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McLeuker Deep Research: Cited Fashion Research Reports
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SeriesMeet the Studios7/17
Product Guide6 min readSeptember 24, 2026

McLeuker Deep Research: Cited Fashion Research Reports

Deep Research turns a fashion question into a cited report you can edit, researched live from several angles, with concrete claims checked against two sources.

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McLeuker Research

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Contents

  1. 01Deep Research in one minute
  2. 02How it works
  3. 03What you get back
  4. 04Where it fits across the nine sectors
  5. 05Briefs to try
  6. 06What it does not do
  7. 07Frequently asked questions

McLeuker Deep Research is the studio in McLeuker AI that turns a research question about fashion into a finished, cited report. You ask the question the way you would brief an analyst; it researches the question live from several angles at once, checks concrete claims against two independent sources, and hands back the document you would actually circulate, as an editable PDF or Word file with the sources numbered in the body.

Deep Research returns the finished document, with its sources under it
A competitive landscape produced by the platform: the finished document, not a summary somebody has to rebuild.

Deep Research in one minute

  • What you give it: a question, with the scope, the audience and any angles you already know you need.
  • What you get back: a structured report as an editable PDF or DOCX, with every claim carrying the source it came from.
  • How deep it goes: you pick Brief, Standard or Comprehensive. Standard is the default; Comprehensive reads up to twenty unique sources.
  • Who it is for: insight and strategy teams, buyers and merchandisers, investors doing diligence, and anyone who has to defend a number in a meeting.
  • Where to start: the Deep Research page shows real reports. Sign up and ask your question in the workspace.

How it works

  1. It splits your question into angles. A question about a competitor becomes pricing, product, channels, recent moves and so on: two to eight angles per wave, run at the same time rather than one after another.
  2. It reads live. Each angle goes down a chain of search providers, so the answer is as current as its sources rather than as old as a model's training.
  3. It deduplicates. Sources are collapsed by address, up to twenty unique ones, so one article quoted by ten sites counts once.
  4. It cites in the body. Every source goes into a numbered ledger, and the number sits beside the claim it supports.
  5. It writes the document. Sections, reasoning and the source list, rendered as a file you can open, edit and forward.

What you get back

A report reads like a report: an executive summary, sections that follow the argument, figures where they help, and the full source list at the end. It arrives as a PDF for circulating or a DOCX for editing. The three examples on the product page are a brand deep-dive, a competitive landscape of the contemporary womenswear set, and a personal luxury goods report; you can page through all three before you sign up.

Where it fits across the nine sectors

  • Fashion: read the season before the range is locked, or profile a competitor in depth.
  • Beauty and skincare: check what a claim needs before it is printed and know which actives the category is moving to.
  • Catwalks: get the first read on a show season while it is still worth having.
  • Culture: verify every archive reference before it runs.
  • Sustainability: know what ESPR and CSRD ask of you, and by when.

See every Deep Research task on the use cases page.

Briefs to try

  • "A brand deep-dive on the contemporary womenswear label we lose customers to: positioning, price ladder, channels and recent moves."
  • "Which actives are rising in barrier-repair skincare for 2027, what does the evidence support, and who already uses them?"
  • "What do ESPR and CSRD require of a mid-sized apparel brand selling in the EU, and by which dates?"

What it does not do

  • It does not replace your own data. If the answer depends on your sell-through or your costs, bring those figures in; Reports builds documents from your own numbers.
  • It is not a library of old reports. Each report is researched when you run it, which is the point, and also means the same question asked next quarter can return a different answer.
  • It does not stop at twenty sources. It stops at twenty unique sources per run. A question broader than that is better asked as two.

Frequently asked questions

What is McLeuker Deep Research?

It is the research studio in McLeuker AI, the AI platform built for the fashion industry. You ask a question about a market, brand, trend, material or regulation, and it returns a cited report as an editable PDF or DOCX.

How is it different from asking a chatbot?

A chatbot answers from what it remembers and rarely shows where a claim came from. Deep Research reads live sources at the time of the run, checks concrete claims against two independent sources, and numbers every citation in the body so you can check it.

How long does a report take?

It depends on the depth you pick. Brief is fastest; Comprehensive reads the most sources and takes longest. Every run shows its price before it starts.

Can I edit the report?

Yes. DOCX opens in Word or Google Docs with its headings and styles intact, and the PDF is there for when you need a fixed record.

What kinds of questions work best?

Questions a decision rests on: what a competitor is doing, whether a category is growing, what a regulation requires, which suppliers hold a certification. The sharper the question, the sharper the report. For the method behind it, read why multi-model research beats a single model.

McLeuker AI is the AI platform built for fashion: research, creative and production studios that each turn a brief into a finished file. See every studio on the products page, or open Deep Research and ask the question you would normally give an analyst a week to answer.

Follow McLeuker Research: LinkedIn · Instagram · X.

Filed under

#trend-forecasting#brand-forecasting#industry-analysis

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