AI Marketing Operations
I build the AI systems marketing teams run on — the visibility audits, the brand rules the AI actually follows, the workflows that let four people produce like twelve. Not campaigns. Infrastructure.
Free for qualified companies: a one-page snapshot, three engines, no pitch attached. The full report — 10 pages, 40 prompts — is the paid step, and only if the snapshot finds something.
Not every mention counts. This is the distinction everything on this site is built on.
Someone types your company name. The engine describes you. Nice, but they already knew you existed. This appearance is worth almost nothing — it's a lookup, not a discovery.
Someone types the problem, the use case, or "best vendors for," with no brand name anywhere. The engine picks who to name. This is the only appearance that grows anything.
Most companies that "show up in ChatGPT" are showing up in the first column and calling it visibility.
This month I audited a certified manufacturer with decades in its category. Named in 16 of 30 answers — and twelve of those sixteen came from prompts that already contained its name. Found on merit: four times in eighteen.
That gap is invisible until someone runs the prompts and writes down what came back. Measuring it is the first product on this site, and the first step is free.
Your buyers' real questions, run across ChatGPT, Gemini and Claude, every answer recorded verbatim — with two competitors scored on the identical set, and a ranked 90-day fix plan.
The free way in: the snapshot — a one-page edition of this report, inside 48 hours. If it finds nothing worth fixing, you'll be told exactly that.
Free AI Visibility snapshot Read the full report page →Receipts — every number below is linked to the run it came from
Growth in marketing-sourced qualified leads in eighteen months at a global B2B manufacturer. Infrastructure first, demand second.
Read the build →Less time to produce content after encoding a full brand style guide into a custom AI skill — while consistency went up, not down.
How the encoding works →Growth in organic traffic for a regional broadcaster: 500 to 50,000 monthly visitors in six months. Structured for extraction, cited off-domain.
Read the build →There's the work as it's still organized: campaigns, calendars, approvals, a style guide in a shared drive.
And there's the work as it actually runs now: buyers asking ChatGPT before they ask Google, teams generating a hundred pieces of content nobody asked for, and brand standards enforced by whoever happens to remember them.
Most teams are still staffed for the first version.
The ones pulling ahead have built systems for the second.
Named in half the answers. Found on merit in four.
From a 30-prompt audit of a B2B manufacturer · read the scored runYour buyers open ChatGPT, Gemini, or Claude before they open Google. Most companies have never checked what those engines say about them — or whether they come up at all.
I ask the engines the questions your buyers actually ask, record what they said, and hand you a ranked list of what to fix.
AI Visibility Report →A style guide only works if someone remembers it at the moment they're writing. That's not a system. That's hope.
I take your voice, terminology, claims rules, and formatting standards and encode them into a custom AI skill your team invokes on every draft. The standards get enforced by the system instead of by memory.
This is the one that cut production time 40%.
Style Guide → Claude Skill →Every marketing team I've run had more good ideas than it could ship. Adding people is slow and expensive. Adding tools without governance produces a hundred pieces of off-brand content very quickly.
I map how your team actually produces work, then build the AI system that removes the constraint. Your team runs it. Not me.
AI Marketing Operations →What a real run looks like
Named in 16 of 30 answers. Reads healthy. Then split the sixteen by how the engine got there: twelve happened only because the prompt already contained the company's name. Found on merit: 22%.
Your own site is not corroboration.
The trust finding · B2B manufacturer auditList hygiene, authentication, segmentation, month over month. Doubled by maintenance, not by a rewrite.
Nearly 25 years in media, broadcast, and digital marketing. Emmy winner, Promax International Silver, national Telly Gold. Google Ads certified in Search, Display, Video, and App.
Employers and engagements across nearly 25 years, named as career facts. None of them endorses this practice, and no number on this site is attributed to any of them — that separation is deliberate.
Free. I run your category through three AI engines and send you one page showing what they said and who they named instead of you.
A 30-minute call. If there's a system worth building, I'll tell you which one and what it costs. If there isn't, I'll tell you that too.
Two to eight weeks depending on scope. You see work weekly, not at the end.
Your team runs it. Documentation, training, and a recording of every session. Enablement, not dependency.
I'll ask ChatGPT, Gemini, and Claude the questions your buyers ask about your category, and send you exactly what came back — including which competitors get named instead of you.
Company, website, how a buyer would describe you, two competitors. Takes about a minute.
I make sure the request is a real business — a quick confirmation by email or phone. It's verification, not a sales call.
One page, inside 48 hours of verification: what the engines said, who they named instead of you, and whether the full report is worth running.
I run a limited number each month, so there may be a short wait. The snapshot carries no pitch — the report sells itself or it doesn't.
Takes about a minute. The more precise the last two answers, the sharper the report.
I'll only use this to run and send your snapshot. No list, no sequence you didn't ask for, and you can tell me to delete it at any time (see the privacy policy). I run a limited number each month, so there may be a short wait.