ChatGPT's E-Commerce Ads Are Mostly B2B Infrastructure
Four of the top five advertisers on ChatGPT's e-commerce shelf sell to e-commerce operators, not to shoppers. Mastercard, Oxylabs, Cloudflare, and VistaPrint own the leaderboard, and Quince is the lone DTC brand.
ChatGPT's 'e-commerce and retail' shelf does not belong to retailers. The top five names include a payments network, a web-scraping vendor, a CDN, a printing company, and one DTC brand. The surface looks like a crowded retail aisle, but it behaves like a B2B infrastructure fair with a retail sign taped to the door.
Four of the top five 'e-commerce' advertisers on ChatGPT sell to e-commerce operators, not to shoppers. Quince is the lone direct-to-consumer brand in the leaderboard, and the rest of the shelf is corporate swag, printing, and B2B infrastructure wearing a retail label.
Look at each name. Mastercard sells payment processing to merchants. Oxylabs sells proxy networks and web-scraping data, including to e-commerce teams that need price intelligence. Cloudflare sells CDN and edge services. VistaPrint sells printing, signage, and merch to small businesses. Only Quince is a real retailer competing for the same shelf a DTC founder would want. Three of the top five are buying the queries because their customers, the e-commerce operators, are the ones typing them.
The 97.4% figure is the clearest signal that this shelf is still a test bed. Most advertisers are dipping in with a handful of placements rather than committing, which is exactly why a determined brand could still find uncontested space. The long tail runs deep.
- 181 others63%
- Mastercard7%
- Oxylabs6%
- Quince Business5%
- VistaPrint5%
- Others13%
Three of the fourteen top triggering queries are marketers asking ChatGPT how to get recommended: 'How do I get ChatGPT to recommend my product', 'How does ChatGPT pick which brands to recommend', and 'How can I increase the chances that AI recommends my product?'. The advertisers built to serve those queries, Oxylabs and Cloudflare, hold the second and fifth spots on the leaderboard. The shelf is, in effect, sold to the people trying to game it.
Your competitors on this shelf are not other DTC brands. They are payments, scraping, CDN, and swag vendors. The viewer is almost always an e-commerce operator or marketer, not a shopper, which means the offer that converts here reads like a B2B pitch, not a product page.
Three of the four largest topic clusters are not consumer retail at all. 'Photo, printing, books, creating', 'swag', and 'branded merchandise' together hold more placements than any plausible reading of 'retail' would predict.
What this means if you actually sell to shoppers
The shelf is cheap precisely because the buyers are the wrong buyers. A committed DTC brand could plausibly own a defined sub-cluster at spend levels that would be uncompetitive on Google or Meta. The infrastructure vendors in the top five are buying operator queries, not shopper attention, which leaves the shopper-shaped queries genuinely up for grabs.
Until the prompt mix shifts toward genuine purchase intent, plan creative for an operator or marketer viewer, not a buyer. That means offer framing around tooling, integration, and ROI rather than product imagery and price. The person on the other side of the impression is most likely running a Shopify store, not shopping for one, and the creative should sound like it is talking to that person.
The fastest dollar in this niche is probably not a ChatGPT ad buy. It is the structured data, reviews, schema, and third-party citations that get you recommended organically, with paid impressions as a follow-on once the recommendation motion is proven.
We probe ChatGPT with realistic consumer prompts and capture the sponsored ad cards it returns — every creative, the triggering prompt, and the advertiser. Figures reflect our captured sample, not OpenAI's internal data. Explore the live ad library and market intelligence.