Joanna Wiebe CMO-Thinking Marketing Framework

Last updated: 7 August 2026

Apply a six-part CMO-level marketing methodology to build a high-leverage, non-replaceable marketing career or strategy from scratch.

// TL;DR

The Joanna Wiebe CMO-Thinking Marketing Framework is a six-part methodology for building a high-leverage, non-replaceable marketing career or strategy. It teaches you to distinguish performance from growth marketing, use AI to pressure-test thinking rather than write, optimise content for AI citation (AEO), specialise deeply to build a career moat, own your customer's ecosystem, and cut boring, committee-approved messaging. Use it when planning a marketing career, auditing a strategy, onboarding into a new role, or advising a brand — anytime someone asks 'where do I start with marketing' or 'how do I think like a senior marketer'.

Framework

// When should you use the CMO-Thinking Marketing Framework?

Use this skill whenever you are planning a marketing career path, auditing an existing marketing strategy, onboarding into a new marketing role, or advising a brand on how to build durable market presence. Trigger it any time someone asks 'where do I start with marketing' or 'how do I think like a senior marketer'.

// What do you need before applying this framework?

Current role or career stagerequired
Are you a beginner, mid-level, or senior marketer? Or are you working on behalf of a specific brand?
Business or product contextrequired
What product, service, or brand is being marketed? What is the revenue model?
Current marketing activities
What marketing work is already being done or planned? (ads, content, SEO, email, etc.)
Target customer or ICPrequired
Who is the ideal customer profile (ICP) this marketing needs to reach?
Specialist interest area
Is there one area of marketing the user already gravitates toward or wants to own?

// What are the core principles behind CMO-level marketing thinking?

Think Like a CMO from Day One

CMO-level thinking means constantly distinguishing between making something existing work better versus building something that doesn't exist yet. Apply this lens before starting any marketing task, regardless of seniority.

Performance vs. Growth Marketing Distinction

Performance marketing optimises what already exists — conversion rates, CAC, copy, funnels. Growth marketing expands what's possible — new channels, new audiences, new revenue models. Both are necessary, but conflating them traps marketers in optimising someone else's vision instead of shaping one of their own.

AI as Pressure Tester, Not Wordsmith

The lowest-value use of AI is writing faster. The highest-value use is pressure testing your thinking — asking 'where does this fall apart?' before going to market. The marketers who survive AI commoditisation are the ones who use it to challenge strategy, not produce words.

Answer Engine Optimisation (AEO)

The currency of visibility has shifted from traffic to citation. Where SEO was about getting Google to rank your page, AEO is about getting AI answer tools like ChatGPT, Claude, and Perplexity to cite you as the source of truth. The new question for every piece of content is: 'Is this referenceable?' — not just shareable, not just viral, not even just engaging.

The Career Moat via Specialisation

Generalists are becoming replaceable. Marketers who build real leverage pick one thing and go so deep on it that people start citing their frameworks — not their company's frameworks, theirs. The narrower your specialty, the louder your signal.

Owning the Ecosystem

The brands that win aren't the ones with the best content — they're the ones whose message ends up everywhere their customer already is. Distribution is not a content decision; it's about embedding yourself into the identity of the person who buys from you, before the conversation starts.

Stop Being Boring

The most common mistake in marketing isn't saying the wrong thing — it's saying nothing worth remembering. Marketing must take a position, have a point of view, and say something that could be disagreed with. If a line came easily and a boardroom could have written it by consensus, cut it.

// How do you apply the CMO-Thinking Framework step by step?

1
Classify the marketing task as Performance or Growth
Before any marketing work begins, ask: 'Am I here to make something existing work better, or am I here to build something that doesn't exist yet?' Performance = optimise existing funnels, copy, CAC, conversion rates. Growth = new channels, new audiences, new revenue models. Name which one you are doing and let that govern how you think about the entire task. Mixing them up causes the wrong success metrics and the wrong solutions.
2
Deploy AI as a pressure tester, not a writer
Upload your strategy, brief, or copy to an AI tool. Describe your ICP precisely. Then ask: 'Where does this fall apart?' and 'Find every place a real customer would tune out.' Do NOT use AI to generate first drafts as the primary output. Use it to stress-test positioning, challenge assumptions, and model what happens two steps after going to market. The output of this step is a list of weaknesses to fix, not a polished deliverable.
3
Audit all content for Referenceability (AEO test)
For every piece of content planned or existing, ask: 'Would an AI chatbot pull this as a credible source when my ICP asks it a question?' Content should be structured and referenceable — modelled on how Wikipedia, Reddit, and YouTube are currently used by major AI tools as citation sources. If content is optimised only for clicks or engagement but not for being cited as a source of truth, redesign it. Replace the old question 'Will Google rank this?' with 'Will AI cite this?'
4
Identify and commit to one specialisation
Pick the one thing you want to be known for — not just the one thing you can do. It must be specific enough that it could become synonymous with your name (e.g., 'positioning for enterprise B2B tech', 'founder marketing', 'attention capture on social'). Begin building a public record of how you think about that one thing immediately — a newsletter, public writing, or documented frameworks. Do not wait to be an expert; be the person figuring it out in public. Do this consistently for three years. Breadth = forgettable. Specificity = promotable.
5
Map the customer ecosystem and find the embedding points
Stop asking 'How do I improve this post?' and start asking 'How do we embed ourselves into our customers' lives?' Identify where the ICP already spends time, what rituals or communities they belong to, and what partnerships, sponsorships, collaborations, or platform presences would put the brand inside those spaces. Every distribution decision should be evaluated as: 'Does this make us part of the identity of the person who buys from us?' This is a growth marketing question, not a content question.
6
Apply the Anti-Boring Audit to all messaging
For any piece of copy or messaging, ask: 'What would make this completely forgettable?' Then systematically remove those elements. Red flags for boring: generic language, no point of view, avoiding all tension, committee-approved phrasing, nothing a real customer would disagree with. The fix: listen to how actual customers describe their actual problems in their own words — in reviews, support tickets, interviews — and use that language directly. A message is working if it could be disagreed with, because that means it said something real.

