---
title: Build commerce search pages
slug: o4ue0200
canonical_url: https://docs.coveo.com/en/o4ue0200/
collection: coveo-for-commerce
source_format: adoc
---
# Build commerce search pages

Search pages are feature-rich user interfaces that let [visitors](https://docs.coveo.com/en/nbub9475/) search for products in your [storefront](https://docs.coveo.com/en/p33g0410/).
In Coveo for Commerce, search pages are the interfaces that power the [Search product discovery solution](https://docs.coveo.com/en/o53d9587#search).

Coveo for Commerce search pages provide the experience your commerce [visitors](https://docs.coveo.com/en/nbub9475/) expect, with features such as:

* An intelligent search box that suggests personalized [queries](https://docs.coveo.com/en/231/) and products as [visitors](https://docs.coveo.com/en/nbub9475/) type.

* Intelligent and personalized search results that are tailored to each [visitor](https://docs.coveo.com/en/nbub9475/).

* Dynamic faceted search that lets [visitors](https://docs.coveo.com/en/nbub9475/) filter search results by product attributes.

* Pagination that lets [visitors](https://docs.coveo.com/en/nbub9475/) navigate through search results.

![Search discovery experience | Coveo](https://docs.coveo.com/en/assets/images/coveo-for-commerce/images/search-discovery.gif)

## How to build the search experience

To implement a Coveo-powered search page:

. [Build your search page user interface](https://docs.coveo.com/en/o7mc0297/).

. [Set up facets](https://docs.coveo.com/en/p3oa0420/) for the search page using the [Facet manager](https://docs.coveo.com/en/p63f0211/) in the [Coveo Merchandising Hub (CMH)](https://docs.coveo.com/en/o5290573/).

> **Note**
>
> If the [Facet manager](https://docs.coveo.com/en/p63f0211/) isn't enabled for your [organization](https://docs.coveo.com/en/185/), you'll have set up your [facets](https://docs.coveo.com/en/198/) in the next step using the Query Configurations API.

. [Create query configurations](https://docs.coveo.com/en/pbbf0247/) using the Query Configurations API.
These configurations set certain parameters for your search pages, such as sort criteria and additional [fields](https://docs.coveo.com/en/200/).

. (Optional) [Create or modify rules](https://docs.coveo.com/en/o4nh0587#search-manager-rules) for the search page using the [Search manager](https://docs.coveo.com/en/p63f0210/) in the [Coveo Merchandising Hub (CMH)](https://docs.coveo.com/en/o5290573/).

## Machine learning and personalization

To leverage Coveo-powered commerce search pages to their full potential, configure [Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188/) [models](https://docs.coveo.com/en/1012/) that will:

* Personalize search results for each [visitor](https://docs.coveo.com/en/nbub9475/).

* Increase your product inventory coverage.

* Improve the search relevance.

* Provide relevant filter options.

* Increase important business metrics such as conversion rate and average order value.

For optimal results, you should configure the following [Coveo ML](https://docs.coveo.com/en/188/) [models](https://docs.coveo.com/en/1012/) to power your commerce search pages:

[%header,cols="2"]
|===
|Model type
|Purpose

|[Predictive Query Suggestion (PQS)](https://docs.coveo.com/en/m1ol5526/) or [query suggestions](https://docs.coveo.com/en/1015/)
|These [models](https://docs.coveo.com/en/1012/) suggest personalized queries to [visitors](https://docs.coveo.com/en/nbub9475/) as they type in the search box.
This feature helps [visitors](https://docs.coveo.com/en/nbub9475/) find what they're looking for faster, and it increases the chances of them finding products they're interested in.
PQS brings personalization to another level by leveraging [Coveo Personalization-as-you-go](https://docs.coveo.com/en/m5kd0347/) capabilities.  
To learn more about PQS [models](https://docs.coveo.com/en/1012/) and how to configure them, see [About Predictive Query Suggestions (PQS)](https://docs.coveo.com/en/lcee0589/).

|[Automatic Relevance Tuning (ART)](https://docs.coveo.com/en/1013/)
|This [model](https://docs.coveo.com/en/1012/) improves the ranking of products presented in search results.
It learns from user interactions like clicks, add-to-cart, and purchases to automatically adjust the ranking of products in search results and listing pages.
ART uses machine learning to predict the relevance of each product for a given query and user context, and then adjusts the ranking of products accordingly.
To learn more about ART [models](https://docs.coveo.com/en/1012/) in the context of commerce and how to configure them, see [About Automatic Relevance Tuning (ART) for Coveo for Commerce](https://docs.coveo.com/en/o3m90077/).

|[Intent-Aware Product Ranking (IAPR)](https://docs.coveo.com/en/m61h0552/)
|This [model](https://docs.coveo.com/en/1012/) personalizes and ranks search results for each [visitor](https://docs.coveo.com/en/nbub9475/) based on their intent.
It detects [visitors](https://docs.coveo.com/en/nbub9475/)' intent in real time and can quickly adapt to changes in behavior.
This [model](https://docs.coveo.com/en/1012/) also leverages [Coveo Personalization-as-you-go](https://docs.coveo.com/en/m5kd0347/) capabilities and can increase your product inventory coverage by providing products that [visitors](https://docs.coveo.com/en/nbub9475/) are likely to be interested in based on their intent, not just on popularity.  
To learn more about IAPR [models](https://docs.coveo.com/en/1012/) and how to configure them, see [About Intent-Aware Product Ranking (IAPR)](https://docs.coveo.com/en/m5vg6516/).
|===