# What is ecommerce site search? The complete guide > Ecommerce site search explained, how it works, key metrics, AI enhancements, merchandising controls, and how to evaluate search platforms for your online store. How search works in online stores, the metrics that matter, and what to look for in a search platform ## How ecommerce site search works Ecommerce site search is the search functionality on an online store that helps shoppers find products by entering queries. Visitors who use site search convert at roughly 1.8x the site average (4.63% vs 2.77%) according to Econsultancy, and even though searchers are usually a minority of visitors, they account for a disproportionate share of revenue because they self-select for purchase intent. ## The metrics that matter This guide covers how site search works, the metrics you should track, how AI is changing search quality, and what to look for when evaluating search platforms, without assuming you need any specific vendor. ## How AI is changing ecommerce search At its simplest, site search takes a query, matches it against a product catalog index, and returns ranked results. In practice, modern search involves several layers working together. ## Search merchandising: where automation meets control Hello Retail's search combines AI-powered relevance with full merchandising control across Shopify, Magento, and custom platforms. ## How to evaluate a site search solution ## See how search works in practice The search engine interprets the shopper's query, correcting typos, expanding abbreviations, applying synonyms, and parsing natural language. "Runnign shoes size 10 mens" becomes a structured query for men's running shoes in size 10. ## Frequently asked questions ### What is ecommerce site search? Ecommerce site search is the search functionality on an online store that helps shoppers find products by typing queries. It includes features like autocomplete, spell correction, synonym matching, and faceted filtering. Visitors who use site search convert at roughly 1.8x the site average (4.63% vs 2.77%) according to Econsultancy, searchers self-select for high intent, and effective search converts that intent into purchases. ### How does AI improve ecommerce search? AI improves ecommerce search by understanding intent rather than just matching keywords. Natural language processing handles queries like 'warm jacket for hiking' by understanding the context, while vector similarity finds products that are semantically related even when they don't share exact words. AI-powered synonyms automatically learn that 'sofa' and 'couch' mean the same thing without manual configuration. ### What is a zero-result rate and why does it matter? The zero-result rate is the percentage of searches that return no products. Every zero-result search is a lost sale opportunity. Reducing it requires synonym management, spell correction, and product data enrichment to ensure searches match actual inventory. The right target depends on your catalog size and query mix, track the trend in your own analytics rather than chasing an industry-wide benchmark. ### How do you measure site search performance? The key metrics are: search conversion rate (percentage of searches that lead to a purchase), click-through rate (percentage of searches where a shopper clicks a result), zero-result rate (searches returning no products), search exit rate (shoppers who leave after searching), and revenue per search. Track these weekly and benchmark against your overall site conversion rate. ### What is the difference between site search and product discovery? Site search is one component of product discovery. Product discovery encompasses all the ways shoppers find products, search, category browsing, recommendations, filters, and merchandised collections. Site search handles explicit intent ('I know what I want'), while broader product discovery also addresses implicit intent ('show me something I might like'). ### How does search merchandising work? Search merchandising gives ecommerce teams control over what appears in search results beyond pure relevance ranking. It includes boosting products (pushing high-margin or seasonal items higher), burying products (suppressing out-of-stock or low-margin items), creating redirects (sending 'sale' searches to a curated landing page), and pinning specific products to the top of results for strategic queries. ### What should I look for when choosing an ecommerce search platform? Evaluate on six criteria: relevance quality (does it understand intent, not just keywords?), speed (perceived as instant), merchandising controls (can your team boost, bury, redirect?), analytics (search terms, zero-results, conversion by query), integration complexity (how long to implement with your platform?), and pricing model (per-query, per-session, or flat fee). --- For the full interactive experience, visit [helloretail.com/en/learn/ecommerce-site-search](https://helloretail.com/en/learn/ecommerce-site-search) ## About Hello Retail Hello Retail is an AI-powered ecommerce personalization platform based in Copenhagen, Denmark. We help online retailers improve search, recommendations, merchandising, email, and retail media through our proprietary Product Intelligence engine. - **Website**: [helloretail.com](https://helloretail.com) - **Demo**: [Book a Demo](https://helloretail.com/en/demo/) - **AI information**: [helloretail.com/en/ai-info](https://helloretail.com/en/ai-info) --- *This content is optimized for LLM consumption.*