Menu Close
Close
Get in Touch

The kōdōkalabs
AI Marketing Maturity Assessment

HomeToolsAI Marketing Maturity Assessment

AI Marketing Maturity Assessment

The AI Marketing Maturity Assessment is a self-assessment that estimates how consistently an organization aligns strategy, workflows, knowledge, technology, governance, people, and measurement when using AI in marketing. Your result reflects your own responses to 28 questions -a it is not an independently verified organizational diagnosis, and it works best as a starting point for a conversation, not a final answer.

Assessment Summary

  • Purpose: Estimate your organization’s current AI marketing maturity across seven dimensions and identify a useful next step.
  • Who it’s for: Marketing leaders, operations leaders, and executives who want a structured starting point before committing to a full evidence-based assessment.
  • Time to complete: Estimate to be confirmed once the tool has been tested with real users — this page will state a tested completion time rather than a guess once that testing is complete.
  • What you’ll get: An estimated maturity stage, a profile across all seven dimensions, an evidence-confidence note, your strongest capabilities and priority gaps, the primary risk created by any imbalance between dimensions, and a recommended next step.
  • What it is not: A verified organizational diagnosis, a benchmark against other named companies, or a substitute for the evidence-based review performed during an Executive AI Marketing Assessment.

Before You Begin

  • Who should complete it: Anyone with visibility into how your organization currently uses AI in marketing — typically a marketing leader, operations lead, or someone coordinating AI-related initiatives.
  • What evidence is useful: Having a rough sense of your current workflows, tools, governance practices, and past measurement efforts will help you answer more accurately than guessing. Each question includes an optional space to note the evidence behind your answer, which is useful for your own records even though it isn’t scored.
  • One respondent or several: A single respondent’s view reflects one perspective on the organization. Where different leaders (for example, marketing operations, IT, and a business owner) would answer certain questions differently, that disagreement is itself useful information — consider having more than one stakeholder complete the assessment separately and comparing results, rather than assuming one person’s view represents the full picture.
  • Data handling: You can complete this assessment anonymously. If you choose to save or receive your result, we’ll ask for an email address, separated from your answers unless linking them is necessary and disclosed to you first. We do not ask for a phone number, confidential company data, or any special-category personal data. Full detail on data handling is provided in the Privacy and Data Use section below and, once published, our Privacy Policy.

Start the Assessment

The assessment covers seven dimensions, four questions each – 28 questions in total. Each question describes an observable organizational condition, not an opinion or aspiration; answer based on what’s actually true today, not what you’re working toward. Every question offers “Not sure / insufficient evidence” as an honest answer where you don’t have the information to answer confidently – this is reported as an evidence gap, not scored as low maturity.

Your AI Marketing Maturity Result

This section is a dynamic result component populated after assessment completion — not static editorial content.

How the Result Is Calculated

Each question maps to one of the seven maturity stages based on the observable condition you select. Your dimension score reflects the pattern of answers within that dimension, not a simple average alone — a dimension where your answers cluster consistently at one stage is treated differently from a dimension where your answers are scattered across several stages, since scattered answers usually indicate genuine unevenness within that dimension rather than a single clean maturity level. An overall maturity estimate is shown only once a minimum number of questions has been answered with a scored response; if too many questions are marked “Not sure,” the result will say so explicitly rather than presenting a number built on insufficient evidence.

This aggregation method is kōdōkalabs’ own scoring approach, developed for this assessment. It is not an externally validated psychometric instrument, and no percentile ranking, industry benchmark, or comparison to named companies is presented — there is no reliable, verified dataset of other organizations’ results to compare against, and this page will not claim one exists. The version number of the question set and scoring method in use is displayed alongside every result, so a result can always be traced back to the exact instrument that produced it.

What Your Stage Means

Each of the seven stages below is described briefly here; the full detail, including common pitfalls at each stage, is covered in the AI Marketing Maturity Model.
Stage
Brief Description

1. Unstructured Awareness

AI use in marketing, if any, is informal and unsponsored

2. Individual Experimentation

Individuals use AI tools on their own initiative, uncoordinated

3. Controlled Pilots

A specific, sponsored pilot is underway with interim guardrails

4. Standardized Workflows

At least one workflow is documented, governed, and consistently run

5. Integrated Operations

Workflows and knowledge connect across multiple functions

6. Measured Transformation

Value is proven and communicated with evidence

7. Adaptive AI-Native Organization

The organization sustains and continuously refines AI-enabled capability

Human Review Roles and Decision Rights

Pilot Review assigns specific decision rights to specific reviewer roles — a subject-matter reviewer evaluating factual and editorial quality, a governance reviewer evaluating compliance, a workflow owner evaluating operational viability, and a named decision-maker with authority to select among the five outcomes below. Diffuse or unassigned review responsibility tends to produce a pilot that everyone informally feels good about and no one has formally validated.

