Your next customer is asking AI who to buy from.
When a buyer asks ChatGPT, Claude, or Gemini for the best option in your category, the answer names a few businesses and skips the rest. We find every touchpoint that answer is built from, optimize it, and manage it, so more of the prospects already looking for you actually arrive at your door.
Book a call, send a message, or just ask a question. No pitch, no obligation.
Discovery moved, and most businesses did not
A prospect used to find you through a ranked page of links and a map of pins. They compared, they clicked, they decided. That funnel is still there, but a new one now sits in front of it: the buyer asks an AI what to buy and who to trust, reads one synthesized answer, and often stops there.
That answer is not built from your website alone. The model assembles it from your reviews, your directory listings, the articles that mention you, the schema on your pages, and the wider citation footprint that surrounds your name. If those signals are thin or stale, you are absent from the answer no matter how good your product is. Your competitor is not winning because they are better; they are winning because they are legible to the machine and you are not.
Discoverability is the work of becoming legible again: surfacing every touchpoint a prospect can use to find you, fixing the ones that are hurting you, and keeping them current as the models change. Done once, it fades. Managed, it compounds.
Every place a buyer can find you, in one read
Discoverability is not one channel. It is a footprint. We read all of it the way a CFO reads a P&L, so the fixes are ranked by what actually moves prospects, not by what is easiest to do.
Classical search
Where you rank when a buyer types the query, and whether your pages are structured so a search engine can read what you sell, where, and to whom. The layer everyone knows, still the floor everything else stands on.
Answer engines
The AI-generated summary that now sits above the links, and the featured answers that quietly took the click before the AI did. Winning here means being the source the answer is built from, not a result buried below it.
Generative AI chat
What ChatGPT, Claude, and Gemini say when a buyer asks them who to buy from in your category and region. This is decided by your external citation footprint, the part of your presence that lives off your own website, where most owners have never looked.
Reputation and listings
Reviews, directories, maps, and the third-party mentions the models lean on to decide who is real and who is trusted. The signals that turn a name into a recommendation.
A Website Audit reads all four layers and hands back a severity-ranked fix list. Monitor re-reads them every month, so drift gets caught the month it starts.
Surface, optimize, manage
Three moves that turn a scattered, invisible footprint into a managed one that keeps working while you run the business.
1. Surface every touchpoint
We map the full set of places a prospect can discover you and score each one. You leave knowing exactly where you show up, where you are absent, and which gaps are costing you the most, instead of guessing which channel to chase this quarter.
2. Optimize what actually moves prospects
Not every fix is worth making. We sequence the work by what actually pulls prospects toward you, from the schema and pages you control to the citation footprint you influence, so effort lands where it compounds rather than where it is convenient.
3. Manage it as it drifts
The models change, competitors move, and a footprint left alone goes stale. Monitor re-reads your visibility every month and flags the drift, so the work you did in month one is still working in month twelve.
The outcome we are after is simple: more of the prospects already searching for what you sell end up at your door. How far that moves depends on your starting point and your own execution; we measure it against your real numbers rather than promise a figure.
Where we proved discoverability, publicly
Wine is where the AI-search shift hit hardest and earliest. A prospect searching for the best wineries in a county used to get a map; now they get a three-to-five-name answer, and the wineries left off it lose the visit. So we built the discoverability engine there and measured it in the open.
The Wine Country Intelligence Report benchmarks every tracked winery in Santa Barbara and San Luis Obispo counties on exactly this: who shows up in the AI answer and who does not. The finding was stark.
The same engine that produced that benchmark reads discoverability for any business we work with. Wine is the proof, not the limit.
The same read, tuned to how buyers find you
Discoverability is horizontal, but the queries, the touchpoints, and the buyer are not. We tune the engine to your vertical.
Ecommerce & DTC
When a shopper asks AI what to buy in your category, is your brand in the answer, or is paid acquisition backfilling a gap that keeps getting wider? We read your product and brand visibility across search, marketplaces, and AI.
Health & wellness
Prospective clients ask AI who to trust with their health before they ever call. We read whether your practice is the one the answer recommends, and where the trust signals are thin.
Elective medicine
High-consideration, high-value decisions now start with an AI question. We read your visibility and reputation footprint across the surfaces a patient checks before they book.
What owners ask about AI discoverability
AI discoverability is whether your business shows up when a prospect asks an AI tool who to buy from. When someone asks ChatGPT, Claude, or Gemini for the best option in your category and region, the model names a short list. AI discoverability is the work of getting your business onto that list: finding every touchpoint the answer is built from, from classical search and reviews to your external citation footprint, then optimizing and managing it so the models cite you.
SEO optimizes for a ranked page of blue links a person scrolls. AI discoverability optimizes for a single synthesized answer a model hands back, where there is no page two. The signals overlap but they are not the same: the model builds its answer from your external citation footprint, not just your own pages, so the lever that moves AI visibility usually lives off your website. We read both layers and the classical-search layer underneath them.
Owner-operated businesses under $50MM in the four verticals we work: ecommerce and DTC brands, wineries, health and wellness practices, and elective medicine practices. We proved the approach first in wine, where the shift hit hardest, and the same engine reads discoverability for the other three. If buyers in your category are starting to ask AI who to trust, the work applies to you.
We built the measurement in wine and published it. The Wine Country Intelligence Report benchmarks every tracked winery in Santa Barbara and San Luis Obispo counties on AI visibility, and it found that only 86 of 175 Santa Barbara County wineries were AI-visible last quarter. That same benchmark is how we read where your business stands: which surfaces the AI answer is built from, where you show up, and where you are absent. Then we name the fixes and re-check your visibility every month.
Find out where you show up when a buyer asks AI.
One conversation. A straight read on where you stand and what moves it. No pitch, no obligation.