What AI Search Recommends for US Fashion Buyers

Executive summary

Three brands capture 44% of sustainable-fashion cites: Reformation, Everlane, Quince. Newer DTC brands barely register.
Engines diverge sharply in fashion. ChatGPT leans on r/femalefashionadvice and r/malefashionadvice. Claude weights brand sustainability pages and material specs. Gemini pulls Instagram and TikTok context. Perplexity surfaces New York Times Wirecutter, Strategist, and Vogue editorial.
Fit-intent queries are almost entirely unanswered. Buyers searching "pants that fit tall women with long torsos" or "men's size 46 slim shirts" get generic lists with no brand ownership. These are the highest-ROI content gaps in the category.

How each engine behaves in US fashion

ChatGPT reads like someone quoting Reddit. r/femalefashionadvice and r/malefashionadvice dominate its sourcing, and brand recommendations match the most-upvoted comments in the top 100 threads for each query. Brands that live in these subreddits with active user recommendations (J.Crew, Uniqlo, Madewell, Abercrombie) get cited in ChatGPT far above their traditional SEO rank. Brands that avoid Reddit or have thin community presence (most pure DTC brands) lose meaningfully.

Claude reads like a thoughtful stylist. It cites fewer brands per answer and goes deeper on materials, fit philosophy, and country of manufacture. Claude weights brand-published sustainability pages, fabric specs (GSM for knits, denim weight, fiber composition), and ethical-production documentation. For "sustainable denim under $200" type queries, Claude cites Nudie Jeans, DL1961, and Reformation because those brands publish actual material and supply chain detail. Brands that hide their material specs lose Claude share.

Gemini is the social-commerce engine. It pulls heavily from Instagram tag density, TikTok hashtag volume, and Google Shopping merchant ratings. Brands going viral on TikTok (Djerf Avenue, House of Sunny, Sandy Liang) get Gemini cites well above their actual US revenue. Gemini is also the most likely to cite Pinterest boards for outfit-inspiration queries.

Perplexity is driven by editorial: New York Times Wirecutter, The Strategist, Vogue, Esquire, Who What Wear, and The Cut. Sixty-four percent of Perplexity's cited sources came from these six outlets in our test. A brand with no Strategist or Vogue coverage in the past 18 months is invisible in Perplexity, full stop.

Estimated citations per 100 prompts, blended across the four engines:

Uniqlo 38 (ChatGPT 46, Claude 30, Gemini 40, Perplexity 34). Owns basics across every price tier.
Madewell 29. Dominant in women's denim and workwear queries.
Everlane 27. Sustainable basics, high Claude weight.
J.Crew 25. Preppy and workwear, high ChatGPT weight via Reddit.
Reformation 24. Wedding guest and occasion wear.
Quince 22. Rising. Luxury-for-less positioning lands well in Perplexity editorial.
Zara 21. Fast fashion default for "trendy" queries.
Levi's 20. Denim foundation brand.
Abercrombie 18. Comeback story. Strong in women's denim and dresses.
Banana Republic 15. Workwear and polished casual.
Todd Snyder 13. Men's elevated casual.
Buck Mason 12. Men's T-shirts and denim.
Mott & Bow 10. Men's denim, mid-market.
Sezane 9. French DTC, growing US recognition.
Faherty 8. Coastal casual.
Aritzia 8. Young women's professional.

Below 7: noise.

What the winners do that losers don't

Reformation teardown. Reformation publishes fiber composition, country of manufacture, water usage estimate, and carbon footprint for every SKU on the product page as structured fields. The "RefScale" environmental score is a proprietary schema-adjacent data block that Claude and Perplexity both parse and cite. Reformation has continuous Vogue, Strategist, and New York Times coverage going back to 2016. Their 90,000 hashtagged Instagram mentions per month feed Gemini. They rank on nearly every "sustainable occasion wear" query across all four engines for a reason.

Quince teardown. Quince is the fastest-rising brand in our data and worth a close look. The site structure is unusually AI-friendly: every product has explicit material comparisons ("Mongolian cashmere versus Inner Mongolian versus standard cashmere") with named origin farms and mill certifications. Product pages cite retail-price equivalents ("$50 versus $300 at luxury brands") which AI engines quote directly for value-positioning queries. Quince also ships clear care and sustainability language per SKU. Their editorial traction (Strategist has covered them 12 times in 2025) compounds with strong on-site structure.

Buck Mason teardown. Buck Mason is the case study for how a mid-sized men's brand can build AI visibility without a Vogue budget. They publish a detailed fit guide with body-type recommendations, photograph garments on three different builds, and maintain an active presence on r/malefashionadvice where longtime customers post recommendations organically. Their schema is below Reformation's but their fit-clarity content closes the gap. Most men's DTC brands ship a single "model is 6'0, wearing size M" line and lose.

Prompt-type segmentation

Transactional ("best white T-shirt for men under $40"): Uniqlo, Buck Mason, and J.Crew split. Cites are driven by Reddit consensus for men and Instagram density for women.

Comparative ("Madewell versus Everlane jeans"): Winners have explicit versus-style blog content. Only Everlane and Reformation have any. Most brands leave comparative queries entirely to editorial sites.

Educational ("how to tell if cashmere is good quality"): Quince and a handful of wool / cashmere specialists rank. Massive open territory.

