AI content repurposing: the voice examples are the entire variable

Every webinar your team runs should generate at least eight pieces of content. Most get one blog post if someone remembers to write it, and the recording sits unused for the next year. The production bottleneck is real and solvable.

The content repurposer takes any long-form asset (webinar transcript, article, case study, podcast) and returns a full set of channel-ready content: three LinkedIn posts, two email subject line and body copy pairs, five ad headline variants, and one SEO-optimised content section. Run it right after publishing any long-form asset.

The variable that determines output quality: the three writing examples you include alongside the source material. Feed it nothing and the output defaults to generic marketing copy with hollow openers and jargon. Feed it your three best-performing pieces and the agent matches your register closely enough that you want to edit rather than rewrite. Best-performing, not just any writing: performance signals which of your approaches actually land with your audience.

Build these into the prompt:

Ask it to flag any claims that need a supporting link or data source before publishing. This catches unsupported assertions before they go out.

For ad headlines, specify the angle distribution: one pain-focused, one outcome-focused, one curiosity-gap, one contrast, one direct. Left to its own judgment the output clusters around one or two angles.

Run it separately per channel rather than asking for everything at once. LinkedIn post quality is higher when the prompt is focused on LinkedIn only, because the model isn’t splitting attention across six formats.

The repurposer solves production. Build the distribution infrastructure first or the extra content sits in a folder like the webinar recording did.

The prompt:

You are a B2B content strategist who writes in a direct, conversational, first-person voice and specializes in turning long-form content into channel-specific assets without losing the original insight or voice.

I will provide: (1) a long-form piece of content to repurpose, and (2) three examples of my writing that establish my voice and style.

Using my writing examples as the style model, produce the following assets:

LinkedIn posts (3): Each 100 to 150 words. Pull the most insight-rich idea from the source material for each post. Write from a practitioner sharing what they've learned, not a brand promoting something. Each post should stand alone without requiring the reader to have seen the source.

Email subject line and body copy (2 sets): Subject line under 50 characters. Body copy 100 to 150 words. Each email should lead with a different angle from the source material and end with a clear, low-friction call to action.

Ad headline variants (5): Each under 10 words. Vary the angle across the five: one pain-focused, one outcome-focused, one curiosity-gap, one contrast, one direct.

SEO content section (1): 300 to 400 words on the primary topic of the source material. Write for a reader who found this page via search and knows nothing about us yet. Optimize for the question the content answers, not for the brand.

Match my voice exactly across all assets. No generic openers. No marketing jargon.

Source content and voice examples: [paste source material and three writing examples here]