Fashion covers brands and shops that sell clothing, shoes, accessories, jewellery and watches. Questions put to AI assistants in this industry mix taste with verification: which brand makes a cashmere sweater that lasts, whether a label is ethical, how a cut fits. The answers therefore cite brand websites alongside review platforms, certification bodies, public guidance on labelling and community discussions.

7'875
AI answers in this industry
Trustpilot
most cited domain (5.59 per 100 answers)
Trustpilot
most cited platform (4.99 per 100 answers)

Key takeaways

  • 4 of the 20 most cited domains in Fashion are tracked platforms (Trustpilot, Reddit, Wikipedia and YouTube), more than in most sectors (median: 1).
  • Closest sector by cited sources: Home & Furniture (4 of the 20 most cited domains in common).

Summarize this page with ChatGPTClaudePerplexity

What changed in September 2026

  • Answers analyzed 3'300 (▲ 26% vs August 2026)
  • First domain Trustpilot (4.82 per 100 answers)
  • First platform Trustpilot (4.42 per 100 answers)

Months compared: September 2026 and August 2026. The platforms that rose and fell the most are listed just below.

Biggest movers in September 2026

Rises

  1. Reddit1.30 to 1.33+0.03 pt

Falls

  1. Wikipedia2.02 to 0.24-1.78 pt
  2. YouTube1.33 to 0.70-0.63 pt
  3. Trustpilot4.88 to 4.42-0.46 pt

Most cited domains in AI answers, Fashion

8 of the 10 most cited domains in Fashion (eric-bompard.com, hircus.fr and wedressfair.fr) do not appear among the 50 most cited domains of the whole panel.

How to read it: each bar is a domain; its length is its number of citations per 100 answers over the selected period and filters.

Domains ranked by citations per 100 answers, all periods combined.

RankRank changeDomainCitationsper 100 answersShare of citations12 months
1UnchangedTrustpilot trustpilot.com4405.591.37%Trend: 7.03 in Jul 2026, 4.82 in Sep 2026, high 7.03.
2Unchangederic-bompard.com2523.200.78%Trend: 4.00 in Jul 2026, 2.82 in Sep 2026, high 4.00.
3Down 2hircus.fr1992.530.62%Trend: 2.05 in Jul 2026, 2.39 in Sep 2026, high 3.05.
4Up 1economie.gouv.fr1962.490.61%Trend: 1.74 in Jul 2026, 2.70 in Sep 2026, high 2.78.
5Up 1wedressfair.fr1942.460.60%Trend: 3.23 in Jul 2026, 2.21 in Sep 2026, high 3.23.
6Up 2johnstonsofelgin.com1812.300.56%Trend: 1.95 in Jul 2026, 2.42 in Sep 2026, high 2.42.
7Down 1etsy.com1802.290.56%Trend: 1.90 in Jul 2026, 2.36 in Sep 2026, high 2.48.
8Down 2uniqlo.com1662.110.52%Trend: 2.31 in Jul 2026, 1.88 in Sep 2026, high 2.31.
9Up 2kujten.com1481.880.46%Trend: 1.54 in Jul 2026, 1.94 in Sep 2026, high 2.06.
10Down 5watches-of-switzerland.co.uk1461.850.45%Trend: 2.21 in Jul 2026, 1.45 in Sep 2026, high 2.21.
11Up 1Reddit reddit.com1411.790.44%Trend: 3.23 in Jul 2026, 1.33 in Sep 2026, high 3.23.
12out of topWikipedia wikipedia.org1161.470.36%Trend: 3.23 in Jul 2026, 2.02 in Aug 2026, high 3.23.
13Up 1patagonia.com1031.310.32%Trend: 2.10 in Jul 2026, 1.00 in Sep 2026, high 2.10.
14out of topgoldsmiths.co.uk931.180.29%Trend: 2.21 in Jul 2026, 1.90 in Aug 2026, high 2.21.
15Up 8cashmere.org851.080.26%Trend: 1.22 in Aug 2026, 1.61 in Sep 2026, high 1.61.
16out of topYouTube youtube.com780.990.24%Trend: 2.21 in Jul 2026, 1.33 in Aug 2026, high 2.21.
17out of toplafabriquedecharpe.fr740.940.23%Trend: 1.69 in Jul 2026, 1.56 in Aug 2026, high 1.69.
18Down 4www2.hm.com650.830.20%Trend: 1.22 in Aug 2026, 1.00 in Sep 2026, high 1.22.
19out of topoeko-tex.com640.810.20%Trend: 1.54 in Jul 2026, 1.30 in Aug 2026, high 1.54.
20No comparisonethikdo.co590.750.18%3.03 in Jul 2026.

