The questions buyers ask, answered honestly.

Get Found ($299/mo) makes you findable on Google and AI tools — custom website, ten new pages a month, Google Maps presence, monthly visibility report. Get Recommended ($499/mo) gets your name actually cited inside ChatGPT and Perplexity responses — thirty articles a month, comparison-keyword ownership, citation tracking. Close More, Work Less ($799/mo) layers on the automated sales system — sixty articles, lead capture, CRM, follow-up sequences, bi-weekly close-rate coaching. All three include the custom website.

There is no catch. The price exists because we replace four vendors — your website builder, your hosting, your SEO retainer, and your content agency — with one operator running one stack. The savings is in the consolidation, not in cutting corners. The work itself is what would cost thirty-five thousand dollars a year if you bought each piece separately. We just do not sell it that way.

Because the work is more. Sixty articles a month instead of thirty. Automated lead capture and a full CRM built into your stack. Follow-up sequences that send themselves. Bi-weekly calls with the operator. A dedicated account manager. The tier delivers more, faster, and replaces additional vendors (your CRM, your follow-up tool, your sales coach). If it brings one extra five-thousand-dollar customer per month, it has paid for itself six times over.

Because AI search visibility compounds. The program needs runway to show measurable lift before the first renewal. Without the prepay, we end up cancelling clients in month four — exactly the month before they would have seen the curve start to bend. The prepay is the math of the work, not a sales tactic. Cancel after the prepaid period if you want; you keep everything.

Anytime. Upgrade adds the new services starting the next billing month. Downgrade keeps everything we have shipped — your website, every article, every entity surface — and just stops the future cadence. The website is yours regardless of what tier you are on, or whether you stay at all.

AI drafts, an editor finishes, you approve. The AI handles research and first draft. A human subject editor handles voice, accuracy, and the schema decisions that determine whether the page ranks. You see every page before it ships. Pure-AI content does not rank in 2026. Pure-human content does not scale to thirty pages a month. The program is built around the seam where both produce more than either could alone.

Each month begins with a keyword set — built from your category, your three named competitors, and the long-tail patterns that AI search platforms reward. You approve the set before the month begins. We never publish on a topic you have not signed off on.

By month three, on average. The work to get there is technical (schema, llms.txt, answer-engine markup), structural (the pages have to exist and rank), and entity-based (your brand has to be a recognized entity to the model). Programs that promise week-two results are measuring vanity numbers. The metrics that matter lag a quarter — and that is true for every brand in every category.

ChatGPT, Claude, Perplexity, Google Gemini, and Google AI Overviews. We measure citation rate on the same hundred-and-twenty-prompt set every month across the five platforms, so progress is visible quarter over quarter against three named competitors.

Traditional SEO reads the list of blue links. We read the answer. Position one on Google still matters and we work for it — but forty percent of high-intent queries now resolve inside an AI answer before the SERP ever loads. The brands cited in those answers win the call. Most agencies cannot see this layer because their tools were built before generative search existed.

Because the program runs on a single operator — Luke LaFave — who personally reviews every audit, every pillar page, and every entity filing before it ships. Four brands a month at thirty pages each is one hundred and twenty pages of editorial review, plus the audits, plus the AI search work. The cap is the math of doing the work properly, not a scarcity tactic.

Luke runs the studio. A small bench of subject editors and schema specialists join engagements as the scope requires. There is no permanent team because there is no permanent team — only the people best suited to the work in front of us. When you sign on, you get the person whose name is on the door, not an account manager reporting to a strategist reporting to the person whose name is on the door.

Wisconsin, on North American hours. The studio is remote-first; meetings happen on video. The work is the same regardless of geography — the AI surface does not care where the operator sits.