Get found
Demand & discovery
Every surface a buyer finds you on, run as one engine.
Your customers look for you in more places than ever: search, social, and now the answer engines they ask what to buy. We run the whole surface as one team, held to the number your P&L actually feels, and we prove which channels really drive growth by testing them, not by trusting the platform's scorecard.
- How it runs today
- Separate retainers for search, social, and ads
- What breaks
- Each channel optimizes alone while CAC keeps rising
- What you get
- One engine across every surface, on one number
The shift
The discovery map got redrawn, twice at once.
The old way
Discovery used to be three things you bought separately: search, social, and ads. Each had its own agency, its own dashboard, and its own cost per customer, and you stitched the picture together yourself.
The AI-era shift
Two things broke that map at the same time. AI fused the old channels into one system that personalizes from the first touch, so what used to be five retainers now behaves as one engine with one CAC. And a new surface appeared, where a buyer asks an answer engine what to get and takes the name it gives, before a single click. Running discovery as separate channels is now the leak. Running it as one AI-native engine is the work, and the traditional channels get run better inside it, not retreated from.
Five channel retainers now behave as one engine, with one number to move.
The stakes
The shortlist gets settled in an answer you are not in.
Run the old map and you pay more each quarter for the same rented clicks, while a buyer asks an answer engine what to get and takes the name it gives. And these answers do not choose the way a results page did. In the published research, most AI citations, on the order of 69 to 92 percent, point to earned, third-party media rather than the pages a brand controls (Chen et al., 2025). Being named in the answer is a different game from ranking, and it is the newest part of the map most agencies have not touched.
“The question has changed. It’s no longer where you rank. It’s whether the machines your customers ask actually know you, trust you, and say your name.”
The full evidence, and how the answer engines actually choose, is laid out in what an AI-native growth agency is. The answer engines are the wedge that proves the engine is AI-native. They are one third of the map, not the whole of it.
What we actually run
One engine, in three families.
One team runs the whole surface as a single system, held to the number your P&L actually feels, and proves which channels really drive growth by testing them, not by trusting the platform's scorecard. AI visibility is the door-opener; the engine across every surface is the work.
Family 01 · The wedge
The answer-engine engine
The fastest-growing discovery surface, and the one most of the market has not touched. It is also where the whole engine proves it is AI-native.
See the full answer-engine practice- 01
An AI visibility read and baseline: we ask the engines your customers use, ChatGPT, Perplexity, Gemini, and Google's AI Overviews, what they say about you and who they name instead.
- 02
Machine legibility: complete product data, live price and inventory, and clear signals about what to trust, so an engine can read and recommend you.
- 03
Answer-shaped content: the pages that honestly answer the questions buyers actually ask, built as a system your team keeps fresh.
- 04
Off-site citation and PR seeding: getting you into the earned, third-party sources the engines lean on when they decide who to name.
Family 02 · Run better, not retreated from
The paid system
The platforms automated targeting and bidding, so paid runs as one budget pointed at what actually brings in new customers, measured by test rather than each platform's self-reported credit.
- 01
Paid social, paid search, programmatic, and display, planned and bought as one system rather than four separate retainers.
- 02
Budget that moves to what genuinely works, proven by holdout and incrementality tests, not by each platform's self-reported credit.
- 03
Creative-and-audience loops read weekly, with each platform's automation pointed squarely at your number.
- 04
One honest scoreboard the P&L can feel, blended CAC and new-customer revenue, with each channel's true contribution measured by test rather than taken from its own dashboard.
Family 03 · From the first touch
Personalized funnels
AI personalizes the path from the first impression, so the funnel is built as one owned system that compounds, not a set of landing pages that restart every month.
- 01
Top-of-funnel journeys personalized from the first touch, not just the last click.
- 02
Owned capture and lifecycle, so the demand you win keeps working for you instead of being rented again next month.
- 03
A funnel that reads to both the shopper and the machine assembling the shortlist, so the same work does both jobs.
- 04
Measured on the same number as the rest of the engine, so the funnel is accountable to revenue, not clicks.
What we move
What we move across the engine.
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
See the whole map, starting with the answers.
The AI visibility read is the fastest first step, and it costs you an hour. We ask the engines your customers use, show you exactly what comes back and who gets named instead, and from there you see where the rest of the engine has to go.