
Observatory · Sector
How AI engines recommend retail and fashion brands
For retail and fashion buying questions, ChatGPT cites a source in only 73.1% of its answers, its lowest rate in any sector, and rankings make up 40.3% of the sources it does cite. Data: 33,429 answers, July 12 to October 11, 2026.
Updated
33,429
answers analysed
78%
ai overview displayed
34%
rankings among sources
6.2
sources per answer
Retail and fashion (stores, e-commerce, apparel, accessories) totals 33,429 answers from ChatGPT, Google AI Overviews and Perplexity. Across engines, brand sites, media and blogs make up 63.7% of cited sources and rankings and comparisons 33.7%. YouTube (1.4%) and forums (1.1%) follow.
ChatGPT often answers from its own knowledge here: it cites a source in 73.1% of answers and 3.1 sources per answer, its lowest levels in any sector. When it cites, rankings make up 40.3% of its sources, the highest ChatGPT share of the nine sectors.
Google AI Overviews appears on 78.2% of retail searches and brings in YouTube (6.8%) and forums (3.3%). Perplexity cites rankings for 27.9% of its sources. Answers are the shortest of the nine sectors, with a median of 219 words.
For a retail brand, "best of" lists and brand awareness drive ChatGPT; video and community content help on Google AI Overviews.
Method
406,626 AI answers collected every day from July 12, 2026 to October 11, 2026 on over 1,700 purchase-intent questions tracked by Archipel (mostly in French, plus the United States and the Netherlands). ChatGPT, Google AI Overviews, Perplexity and Copilot: Profound data. Claude and Gemini: Peec AI data. Sources are classified automatically from their address and title. Figures are aggregated: no brand or client is published. Free to reuse with a link to this page.
FAQ
Frequently asked questions
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