Increasing
conversionswith AI Autocomplete
Today
- Search 2 words
- Scroll 530,000+ results
- Type 2 words
- 36 listings back
- Read each one
- Buy
with AI Autocomplete
- More powerful search
- 3 perfect results
- More powerful search
- Targeted results
- Buy
Connected to your listings
Every answer is something your listing already says.
A shopper who can say “vintage film, in Film Cameras, $50 to $100, with a lens, from Canon” gets there faster than one who typed two words and scrolled. AI Autocomplete gets them there out of what your sellers already publish: the price on the card, the brand in the title, the item specifics your rail already counts, and the kit the seller listed in the middle of a sentence where no filter can reach it.
Your listing
AI Autocomplete choices
Price on the card$50 to $100What the title says is in the boxWith a lensBrand in the item specificsCanonYour listing data becomes the vocabulary buyers use to describe what they want.
How it works
Quick to implement. Works with the search box and the listings you already have.
01
Connect your listings
Give AI Autocomplete access to the fields you already publish: price, brand, item specifics, condition, format and the seller's own title text.
02
Guide shoppers as they type
AI Autocomplete predicts the detail that matters next and shows the choices inside the search box, while the shopper is still typing.
03
Send a richer query to your search
Pass the shopper's text and the selected attributes into your own search API, Algolia, or your existing custom search backend.
AI Autocomplete works with your search provider.
It only takes five minutes to set up.
- Your own search
- Algolia
- Custom search backend
The SDK
What is the AI Autocomplete SDK?
AI Autocomplete supercharges your text box. It is an SDK you drop into the search box or prompt box you already have, and it starts guiding people through what they actually meant.
The goal of AI Autocomplete is to hand a more complete phrase to the next step of your stack (your search provider or agent). It is powered by an intent layer: an action engine that pairs the reasoning of an LLM with detection that lands in 150 to 200 ms, so the guidance appears while someone is still typing rather than after they submit.
Drops into the box you have
No migration and no replatform. Your search, your models and your pipeline stay exactly where they are.
Completes the request, not the phrase
Ordinary autocomplete finishes a word. This resolves the attributes the person never said out loud, inside the box, before submit.
150 to 200 ms detection
Fast enough to keep up with typing, so the help arrives in the moment it is useful rather than a beat too late.