A shopper types "something to wear to a beach wedding" into your store's search bar. Your catalog has linen shirts, light trousers and straw hats, all of them perfect. Search returns nothing, because none of those products contain the words "beach" or "wedding".
That's the problem with keyword search. It only finds products when the shopper uses the same words you used in your titles and descriptions. Shoppers don't know your titles. They describe what they want.
AI search fixes this by matching on meaning instead of exact words. This post covers what it changes for a Shopify store and how to add it with the Vecstore Shopify app, without writing code.
The short version:
- Keyword search misses shoppers who describe products instead of naming them.
- AI search for Shopify comes in three types: text to text (search by meaning), text to image (search what product photos show) and image to image (search with a photo).
- With Vecstore, setup is three steps: install the app, pick your databases, turn on search in the theme editor.
- Products, prices and stock sync automatically after that.
Where Shopify Search Falls Short
Default store search compares the words in a query to the words in your products. That breaks in a few predictable ways:
- Different words. The shopper types "couch", you sell "sofas". The shopper types "trainers", your catalog says "sneakers".
- Descriptions instead of names. "Warm jacket for hiking in the rain" doesn't name a product. Keyword search ranks whatever contains "jacket" first.
- Things only the photo shows. "Green floral dress" only works if someone wrote "green" and "floral" in the description. Often nobody did.
- No words at all. A shopper saw a shirt on Instagram and wants something like it. There's nothing to type.
Every one of these ends the same way: a zero-results page or a list of the wrong products, and a shopper who leaves. People who search are usually the ones closest to buying, so that's the worst place to lose them.
If you want the longer background on how the two approaches differ, see keyword vs semantic search.
The Three Types of AI Search for Shopify
AI search isn't one feature. For a store, there are three useful kinds, and they solve different problems.
Text to text: search by meaning
The shopper types a query and gets products whose titles, descriptions, tags and vendors mean the same thing, even with different words. "Comfy shoes for standing all day" finds cushioned work shoes. "Gift for a coffee lover" finds the pour-over kit.
This is the one most stores need first. It's what people usually mean by semantic search.
Text to image: search what photos show
The shopper types a query and gets products whose photos match it. "Navy cotton henley shirt" finds navy henleys even if the description just says "Classic Henley, 100% cotton".
This matters most for fashion, furniture and home goods, where color, pattern and style live in the photo and rarely make it into the text. More on this in text-to-image search.
Image to image: search with a photo
The shopper uploads a photo and gets visually similar products from your catalog. A screenshot from social media, a photo of something in a shop window, a picture of the sofa they already own.
It's the only option when the shopper can't put what they want into words. See visual search for ecommerce for how stores use it.
You can turn on any mix of the three. Most stores start with text to text, then add the image types if they sell visual products.
How to Add AI Search to Shopify With Vecstore
The Vecstore Shopify app handles the catalog sync and the storefront search for you. Here's the full setup.
Step 1: Install the app
Sign up for Vecstore (you get 100 free credits, no card required), then open Integrations in the dashboard, choose Shopify and click Connect store.
Type your store name, the part before .myshopify.com, and click Install app. Shopify asks you to approve the app, then sends you back to the dashboard.
Step 2: Pick your databases
Vecstore keeps your products in databases. You pick which ones the store uses:
- A text database powers search by words (text to text).
- An image database powers search by look (text to image and image to image).
Pick one or both. If you don't have one yet, you can create it right from that screen. As soon as you connect, Vecstore starts importing your products.
From then on, new products and changes to prices and stock in Shopify sync on their own. You can also click Resync store any time from the store's page in the dashboard.
Step 3: Turn on search in your theme
There are two parts, and both are added from the Shopify theme editor. The dashboard has a button for each one that opens the theme editor in the right place.
- Search popup (an app embed). Shows instant results when shoppers open your store's search, plus photo upload if you turned on image to image. Turn on "Vecstore search" and save.
- Results page (an app block). Replaces your search results page with Vecstore results, with brand, product type and stock filters.
Because these are an app embed and an app block, they work with Online Store 2.0 themes without editing theme code. Once both are on, open your store and try a search.
Step 4: Choose your search types
On the store's page in the dashboard, open Search types and turn on the ones you want: text to text, text to image, image to image. You can change this any time.
What It Costs
Each search type you turn on uses 1 credit per search. If you turn on text to text and text to image, a typed search uses 2 credits. Image to image only runs when a shopper uploads a photo.
You start with 100 free credits. After that, see pricing for plans.
Tips for Better Results
Write real descriptions. AI search can match meaning, but it can only match what's there. A product with a title and nothing else gives it little to work with. A sentence or two about material, fit and use goes a long way.
Use good product photos. For text to image and image to image, the photo is the product. A clean main image of the product itself works better than a lifestyle shot where the product takes up a corner of the frame.
Keep stock up to date. Stock syncs automatically, and the results page has an in-stock filter. Shoppers trust search more when it doesn't keep showing things they can't buy.
Look at what people search. Turn on query logging in your database settings and searches show up under Analytics in the dashboard. It's the most direct view you'll get of what shoppers want and how they describe it, and it's useful for naming and merchandising too.
Want to Build It Yourself?
The app is the fastest route, but if you have a headless storefront or want full control over the UI, you can build the same thing on the API. Our image search for Shopify tutorial walks through syncing the catalog, building the search backend and adding a widget in code.
Wrapping Up
Shoppers describe what they want. Keyword search makes them guess your product titles instead. AI search closes that gap: by meaning, by what products look like, or with a photo.
With the Vecstore Shopify app, it's three steps and no code. Sign up and connect your store.