Rankings are rebuilt from monthly rankings: the counts at the end of a list can be minimums. Industry: the business of the analyzed website, classified by Sorank. Data since July 2026. Rank change: rank in the September 2026 monthly list against August 2026 (new: absent from the August 2026 list). A dash: fewer than 1'000 answers in one of the two months in this scope, or absent from the September 2026 list. 12 months: monthly rate per 100 answers; gaps when the domain is out of the monthly list, hollow points for months under 1'000 answers.

Most cited platforms in AI answers, Fashion

Trustpilot is the platform AI cites most in Fashion: 4.99 citations per 100 answers, 2.3 times its rate across all sectors over the same months (2.13).

How to read it: each bar is one of the tracked platforms; its length is its number of citations per 100 answers over the selected period.

RankRank changePlatformper 100 answers12 months
1UnchangedTrustpilot4.99Trend: 6.10 in Jul 2026, 4.42 in Sep 2026, high 6.10.
2Up 2Reddit1.77Trend: 3.13 in Jul 2026, 1.33 in Sep 2026, high 3.13.
3Down 7Wikipedia1.54Trend: 3.08 in Jul 2026, 0.24 in Sep 2026, high 3.08.
4Down 1YouTube1.28Trend: 2.21 in Jul 2026, 0.70 in Sep 2026, high 2.21.
5Up 2Amazon0.89Trend: 1.18 in Jul 2026, 0.76 in Sep 2026, high 1.18.
6Up 2Facebook0.56Trend: 0.92 in Jul 2026, 0.58 in Sep 2026, high 0.92.
7Down 1Shopify0.56Trend: 0.92 in Jul 2026, 0.42 in Sep 2026, high 0.92.
8out of topInstagram0.43Trend: 1.38 in Jul 2026, 0.00 in Sep 2026, high 1.38.
9Up 8LinkedIn0.29Trend: 0.15 in Jul 2026, 0.55 in Sep 2026, high 0.55.
10Up 5Apple0.24Trend: 0.46 in Jul 2026, 0.24 in Sep 2026, high 0.46.

Rank change: rank among the platforms cited in September 2026 against August 2026 (new: not cited in August 2026). A dash: fewer than 1'000 answers in one of the two months in this scope, or not cited in September 2026. 12 months: monthly rate per 100 answers, hollow points for months under 1'000 answers.

AI models compared

AI assistants do not agree on the first source in Fashion: ChatGPT and Perplexity cite Trustpilot first; Gemini cites eric-bompard.com first.

How to read it: left, how the citations split between the five models; right, each model's citations per 100 answers, month by month.

Share of citations
Monthly evolution

First source of each AI model in Fashion

ModelFirst sourceper 100 answersSecond source
ChatGPTTrustpilot trustpilot.com6.44economie.gouv.fr
Geminieric-bompard.com8.08Trustpilot trustpilot.com
PerplexityTrustpilot trustpilot.com3.62wedressfair.fr

Which fashion questions do people put to AI assistants?

Few people ask an AI to show them a dress. They turn to an assistant when they want a judgement that a product photo cannot give them.

  • Quality and materials: "best cashmere sweater that doesn't pill", "is merino wool worth the price", "how to tell real leather from fake".
  • Brand reputation: "is [brand] good quality", "does [brand] run small".
  • Ethics and sustainability: "ethical alternatives to fast fashion", "clothing brands made in Portugal", "what does OEKO-TEX mean".
  • Gifts and investment pieces: "watch that holds its value over time", "jewellery brand for a first anniversary".

Brand sites, reviews and standards: the fashion source mix

The sources cited follow these intents. Review platforms, Trustpilot above all, handle reputation questions: they are the quickest way for a model to report what buyers say about sizing, delivery and returns.

Brand websites take a large share when the prompt names a material or a product type. Knitwear specialists, outdoor brands and mass retailers such as Uniqlo, Patagonia or H&M are cited for their product descriptions, care guides and explanations of fibres.

