You don't need to build the capability.

White-label the AI recommendation work. You own the client and the relationship. You set your markup. Therese does the technical work behind the scenes and never appears to your client. They get the one deliverable most agencies can't produce yet: proof, with a number, that AI recommends them.

This is not a freelancer taking AI gigs between other jobs. AI recommendation is the only thing TaG Makes does, backed by the ARO™ Index dataset. So when your client asks how you know it works, you have a real answer instead of a shrug.

Running your own client dashboard already? API access is on the roadmap, so ARO Scores feed straight into the tools you use now. No second platform to log into. Ask where it stands.

AGENCY MODEL OVERVIEW
MODEL White-Label
YOUR ROLE Client Owner
THEIR ROLE Technical Delivery
WHAT CLIENT GETS Proof. With a number.
EXCLUSIVITY One per niche per market
HOW IT WORKS

Four things that make this clean.

01

You own the relationship

Your brand, your client, your pricing. Therese never appears to the client. The deliverables are yours to present.

02

One client per niche per market

Therese does not take competing businesses in the same category. When you bring a client, that category is yours in that market.

03

AI recommendation is all she does

Not one service in a menu of ten. One focus. That depth is what your client gets.

04

Proof comes standard

Every engagement includes before-and-after ARO Score documentation. Your client can see the number move. That's the deliverable most agencies can't produce.

ROADMAP

API access is in development. Once live, ARO Scores will feed directly into agency dashboards via a simple endpoint: aroindex.com/api/score?domain=.... No second platform to log into for clients you're already tracking. Ask about timing.

Get agency access.

Book a call to talk through your client mix, your market, and whether the white-label model is a fit.