Get found
Get found & get chosen
Your customers are asking AI what to buy.
More of your buyers now ask ChatGPT or Perplexity instead of scrolling a results page, and they take the answer they're given. We build the engine that gets you into those answers, then hand it to your team to run.
- How it runs today
- Rankings and paid clicks
- What breaks
- Buyers get an answer and never click
- What you get
- An engine that gets you recommended
The shift
Search is turning into answers.
The old way
Climb the rankings, buy the clicks, count the traffic. For years that was the whole game, and it worked.
The AI-era shift
Now a buyer asks an AI engine what to get, hears one or two names, and moves on. Shopping agents are starting to do the buying itself. So 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.
A growing share of searches end without a single click.
Happening right now
Right now, a buyer is typing one of these questions.
There's no page two here, and no ad slot to buy your way into. The model answers with two or three names and the buyer moves on, so if yours isn't one of them, the conversation was over before you knew it was happening. Most brands have never had a way to find out where they stand. That's the first thing we fix.
What we actually do
The work, made concrete.
AI visibility audit & baseline
We start by asking the engines your customers use, ChatGPT, Perplexity, Gemini, Google's AI Overviews, what they say about you and who they name instead. That read becomes the baseline everything else gets measured against.
Machine-legibility build
Then we make your catalog readable to a machine: complete product data, live price and inventory feeds, and clear signals about what's on your site and what to trust. An engine can't recommend what it can't read.
Answer-shaped content system
Buyers ask real questions, which one, is it worth it, what's the difference. We build the pages that answer them honestly, as a system your team keeps fresh long after we've stepped back.
Off-site citation & PR seeding
When an engine recommends a brand, it leans on a short list of sources it trusts. We work to get you into them, because what the web says about you matters as much as what your site does.
Agent-readiness & paid rebalancing
And we get your store ready for the agents that shop on a buyer's behalf, while shifting paid spend away from the clicks that keep getting more expensive. Less rented traffic, more owned demand.
What reads the number
Pollymetric, our native Shopify app.
The work above only counts if the number moves, so we bring our own instrument to watch it. Pollymetric installs into your store, asks the major AI models a hundred-plus real buyer questions every week, and reports back what they said: how often you're named, who's named ahead of you, how you're described, and which sources the models leaned on. Your team doesn't run anything. It just reads.
What you would see
This is what your read looks like.
The dashboard below is Pollymetric itself, the same cards we read when we run your store: how often each model cites you, your share of voice against named competitors, how buyers hear you described, and the short list of fixes. Everything shown here is an illustrative sample for a made-up brand, not a client result. Yours gets measured on your own store.
142
89
67
45
Citations by day
Answers scanned 1,248Citation share 42% ▲ +6 ptsWhat to fix first
01Close the ChatGPT gap
Perplexity cites you in 61% of category answers. ChatGPT is at 48%, and it carries most of the volume. The same schema and freshness fixes usually close both.
02Reddit is carrying you
r/SkincareAddiction is the one source that names you today. Byrdie and Wirecutter cite your competitors instead. That is where the next point of share comes from.
03Say what the buyer asks
Answers for "spf without white cast" skip you. Your product pages never use the phrase buyers actually use. Small wording change, measurable move.
Share of voice vs sentiment
Win on sentiment. You lead the category on sentiment at 68% with 22% share of voice. The gap to close is frequency, not perception.
Pollymetric score
▲ +4%This week's scan ran 120 buyer prompts across 4 models, against 12 keywords and 5 competitors.
Illustrative sample. Your real read is measured on your store.
Your AI-visibility read
See whether AI recommends you.
Tell us where to look and we'll run your store through Pollymetric ourselves. What comes back is your read: how often the engines name you, who they're naming instead, and the first few things worth fixing. From there you'll know where you stand, and what to do about it.
What we move
What we watch on discovery.
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
Find out what AI says about you.
That's the first step, and it's a simple one. We ask the engines your customers use and show you exactly what comes back. From there you'll know what to fix, and whether we're the ones to fix it.