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Outfit Lens

Snap a look, shop it instantly

Category
Commerce
Primary Subcategory
Pending
View in the ChatGPT registry
Integration details

Description

Turn fashion inspiration into products you can actually buy. Snap or upload a photo of any outfit — or just type what you're after ('blue denim jacket', 'leather handbag') — and Outfit Lens finds real products from online retailers: similar items that match what you saw, plus Style With picks (tops, shoes, bags, accessories) that complete the look. Compare prices at a glance and jump straight to the retailer to buy. Perfect for shopping a street style you spotted, a screenshot you saved, or a look you can't stop thinking about.

Integration type
Plugin
Verification status
Not applicable
Platform
ChatGPT
Category
Commerce

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-06-23
Tool count
0
Geography
US

ChatGPT Plugin Discovery Score

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ChatGPT can surface a Plugin when it matches a user's request.Your Plugin Discovery Score measures how often yours appears.

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What discovery looks like

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 Outfit Lens has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
Recommended guideThe Complete Guide to ChatGPT Plugin DiscoverabilityFollow the practical steps agents use to find, shortlist, and choose your Plugin.Read guide
Tools

0 tools agents can invoke

No tools are exposed by this ChatGPT Plugin in the latest snapshot.

Outfit Lens FAQ
How do I improve a ChatGPT Plugin's 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.