Why Dimension Imbalance Matters

An overall maturity score can obscure a real and important pattern: an organization with a high Technology and integration score but a low Governance and risk score is not simply “moderately mature” — it’s an organization that has built capability faster than it has built the controls to manage it, which is a specific and identifiable risk, not a neutral in-between state. Similarly, strong Strategy and executive alignment paired with weak Measurement and value realization suggests leadership is confident about AI’s direction without solid evidence to back that confidence up. The assessment reports your full seven-dimension profile precisely because the imbalance pattern is often more decision-relevant than the single overall stage — two organizations with the same overall score can face very different actual risks depending on which dimensions are driving that score.

Recommended Next Steps

Recommendations are based on your actual answer pattern, not a single generic suggestion applied to every result.

Result Pattern
Recommended Resources

Low or uncertain maturity overall

Diagnose phase resources: consider an Executive AI Marketing Assessment

Strategy or workflow gap relative to other dimensions

Architect phase resources: explore the AI Marketing Operating System

Workflow or knowledge readiness gap

Build phase resources

People, capability, or ownership gap

Enable phase resources: explore the AI Capability Academy

Measurement gap relative to other dimensions

Measure phase resources; explore the Fractional AI Growth Director

High, evenly distributed maturity with validated workflows

Scale phase resources
These routing rules are documented and version-controlled alongside the scoring method, and are designed so the same commercial recommendation isn’t shown regardless of what you actually answered — a genuinely high-maturity, well-governed organization will not be routed to the same “start here” resources as an organization just beginning to experiment.

Limitations of the Self-Assessment

This assessment is based entirely on your own responses; it isn’t independently verified against your organization’s actual systems, documentation, or practice the way an Executive AI Marketing Assessment is. Your result reflects the perspective and knowledge of whoever completes it — a single respondent may not have full visibility into every dimension, particularly in larger organizations where different functions manage different parts of AI-assisted marketing work. The instrument covers 28 observable-behavior questions across seven dimensions; it is deliberately broad rather than exhaustive, and it cannot capture every nuance of your specific situation. Where your confidence in an answer is low, marking “Not sure” produces a more honest and useful result than guessing.

Privacy and Data Use

You can complete this assessment anonymously. If you choose to receive or save your result, we ask for an email address, which we treat separately from your assessment responses unless linking them is necessary for a purpose we disclose to you first. We do not request a phone number, confidential company information, or any special-category personal data. Saving your result is distinct from subscribing to marketing communications — choosing one does not automatically opt you into the other, and you can withdraw marketing consent without losing access to a result you’ve already requested. Full detail on retention periods, who processes your data, and your rights will be provided in our Privacy Policy once published.

Frequently Asked Questions (FAQ)

No. It's a self-reported estimate based on your own answers, not an independently verified assessment of your organization's actual systems and practices.

Anyone with visibility into how your organization currently uses AI in marketing — typically a marketing or operations leader.
It can be useful, especially in larger organizations where no single person has full visibility across all seven dimensions — differing results between respondents are informative in themselves.
No. A high Technology and integration score alongside a low Governance and risk score indicates a specific risk — capability has outpaced control — not a stronger overall position. See "Why Dimension Imbalance Matters" above.
It's reported as an evidence gap in your result, not scored as low maturity — the two are treated as genuinely different things.
Only if you explicitly choose to save or receive it. You can complete the assessment anonymously otherwise.

Yes. Maturity changes over time, and retaking the assessment periodically can help track how your organization's profile is shifting.

This tool is a free, self-reported estimate you complete on your own. The Executive AI Marketing Assessment is a paid engagement involving direct evaluation of your organization's actual systems, data, and workflows by kōdōkalabs.

Ready to
Validate Your AI Marketing Workflows Properly?

If you value speed but demand editorial rigor and E-A-T, the Pilot Review is the essential step that guarantees our content protects and elevates your brand.
Get In Touch With Us