Every vendor optimizes its own lane
SEO wants content, paid wants budget and automation wants another workflow. Nobody owns the total trade-off.
AI CMO · Fractional growth ownership
AI CMO combines commercial strategy, hands-on execution, experimentation, automation and measurement under one accountable operator—without assembling five disconnected vendors.
Month-to-month operating option. Ad spend and third-party tools remain visible and separate. You keep approved assets, automations and documentation.
The growth ownership gap
Founder-led companies often have a freelancer, agency, content tool and ad account—but no single owner connecting positioning, channel evidence, execution and commercial measurement.
SEO wants content, paid wants budget and automation wants another workflow. Nobody owns the total trade-off.
Priorities, briefs, approvals and performance interpretation still return to the person who hired the team.
Campaigns and assets accumulate, but there is no explicit continue, fix, stop or scale rhythm.
Concrete scope
The service combines growth decisions with hands-on implementation. Exact channels change; the operating artifacts and accountability do not.
Acquisition, activation, conversion, retention and pipeline definitions with known data limits.
A visible list of hypotheses ranked by evidence, cost, speed to signal and business value.
Landing pages, campaigns, content and lifecycle work selected against the priority queue.
Research, monitoring, transformation and repeated QA built around approved tools and accounts.
Visible state changes, tests, stopped work, decisions and unresolved dependencies.
A decision-focused review of signal, cost, quality, pipeline and what changes next.
Delivery process
The operator owns prioritization and approval. Agents expand capacity for research, production and repeated checks without becoming the decision-maker.
Align metrics, positioning, channel evidence, constraints and access.
Choose the smallest set of fast-signal and compounding bets the evidence supports.
Build campaigns, pages and workflows; document signal and stop weak work early.
Scale validated motions, improve operations and leave approved assets in client-owned systems.
Operating model illustration
Accountability over headcount
The model is designed to reduce coordination overhead and keep strategy close to implementation. It does not claim that one person literally replaces every specialist in every business.
Ways to engage
Published entry pricing lets founders compare the model before a call. Scope expands only when the evidence and operating need justify it.
Establish the commercial baseline and the first 30-day decision and shipping plan.
A named senior operator for founder-led SaaS that needs weekly decisions and hands-on shipping.
Operate multiple validated motions with deeper lifecycle, paid and analytics requirements.
Pricing last reviewed July 2026. Ad spend and third-party subscriptions are approved and billed separately; no percentage-of-spend fee is implied.
Why this model
The alternative is not an imaginary five-person team. It is the real coordination cost of fragmented context, decision rights and execution ownership.
Fit before pitch
Clear qualification protects your budget and our ability to be accountable. We would rather disqualify the engagement than sell the wrong scope.
Straight answers
Fractional offers vary. Our distinction is structural: one named operator owns the growth decision and also directs hands-on, AI-assisted implementation through documented workflows. Compare providers on scope, decision rights, access and evidence rather than title.
A week should end in a visible state change: a releasable asset, a valid test, a stopped initiative, a fixed data dependency or a documented finding. The exact output follows the priority queue.
No. Agents support research, production, monitoring and repeated checks. The senior operator sets priorities, resolves contradictions and approves external-facing work.
The published Core model is month-to-month. The exact notice, access, responsibilities and handoff terms are documented in the engagement scope before work begins.
Ad spend, media, paid data and third-party software remain transparent and separate unless explicitly included. We do not use a percentage-of-spend fee by default.
Start with the Sprint Map or review fit for an ongoing AI CMO engagement. If founder-led execution is still the better answer, we will say so.
Review the operating fitPublished entry pricing. Client-owned assets. No guaranteed commercial outcome.