// What does the CMO-Thinking Framework look like in real scenarios?

A SaaS company selling a project management tool to freelancers is stuck in a performance marketing loop — running ads, A/B testing landing pages, but growth has plateaued.

Step 1: Recognise this is a Growth Marketing problem, not a Performance one — the revenue model and audience definition may need to change, not just the conversion rate. Step 3: Audit all blog content for referenceability — rewrite top posts as structured, citable resources AI tools would surface when freelancers ask 'how do I manage client projects?' Step 5: Map the freelancer ecosystem — identify Slack communities, industry newsletters, and creator platforms where freelancers already gather, and build embedding partnerships there rather than more ad spend.

A junior marketer wants to build a career but has been told to learn 'a bit of everything' — social, email, paid ads, SEO — and feels invisible.

Step 4: Stop spreading across channels. Pick one specialty that can be owned completely — for example, 'email sequences for B2B SaaS onboarding.' Start a weekly newsletter documenting frameworks and experiments in that specific area. Use Step 2 to pressure test every piece of advice before publishing it publicly. Within 12–18 months, the public record of thinking in that niche becomes a career moat that job titles cannot replicate.

A content team is producing high volumes of blog posts and social content using AI but is seeing declining engagement and zero inbound leads.

Step 2: The team has fallen into the lowest-value AI use case — using it to write faster, producing generic output. Shift immediately: use AI to pressure test whether the content strategy addresses real ICP problems, and where readers would tune out. Step 3: Run an AEO audit — none of the content is structured for AI citation. Rebuild the top 10 posts as definitive, referenceable resources on narrow questions the ICP asks. Step 6: Apply the Anti-Boring Audit — strip committee language and inject real customer voice sourced from reviews and support transcripts.

// What mistakes should you avoid with this framework?

Using AI to write faster instead of think harder — this is the lowest-value use of AI and makes output generic and replaceable.
Only ever thinking in Performance Marketing terms, which means always optimising someone else's vision instead of shaping your own.
Continuing to build on rented land (optimising for a single algorithm or platform) without creating content that can be cited as a source of truth by AI answer engines.
Trying to be a generalist marketer by spreading across every channel — this makes you interchangeable, essentially a walking AI tool that can be prompted and replaced.
Asking 'How do I improve this post?' instead of 'How do we embed ourselves into our customers' lives?' — the former is execution thinking, the latter is CMO thinking.
Waiting to be a full expert before starting to build a public record of your specialisation — the compounding starts only when you begin, not when you're ready.
Creating content that is shareable or viral but not referenceable — visibility without citability has declining value as AI answer tools replace search.
Producing marketing that says nothing worth remembering — the most common mistake is not saying the wrong thing, it's saying nothing real. If a boardroom could have written it by consensus, it's boring. Cut it.

// What key terms should you know for the CMO-Thinking Framework?

