How a cosmetics brand started appearing in ChatGPT for 'vegan cosmetics' and 'sensitive skin'
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A Spanish natural cosmetics brand had an invisible problem: it didn't appear in ChatGPT when users searched for products related to vegan cosmetics or sensitive skin. Despite good positioning in traditional channels, AI didn't associate the brand with those categories.
The problem
Searches like "recommended vegan cosmetics", "products for sensitive skin" or "natural cosmetics brands" didn't include the brand. Without semantic association with its key categories, the brand was invisible to AI.
FAIV™ Diagnosis
- No semantic association with 'vegan cosmetics' and 'sensitive skin' categories
- Weak content structure for AI engines
- Misalignment between value proposition and how AI interpreted the brand
Solution applied
AIP™Semantic category redefinition
Semantic restructuring with redefinition of the brand's main categories, oriented to the queries users make in AI engines.
Key entity reinforcement
Creation and optimization of specific content for 'vegan cosmetics' and 'sensitive skin' categories, with clear signals for AI to establish the association.
Cross-channel signal alignment
Unification of messaging across web, social and external media so all sources AI consults convey the same positioning.
Results
90 days
- Appeared among the first mentions in ChatGPT and Gemini for vegan cosmetics queries
- Featured positioning in searches for sensitive skin products
- Improved perceived authority in its natural and vegan category
Key learning
“It wasn't a content quantity problem — AI didn't understand which category to position the brand in. Once the correct semantic association was defined, visibility was immediate.”
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