Every company, ranked.
22,010 companies sending people to 15 checkout pages, ordered by visits. Open any row for its own page: where its buyers pay, and who else sends them money.
- 5,6954.9KStripe CheckoutProgramming and Developer Software
- 5,6994.9K-100%Stripe CheckoutRestaurants and Delivery
- 5,7024.9K-100%Stripe CheckoutVideo Games Consoles and Accessories
- 5,7034.9K-100%Stripe Checkout
- 5,7054.9K-100%Stripe CheckoutProgramming and Developer Software
- 5,7064.9K-100%Stripe CheckoutNews and Media
- 5,7084.9KStripe CheckoutMusic
- 5,7104.9KStripe Checkout
- 5,7124.9K-100%Stripe CheckoutFashion and Apparel
- 5,7164.8K-100%Stripe CheckoutProgramming and Developer Software
- 5,7194.8KStripe CheckoutGraphics Multimedia and Web Design
- 5,7224.8K-100%Stripe CheckoutShipping and Logistics
- 5,7234.8KStripe CheckoutAir Travel
- 5,7254.8KStripe Checkout
- 5,7274.8K-100%Stripe CheckoutPrice Comparison
- 5,7364.8K-100%Stripe Checkout
- 5,7394.8K-100%Stripe CheckoutVideo Games Consoles and Accessories
- 5,7404.8KStripe CheckoutWeb Hosting and Domain Names
- 5,7484.8K-100%Stripe CheckoutVideo Games Consoles and Accessories
- 5,7494.8KStripe Checkout
- 5,7534.8KStripe CheckoutGraphics Multimedia and Web Design
- 5,7594.7KStripe CheckoutGolf
Share of visits is for the whole six months. Estimates from third-party traffic data, not revenue — see what this can’t tell you.
Run this for any checkout with your AI agent.
Paste the prompt into your agent. It pulls every site that sends visitors to the checkout, with monthly visits, through Lovely Router, then reads their homepages and ranks what it finds.
Find out who gets paid through checkout.stripe.com. Pull every website that sent visitors to checkout.stripe.com over the last six months, with visits for each month. Merge subdomains into one site and leave out search engines, social networks and payment providers. Read the homepages of the top 50 and tell me which are AI products and what they sell. Give me a table (site, what it does, AI or not, six-month visits, April vs September) and five takeaways about which niches are growing. Use Lovely Router for the data (docs written for agents: https://lovelyrouter.com/llms.txt · MCP server: https://lovelyrouter.com/mcp-server · site-referrals tool: https://lovelyrouter.com/tools/site-referrals).