Living style
Support terms such as industrial, Japandi, national or Scandinavian alongside concrete product names and brands.
AI Search →Living & furniture
Let customers find furniture the way they talk about it themselves.
Search questions often combine product type, living style, material, color, shape and size. Good product data and useful filters make that intention more directly discoverable.
Search behavior
Four signals often determine the choice of furniture.
Dimensions
Width, height, depth, shape and number of seats help bring back large collections quickly.
Filters →Material & color
Make fabric, wood, metal, color and finish consistently usable in search and facets.
Product data →Availability
Use inventory and delivery context where it is reliably available, so that result sets remain practically usable.
Operations →From inspiration to choice
Combine orientation and targeted search questions.
Descriptive questions
Questions such as “narrow black display cabinet” or “round table for four people” require multiple product characteristics at the same time.
Discovery
Help visitors who do not yet know an exact product with relevant categories, filters and similar options.
Merchandising
Use campaigns and stock priorities to complement a relevant basic ranking.
Merchandising →Analytics
Use search terms, zero-result searches, and click behavior to find missing product data and demand patterns.
Analytics →Rate search with your own furniture range.
Include product data, dimensions, filters and real customer questions in the demo.