AI + affiliates
Let AI do the legwork. Keep the judgment human.
Research, pitch drafts and reply sorting are good work for a model. Deciding who represents your product, and what they get paid, isn't.
TL;DR
- 01
AI is good at the legwork of an affiliate program: researching publishers, drafting pitches, sorting replies, checking conversion data.
- 02
Choosing who represents your product, and what they earn, still needs a person.
- 03
Finding B2B publishers whose audience is your buyer is still the hard part, with or without a model.
- 04
Uppercut recruits publishers for B2B SaaS affiliate programs, then tracks and pays them. The software is free because recruiting is the product.
Where AI helps today
Publisher research, pitch drafts, reply sorting and checks on conversion data. The work is repetitive, it matters, and it's expensive to do badly by hand.
Where people still decide
Commission design, which buyers you're going after, and which partners get in. A model can suggest a shortlist. It can't tell you who you want speaking for your product.
How Uppercut uses it
We use models to read your site, find publishers whose audience matches your buyer, and draft the first pitch. A person reads every affiliate before they're listed, and you approve who joins and what converted. If you want an agent on your side too, Merchant MCP lets Claude or Cursor manage campaigns and review sales.
Set the deal. We'll go get the affiliates.
The software is free and the network is open to you for 30 days. When you want us pitching publishers for you, move to Scale.