Performance Marketing: Marketing that makes what already exists work better — focused on conversion rates, cost of customer acquisition, ad copy, and funnel optimisation. It optimises an existing vision rather than creating a new one.
Growth Marketing: Marketing that expands what's possible — new channels, new audiences, new revenue models. It involves fundamental changes to how a business generates demand and revenue, not just improvements to existing mechanisms.
Answer Engine Optimisation (AEO): The discipline of getting AI answer tools — such as ChatGPT, Claude, and Perplexity — to cite you as the source of truth in responses. The successor to SEO; the currency shifts from traffic to citation.
Referenceable: The quality of content that makes AI chatbots want to pull it as a credible source when an ICP asks a question. Not just shareable, not just viral, not even just engaging — structured and authoritative enough to be cited.
Career Moat: A durable, compounding competitive advantage built by going so deep on one marketing specialty that people begin citing your frameworks — not your company's frameworks, yours. Built through public documentation of thinking over time, not job titles.
Owning the Ecosystem: A distribution strategy focused on embedding a brand into the spaces — communities, rituals, partnerships, platforms — where the target customer already lives, so the brand becomes part of the customer's identity before the conversation starts.
Pressure Testing: Joanna Wiebe's highest-value use of AI: using AI as a thinking partner to find where a strategy, position, or piece of copy falls apart — asking 'where does this fail?' before going to market, rather than using AI to produce output faster.
ICP: Ideal Customer Profile — the specific type of customer a product or piece of marketing is designed to reach and convert.
Rented Land: Any platform or algorithm whose rules you do not control — including Google, Instagram, TikTok, LinkedIn. Building exclusively on rented land exposes a business to sudden, unannounced rule changes that can destroy visibility overnight.
Anti-Boring Audit: A creative review process where you first ask 'What would make this completely forgettable?' — identifying generic language, absent point of view, and tension-free messaging — and then do the opposite. Based on Wiebe's principle that the most common marketing mistake is saying nothing worth remembering.

// FREQUENTLY ASKED QUESTIONS

What is the Joanna Wiebe CMO-Thinking Marketing Framework?

It's a six-part marketing methodology for thinking like a senior marketer from day one. It covers classifying work as performance vs. growth, using AI to pressure-test rather than write, optimising content for AI citation (AEO), specialising deeply to build a career moat, owning your customer's ecosystem, and cutting boring messaging. The goal is durable, non-replaceable marketing leverage rather than interchangeable execution.

What is the difference between performance marketing and growth marketing?

Performance marketing optimises what already exists — conversion rates, CAC, ad copy, and funnels. Growth marketing expands what's possible — new channels, new audiences, and new revenue models. Performance improves someone else's vision; growth shapes one of your own. Conflating them causes wrong success metrics and wrong solutions, so the framework's first step is naming which one you're doing.

How do I use AI in marketing without becoming replaceable?

Use AI to pressure-test your thinking, not to write faster. Upload your strategy, brief, or copy, describe your ICP precisely, then ask 'Where does this fall apart?' and 'Find every place a real customer would tune out.' The lowest-value use is generating first drafts; the highest-value use is challenging positioning and modelling what happens two steps after going to market.

How do I make my content get cited by ChatGPT and Perplexity?

Make it referenceable by structuring it as a definitive, citable resource on narrow questions your ICP actually asks. For every piece, ask 'Would an AI chatbot pull this as a credible source?' Model it on how AI tools currently cite Wikipedia, Reddit, and YouTube. Replace the old question 'Will Google rank this?' with 'Will AI cite this?'

How does this framework compare to a generic 'learn every marketing channel' approach?

Generic approaches spread you across social, email, ads, and SEO, which makes you interchangeable — essentially a walking AI tool that can be prompted and replaced. This framework does the opposite: it forces deep specialisation so people cite your frameworks by name. Breadth equals forgettable; specificity equals promotable. The narrower your specialty, the louder your signal.

When should I use the CMO-Thinking Framework?

Use it when planning a marketing career path, auditing an existing strategy, onboarding into a new role, or advising a brand on durable market presence. Trigger it anytime someone asks 'where do I start with marketing' or 'how do I think like a senior marketer.' It works at any seniority level because CMO thinking is a lens, not a job title.

What is a career moat in marketing?

A career moat is a durable, compounding advantage built by going so deep on one marketing specialty that people cite your frameworks — yours, not your company's. It's built through public documentation of your thinking over time, like a newsletter or written frameworks, not through job titles. Start before you're an expert; the compounding begins when you start, not when you're ready.

What results can I expect from applying this framework?

Expect to stop producing generic, forgettable content and start building citable, referenceable resources that AI tools surface. Over 12–18 months of consistent specialisation, you build a public record that becomes a career moat job titles can't replicate. Brands see growth beyond plateaued performance loops by embedding into customer ecosystems rather than buying more ads.

Why is most marketing boring and how do I fix it?

Most marketing is boring because it says nothing worth remembering — generic, committee-approved, tension-free phrasing anyone could agree with. Fix it by running an Anti-Boring Audit: ask 'What would make this completely forgettable?' then remove those elements. Use real customer language from reviews, support tickets, and interviews. A message is working if it could be disagreed with, because that means it said something real.

What does 'owning the ecosystem' mean in marketing?

Owning the ecosystem means embedding your brand into the communities, rituals, partnerships, and platforms where your customer already lives, so you become part of their identity before the conversation starts. It shifts the question from 'How do I improve this post?' to 'How do we embed ourselves into our customers' lives?' — a growth question, not a content one.

Is SEO dead and should I switch to AEO?

SEO isn't dead, but the currency of visibility has shifted from traffic to citation. AEO — Answer Engine Optimisation — is about getting AI tools like ChatGPT, Claude, and Perplexity to cite you as the source of truth. Content that's shareable or viral but not referenceable has declining value. Build content that's structured and authoritative enough to be cited, not just clicked.

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