In Q3 2026, we analyzed 14,540 ChatGPT recommendations across 20 apparel and fashion categories to compile the EMARKETER AI Visibility Index. Our index tracks how often brands are mentioned, how they rank against competitors, and how those rankings have shifted since the previous month. This article will be updated quarterly to highlight our key takeaways for the apparel and fashion industry’s performance.

Overall AI Visibility Leaderboard: Q3 2026

The apparel and fashion leaderboard was mostly stable in August compared with July 2026. Seven of the top 10 brands held the same ranking month over month, including leader Nike. The athletic brand’s mention rate of 12% was consistent with its performance in July, giving it a slight lead over second-place Patagonia, which also held steady with an 11% mention rate.

The difference between the top 10 brands was small. Just 7 percentage points separated No. 1 Nike from No. 10 L.L.Bean, meaning any slight increase—or decrease—in mention rate could meaningfully shift a brand’s place on the leaderboard.

Levi’s, Ray-Ban, Patagonia, and Nike were the most dominant brands in their respective categories. Levi’s had both the highest mention rate and the largest gap relative to any second-place brand in our leaderboard. While not as dominant, Ray-Ban owned the sunglasses category by a sizable margin, and Patagonia and Nike carved out healthy leads in the outerwear and activewear categories, respectively.

Category AI Visibility Leaderboard: Boots

Key Movements

The boot category was significantly more dynamic than others, such as sneakers. Timberland was the only brand in the category’s top 10 to maintain its July ranking at No. 6 with a mention rate of 17%, putting it in the middle of a competitive pack. Every other brand changed positions in August, with Thursday Boot Company edging out Danner for the top spot in a reversal of the previous month’s leaderboard.

Brand Mention Rate vs. Share of No. 1 Mentions

Blundstone and Ariat had the highest No. 1 mention rates in boots, an important edge in a competitive category. Blundstone topped the field with a 41% No. 1 mention rate, and Ariat was not far behind at 36%. Ariat’s higher No. 1 mention rate may have been helped by a higher share of citations from retailers, while Blundstone benefited from a higher brand mention rate in searches for Chelsea boots and everyday footwear.

Source Citation Rate

Among nonbrand domains, publishers had more influence than retailers in the boot category, a divergence from August’s industrywide trend. That could reflect the lack of an established brand leader as well as less extensive wholesale distribution, lending more weight to publisher recommendations. Publishers held a 24% citation rate in this category in August, ahead of retailers’ 18%. However, the gap between publishers and retailers narrowed: Publishers’ share of citations fell by 2 percentage points compared with July, while retailers’ share increased by 1 percentage point.

FAQ: Apparel and Fashion

Which apparel and fashion brands were mentioned the most in AI-generated recommendations?

Nike was the most mentioned apparel and fashion brand in August 2026, with a 12% brand mention rate. Patagonia ranked second with an 11% mention rate, while Uniqlo ranked third at 10%. Competition remained tight beyond the leaders: Only 7 percentage points separated No. 1 Nike from No. 10 L.L.Bean. Category leadership varied more sharply, with Levi’s in denim, Ray-Ban in sunglasses, and Patagonia in outerwear establishing strong leads.

Why does ChatGPT recommend some apparel and fashion brands more than others?

ChatGPT tends to recommend apparel and fashion brands more often when they have broad product assortments, strong category authority, and extensive wholesale distribution. Established brands can cover more shopper needs and benefit from retailer partnerships that give large language models (LLMs) more relevant content to draw from. Strong authority in specific product categories can also increase a brand’s likelihood of appearing as the No. 1 recommendation.

Which apparel and fashion categories are most competitive in AI-generated recommendations?

Sneakers, boots, and dresses were among the most competitive apparel and fashion categories in AI-generated recommendations in Q3 2026. Boots were especially competitive: Only 9 percentage points separated the top 10 brands in August, and nearly every brand changed rank from July.

Why is AI visibility important for apparel and fashion brands?

AI visibility is important for apparel and fashion brands because consumers increasingly use AI platforms to discover products, compare options, and receive recommendations. Brands should monitor both overall mention rates and No. 1 mention rates, since users may favor the product that appears first in AI-generated recommendations. Tracking both metrics helps brands understand how often AI platforms surface them—and how prominently they compete for user attention and engagement.

What were the biggest AI visibility trends for apparel and fashion this quarter?

The biggest Q3 2026 trends for the apparel and fashion industry were tight overall competition, strong category-specific leaders, and growing retailer influence. Nike narrowly led overall mentions, while Levi’s, Ray-Ban, and Patagonia established stronger positions within individual categories (denim, sunglasses, and outerwear, respectively). GPT-5.6 mentioned a higher number of brands in August while citing slightly fewer unique domains. Retailers also gained citation share month over month, rising from 21% to 25% of nonbrand domain citations.

FAQ: EMARKETER’s AI Visibility Index

How is the apparel and fashion AI Visibility Index measured?

EMARKETER’s AI Visibility Index is based on a structured analysis of ChatGPT recommendations in response to US-based interactions across 20 apparel and fashion categories: activewear, boots, denim, dress and casual footwear, dresses, handbags, hats and headwear, hosiery, lingerie and intimates, loungewear and sleepwear, outerwear, pants and shorts, sandals, skirts, sneakers, sunglasses, sweaters and knitwear, swimwear, tops, and watches. Each interaction asks ChatGPT for product recommendations using standardized prompts (e.g., “best trail running shoes,” “sustainable wide-leg jeans”). Prompts vary by product type, product attribute, consumer need, target audience, and price tier to capture a representative range of real-world consumer questions for each category.

How does EMARKETER choose the prompts?

Prompts are built with EMARKETER analysts and researchers who cover each industry, then validated and prioritized using consumer search volume data. Prompts reflect the language consumers actually use.

What is “brand mention rate”?

Brand mention rate is the percentage of ChatGPT recommendations that mention a given brand.

What is “No. 1 mention rate”?

No. 1 mention rate is the number of ChatGPT recommendations that mention a given brand first as a percentage of all ChatGPT recommendations that mention the brand.

How can I improve my brand’s AI visibility?

Brands strengthen how often AI assistants recommend them by sharpening their generative engine optimization (GEO) strategy and building the trust signals AI models weigh. EMARKETER’s AI Visibility Index shows where a brand stands today and how that position moves month over month—the baseline for any optimization effort. To learn more about how the index can help your brand, including custom-scoped advisory insights, visit our AI Visibility Index hub.

What do EMARKETER PRO and PRO+ subscribers get?

EMARKETER PRO subscribers get in-depth quarterly reports featuring further category breakouts, data cuts, and analysis. PRO+ subscribers can access the AI Visibility Index’s complete data set, including monthly updates across every category cut, in the live dashboard.