ChatGPT Plugin

Perfume Picks

Fragrance dupes and picks

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Perfume Picks looks up about 13,000 fragrances with note pyramids, accords, concentration, community longevity, sillage and compliment scores, and list price. Ask what smells like a designer scent for less and get curated dupes with a match percentage and the price difference. Compare two fragrances side by side, get picks from the notes you like with a budget and an occasion, or ask what to wear tonight. Wear scores are community ratings, and list prices are the brand's MSRP. Perfume Picks is read-only: it doesn't sell anything or see anyone's personal wardrobe.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: No account required
First tracked: 2026-10-13
Tool count: 8
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Your score is coming

ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Perfume Picks has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

8 tools agents can invoke

Side-by-side comparison: note pyramids, shared and distinct accords, longevity/sillage/compliment scores, concentration, and price difference.
compare_fragrances
Curated dupes for a fragrance: cheaper scents documented to smell like the original, with match percentage and price comparison. Use for 'what smells like X but costs less' questions.
find_dupes
Fragrances most similar to a given one, from Perfume Picks' precomputed similarity ranking over notes and accords.
find_similar
Detailed record for one fragrance: full note pyramid (top/heart/base), accords, concentration, community longevity/sillage/compliment scores, and MSRP. Accepts a Perfume Picks slug or a name like 'Bleu de Chanel'.
get_fragrance
Personalized fragrance picks from note/accord preferences (e.g. 'vanilla', 'oud', 'citrus'), a budget in USD, an occasion ('office', 'date night', 'gift', 'signature scent'), and gender presentation.
get_recommendations
Full-text search across 13,000+ fragrances in the Perfume Picks database. Filter by brand, fragrance family, gender, and MSRP (USD). Returns note pyramids, accords, and community wear scores with source attribution.
search_fragrances
Fragrances Perfume Picks users are adding to their wardrobes most over the last 30 days (falls back to catalog popularity when live activity data is unavailable). The method used is labeled in the response.
trending_fragrances
A fragrance suggestion for right now, based on mood, occasion (e.g. 'date', 'office tomorrow', 'night out', 'cozy evening in'), and season — scored with Perfume Picks' community compliment, office-safety, and versatility data.
what_to_wear_tonight

FAQs

Perfume Picks ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Perfume Picks's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.