AI copywriting masterclass: thinking over writing with Stefan Georgi

Executive overview

The traditional copywriting model — long VSLs on landing pages, affiliate traffic, aggressive DR funnels — has largely stopped working. Consumer attention spans have shortened, platforms have diversified, and black-hat operators have poisoned certain channels. The copywriter who survives isn't a faster writer; they're a better thinker.

Stefan Georgi's updated RMBC2 framework repositions copywriters as copy thinkers: people who understand full customer journeys, match messaging to product-market awareness levels, and use AI to accelerate research and ideation while applying human judgment to decide what actually gets tested.

AI produces outputs; experienced judgment decides which outputs are worth anything.

The death of the legacy DR funnel

• The classic model — Facebook ads to VSL landing page — still exists but is no longer the default.
• Current funnels span: short video ads to advertorials to product pages; 15–25 min in-feed VSLs; static ads; native, YouTube, Google Demand Gen.
• Traffic source shapes buyer intent — copy must be written for each platform's specific context.
• The ClickBank VSL model is now dominated by black-hat operators running deepfakes; competing "grey hat" is nearly impossible.
• Advertisers who crushed it in 2020–2022 are struggling because they're still running 2020 funnels.

Why the market shifted

• Attention spans shortened; video consumption increased massively, but shorter formats now dominate.
• Baby boomers, historically the core VSL audience, have shifted consumption habits and are aging out of peak purchasing.
• Gen X is now the primary buying demographic and behaves differently.
• Even legacy audiences recognise when they've been pulled off a news article into a long video funnel — and leave.

Product-market awareness: the most underused research step

• The five levels: unaware, problem aware, solution aware, product aware, most aware.
• Most marketers default to talking to product-aware or solution-aware segments — this captures 20% of the addressable market.
• Brands that scale to $50M+ typically speak to problem-aware audiences first, then introduce solutions.
• Targeting the wrong awareness level is the single most common reason funnels underperform.
• Use Gemini 2.5 Pro deep research to estimate the percentage distribution of your market across awareness levels.
• Tallow skincare example: assuming product awareness, ads underperformed; deep research revealed 90% of the market was problem- or solution-aware, requiring education-first copy.

The RMBC2 research process

• Four sequential research steps, all AI-assisted:
  1. Product-market awareness — where is the target audience on the five-level spectrum?
  2. Competitor research — what are the main USPs, gaps, and what's missing from current messaging?
  3. Psychographic research — hopes, fears, desires, the 2am ceiling-stare moment.
  4. Unified synthesis — combine all three documents in Claude; produce a single research brief.
• Unique mechanism selection depends on awareness level; don't over-engineer mechanisms for high-awareness audiences.
• Use AI to rank mechanism candidates by fit with the research brief, not by instinct alone.

Where human judgment still beats AI

• AI generates outputs; humans select which outputs have the highest probability of working.
• Pattern recognition from studying live ads — e.g. noticing "don't make this mistake" hooks dominate a brand's library — is hard to replicate at scale with AI.
• Studying real funnels by actually buying products ($200–300 occasionally) builds judgment faster than any course.
• Curiosity is the compounding skill: follow ad libraries, spy tools (Calo data for TikTok), and competitive rabbit holes regularly.

What copywriters should focus on now

• Understand the full customer journey: which asset goes where, what length, what format, what platform.
• Email retainers are no longer the primary freelance opportunity; video scripts, hooks, and advertorials are.
• "Full-stack copy thinker" is the viable career path; pure email writers have a shrinking market.
• AI lets one skilled operator replace the output of 10 average copywriters — demand for juniors is down, demand for senior thinkers is up.
• In-house or agency roles for 1–2 years remain a strong path for building pattern recognition fast.

Getting hired: standing out in a crowded applicant pool

• Businesses want reliability, speed, and someone who needs zero hand-holding — lead with that in applications.
• Tailor portfolio samples precisely to the role; a VSL-heavy portfolio won't land an email retainer.
• Propose a paid trial project proactively: frame it as a competitive test among your top peers, and express confidence you'll win it.
• This positions you as consultative and removes the employer's biggest hiring risk — finding out someone can't perform under a real deadline.

Personal brand vs. building real businesses

• Personal brand coaching is easy to start but hard to scale past $3M/year without becoming a full-time content machine.
• D2C brands are harder to launch but compound differently: systems, teams, and product equity scale without the founder's face.
• Content-heavy personal brands require constant on-camera presence; that's a job, not leverage.
• The risk of personal brand building: self-worth becomes tied to online metrics, and the business can't run without the founder.