Share of voice across ChatGPT, Perplexity, Claude, and Google AIO — measured across 8.276 shopper prompts and 29 brands.
Different AI models weight different sources. A brand that wins ChatGPT may lag in Google AIO if its retail footprint is weak.
Everlane holds a 38.8% share of voice across the measured engine-call set — roughly 15x the category median of 2.5% across all 29 tracked brands (or ~9x if the five zero-mention brands are excluded) and nearly 1.5x the second-ranked brand. In a category with 29 tracked D2C brands and 60 distinct shopper queries run across four AI engines, that concentration is not a rounding error. It is a structural lead consistent with the editorial coverage, comparison content, and sustainability framing that large language models appear to weight heavily when synthesizing recommendations.
The competitive dynamic below Everlane is a three-way race. Vuori (25.4%), Allbirds (20.4%), and Alo Yoga (17.9%) each own a defensible semantic territory — performance-lounge hybrid, sustainable footwear, and studio-to-street activewear respectively. Below this top four, 15 brands cluster between 2% and 12% SoV, and five tracked D2C names (Lively, Knix, Stance, Carbon38, Chubbies) register zero mentions across 240 engine calls. The gap between being cited and being invisible in AI search is, today, often more of a content and citation-graph problem than a product problem.
For a brand sitting in the 9–30% SoV band, the next quarter should focus on three things: claiming a specific prompt cluster rather than fighting for generic "best D2C apparel" queries, seeding third-party editorial that LLMs treat as authoritative (Wirecutter, Strategist, Reddit threads, Substack reviews), and occupying prompt territory where no incumbent is currently cited. Displacing Everlane on generic category queries is expensive. Owning a narrower, demographically specific cluster is not.
Apparel is among the most AI-susceptible D2C categories because purchase decisions cluster around subjective, comparative questions that consumers are increasingly comfortable outsourcing to a chatbot. A shopper asking "what should I wear on a long-haul flight" or "is Everlane or Allbirds more sustainable" is no longer typing that into Google and clicking ten blue links. They are asking ChatGPT, Gemini, or Perplexity and receiving a three-to-five brand shortlist. The brand that appears in that shortlist wins consideration. The brand that doesn't is not in the set.
This behavioral shift is still early. We estimate most apparel brands are seeing low-single-digit percentages of site traffic attributable to AI referrers today. But the compounding dynamic matters: AI engines cite a narrow set of editorial sources, and those sources take 6–12 months to rewrite. The brand cited as "best sustainable basics" in Q1 2026 is likely to remain the cited answer through Q3. Visibility today tends to lock in visibility tomorrow. The cost of entry is rising.
| Brand | SoV % | Avg Position |
|---|---|---|
| Everlane | 38.8 | 1.6 |
| Vuori | 25.4 | 1.8 |
| Allbirds | 20.4 | 1.8 |
| Alo Yoga | 17.9 | 2.1 |
| Outdoor Voices | 13.8 | 2.6 |
| Rothy's | 11.7 | 1.7 |
| Gymshark | 11.3 | 1.9 |
| Girlfriend Collective | 11.3 | 2.9 |
| Cuyana | 10.4 | 1.8 |
| Reformation | 9.6 | 1.8 |
| Rhone | 7.1 | 3.1 |
| Set Active | 5.4 | 4.1 |
| Ministry of Supply | 4.6 | 2.4 |
| Taylor Stitch | 2.9 | 2.0 |
| Bombas | 2.5 | 2.2 |
| Princess Polly | 2.5 | 2.5 |
| Mack Weldon | 2.5 | 2.3 |
| M.M.LaFleur | 2.1 | 2.2 |
| Sezane | 2.1 | 1.6 |
| Parade | 1.7 | 5.3 |
| Marine Layer | 0.8 | 3.5 |
| Tecovas | 0.4 | 5.0 |
| Frank and Oak | 0.4 | 2.0 |
| Summersalt | 0.4 | 4.0 |
| Lively | 0 | — |
| Knix | 0 | — |
| Stance | 0 | — |
| Carbon38 | 0 | — |
| Chubbies | 0 | — |
The 13.4-point gap between Everlane (38.8%) and Vuori (25.4%) is the defining feature of the leaderboard. Everlane's lead appears to be driven less by product superiority and more by editorial positioning: the brand became the canonical reference for "ethical basics" in the 2017–2020 Strategist and NYT era, and LLMs trained on that corpus continue to surface it as the default answer to generic apparel queries. Its average position of 1.6 is the strongest in the category, and when Everlane is cited it is cited first.
Two brands are punching above their weight relative to their mainstream brand awareness. Cuyana at 10.4% SoV with a 1.8 average position is remarkable for a brand with a fraction of Everlane's media footprint; it has effectively owned the "elevated leather goods and capsule wardrobe" semantic slot. Sezane ties Everlane on average position (1.6) but on a much smaller citation base (2.1% SoV) — a profile that suggests it is cited in a narrow set of queries (French, feminine, minimalist), and when cited it is the top answer, though the low volume makes that average position statistically thin. Conversely, Girlfriend Collective at 11.3% SoV but a 2.9 average position is broadly mentioned but rarely the primary recommendation — a visibility profile that indicates it is being included as a "also consider" secondary brand rather than the headline answer.
