AI Experimentation
Individual habits, no system.
What are people actually doing with AI right now?
Free AI marketing maturity assessment · 3 minutes · no emailHow AI-native is your marketing?
Twelve questions built on the maturity model in The Agentic AI Marketing Leader Playbook. Answer for the team you actually run, not the one in the board deck. Most leaders place themselves one stage higher than they really are.
Stage 1AI Experimentation
Stage 2AI-Assisted Marketing
Stage 3AI Workflow Operations
Stage 4AI-Native Marketing System
// the model
The four stages of AI marketing maturity.
Most teams sit at Stage 1 or 2 and believe they are at 3.
AI-Assisted Marketing
AI drafts. Humans run everything else.
Where, specifically, can AI save real time, not just theoretical time?
AI Workflow Operations
Owned workflows, measured against a baseline.
Which processes can now run consistently without a specific person’s daily attention?
AI-Native Marketing System
A learning system with humans on judgment.
How does marketing keep learning instead of decaying after it’s built?
// questions people ask
AI marketing maturity assessment: FAQ
What is the AI marketing maturity model?
The AI marketing maturity model is a four-stage scale from The Agentic AI Marketing Leader Playbook. Stage 1 is AI Experimentation, Stage 2 is AI-Assisted Marketing, Stage 3 is AI Workflow Operations, and Stage 4 is an AI-Native Marketing System. Each stage describes how a team uses AI, who owns it and how it is measured.
How does this AI marketing maturity assessment work?
The assessment asks twelve questions and takes about three minutes, with each answer scored from 1 to 4 to match the stage it describes. Your average score places your team on one of the four stages. No email is needed, and your answers stay in your browser, so nothing is sent or stored.
What do I get at the end of the AI maturity check?
You get your stage, a score and the question to ask now. You also get your next move, your biggest gap and three workflows to build first. A Stage 1 team, for example, starts with a knowledge base and asset inventory, content quality scoring, and new keyword discovery. You can retake it anytime.
Is the AI marketing maturity assessment based on the book?
Partly: the stage names and descriptions come from the maturity model in The Agentic AI Marketing Leader Playbook. The twelve questions and the scoring cut-offs are this site’s interpretation of those criteria, and the result page says so. For the full method, read the maturity model in the Playbook itself.
Where do marketing teams usually land on the AI maturity model?
Marketing teams usually land at Stage 1 or Stage 2 and believe they are at Stage 3. Leaders tend to place themselves one stage higher than they really are. That is why the check asks you to answer for the team you actually run, not the one in the board deck.
How long does it take to move up a stage of AI marketing maturity?
It depends on the stage. Moving out of Stage 1 usually takes about a month: survey what your team already does with AI and share what works. Moving from Stage 2 to Stage 3 is the expensive step. The book says to budget two to three quarters of real effort to redesign workflows as owned systems.
How do you reach Stage 4, an AI-Native Marketing System?
You don’t build Stage 4 directly: you operate Stage 3 honestly until shared knowledge, gate migrations and routine retirements start to compound. At Stage 4, agents act within governed boundaries, and humans handle judgment calls and genuine exceptions. Customer-facing output always keeps a human reviewer, however mature the system gets.