A third group is made of standards and public bodies: textile certifications like OEKO-TEX, trade associations that define fibres such as cashmere, and government pages on labelling, green claims or consumer rights. Reddit threads, YouTube try-on videos and Wikipedia entries add the user experience and background layers, while marketplaces like Etsy surface for handmade jewellery and accessories.

Why transparency pages get cited

Fashion is an industry where proof weighs more than claims. A model asked "is this brand ethical" cannot rely on a slogan; it looks for named factories, fibre origins, certifications, repair or resale programmes. Brands that publish this information in plain text give the AI something concrete to quote.

The same logic applies to fit and care. Size guides with real measurements, fabric weights and washing instructions answer questions that photos leave open, and they are easy for a model to extract.

Vague pages work against a brand. If the only page about sustainability is a mood board, the assistant will cite a third-party ranking or a critical article instead. In GEO (Generative Engine Optimization) terms, a detailed transparency page is one of the most citable assets a fashion brand can own.

How AI assistants differ on fashion prompts

Assistants that search the web for every answer, like Perplexity, tend to mix brand pages with community sources (Reddit, YouTube, Instagram) and ethical fashion guides. ChatGPT, when it browses, regularly brings in regulatory and reference pages for questions about labels or environmental claims. Gemini, grounded in Google Search, often links straight to brand sites.

These tendencies shift with the wording of each prompt. A fashion brand therefore needs to exist in several types of sources (its own site, reviews, independent guides, community discussions) rather than bet on a single one.

Actions for fashion brands that want AI citations

  1. Publish a materials page for each key fibre you use, with origin, grade, weight and care instructions, so models can answer quality questions with your own text.
  2. Back every sustainability claim with verifiable facts: certifications held, factory locations, audit summaries. Unsupported green claims are a legal risk in the EU and give an AI no reason to cite you.
  3. Add size guides with body and garment measurements in text, plus fit notes ("runs small", "relaxed cut") that mirror how shoppers phrase their questions.
  4. Ask customers for reviews on an independent platform such as Trustpilot and answer complaints about sizing or returns publicly.
  5. Take part in community discussions as an identified brand on Reddit and fashion forums, and work with creators who publish honest try-on or wear-test videos.
  6. Get listed in ethical fashion guides, certification directories and "made in" registries relevant to your production, the third-party pages AI models trust for sustainability prompts.

Frequently asked questions

Why does ChatGPT cite Trustpilot when I ask about a clothing brand?

Because a review platform summarises what many buyers say about quality, sizing, delivery and returns, which is exactly what a reputation question needs. A brand's own pages describe products but cannot prove satisfaction. If a fashion brand has few reviews, or only on its own site, the assistant lacks an independent source and will either stay vague or quote complaints found elsewhere.

How can a small fashion label appear in AI recommendations?

Aim for precise prompts rather than broad ones. A small label will rarely be named for "best clothing brand", but it can be named for "linen shirts made in Portugal" or "recycled cashmere sweater for women" if its pages describe those products in detail. Mentions in ethical fashion guides, press articles and community threads then confirm the label to the model.

Do AI assistants trust sustainability labels?

They treat recognised certifications as stronger evidence than brand statements. Labels such as OEKO-TEX, GOTS or Fair Wear are documented on public websites, so a model can check what they cover and cite them. A brand that lists its certificates with their scope is easier to recommend for an ethical prompt than one that only calls its clothes "eco-friendly".

Which websites do AI assistants cite for Fashion businesses?

Trustpilot (5.59 citations per 100 answers), eric-bompard.com (3.20) and hircus.fr (2.53), across 7'875 answers from ChatGPT, Claude, Gemini, Grok and Perplexity about Fashion businesses since July 2026.

Which platforms do AI assistants cite in Fashion?

Trustpilot (4.99 citations per 100 answers), Reddit (1.77) and Wikipedia (1.54).

Method and sources

387'471 answers from ChatGPT, Claude, Gemini, Grok and Perplexity, from August 2025 to September 2026, to the questions Sorank asks every week to follow its clients' visibility (88% of them in French). A citation is a source domain given in an answer; the rate is the number of citations per 100 answers. Data snapshot of 2 October 2026.

Full methodology · Raw data (JSON)

How to cite this page: Sorank Data, “Websites AI cites most in Fashion (September 2026)”, data.sorank.com, data snapshot of 2 October 2026.

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