A learning machine
that earns its budget
Marketing isn't a content factory. It's a learning loop. Every campaign starts with a hypothesis. Every result updates a belief. Every channel earns its budget — or loses it.
Morgan · AI CMO
Chief Marketing Officer
€8–15k
Fractional CMO, per month
Available 2 days/week. No hands-on execution. Doesn't scale.
€3–8k
Marketing agency, per month
Charges for time, not results. Rotates account managers. Hates accountability.
€99/mo
AI Marketing Office
Always on. Owns the funnel. Commits to ROAS. Runs on your budget, not billable hours.
The Learning Circle
Not a campaign calendar. A closed loop where every result updates a belief and every belief drives the next experiment.
"Publishing 3× a week on this topic will grow impressions 20% in 8 weeks"
Creative brief → visual direction, copy angle, target audience, success metric
Visuals generated, copy written, posts prepared — all on-brand, no briefing meetings
Post or schedule. Hypothesis recorded in the experiment ledger.
Real engagement and conversion data pulled at the agreed cadence from GA4 + Search Console
Ledger updated. Brand memory refined. Budget reallocated toward what is earning it.
Never declare success based on aesthetics. Only data counts.
The funnel is the boss
Every sub-office exists to move one handoff. Morgan watches every transition, spots drop-offs, and redirects resources toward what's stuck.
Experiments run
Tracked in ledger
Budget governance
Monthly channel verdicts
ROAS on paid spend
Target-committed
One CMO. Six sub-offices.
Start with the Marketing Office alone. Add sub-offices as your needs grow. Morgan coordinates all of them — writes missions, reviews output, reallocates budget.
SEO Office
Awareness → Interest
Keyword clusters, content briefs, GSC + Ahrefs analysis, ranking cadence.
Content Studio
Interest → Consideration
Blog posts, landing pages, case studies — on-brief, on-brand, on-schedule.
Email Marketing
Consideration → Revenue
Nurture sequences, A/B subject lines, list health, re-engagement flows.
Social Media
Awareness
Platform-specific posting, community monitoring, brand sentiment.
PPC Advertising
Awareness + Revenue
Meta Ads, Google Ads, budget allocation, creative testing, ROAS governance.
Data Analytics
All stages
GA4 + product DB funnel stitching, UTM attribution, drop-off analysis.
Each sub-office receives structured missions — hypothesis, KPIs, timeline, brand context — not open-ended prompts.
Brand discovery before any work
Morgan won't produce a single piece of content for a brand it doesn't know. Before anything else, it runs a structured brand discovery interview — product, ICP, pain, aha moment, voice, visual identity, quarterly OKR, active channels.
The answers are saved to brand/brand-memory.md and
read before every session. It's not context you paste every time — it's memory that compounds.
Connects to your real data
BYOK — bring your own API keys. Zero AI cost markup on paid plans.
Heading toward outcome pricing
Gaming UA agencies charge a % of managed ad spend plus a performance bonus when they beat ROAS targets. That's where we're going. Give us the budget. We commit to the funnel. You pay for results.
Today
Flat subscription per office. €99/mo. BYOK. Full team included.
Next
Per-office pricing based on experiments run and channels managed.
End state
Outcome billing. % of pipeline influenced + ROAS performance bonus.
Common Questions
What makes this different from just using an AI to write content?
An AI writing content is an output machine. The AI Marketing Office is a learning machine. Every piece of content starts with a hypothesis about what it's supposed to do for the funnel. Real data comes back in from GA4, Search Console, and your ad platforms. The office evaluates whether the hypothesis held, updates its beliefs, and decides what to do differently next time. Content that doesn't contribute to funnel performance gets revised or cut.
How does the Marketing Office coordinate with other offices?
The CMO character designs structured missions for sub-offices — SEO, content, email, social, paid — with specific hypotheses, KPIs, and deadlines. Missions are written in a way that gives specialized agents enough context to execute without drifting. Results flow back to the CMO, who evaluates them and updates the next mission. It's the same pattern a real CMO uses with a real team.
What does "channels earn their budget" mean in practice?
The office tracks each channel's contribution to your funnel OKRs over a defined period — typically 30-day windows. Channels that show funnel contribution (sign-ups from email, trial starts from SEO traffic, pipeline from paid) earn continued or increased resources. Channels that don't get revised strategies, new experiments, or resource reallocation. The discipline that a real CFO applies to a marketing budget.
What data sources does the Marketing Office connect to?
Google Analytics 4 (funnel events, conversion goals), Google Search Console (SEO reality — impressions, clicks, position), Meta Ads (Facebook/Instagram campaign performance, ROAS), Google Ads (search and display campaign data), email platform metrics (Mailchimp, Klaviyo, ActiveCampaign), your product PostgreSQL database (sign-ups, purchases, UTM attribution), and CRM data (HubSpot, Salesforce) for pipeline quality signals.
How long until marketing starts working?
Paid channels can show signal in days. Email shows signal in 48-72 hours. Social organic takes 1-2 weeks for engagement patterns. SEO is honest: 6-12 weeks minimum before meaningful click growth, though impressions and ranking movement show earlier. The office is designed to understand these different feedback lags and set expectations accordingly — not declare victory before the data arrives.
Stop briefing. Start shipping.
Morgan runs brand discovery, designs experiments, produces content, posts to channels, reviews the funnel, and generates monthly ROI reports. All of it. Without a briefing meeting.
Free to start · No credit card required · BYOK or use platform credits