Increasing
saleswith AI Autocomplete
Today
- Type a brand
- 655K results
- Type a brand
- Pick one of 10 guesses
- Compare 40 listings
- Buy
with AI Autocomplete
- More powerful search
- 3 pairs in their size
- More powerful search
- Targeted results
- Buy
Connected to your listings
Better search = more of your sellers' listings sold.
Typing “levis jeans” into Depop's own search box drops ten more searches out of it: “levis 501 jeans”, “vintage levis jeans”, “levis baggy dad jeans”. Every one of them is another search to run, and the words themselves returned 655K results. The questions on the right run over forty real Levi's listings captured from that search, and every count beside them says so. On a marketplace where every listing is one seller's own garment in exactly one size, a buyer who can say “levis jeans, baggy, W24 to W26, under $15” finds the pair that actually fits instead of scrolling past thousands that never could, and AI Autocomplete gets them there using the details your sellers already put on every listing: the size, the cut, the price and the brand.
Your Depop listings
AI Autocomplete choices
CutBaggySizeW24 to W26PriceUnder $15Your sellers' listing details become the words 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 the sizes, cuts, conditions and brands your sellers already put on every listing.
02
Guide buyers as they type
AI Autocomplete predicts the details that matter next and shows relevant choices directly inside the search box.
03
Send a richer query to your search
Pass the buyer's text and selected attributes into your existing search, Algolia, or a custom backend.
AI Autocomplete works with your search provider.
It only takes five minutes to set up.
- Your existing 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.