Approach
How the work gets made
The method behind the franchises — development, production, audience learning, and expansion. The work itself is on the home page.
What makes a franchise, a franchise?
Premise
One heartbeat concept a viewer recognizes in a single frame.
Structure
An iterative structure that is purpose-built for a particular platform.
Talent
Recurring, recognizable people — internal or external expert, creator, or celebrity — the audience comes back for.
Ecosystem
Repackaged across social platforms, blog, and email, so one shoot becomes weeks’ worth of assets.
Funnel role
A defined purpose — awareness, consideration, or conversion — so each franchise drives business results.
Target audience
The ICP you are trying to reach.
Install your content operating system
A framework for designing, managing, and continuously improving a portfolio of repeatable content formats (franchises) aligned to business objectives. Content franchises = digital IP that builds brand equity.
The system is composed of recurring formats (franchises). Begin by defining the strategic inputs that guide the portfolio.
Define your strategic inputs:
- 1
Business objectives — What do you want content to achieve for the business?
- 2
ICPs — Who are you trying to reach through content?
- 3
Brand & product narratives — What stories and positioning should the audience remember?
Where AI operates:
ICP research — Synthesize audience research into the ICP definitions every downstream franchise inherits.
Output
The strategic foundation for the content system.
→ Feeds phase 2
First, define: how many recurring formats (franchises) should exist?
Then define each format's (franchise's):
- 1
Business objective — Why does it exist? (brand awareness, product adoption, thought leadership, lead capture)
- 2
ICP — Who is it for?
- 3
Audience journey stage — Where is the audience? (discover, evaluate, adopt, expand, advocate)
- 4
Narrative — Which brand or product story does it tell?
- 5
Structure — What repeatable mechanics make the format (franchise) work?
- 6
Primary + secondary platforms — What platform is it native to, and where does it live?
- 7
Primary KPI — How is success measured? (impressions, link clicks, watch time, demo requests, retention rate)
Where AI operates:
Structure research — Break down what makes proven franchises repeatable, so a new format's mechanics start from evidence rather than instinct.
Brief writing — Turn the defined objective, ICP, journey stage, and narrative into a production-ready brief.
Brainstorm partner — Pressure-test premises, angles, and structural variations before anything reaches production.
Edit, color, and audio — Optimization passes across the finishing stack.
Output
A portfolio of strategically defined, repeatable formats (franchises).
Every franchise serves a distinct business objective by moving a specific audience through a specific stage of its journey.
→ Feeds phase 3
For every franchise in your portfolio, run a continuous learning loop.
Run the learning loop:
- 1
Measure — Evaluate performance against the format's (franchise's) primary KPI.impressions, watch time, CTR, leads, product adoption, revenue influenced
- 2
Optimize — Identify what's driving or limiting performance.hook, thumbnail, title, caption, narrative, structure, distribution
- 3
Iterate — Apply learnings to future versions.scale winners, refine underperformers, launch spin-offs, reposition formats (franchises), retire formats (franchises) that no longer serve
Where AI operates:
Performance analysis — Read each franchise's numbers against its primary KPI rather than vanity metrics.
Optimization signals — Surface which variables are driving or capping performance — hook, thumbnail, title, narrative, distribution.
Iteration planning — Model where to scale, refine, spin off, or retire, then feed it back into the next plan.
Output
A continuously improving portfolio and a more effective content system.
↻ Loops back to plan
Franchise architecture
Scroll to see the funnel →
Every content franchise, at every stage of the funnel, carries the same set of multimedia extensions, cross-pollinating a myriad of marketing channels.
One shoot.
Weeks of assets.
Across all surfaces.
Scroll to watch it fan out.
The AEO angle: detailed metadata, full transcripts, and chapter markers make each episode machine-readable, so the library is in a form assistants like ChatGPT, Claude and Gemini can actually parse. Whether any given system surfaces it is theirs to decide — the work is making sure there is something legible to find.