In focus
I look closely at how catalogue-heavy brands lose their category shape when product names, collection copy, marketplace language, and reviews all point in slightly different directions.
A product can be well made, well priced, and still vanish inside an AI answer because the machine cannot tell what it is, who it sits beside, or why it should be trusted. I help e-commerce and DTC teams steady the language around their catalogue, categories, proof, and comparisons, so AI-assisted shoppers meet the brand in a shape that holds.
I look closely at how catalogue-heavy brands lose their category shape when product names, collection copy, marketplace language, and reviews all point in slightly different directions.
AI misquotes product description patterns often reveal unstable product language across pages, channels, and proof.
I am Rowan Vale, working from the north of England. I help small e-commerce and DTC teams steady the language around their catalogue, so a product reads as the same object across the page, the collection, the marketplace, and the AI answer. The work sits close to the shelf: naming, category, proof, and the comparison set.
Start with the catalogue, the proof, and the comparison set. The prompt comes later.
Contact Rowan