Implement AI-Powered Search and Product Discovery
We help ecommerce businesses with AI-powered search for ecommerce. We implement, integrate, and tune search and discovery tools so customers find the right products faster.
The Challenge
Most Ecommerce Search Is Broken in Ways Teams Do Not Notice Until They Look
Product discovery is one of the most important parts of ecommerce conversion. If customers cannot quickly find the right products, they leave. Most do not search again. They go somewhere else. Shoppers who use site search convert at up to 5 times the rate of those who browse, which means broken search is a direct revenue problem, not just a UX issue. The frustrating part is that many businesses already own good search tools. The problem is not the tool. It is usually the product data feeding it. Or the relevance rules that were never configured. Or the analytics that were never set up.
Broken search is invisible to the business - but it costs you a sale every time a customer gives up and leaves.
Poor Product Data
Missing attributes, inconsistent naming, and thin descriptions are the most common reasons search returns weak results. The tool is only as good as the data behind it.
No Synonym Rules
A customer searching "trainers" should find "sneakers." A customer searching for "sofa" should find "couch." Without a synonym configuration, these queries return nothing.
Bad Relevance Ranking
Most out-of-the-box search sorts by date added or SKU order. That is not how customers think. Relevance tuning changes this.
Zero-Result Searches
These are the clearest sign of a broken search. Customers who hit a zero-result page abandon at a much higher rate than those who get even weak results.
No Merchandising Control
Without merchandising rules, teams cannot promote seasonal products, clear overstock, or surface high-margin items through search results.
Our Solution
We Connect the Tool, Fix the Data, and Tune Until the Numbers Move
We do not build search engines from scratch. We implement and tune proven search platforms: Algolia, Coveo, Salesforce Einstein Search, Shopify Search and Discovery, and others. Every AI product search website implementation we deliver covers the same foundations: clean product data, configured relevance rules, merchandising controls, and analytics connected from day one. AI-referred visitors already convert at 50% higher rates on Shopify product pages (Shopify Q1 2026). The brands capturing that are the ones with search that actually works.
Search Audit
We review your current search performance. Zero-result queries, abandoned searches, weak results, filter problems, and product data gaps. We show you exactly what is broken before anything is changed.
Product Data Mapping
We prepare product attributes, categories, tags, metadata, and structured data for indexing. This is the step most teams underestimate.
Search Tool Integration
We integrate the search platform into your storefront and backend systems. Algolia, Coveo, Salesforce Search, Shopify Search and Discovery, or the tool you already have but are not using properly.
Synonyms, Rules, and Merchandising
We configure synonyms, redirects, ranking rules, filters, and merchandising controls. This is where the relevance improvement happens.
Frontend Search Experience
We improve the search UI, autocomplete, filters, sorting, and product listing behaviour.
Analytics and Ongoing Tuning
We set up search analytics tracking: what customers search, what returns zero results, where they drop off, and which queries convert.
What We Deliver
From Search Audit to Ongoing Relevance Tuning
Use Cases
Six Search Problems We Fix for Ecommerce Teams
Platforms & Tools
AI-Powered Search Across Commerce Platforms
Algolia
Coveo
Salesforce Einstein Search
Shopify Search & Discovery
Klevu
Nosto
Why Innovadel
We Understand the Catalogue, the Platform, and the Customer Journey
Commerce Platform Depth
We know how search tools connect to Salesforce Commerce Cloud, Shopify Plus, and Adobe Commerce in production.
Merchandising and CX Together
We configure the search for both sides: customers get relevant results, merchandisers get control.
Analytics From Day One
We set up search analytics as part of every implementation, not as an afterthought.
Engagement Models
Engagement Models
Assess - Search Audit
We review your current search setup, find what is broken, and give you a clear picture of what to fix first. Best for: Teams unsure why search or product discovery is underperforming.
Build - Search Implementation
Full implementation of a new search or discovery tool. Best for: Businesses adopting a new search or discovery tool for the first time.
Improve - Search Optimisation Sprint
A focused sprint targeting specific search problems. Best for: Teams with an existing search tool that is not performing well.
Sustain - Monthly Discovery Optimisation
Ongoing merchandising rules, synonym updates, new category configuration, and monthly performance review. Best for: Teams needing ongoing search tuning and merchandising support.
FAQs
Common questions
What is AI-powered search in ecommerce?
AI-powered search goes beyond simple keyword matching. It understands what a customer means, not just what they typed. Shoppers who use site search convert at up to 5 times the rate of those who just browse.
Why is my ecommerce search underperforming?
Most problems come from four places: poor product data, no synonym or language rules, weak relevance tuning, and no analytics tracking. A search audit usually surfaces all four within the first session.
What is a zero-result search, and why does it matter?
A zero-result search is when a customer searches for something and gets no products back. Customers who hit a zero-result page abandon at a dramatically higher rate.
Which AI search tools do you implement?
We implement Algolia, Coveo, Klevu, Salesforce Einstein Search, Shopify Search and Discovery, Adobe Commerce search, BigCommerce search, and recommendation tools including Nosto and Dynamic Yield.
How long does AI search implementation take?
A focused implementation typically takes 4 to 8 weeks. A more complex setup covering multiple storefronts and full merchandising rules typically runs 8 to 14 weeks.
Can you improve search on a Shopify Plus store?
Yes. We optimise the native Shopify Search and Discovery app and also implement third-party tools like Algolia or Klevu for Shopify Plus stores.
What is AI brand search monitoring, and why does it matter?
It tracks how your products appear when customers use AI platforms like ChatGPT, Gemini, Perplexity, and Google AI Overviews. Generative AI referral traffic to retail sites grew 393% year-over-year in Q1 2026.
Help Customers Find the Right Products Faster
Talk to Innovadel about AI-powered search and discovery implementation.