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- Sustainable fashion brand
From ad spend to organic growth
A new category architecture, content built around search intent and optimisation for AI search engines for a sustainable fashion online store with a large catalogue.
- Reduce dependence on paid advertising
- Rank the categories with the highest demand
- Make the brand easy for AI assistants to read and cite
- Retain rankings during the migration
A catalogue with no search structure
Fashion retailers often rely on paid advertising for most of their sales. Acquisition costs creep up over time, and the organic channel brings in little beyond branded searches.
Categories tend to mirror the internal organisation by collection and season rather than what customers actually search for. Filters generate thousands of indexable URLs, and several categories end up competing for the same queries.
How we do it
- 01Demand research
Sector searches grouped by intent and cross-referenced with the catalogue and margins.
- 02New architecture
Demand-led categories, filters indexable only where they have their own search volume, and a complete redirect plan.
- 03Intent-led content
Category copy, buying guides and articles on materials and certifications, with verifiable data and sources.
- 04AI SEO
Structured data, mentions in trade media and monthly tracking in ChatGPT, Perplexity and Gemini.
Project phases
- Months 1–2
Audit and demand
Technical audit, cannibalisation analysis and keyword research.
- Months 2–3
Architecture and migration
New category structure, filter rules and redirects.
- Months 3–6
Content
Category copy, buying guides and supporting articles.
- Months 6–9
Authority and AI SEO
Media mentions, structured data and tracking in AI assistants.
Disciplines in this project
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