Visual search replacement
People describe style in words in LLM prompts instead of filtering on Google Shopping. The brand cited first captures the decision.
GEO audit by industry
GEO audit for fashion brands: how ChatGPT cites your label
Searches like "best winter coat", "quality Italian bags", "sustainable Zara alternatives" no longer end on Google alone. ChatGPT, Gemini and Perplexity answer directly, and name 3-5 brands. If you're not one of them, you lose the first touchpoint.
Why your industry needs a GEO audit
Fashion thrives on brand awareness and perceived positioning. When someone asks an LLM "give me an emerging Italian brand for leather jackets", the model picks 3 names. Without a GEO audit you don't know whether you're one of them, against whom you compete, and why the model picks the others.
Marketplace competition
LLMs frequently cite Zalando, Farfetch, Amazon Fashion instead of the brand. You need to surface as a primary source, not a catalog entry.
Seasonal collections
LLM training data has a cutoff: the current FW collection may not be cited unless you have structured signals.
Sample prompts where your brand should appear
These are the kinds of buyer-intent prompts ChatGPT, Gemini and Perplexity surface daily for your category.
- "best Italian brand for minimalist sneakers"
- "sustainable alternatives to Zara for men"
- "where to buy artisan leather bags made in Italy"
- "emerging sustainable fashion brands under €200"
What we measure
Four objective metrics that translate into actions: brand recall, share of voice, citation sentiment and competitor coverage.
Brand recall
How often your brand is mentioned spontaneously on category-level prompts.
Share of voice
Your citation share vs the real competitors in the audited prompt set.
Sentiment
How the brand is described: quality, price, target. Variance across LLMs.
Competitor map
The 5-10 brands you compete with in AI answers, including ones you didn't see on Google.