One studio image becomes an interactive page that answers component questions before shoppers bounce — motor, battery, brakes, all of it.
Aria is a demo storefront we run to show what a product page can do when every component answers for itself. The brand is fictional; the experience below shows the kind of interactive viewer a merchant embeds on their own page.
A commuter e-bike is a high-consideration purchase. Motor class, battery range, braking in the rain: shoppers arrive with questions a spec table answers badly, and most leave without asking anyone.
Docent segmented the City One photo, named each part, and drafted a plain-language answer for every one — grounded in the approved spec data. Nothing here was written by hand, and nothing shipped without review.
Every detected part gets a labeled point of interest. Highlights glow at rest; the rest reveal on hover, so the photo stays clean.
Each click opens a card written from the maker's data — what the part is, why it matters on this bike, and the numbers behind it. If a fact isn't in the data, the card shows nothing.
The buy action follows the shopper into every component view, auto-tagged down to the part that convinced them — so the brand can prove what drove the order.