Fix search typos and synonyms with AI site search. Agentic AI manages keyword variations automatically. Zero maintenance, better conversions.
by YesPlz.AIJanuary 2026
Let’s start with something we can all relate to. When was the last time you actually typed a search query without a single typo? We all know this happens quite often. Typos happen to the best of us. You typed ‘snekers’ but still found sneakers. You searched for ‘zipup’ and somehow landed on the exact winbreaker you want.
But what happens when someone does the same thing on your eCommerce site? Search typos and keyword variations impact the relevance and quality of search results. And if your search bar returns “0 results” for a simple typo or a synonym, you’ve just handed that customer to your competitor.
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The numbers don’t lie. They paint a clear picture of why this matters:
Search users convert better: Up to 50% higher than average visitors.
Search shows strong buying intent: Search users are 3x more likely to convert than non-search users.
Most eCommerce search still falls short: 70% of eCommerce searches are unable to return relevant results for product-type synonyms.
Translation? The people using your search bar are your hottest leads. They know what they want. They’re ready to buy. And they’re literally telling you what they’re looking for. Losing them over a search typo or a synonym mismatch, you are leaving money on the table.
Every day, shoppers search for the same products using various terms. Sometimes, it’s a typo. Sometimes, it’s a different spelling. And other times, it’s just how they personally and regionally describe what they want in their own language. However, many eCommerce search engines treat each keyword variation as a completely different query.
Below, we list 4 common types of search typos, keyword variations, and some typical examples for each type.
Typos and Misspellings‘Runing shoes’ instead of ‘running shoes’ - miss a keystroke ‘n.’
‘Leather jakcet’ instead of ‘leather jacket’ - switch two characters ‘c’ and ‘k.’
‘crop-top’ vs. ‘croptop’ vs. ‘crop top’
‘tshirt’ vs. ‘t shirt’ vs. ‘t-shirt’
‘sneakers’ (American) vs. ‘trainer’ (British) vs. ‘runner’ (Australian)
‘pumps’ (North West England) vs. daps (South West England)
‘purse’ vs. ‘handbag’ vs. ‘bag’
‘anorak’ vs. ‘windbreaker’ vs. ‘zipup’
What if your eCommerce search engine can understand these misspellings or synonyms as Google does? So, it shows your shoppers exactly what they need. That’s exactly what we’re going to show you in the next section.
YesPlz AI site search can help eCommerce fashion retailers manage all search variations effortlessly. Rather than treating typos and synonyms separately, we use Agentic AI search to manage everything in a unified system.
Think of our Search Synonym Management as the brain of your site search system. Unlike other tools that make you build synonym lists from scratch, YesPlz comes pre-generated with keyword variations that work from day one. Agentic AI search handles the heavy lifting, while you only monitor and tweak as needed.
So, what will you see in the dashboard?
Shoppers don’t all use the exact words to describe what they want. Some say ‘activewear,’ but others call it ‘sportswear.’ Some type ‘backpack,’ but others type ‘back pack.’ Regional differences and typos also play a role. So, the General Synonyms tab contains all these keyword variations and connects them.
This means when someone searches ‘snekers’ or ‘sneakers,’ they still find products tagged as ‘trainers’ or ‘runners.’ The connection works both ways. Regardless of the search term, shoppers always receive all relevant results available in your catalog.
Fashion brands often have stylized names that incorporate dots, spaces, special characters, or unconventional spellings. But shoppers don’t always remember or know the exact formatting. They just remember the sound of the brand name. For this reason, handling search typos in brand names is a must-have functionality for any fashion eCommerce.
In the Brand Synonyms tab, you can find different ways your shoppers search for a brand. When someone searches ‘ariff’ with or without a dot, they see all the products from the A.RIFF brand.
Other similar tools make you start from scratch. You have to add every keyword or common typo you can think of. With YesPlz AI site search, you get a head start with preloaded fashion search variations that work on day one.
But this is just the beginning. Our Agentic AI search system doesn’t stop here. It gets smarter every day by learning from your actual shoppers.
While the pre-loaded library gives you instant results, the AI continuously learns from your shoppers’ language. It, therefore, automatically discovers new search typos and keyword variations specific to your store. This repeated process includes three steps.
Every time a shopper searches on your site, the AI is paying attention and tracks:
What keywords shoppers use: In the Data Analytics dashboard, you can see insights like different keywords, their unique users, and their total search counts.
Which searches lead to which product clicks: You can also explore which keywords lead to clicks on specific products. This is how the AI identifies misspelled words or synonyms you might never think of manually.
Conversion pattern and behavior: Through search keyword analytics, our AI learns what shoppers truly intend to find. So, it dynamically refines results for a smoother and more relevant shopping experience. For example:
Refined search: A shopper typing ‘coat’ typically wants specifics, for example, wool coats, so those appear first. A ‘wide jeans’ query displays barrel jeans upfront, matching popular preferences.
Paired search: The AI recognizes that shoppers looking for ‘blouses’ frequently buy with skirts to create complete outfits. Similarly, a ‘suit’ search prompts the system to highlight ties as complementary items.
Step 2: AI Identifies PatternsYou might wonder: How does the AI discover new variations in action? Consider brand name discovery as an example. Over the course of a week, the system notices:
Shopper A searches ‘ariff’ and clicks on products from the brand ‘A.RIFF.’
Shopper B searches "a riff" and clicks on the same brand’s products.
The AI identifies that all these different searches are leading to the same brands. These must be variations of the same intent. Shoppers are just typing the brand name differently.
With these shopper behavior insights, the AI automatically adds all these discovered variations to the Search Synonym Management dashboard. So the next time you log into your dashboard, you’ll see new two-way mappings have been added: ‘ariff’ - ‘a.riff’ - ‘a riff’ - “A.RIFF.’
All variations are now connected. The system marks them as Two-way so searches work in any direction. And, here’s the payoff. When someone visits your site and types ‘a riff,’ they immediately see all products from the ‘A.RIFF’ brand.
Managing search typos and synonyms doesn’t have to be a manual job. YesPlz AI site search handles it automatically in one place. It helps fashion eCommerce:
Minimize zero search results: Your shoppers can find relevant products even when they make typos or use different terms.
Improve site search conversion: High-volume keywords with low click-through rates are monitored and updated with keyword variations for more relevant results.
Save time: The AI does the heavy lifting for you.
Update search variations daily from real data: The AI continuously learns from your shoppers' actual behavior and discovers new patterns over time.
Want to see how AI handles search typos and synonyms automatically? Schedule a demo and watch it work with your actual product catalog.
Written by YesPlz.AI
We build the next gen visual search & recommendation for online fashion retailers
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