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marketing-agency · Content · AssistBuy it

AI content repurposing

01 — The scenario

A marketing-agency business where this lands in Marketing.

The friction
contentsocialproductiondistribution

02 — What is actually going wrong

A good long-form piece takes a week and gets posted once. The derivative work — the social cuts, the newsletter section, the carousel — is low-skill, high-volume, and always the thing that slips when the week gets busy.

How it works

The finished long-form piece goes in and comes back as channel-native drafts: social posts, an email section, a video script, a carousel outline, each shaped to the platform rather than truncated. An editor approves and schedules.

What good looks like

Every substantial piece produces a fortnight of derivative content instead of a single post, the team stops writing captions on Friday afternoon, and channel consistency stops depending on who had time.

03 — The problem, in money

$16,088$658,125/ yr at stake
Modeled
  • Long-form pieces per week10 pieces50 piecesPlaceholder — not a validated benchmarkStarting point
  • Hours saved per piece1.5 hours5 hoursPlaceholder — not a validated benchmarkStarting point
  • Blended blended_hourly_cost cost55 USD135 USDPlaceholder — not a validated benchmarkStarting point
  • Share of freed time redeployed0.5 ratio0.5 ratioPlaceholder — not a validated benchmarkStarting point

04 — The options

Buy$50–$200 / moOff-the-shelf tooling, live sooner.
Bin$0Do nothing — and accept the leak.

05 — The call

Buy it

Buy it. An off-the-shelf tool wins this one — it gets you live faster, and the math does not justify building from scratch.

06 — How this goes wrong

  • Publishing unedited. Derivative output is the most obviously machine-written content on the internet and audiences have calibrated to it fast.
  • Volume without a point of view. Ten mediocre posts a week erode a brand faster than two good ones build it.
  • Losing the source's specificity. The details that made the original worth reading are exactly what gets smoothed away.
  • Repurposing content that was not good in the first place — this multiplies whatever you feed it.

07 — How you would actually do it

  1. 01Write the brand voice guide properly, with examples of what you would never say.
  2. 02Pick the three channels that actually matter and ignore the rest.
  3. 03Build a prompt or project per channel — one generic prompt produces one generic voice.
  4. 04Keep a named editor accountable for everything that publishes.
  5. 05Review engagement by source piece, not by post, so you learn what is worth repurposing.

08 — Tools worth looking at

Claude ProjectsStrongest at holding a voice guide across derivative formats.
Castmagic / Opus ClipAudio and video first, if the source is a podcast or webinar.
Buffer / Later AIScheduling with drafting attached; fine for lighter needs.

Named for orientation, not endorsement. No affiliate arrangements, and nothing here has been paid for.

09 — Run it on your numbers

Start from industry averages, then drag the inputs to match your business. The number moves live.Drag each input to your number — the starting points are neutral midpoints, not industry data. The number moves live.

Worth to your business
$16,088per year
Modeled — industry averages
Revenue$0Modeled
Cost savings$0Modeled
Hours / week15Modeled
Industry averages
10 pieces
Industry avg: 10 piecesPlaceholder — not a validated benchmark
1.5 hours
Industry avg: 1.5 hoursPlaceholder — not a validated benchmark
55 USD
Industry avg: 55 USDPlaceholder — not a validated benchmark
0.5 ratio
Industry avg: 0.5 ratioPlaceholder — not a validated benchmark

10 — The evidence · what others report

No hard numbers reported.

Reported numbers are third-party claims, source-attributed — not verified by me, and never blended into the model above.

11 — Questions owners ask

Every figure is Modeled — computed from industry-average benchmarks against the scenario’s formula. Move the sliders to your own inputs and the numbers recalculate live. Nothing here is a promise; it is a starting estimate you can pressure-test.
The library is organized by department, outcome, effort and readiness so you can find what fits. Add scenarios to your plan, tune the inputs, and see the combined picture on your plan dashboard.
Want this to be a Projected number? That's what the Audit produces — my forecast on your real data, with my name on it.
Build means a custom system is the right move; Buy means an off-the-shelf tool wins; Bin means the math does not justify doing it at all. Binned scenarios can be favorited for reference but never enter a plan.

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