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AI CMO · Fractional growth ownership

One senior growth owner who decides, ships and measures.

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

You do not need more activity. You need someone to decide what stops.

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.

01

Every vendor optimizes its own lane

SEO wants content, paid wants budget and automation wants another workflow. Nobody owns the total trade-off.

02

The founder remains the project manager

Priorities, briefs, approvals and performance interpretation still return to the person who hired the team.

03

Work ships without a decision loop

Campaigns and assets accumulate, but there is no explicit continue, fix, stop or scale rhythm.

Concrete scope

What you receive—not just what we do.

The service combines growth decisions with hands-on implementation. Exact channels change; the operating artifacts and accountability do not.

Commercial baseline

Acquisition, activation, conversion, retention and pipeline definitions with known data limits.

Priority and experiment queue

A visible list of hypotheses ranked by evidence, cost, speed to signal and business value.

Hands-on campaign delivery

Landing pages, campaigns, content and lifecycle work selected against the priority queue.

Agent and automation workflows

Research, monitoring, transformation and repeated QA built around approved tools and accounts.

Weekly shipping log

Visible state changes, tests, stopped work, decisions and unresolved dependencies.

Monthly commercial readout

A decision-focused review of signal, cost, quality, pipeline and what changes next.

Delivery process

From uncertainty to a documented decision.

The operator owns prioritization and approval. Agents expand capacity for research, production and repeated checks without becoming the decision-maker.

Baseline

Align metrics, positioning, channel evidence, constraints and access.

Prioritize

Choose the smallest set of fast-signal and compounding bets the evidence supports.

Ship and learn

Build campaigns, pages and workflows; document signal and stop weak work early.

Compound or hand off

Scale validated motions, improve operations and leave approved assets in client-owned systems.

Light 3D illustration of a chess queen connected to marketing and analytics signals Operating model illustration

Accountability over headcount

One commercial context. Specialized agent capacity. A human owns the decision.

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.

Illustration shown. Channel performance depends on product, market, traffic, budget, creative, sales execution and external platforms. We commit to the operating cadence and evidence—not a guaranteed revenue result.
Inspect the Work page

Ways to engage

Start at the level your evidence supports.

Published entry pricing lets founders compare the model before a call. Scope expands only when the evidence and operating need justify it.

Lowest-risk start

80/20 Sprint Map

Establish the commercial baseline and the first 30-day decision and shipping plan.

$1,500 one-timeCredited toward month one if we continue.
  • Funnel and metric baseline
  • Channel and constraint scan
  • 30-day priority map
  • One working workflow or artifact
Start with the Sprint Map
Expanded operation

AI CMO Scale

Operate multiple validated motions with deeper lifecycle, paid and analytics requirements.

From $6,000/monthScope depends on channels and operating complexity.
  • Everything in Core
  • Parallel channel operations
  • Activation and lifecycle work
  • Deeper forecasting and automation
Discuss Scale

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 difference is operational, not cosmetic.

The alternative is not an imaginary five-person team. It is the real coordination cost of fragmented context, decision rights and execution ownership.

Fragmented vendor model

  • Multiple briefs and status calls
  • Each partner sees only one channel
  • Founder resolves trade-offs and handoffs
  • Assets live across vendor-controlled systems

FunnelLeaders AI CMO model

  • One commercial context and decision owner
  • Channels prioritized against the same evidence
  • Weekly visible decisions and shipped work
  • Approved assets and workflows remain with the client

Fit before pitch

A strong fit—and the cases where it is not.

Clear qualification protects your budget and our ability to be accountable. We would rather disqualify the engagement than sell the wrong scope.

Strong fit

  • You have a real offer, first customers and enough signal to prioritize growth work
  • The founder needs an accountable operator, not strategy slides
  • You can provide access, product context and timely decisions

Probably not yet

  • You are pre-revenue and still discovering the core problem
  • You need a large specialist department or enterprise media operation immediately
  • You want guaranteed CAC, MRR or channel results

Straight answers

Questions buyers ask before they commit.

How is this different from a fractional CMO?

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.

What actually ships every week?

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.

Does AI make the marketing decisions?

No. Agents support research, production, monitoring and repeated checks. The senior operator sets priorities, resolves contradictions and approves external-facing work.

Are we locked into a long contract?

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.

What costs are separate?

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.

Replace fragmented growth activity with one accountable operating owner.

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 fit

Published entry pricing. Client-owned assets. No guaranteed commercial outcome.

Review AI CMO fit