Earn advocacy
Grow the customer
Your happiest customers are your cheapest acquisition.
A customer who arrives on a friend's word costs you almost nothing and tends to stay. And the same reviews and mentions that bring them in are now what the AI engines read when they decide whether to recommend you. It's one loop. Most brands run it in five disconnected tools with nobody owning it, so we build it as one thing, with one owner and revenue you can trace to it.
- How it runs today
- Loyalty, reviews, and referrals in separate tools
- What breaks
- Nobody owns the loop, and machines now read the signals
- What you get
- One advocacy loop you can trace revenue through
The shift
Machines read your reviews now.
The old way
Advocacy meant loyalty points, refer-a-friend, and a reviews widget, each in its own tool, measured by a survey score nobody quite owned.
The AI-era shift
Now a machine is reading all of it. The AI engines weigh your reviews, your ratings, and what real communities say about you when they decide which brands to recommend, so the word of mouth you've earned decides whether you get discovered at all. And with regulators and fake-review filters tightening, proof that a reviewer actually bought the thing is what holds up.
The customer a friend sends you tends to be worth more, and stays longer.
What we actually do
The work, made concrete.
Advocacy audit & AI baseline
Where your reviews, referrals, and community mentions stand today, and what the AI engines actually say when someone asks about your category. That read becomes the baseline everything else gets measured against.
The advocacy engine
Reviews captured from confirmed buyers the compliant way, a referral and loyalty program sized to what a customer is really worth, and a creator pipeline where you can trace the revenue. All of it in tools you own.
Advocacy feeding discovery
What your customers say becomes structured data the answer engines can read, and it feeds back into product and messaging too. We watch what the engines recommend, so you can see the signals working.
Ownership handoff
One accountable owner on your team, with the dashboards and playbooks to run the loop without us.
Proof
The math that decides it.
The cheapest revenue you have.
A returning customer is revenue you don't pay to acquire twice, and most brands with a loud community are sitting on advocacy that lives everywhere except the places that pay: reviews thin next to the fandom, referrals unasked, none of it structured where the answer engines can read it. Pulling that into one loop with one owner is what moves the returning-customer share. That's the number this work watches.
The first step
We ask the engines your customers use, ChatGPT, Perplexity, Gemini, Google's AI Overviews, about your category, and show you exactly what they say, which signals they weighed, and where your reviews and referrals are leaking. You'll know where you stand before you spend a dollar fixing it.
What we move
What we watch on advocacy.
Benchmarks and targets, not guarantees. We baseline yours first.
How we work
How the engagement runs.
- 01
Diagnose
We baseline your numbers and map the operation end to end, so the work targets a real leak, not a hunch.
- 02
Prioritize
We rank the opportunities by dollars of impact and effort, and agree on what to do first.
- 03
Build
We build the real thing in production (for you, or alongside your team) against a measured baseline.
- 04
Prove
We hold the work against a holdout or benchmark, so the lift is proven, not asserted.
- 05
Hand over
Documentation, dashboards, and an accountable owner on your team, so the work keeps running without us.
Where this connects
Put the loop to work.
The first step is simple. We ask the engines about your category and show you what comes back, then trace where your reviews and referrals leak. From there you'll know what the loop is worth, and whether we're the ones to build it.