How It Works
No account. No sign-up. No cost, ever. Open the site, tell the AI what you're looking for, and get three perfume recommendations in seconds.
What happens when you search.
When you submit a description, the recommendation system uses filters and scent attributes to find relevant candidates in the library. An AI model then compares information such as notes, description, character, occasions, price, and descriptive keywords before returning a primary match and two alternatives. Recommendations can vary as the library, model, and matching process evolve.
How accurate is it, honestly.
Better than random. Worse than a nose. The AI has never smelled anything. What it knows about fragrances comes from structured data — notes, descriptions, and language used by perfumers and critics. It's good at matching mood, occasion, and character. It struggles when the distinction between two fragrances is subtle and sensory: a specific drydown, a texture, the way a note shifts on skin over hours.
The match score is a confidence estimate, not a guarantee of liking. A 91% match means the AI is highly confident the fragrance fits your description. It does not mean you'll love it — fragrance is too personal for that. Treat the result as a starting point: a name worth seeking out at a counter, not a verdict to buy blind.
The library — what's in it and why it matters.
Every recommendation comes from what's in the library. If a fragrance isn't in it, we can't recommend it — no matter how perfect the match might be. Each entry includes notes, concentration, price, seasons, occasions, sillage, longevity, and a set of keywords: descriptive phrases that map natural language to scent character. "Boardroom confident." "Rainy Sunday." "Something that doesn't announce itself." The keywords are what the AI primarily reads. A fragrance with thin keywords will rank lower than it deserves. One with rich keywords will surface when it should. We add new fragrances and improve keyword coverage regularly.
One recommendation. Clear reasoning.
Olfome returns one primary match — the one it's most confident about — and two alternatives for comparison. Each comes with a match score, a plain-language explanation of why it fits your description, the scent's notes, its price, and a direct link to buy it.
Refine until it's right.
If the first result isn't quite what you had in mind, tell it. "More subtle." "Under $80." "Something less well-known." The conversation continues until you've found your scent.
Share your match.
Every result set has a "Share these matches" button that creates a permanent link — send it to a friend and they'll see exactly what the AI picked for you and why. Every perfume page has its own link too. No account needed on either end.
How Olfome is funded.
Olfome is free to use. We may earn revenue through referral links and commercial partnerships with retailers or brands.
When you click "Buy" and make a purchase, we may receive a commission from the retailer. Prices, availability, and link destinations can change, so check the retailer's page before purchasing.
The AI can make mistakes. Fragrance is personal, and a match score is not a guarantee that you will like a scent. Treat each recommendation as a starting point and test a fragrance on your skin when possible.