AI site search is a website or app search function that interprets intent, handles typos and synonyms and ranks results by relevance and popularity. A search for "something for a rainy bike ride" can return waterproof jackets and ponchos.
Instead of matching exact keywords, it uses language models and vector search to understand meaning, and learns from what shoppers click and buy. It can also use product attributes and images, apply filters automatically and personalise ranking. Some tools offer a conversational, ask-a-question experience.
Online retailers use it because shoppers who search are often ready to buy, and poor results lose sales. A good search handles "no results" gracefully, promotes in-stock and high-margin products and reveals what customers want but you do not stock.
Quality depends on product data, so poor titles and missing attributes limit results. Check how it handles brand names, model numbers and Australian terminology and spelling. Review search analytics regularly and test against your current search before switching. Check the pricing model and any impact on page speed.
Search is a high-intent moment, so improving it can lift conversion more than many other website changes. Look at the top searches and the zero-result searches each month, since these are a free guide to range gaps, naming problems and demand you are missing.