Trust ("is Quince real cashmere", "is Abercrombie made in China"): AI cites brand sourcing and material transparency pages when they exist. Brands hiding country of manufacture lose these queries by default.

Fit-intent ("jeans for women 5'3 with short legs", "shirts for men size 46 slim torso"): Almost no brand owns any of these. The brands with the best structured fit guides (Buck Mason, Mott & Bow, Bonobos) pick up scattered cites but the category is wide open.

Gap map

Brands with real US revenue getting under 5% AI mention share:

Alex Mill. Strong editorial darling, but AI cites it in 3 of 28 prompts. Cause: thin Reddit presence, limited versus content, product pages missing structured material data.
Outerknown. Kelly Slater's sustainable menswear brand, cited in 2 of 28 despite being a natural fit for sustainable men's queries. Cause: editorial coverage is there, but the brand's own pages are thin on fabric and supply chain specifics Claude needs.
ADAY. Technical basics for professional women, almost invisible in AI. Cause: under-indexed on Reddit and weak comparative content.
Universal Standard. The best extended-sizing DTC brand by most measures, cited in 4 of 28. Cause: extended sizing queries are rarely asked in exact form that matches the brand's positioning. Writing explicit content for "best size 20 women's suit" type queries would compound.
Cuts Clothing. Men's premium T-shirt brand, strong Instagram, weak everywhere else.
SIR the Label. Australian women's occasion wear with rising US presence, under-cited.
Marine Layer. Coastal casual staple, cited in 4 of 28. Needs versus content against Faherty and Buck Mason.

Each of these brands has a real customer base and a real product story that is not showing up in AI answers. The fastest lever for most is a set of versus-style comparison pages plus fabric and sourcing transparency.

Open queries no brand owns

High-intent buyer prompts where the AI answer is generic:

"Jeans for tall women over 5'10 with long inseams that are not too tight in the calf." Chronic unanswered query.
"Men's dress shirts that fit a size 46 chest and slim waist without alterations." Huge segment of men, no brand answer.
"Wedding guest dress for women size 14 to 18 that is not just a wrap dress." Editorial answers only, no brand ownership.
"Summer work pants for humid climates that do not wrinkle." Ministry of Supply should own this, does not.
"Durable white T-shirts that survive 100+ washes." Reddit-heavy, no brand comparison page exists.
"Sustainable fashion that actually looks professional, not boho." Whole segment unaddressed.
"Office-appropriate outfits for postpartum women returning to work." Zero brand content ranks.

A brand publishing one well-structured comparison guide or fit explainer targeting any of these owns it for months.

The 90-day playbook

Scored Impact / Confidence / Ease.

1. Publish complete fabric, fit, and origin data per SKU (I5 / C5 / E4). Fiber composition, GSM or denim weight, country of manufacture, mill name when possible. Claude will not cite confidently without it. Two weeks of engineering to extend product schema.

2. Build a real fit guide with multiple body types (I5 / C4 / E3). Photograph three different models per SKU. Publish a "how to choose your size" page with chest, waist, hip, inseam brackets. Fit-intent queries are the biggest open category.

3. Pitch The Strategist, Wirecutter, Who What Wear, and Business of Fashion (I5 / C3 / E2). These six outlets drive 60%+ of Perplexity cites. Custom angle per outlet, production samples, exclusive story hook. Expect 8 to 12 weeks to land one placement.

4. Seed r/femalefashionadvice and r/malefashionadvice authentically (I4 / C4 / E3). Identify top contributors in your category, send product for honest reviews, participate in open threads. 6 to 9 months to meaningful presence.

5. Publish 4 to 6 versus-style comparison pages (I4 / C5 / E4). "Your Brand versus Top 2 Competitors". 1,000+ words each. Include material, fit, price per wear, sustainability. AI engines cite versus pages heavily for comparative queries.

6. Run TikTok and Instagram creator seeding with mid-tier creators (I3 / C4 / E3). 50K to 500K follower range for best cost-per-mention. Gemini pulls social signal aggressively; 30 creator posts in 90 days moves share.

Methodology and appendix

Prompts tested this week included: best white T-shirt men under $40, sustainable denim women under $200, best wedding guest dresses size 2 to 12, men's workwear brands that wash well, affordable cashmere comparison, best jeans for tall women, office-appropriate sustainable brands, best linen shirts for men summer, Madewell versus Everlane, Reformation versus Ganni, best men's slim chinos, best basics brands women, best vintage-style denim men, dressy pants for women not jeans, best sweatshirts fleece quality, best swimsuits for athletic women, most durable T-shirts, best travel pants women, best men's dress shirts slim fit, best plus-size workwear, best pregnancy-friendly workwear, brands that ship carbon neutral, best button-downs for petite women, best summer dresses under $150, best athletic-fit men's chinos, best minimalist women's brands, best men's blazers under $300, best coats winter women. Engine versions: ChatGPT gpt-5, Claude sonnet-4-6, Gemini 2.5, Perplexity Sonar Pro.

Week 1 citation counts are directional. Starting Week 2 we publish confirmed scrape data.

Next week

We rerun these Monday April 27 and report movement. Reply with your domain if you want your SKUs checked against the same prompts.