Where conventional search falls short
- Relies on product names, keywords, and tags
- Struggles with typos, synonyms, and similar expressions
- Merchandisers manage queries and placements by hand
- Shoppers who can't find it simply leave
AI Search
AI that understands what shoppers mean
and finds exactly the right products
Understands the meaning behind each query and factors in real purchase data, then finds the products shoppers intend and turns searches into sales.
After adopting AI Search, revenue from search grew 37% on average
Across commerce customers who ran a pilot, revenue from search grew by up to 70%. Every customer that completed a pilot has gone on to full implementation.
Search is your surest path to revenue
Shoppers who search have the clearest intent to buy, yet conventional search can't carry that intent into its results.
A search engine that learns from data
- Analyzes product names, attributes, images, and behavioral data together
- AI judges semantic relevance and differences in wording
- AI handles the repetitive work, the admin is for key decisions
- Learns which products lead to purchases and turns that into sales
From search relevance to operations, in one engine
Result relevance, query support, operations, and performance measurement all come from one engine.
Intent-based ranking
Rankings built on data that led to purchases
Goes past keyword matching and learns from product names, brands, and real clicks, add-to-carts, and purchases to show the most relevant products first. Rankings get sharper as search logs build up.
Natural language search
Search that understands the whole sentence
When a shopper types "lightweight sneakers for summer," the engine picks out each requirement and searches on them automatically. Add product attribute and review data to make results even more relevant.
Autocomplete and typo correction
Works half-typed or misspelled
Predicts the query as it is being typed and suggests completed queries. When a search includes typos or abbreviations, results come back for the corrected query.
Search admin
Configure queries and check search data
Manage which products appear for each query, exclusive brands, and more directly in the admin. You can also check search data such as search volume, search clicks, and trends by query.
Measurement and improvement
See it in numbers, then improve
We monitor search relevance and response health around the clock and keep updating rankings with incoming data. We find what needs improving, propose changes, and keep improving the service.
A search engine proven by data and operating experience
Built on years of commerce data, our own technology, and validation in live deployments.
COMMERCE DATA
An engine trained on commerce data
- Years of work with home shopping and ecommerce products and search logs
- Can factor price, review, and sales data into search
- Designed around purchase conversion
OWN MODELS
Search technology we built ourselves
- In-house Korean morphology and synonym engines
- Text and image embedding models trained in-house
- Search relevance validated against our own evaluation datasets
LEARNING LOOP
Gets better the more it's used
- Clicks, add-to-carts, and purchases recorded daily for every query
- Rankings retrained again and again on that data
- Results keep growing after go-live
PROVEN CHOICE
An engine chosen after head-to-head comparison
- Chosen after side-by-side comparison with existing search solutions
- Every customer that ran a pilot went on to full implementation
- Deployed across home shopping, ecommerce, and credit card companies
Frequently asked questions
Find answers to common questions before you get started.
Check whether it connects queries and products by meaning, ranks results on real click and purchase data, corrects typos and synonyms, and gives your team an admin to adjust placements directly. The surest test is a pilot on your own product data to see whether revenue from search and click-through rate actually go up. Customers who adopted AI Search from A Plus AI saw revenue from search grow 37% on average.
Even better together
Where one product leaves off, another picks up.
AI Recommendations
When you want to reach shoppers who browse without searching
AI Shopping Agent
When you need a conversational way to recommend products
Commerce GEO
When you want your products to show up in AI search
See it with your own products
Use your real data to see what changes before and after AI Search.