What is GEO (generative engine optimisation) in fashion?
Generative engine optimisation: making content easy for AI assistants and AI search tools to find, understand and cite.
In short
GEO, or generative engine optimisation, is the practice of making content easy for AI assistants and AI search tools to find, understand and cite. For fashion brands and publishers it aims to make their products, guidance and expertise appear in AI-generated answers.
How does it work in practice?
As people ask AI assistants for advice instead of browsing search results, the question becomes whether an assistant mentions a brand or quotes its content. GEO focuses on making information clear, factual and well structured so that AI systems can use it confidently. Typical practices include:
- Answering common questions directly and concisely at the top of a page.
- Using clear headings, lists and consistent terminology.
- Keeping product data, such as sizes, materials and care, accurate and consistent across channels.
- Providing structured data that machines can parse.
- Showing expertise and citing trustworthy sources.
A brand's sizing guide, for example, is more likely to be used if it is precise, consistent and easy to parse.
Why does it matter?
AI assistants increasingly influence discovery for consumers and for professional buyers researching suppliers, materials or trends. If a brand's information is vague, contradictory or hard to access, assistants may rely on other sources or give inaccurate answers about its products.
How does AI use it?
AI search tools retrieve content, judge its relevance and reliability, and summarise it. Content that is well organised and consistent with other trusted sources is easier to retrieve and cite. Consistent product master data across websites, marketplaces and retailer feeds helps assistants describe products correctly.
Common pitfalls
Some treat GEO as a set of tricks, filling pages with keywords or repetitive phrasing. This tends to reduce trust rather than build it. Others focus only on their website and ignore inconsistent data in partner channels. GEO works best as an extension of good SEO and good content: accurate, helpful and regularly updated.
Frequently asked questions
What is the difference between SEO and GEO?
SEO aims to rank pages in traditional search results. GEO aims to make content easy for AI assistants to understand and cite in generated answers, although both rely on clear, trustworthy content.
How can a fashion brand improve its visibility in AI assistants?
It can publish clear, factual content that answers common questions, keep product data consistent across channels and use structured data. Being cited by trustworthy sources also helps.