Everlane dominates at 46.7% citation rate, followed by Vuori (30.0%) and Outdoor Voices (26.7%). ChatGPT often appears to favor brands with strong legacy editorial coverage in outlets like Strategist, Wirecutter, NYT, and Vox. This is the engine where "old internet authority" appears to compound.
Everlane leads at 31.7%, but the top of the leaderboard is compressed — Allbirds (15.0%), Vuori (13.3%), Alo Yoga and Outdoor Voices (11.7% each). Perplexity cites live web results, which means more recent reviews and Reddit threads can move the needle. That said, Everlane still leads comfortably here, so "live web" is not a guaranteed opening for newer brands — it is a necessary but not sufficient condition.
Gemini produces the highest absolute citation rates of any engine for top brands: Everlane at 51.7%, Vuori at 41.7%, Allbirds at 26.7%, Alo Yoga at 20.0%, and Girlfriend Collective at 16.7%. The top-of-leaderboard concentration is even more pronounced here than on ChatGPT. For brands already in the top ten, Gemini is an amplifier; for brands outside it, Gemini is the hardest engine on which to break in.
Everlane (25.0%), Allbirds (21.7%), Vuori (16.7%), Alo Yoga (15.0%), and Rothy's (11.7%) dominate. AIO's citation behavior appears more correlated with traditional search visibility than other engines — brands with strong organic footprints and structured data tend to surface. This is the engine where conventional SEO investment appears to translate most directly, though we are inferring rather than observing causal drivers.
The following clusters are inferred from brand-level citation patterns rather than observed from prompt-level win data, and should be read as hypotheses to validate rather than measured findings.
Generic "best D2C apparel" queries. Everlane's dominance across all four engines suggests it is the default answer to the broadest, most-searched prompts. This is the most contested and expensive territory.
Performance-to-leisure crossover. Vuori's SoV profile — strong on ChatGPT and Gemini but thinner on Perplexity — is consistent with ownership of the "travel, lounge, work-from-home, office-to-gym" semantic space, which is semantically tight and defensible.
Sustainability and comparison queries. Allbirds' balanced profile across engines and its strong average position suggest it remains the reference point for head-to-head sustainable footwear comparisons. Owning your own comparison queries is a structural advantage — it means the category has made you the reference.
Studio and activewear aesthetic. Alo Yoga and Outdoor Voices appear to share this cluster, with Alo skewing premium/studio and Outdoor Voices skewing casual-athletic. Neither has cleanly monopolized it.
Capsule and elevated basics. Cuyana and Reformation appear to split this cluster, with Cuyana stronger on leather goods and Reformation on occasion-wear.
A separate prompt-level analysis (not included in the engine-call dataset summarized here) is required to identify empty prompts with confidence. Based on the absence of citations for brands structurally suited to specific demographic and use-case niches, we hypothesize the following as high-value white space to validate:
The principle is simple: empty prompts are won by being the first named answer in one credible source that an LLM will cite. Occupied prompts require displacement.
For a brand currently in the 9–30% SoV band — Alo Yoga, Outdoor Voices, Rothy's, Gymshark, Girlfriend Collective, Cuyana, Reformation — the next three quarters should be structured around three specific moves.
Days 1–90: Commission one long-form third-party review on a Substack or editorial outlet that LLMs already cite. The target is not a sponsored post. The target is an authored piece by a named reviewer in a publication that appears in the source graphs of ChatGPT, Gemini, and Perplexity. A wardrobe stylist or sustainability journalist publishing a 2,500-word review on your brand's fit, fabric sourcing, and comparison to two named competitors is the right shape. Target one piece per prompt cluster you want to own.
Days 30–120: Build a structured Reddit presence through listening and sanctioned formats, not brand-account posting. Perplexity and Google AIO weight Reddit heavily. But brand accounts cannot moderate independent communities, and subs like r/femalefashionadvice, r/malefashionadvice, and r/BuyItForLife have strict anti-promotion rules — overt brand participation typically results in bans and backlash. The correct play has three parts: (1) social listening on existing threads to understand sentiment and fit objections, (2) seeding product to authentic Reddit-native reviewers who post organically, and (3) participating only through sanctioned formats such as moderator-approved AMAs. The goal is presence in the top three organic threads for each of your five target prompts — earned, not placed.
Days 60–180: Publish a comparison page on your own domain structured around the specific head-to-head prompts you want to win. Self-authored comparison content may help reinforce head-to-head query visibility — for example, a "Rothy's vs Allbirds for travel" or "Rothy's vs Everlane for work" page. Structure with clear headings, tables, and a verdict. LLMs ingest and synthesize this content, and because it is self-authored it is the cheapest source to control. Pair with schema markup for AIO pickup.
This analysis is based on 240 engine calls distributed evenly across ChatGPT, Perplexity, Gemini, and Google AI Overviews (60 calls per engine), using 60 shopper prompts constructed to mirror the query distribution of real D2C apparel purchase research (generic category queries, comparison queries, use-case queries, and demographic-specific queries). Share of voice is computed as the percentage of measured engine calls in which a brand was named in the AI response, averaged across engines; a brand cited twice in one response counts once. Average position is computed as the mean ordinal position of the brand across all responses in which it appeared. We tracked 29 D2C apparel brands. Brands with zero citations across all 240 calls are reported as 0% SoV with no position data. Prompt-cluster and unclaimed-territory interpretations in this report are inferred from brand-level citation patterns and should be validated against prompt-level win data in a follow-on cut.
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