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Case study · premium resale

Wethenew

How Wethenew prepares its category expansion for the age of AI search

The catalogue is moving beyond streetwear. How generative engines perceived the brand had stayed on the historical core. Here is what we measured, then corrected.

+20

brand fit points

on cosmetics, the category furthest from sneakers

Brand fit: one axis of the composite score measured by ResonanceMetrics.

Skin Self-Refreshing SPF30

Skin Self-Refreshing SPF30

brand fit 45 → 65

The product page used as the reference case for the catalogue’s move into cosmetics.

Wethenew at a glance

Company

Premium resale platform, founded in 2018, based in Paris

Presence

6 countries

Catalogue

Sneakers, streetwear, fragrance, collectibles — all authenticated

Relationship

Design partner since April 2026, customer since October 2026

Quotes

« On cosmetics, we were starting from far behind: AI associated us with sneakers and streetwear, not with beauty. In a few months, our brand fit in this category rose by 20 points, from 45 to 65 on our reference products. Engines are starting to recognise us as a credible player beyond our historical core, and that is exactly what we needed to support the catalogue expansion. »

Léo Gaveriaux, Head of Ecommerce, Wethenew

the context

wethenew already performed in its original category, but still had to convince on new products

Wethenew had already unified how the catalogue is presented as it expanded beyond streetwear. The semantic question remained: does AI recognise and recommend the brand consistently across those same new categories? The April 2026 audit answered no.

0%

visibility on exploration prompts

Share-of-voice leader on “Wethenew vs GOAT”, absent from open questions about streetwear, trends, and new brands.

28 / 100

semantic alignment

“Limited edition”, “Fast delivery”, “Luxury”: attributes the brand claims, entirely absent from AI answers.

42%

of answers mentioned authenticity

The core differentiator of resale appeared in fewer than one answer out of two.

the approach

The method

Diagnose at brand level with GEO, then check and correct at product-page level with APO. Each SKU receives a composite score — the minimum of three axes (brand fit, intent match, technical foundation) — recalculated weekly, with real traffic crossed against Google Analytics 4 to check that the score shows up as a result, not only as a dashboard number.

The APO feature

Native Shopify integration with an automatically synced catalogue, configured by filters (include or exclude collections and tags) so the analysis targets priority SKUs instead of drowning in the whole catalogue.

The partnership

This work was built inside a “design partner” engagement that started in April 2026 — Wethenew was one of the very first catalogues on which APO was tested and refined before its commercial launch.

the results

The further a category sits from the streetwear core, the higher the step.

Three products, three distances from the historical core, three stages of progress. We start with the category furthest behind: that is where the diagnosis is most useful.

Skin Self-Refreshing SPF30
Blocked, diagnosis confirmed

Skin Self-Refreshing SPF30

Cosmetics — furthest from the core

Brand fit from 45 to 65, intent from 63 to 76. The composite has stayed stuck at 55 since June: the brand caps the score, not the content.

progress35%
Boston Suede Leather Narrow Khaki
In progress, it’s working

Boston Suede Leather Narrow Khaki

Beyond sneakers — adjacent category

Intent match from 62 to 77. AI traffic share moves from 0% to 4.9% after the content work.

progress70%
Fear of God Essentials Hoodie
Already there

Fear of God Essentials Hoodie

Streetwear — historical core

Composite score at the ceiling. AI traffic multiplied by eight, from 13 to 108 views: the largest volume in the catalogue.

progress100%

The cosmetics case is not isolated: on the latest run, several leather-goods products (another new category) also gained ten brand fit points.

the proof

What an engine answers when you ask the real question.

Google AI Mode answer to “where to buy a fear of god essentials hoodie”, citing Wethenew

and for you

Is your catalogue expanding faster than how your brand is perceived?

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How Wethenew prepares its category expansion for AI search | ResonanceMetrics