A managed marketing engine, per client
Every Kesey client gets a dedicated Growth Center: their own private instance that measures the AI answers their buyers actually read, plans and gates every piece of content, runs the email programs, and keeps weekly history of all of it. You read one dashboard. We operate everything behind it.
It is not software you learn. It is an engagement you can see.
The tour
These are live captures from the demo instance. The clinic is fictional; the machinery is exactly what your instance runs.
Every week we ask ChatGPT, Perplexity, Gemini, and Claude the questions your buyers actually ask, then score who got named and who got the link. Share of voice against your named competitors, the topics you are winning, the topics you are losing, and what to publish next. Joined to your site data below, it closes a loop the point tools never do: recommended, visited, became revenue. This piece also runs standalone; see the Recommendation Engine tier below.
Visits, inquiries, AI visibility, and what is waiting on whom, each number naming the date it was pulled. No logins into five tools, no monthly PDF. The person who opens it sees their own to-do pile first.
Briefs move from asked to written to checked to live on a board both sides read, in plain words. Drafts are written with your voice pack and your facts file, and a compliance gate checks every draft before a human ever could have missed it. You approve; nothing publishes itself.
Weekly sessions with honest comparisons (a part week is never judged against a full one), channels corrected for how ad platforms mislabel themselves, and AI referral traffic pinned to its own row so the channel the engagement is about never disappears under the paid noise.
The same channel names run through the site, the CRM, and this board, so attribution means one thing everywhere. Recovered consults, pipeline by source, and what the emails actually produced, aggregated only; no person-level data ever reaches the dashboard.
In regulated verticals, generation is blocked until you approve the rulesets that govern it, every draft is scanned against them, and approvals bind to the exact text approved. The machine cannot publish what nobody signed. Built for healthcare; the same engine covers RESPA, housing, and finance.
How it runs
Your instance stands up in week one: collectors wired to your analytics, search, and CRM, your competitors named, your brand voice and canonical facts loaded. History starts accruing immediately.
We run the engine: briefs researched and dispatched, drafts written and gated, email programs built and revised, every change request worked. You review and approve from your phone.
Weekly collection commits the numbers, the Monday digest reports them, and goals are judged against real pace. What worked is visible; what did not is visible sooner.
Ownership
A fair question every serious buyer asks: what happens if we part ways?
Fit
Engagements are limited by design; this is an operated service, not a software seat. If the fit is unclear, the AI Visibility Audit is the inexpensive way to find out with your own numbers.
Engagement
Every tier runs on the same dedicated instance. Upgrading turns capabilities on; your accumulated history is already there. Nobody migrates.
Foundation and Growth carry a one-time setup, $4,000 to $6,000 by vertical (brand shells captured from your live site, voice pack, canonical facts, compliance rulesets, and the topic architecture your measurement runs on), waived on a six-month initial term. Month to month after. The Recommendation Engine has no setup fee at all.
The demo above is a fictional clinic. The audit runs the same machinery against your market and your competitors.