Meet Search Tune Agent: Improve Your Fashion Store's Search

A search bar is one of the richest sources of customer insight. However, most retailers are barely scratching the surface of what it's trying to tell. Take the ‘pajama’ search query. Shoppers search for it in a dozen different ways: ‘pijama,’ ‘pyjamas,’ ‘pj set.’ And if your search can't connect the dots, those shoppers walk away empty-handed. 

That's just one word. Now think about how many search keywords shoppers use to find products in your store daily. For a large catalog, we're talking about thousands of missed sales opportunities every single day, completely under the radar.

How do you ensure each variation lands on the right product, especially when the product info doesn't even contain those keywords? And who is going to keep track of every misspelling and correct it?

Meet Search Tune Agent, customized for exactly this type of task, which can handle it for you. It spots every search keyword variation, and maps each one back to what the shopper originally meant to find.

Table of Contents:

• What is Search Tune Agent?

• Why Does Search Need Tuning?

• How Search Tune Agent Works?

• Example of How Search Tune Agent Works

• What Happens When Search Gets Fixed

What is Search Tune Agent?

Search Tune Agent (STA) is an autonomous AI that continuously monitors your store’s search performance — analyzing every query, detecting issues, and fine-tuning results automatically. Think of it as a 24/7 search expert on your team: one that watches every keyword, fixes every problem, and verifies every improvement without you lifting a finger. 

Why Does Search Need "Tuning" in the First Place?

Most retailers set up the search bar once and forget it. But it isn't a one-time configuration. It's a living system that needs constant attention. Shoppers make spelling mistakes, search in unexpected ways, and look for trends your catalog hasn't caught up with yet. And when results don't match their intent, the click-through rate (CTR) is low, and the bounce rate is high. 

The problem is never really "fixed." It needs to be watched, adjusted, and improved on an ongoing basis. That's expensive work for a human to do. Someone has to monitor search analytics, identify what's underperforming, figure out why, test a fix, and then verify it worked. It's tedious, time-consuming, and most teams don't prioritize it.

Take the keyword ‘duffel.’ A shopper types it, but your product is listed as ‘duffle.’ STA detects the mismatch, maps ‘duffel’ to ‘duffle,’ and makes sure the right products show up. Another example, a shopper is looking for a graphic tee with a horse print (for the Year of the Horse), but no product title mentions the word ‘horse.’ STA identifies the tagging gap and tags the relevant products so they surface for that search. 

Then there’s ‘open shoulder’ — shoppers also call it ‘cold shoulder,’ ‘cut-out shoulder,’ or ‘cut out shoulder.’ How about ‘pj set’ instead of ‘pajama set'? The list goes on and on. All the more reason we need a relentless worker that continuously optimizes the search experience — the Search Tune Agent.

Different problems, different fixes — all applied automatically, without anyone on your team lifting a finger.

How Search Tune Agent Works?

Step 1: STA Spots the Problem

First, STA runs in the background, watching your store's search activity around the clock. It starts by identifying the queries that matter most, specifically one with high search volume but low click-through rates. These are the keywords shoppers use frequently but walk away empty-handed.

Step 2: STA Plays Detective

From there, STA digs into why. Is it a product gap — shoppers searching for something you don't carry? A typo that's returning no results? A synonym or variation your catalog doesn't recognize? STA diagnoses the root cause, not just the symptom.

Step 3: STA Makes the Fix

Based on its diagnosis, STA fine-tunes the search configuration. This search agent fixes typos, maps synonyms, and surfaces the right products for the right queries. Once a fix is applied, it doesn't move on and forget. It tracks performance, monitors click-through rates, and search conversions, to make sure the change actually performs better.

Step 4: You Review

Lastly, you stay in control throughout. Every update STA makes is visible on your dashboard. You can review what changed, why, and what impact it had — without digging through spreadsheets or waiting on a weekly report.

Example: The Ullala Story

Let’s take a real example from one of our clients. Their shoppers searching for the brand ‘Ullala’ frequently mistype it. They drop a letter and search ‘ulala pajama,’ ‘ulala pajam,’ just ‘ulala,’ and so on. These aren't random mistakes. It's a pattern. And it's happening across 118 searches for ‘ulala pajama’ alone in a week, plus dozens more variations.

STA spotted the pattern, diagnosed it as a typo cluster, and suggested adding these variations to the search synonym library. Once applied, the fix worked immediately. CTR jumped from 25% to 61.69%. 

That's one keyword. STA ran 25 improvements in a single week, affecting 630 sessions, with an overall CTR increase of +151.35%. Imagine all search queries can be optimized and the overall improved conversion in a collective way is a significant impact on sales. 

You can see every single one on the dashboard — what was fixed, when, what type of fix it was, and exactly how it moved the needle.

Real Results: What Happens When Search Gets Fixed

The Ulala example is one fix, in one week. Now multiply that across every underperforming query in your store, running continuously for months.

Take W Concept Global and LooxLoo as examples. These two fashion retailers integrated the Search Tune Agent and tracked the results over just two weeks, looking specifically at search queries that were previously underperforming.

W Concept Global saw its CTR improve by 42% and purchase rate jump by 14.5%. LooxLoox saw CTR improve by 70% and purchase rate jump by 49%, again for the search queries.

Conclusion

Search sounds simple. A shopper types a word, and products appear. But what shows up, in what order, and whether it matches what the shopper actually meant — that's where things get complicated. Good site search requires continuous fine-tuning. 

You're already sitting on the search data. Every search your shoppers make is a signal: what they want, what they can't find, where you're losing them. Search Tune Agent reads those signals and acts on them, so you don't have to.