Most e-commerce brands overlook their absence from AI shopping recommendations, and that oversight is hurting revenue.
Shoppers who ask ChatGPT, Gemini, or Perplexity for product suggestions rarely see household names like H&M, Gucci, or Levi’s in the results. A May 2026 study examined 152 leading brands across six retail categories and found the typical brand appeared in only one out of every three relevant AI responses. More than a quarter of brands showed up in one in five or fewer.
Strong SEO doesn’t ensure AI visibility
Brands that lead search rankings are learning their dominance doesn’t carry over to AI assistants. These models don’t rely on Google’s index for recommendations. Instead, they use their own sources: editorial coverage, community discussions, and machine-friendly content on brand websites.
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A brand can rank first in search results yet remain nearly invisible to AI if its content isn’t structured for machines. In the UK, H&M appeared in fewer than 7% of fashion-related AI answers on one major platform, while Next and Marks & Spencer led with 65% and 48% visibility. In luxury, Burberry surfaced in half of all relevant responses, while Chanel, Louis Vuitton, Prada, and Gucci each appeared in just 12.5%.
The pattern isn’t accidental. AI assistants prefer brands with detailed, structured content—product specifications, delivery policies, and customer reviews formatted for easy processing. Shoppers who arrive via AI are ready to buy, but if a brand isn’t in the answer, it’s already excluded.
The issue worsens when brands fail to track their AI visibility. Over half of the brands monitored across three major AI engines were effectively invisible on at least one, often unaware of the gap. Adobe Analytics reports that AI-driven traffic to US retail sites has climbed more than 1,300% since October 2024, and as of May 2026 that traffic was converting 54% better than non-AI sources.
Optimizing content for AI visibility
Brands aiming to improve their AI visibility should follow three steps: establish a baseline, identify gaps, and optimize their websites as AI sources. The last step is key—structured product data, clear delivery and returns information, and content that answers shopper questions can determine whether a brand appears in responses or gets ignored.
The focus isn’t on creating more content but on making existing content more effective. AI assistants parse structured information. Brands that design websites only for human visitors miss the chance to feed the models shaping purchase decisions.
AI-driven traffic to U.S. retail sites has grown over 1,300% since October 2024, and the shoppers it brings convert at higher rates. Brands dominating AI answers today build a lasting advantage.