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Take the free scorecardThe six areas we score
Buying more tools does not raise your maturity. These six areas do.
- Strategic foundation. Positioning, ICP and research that every asset starts from.
- Context layer. The facts, voice and proof your AI can actually read.
- Audience psychology. Personas, objections and triggers that make copy land.
- Execution engine. How fast strategy turns into shipped campaigns.
- Quality and trust. Review, claim checks and keeping AI tells out.
- Measurement and learning. Results that flow back into the next draft.
Level 1: Ad hoc
AI is a side experiment. Strategy lives in people’s heads. Score range 0 to 20.
What it looks like
- People use ChatGPT on their own, with no shared prompts
- Positioning lives in the founder head or an old deck
- Output quality depends on who wrote the prompt
Warning signs
- Every draft starts from a blank chat
- Two people describe the product two different ways
What to do next
- Write down who you sell to, the problem you solve and why you win
- Pick one recurring asset and use AI on it every week
You move up when one written source of truth exists and the team actually uses it.
Level 2: Experimenting
Pockets of AI use with no shared context or standards. Score range 21 to 40.
What it looks like
- A few people get real wins from AI
- Prompts get shared in Slack, then lost
- No one agrees on what good output looks like
Warning signs
- Results swing wildly between people
- Brand voice drifts from asset to asset
What to do next
- Turn your positioning, personas and proof into one shared context layer
- Agree on a short quality checklist for AI drafts
You move up when every AI draft starts from the same shared context.
Level 3: Operational
Repeatable workflows exist but context and quality still leak. Score range 41 to 60.
What it looks like
- Repeatable workflows exist for core assets
- A shared brief or Brain feeds most drafts
- Review still catches the same problems every week
Warning signs
- Claims drift between the landing page and the ads
- Nobody knows which AI assets actually performed
What to do next
- Plan campaigns as a set of linked assets, not one-off drafts
- Add a consistency check across finished assets
- Tag every asset so results can be traced back
You move up when quality and consistency are checked by the system, not by heroics.
Find your level in four minutes.
18 questions. Instant score and your three highest leverage moves.
See where you landLevel 4: Systematic
A shared foundation drives most work. Learning loops are forming. Score range 61 to 80.
What it looks like
- One foundation drives strategy, campaigns and content
- Quality is scored before anything ships
- Results flow back into planning
Warning signs
- Learning still happens in meetings instead of in the system
- New channels take weeks to plug in
What to do next
- Feed winners and losers back into the Brain automatically
- Schedule recurring work so it runs without a prompt
You move up when the system learns from every result without someone pushing it.
Level 5: AI-native
Strategy, context and execution run as one system. Score range 81 to 100.
What it looks like
- Strategy, context and execution run as one loop
- Every asset inherits the approved story
- Performance data updates the foundation on its own
Warning signs
- The risk is complacency and stale research
What to do next
- Refresh brand and competitor research every quarter
- Pressure test the foundation with simulated buyers before big launches
Stay here by keeping the foundation honest and current.
How to move up fast
- Brain first. Write the foundation once: positioning, personas, proof and voice. Every asset inherits it.
- Then execution. Plan campaigns as linked assets that share one approved story.
- Then measurement. Feed results back so the foundation gets sharper every run.
Fix your weakest area before polishing your strongest. The scorecard tells you which one it is.
Find your level in four minutes.
18 questions. Instant score and your three highest leverage moves.
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