, forum content, and structured signals, so traditional traffic leaders can be underrepresented in AI recommendations.
What happened
Per Retail Times, Marketing Signals published the UK Fashion and Apparel AI Visibility Index, testing 59 UK fashion and apparel retailers across ChatGPT, Google AI and Gemini to measure citation-based visibility. The Index placed Harrods at #1 with a score of 36.3, Whistles at #2 with 24.8, and reported Next at #59 with 1.6 despite 21.6 million monthly UK visits. Retail Times also reports Marks & Spencer at #54 (5.0) and New Look at #58 (2.2). The bottom 10 retailers collectively account for over 54 million monthly UK visits but average just 2.9 in AI visibility, per Retail Times.
Technical details
Marketing-Now summarises Semrush's wider AI Visibility Index methodology, noting the study leverages Semrush Enterprise's AI Optimization platform and analyses 2,500 real-world prompts in ChatGPT and AI Mode across verticals. Marketing-Now reports the Index distinguishes between brands mentioned as data sources and brands cited in AI answers, and concludes that structured data, transparent signals, third-party validation, and user-generated content exert outsized influence on AI citations.
Editorial analysis - technical context
Industry-pattern observations: Public reporting on AI visibility consistently finds that large-language-model-driven answers privilege editorial content and community signals (for example, Reddit and forums) because those sources often appear in training corpora and downstream citation heuristics. Brands that accrue named mentions in lists, reviews, and authentic forum threads typically register higher citation rates in AI responses, even when their direct web traffic is lower.
Context and significance
For practitioners in SEO, digital analytics, and e-commerce, the Index reframes discoverability as a multi-signal problem where organic rankings are necessary but not sufficient for appearing in AI-driven recommendations. The Marketing Signals coverage highlights practical tactics advocated by Gareth Hoyle, including earning placements in editorial roundups and cultivating authentic forum presence.
What to watch
- •Metrics that matter: citation frequency in AI answers, named-brand mentions in top editorial roundups, and forum/UGC growth.
- •Platform changes: updates to how ChatGPT, Google AI and Gemini select and cite sources could materially shift visibility rankings.
- •Replication: whether similar visibility gaps appear in other retail verticals or international markets.
Scoring Rationale
This is notable for SEO, e-commerce, and analytics practitioners because AI-generated recommendations change discovery signals, but it is not a frontier-model or infrastructure breakthrough. The Index offers actionable measurement but affects a narrower practitioner subset.
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