Depop

What is Depop?

Depop is a company within the E-commerce category. Depop is a global social fashion marketplace where users buy and sell preloved clothing. The platform emphasizes circular fashion, hosting over 49 million items ranging from vintage and streetwear to designer labels and handmade goods.

When was Depop founded and where is it based?

Depop was founded in 2011 and is headquartered in London, UK.

Is Depop part of a parent company?

Depop is part of Etsy.

What is Depop's Brand Authority Index tier?

Depop is rated Leader on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe Depop?

AI narrative accuracy for Depop is Moderate. Significant factual deltas detected. Inconsistent representation across models.

How do AI models position Depop competitively?

AI models classify Depop as a Challenger. AI names competitors first.

How visible is Depop in buyer-intent AI queries?

Depop appeared in 7 of 8 sampled buyer-intent queries (88%). Depop is highly visible for specific 'vintage' and 'y2k' fashion queries but faces stiff competition from Vinted and eBay for broader 'preloved clothes' searches.

What do AI models currently say about Depop?

AI reliably identifies the brand's core mission in circular fashion and its aesthetic association with vintage trends. However, descriptions often lag behind recent corporate changes, specifically surrounding fee updates and its specific relationship with parent company Etsy. Key gap: While AI focuses on the 'social' aspect (likes/follows), the brand's current positioning emphasizes 'circular fashion' and massive scale (49M+ items) over mere social networking.

How many facts about Depop are well-documented vs need fixing vs retrieval-dependent?

Of 6 key facts verified about Depop, 4 are well-documented (likely accurate across AI models), 2 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.

What is Depop's biggest AI narrative vulnerability?

Outdated information regarding fee structures, as Depop recently removed selling fees in some regions (UK), which shifted its business model.

What problems does Depop solve for buyers?

Buyers turn to Depop for Physical Consignment: Selling clothes through traditional physical thrift stores or consignment shops., Direct Social Selling: Organizing local clothing swaps or selling directly to friends via Instagram/Facebook stories., among 2 documented problem areas.

What questions do buyers ask AI about Depop?

Buyers evaluating Depop typically ask AI models about "where to sell vintage clothes online", "best apps for Gen Z fashion", "buy second hand streetwear", and 5 similar queries.

Who are Depop's main competitors?

Depop's main competitors are eBay, Poshmark. According to AI models, these are the brands most frequently named alongside Depop in buyer-intent queries.

What does Depop offer?

Depop's core products are Peer-to-peer fashion marketplace, Depop mobile app, Depop Protection..

How is Depop priced?

Depop uses Marketplace fees (Mixed: Buyer-funded in some regions, seller fees in others).

Who does Depop target?

Depop serves Gen Z, Millennials, Sustainable fashion enthusiasts, Vintage collectors..

What differentiates Depop from competitors?

Depop Combines a social-media-style discovery interface with a circular fashion mission and massive influencer-led inventory.

Brand Authority Index (BAI) tier: Leader (exact score locked for unclaimed brands)

Archetype: Challenger

https://optimly.ai/brand/depop

Last analyzed: May 11, 2026

Verified from Depop website

Founded: 2011

Headquarters: London, United Kingdom

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About this profile

This profile is part of the Optimly Brand Trust Registry — a verified index of 60,000+ brand profiles that AI models read from when answering buyer-intent questions about brands and categories. Optimly identifies which third-party sources AI cites about each brand, prepares structured brand information for those sources, and measures whether AI representation improves.

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