Atomize Long-Form Content into Multi-Platform Marketing Assets

Repurpose your content across platforms

Your team published something good — a blog post, a webinar recap, a case study. Now it needs to show up on LinkedIn, X, email, maybe more. Turning one piece into a full set of platform-ready content takes time, especially when each platform has its own format and feel.

Start by sharing what you're working with: the content, your brand voice, and which platforms matter most. Juma will ask follow-up questions to get the context right, then it'll create a full set of posts you can publish.

Edit the sample values in the prompt to match your situation, or hit "Try it" and adjust as you go.

The more comprehensive your context, the better your AI-generated content will be – the AI takes into account all the information you include and gives you much better responses.

What you'll get

LinkedIn posts in a mix of formats — a text post, a carousel outline, a poll or question post — so the team has options. X threads with hooks designed to stop the scroll. An email newsletter section ready to drop into your next send. And for any post that would work better with a visual, a brief describing what to create. Everything is written in your brand voice and ready to copy, paste, and publish.

Keep building from here

Once you have your content set, these prompts help you refine or extend it. Use any of them in the same conversation — your brand voice and content context carry over.

Build a posting schedule

You have the content — now the team needs to know when to post it. This creates a schedule so no one's guessing or flooding a single platform in one day.

Тips for stronger results

• Share the full content if you can. Paste the blog post, drop in a transcript, or share a link. The more Juma has to work with, the closer the posts are to publish-ready.
• Describe your brand voice in plain language. Even a few words help — "professional but warm," "direct and a little playful," "technical but accessible." Juma builds from there.
• Name your top platforms. Not every team is on every platform. Mention where your audience actually engages so the content is focused where it matters.

Make it repeatable with a project

The prompt above works well for a one-off. But if your team repurposes content regularly for the same brand — or if you're an agency managing multiple clients — you'll end up describing the same voice, audience, and platform preferences every time.

A Juma project saves that setup. You add your brand context once, and every conversation in the project starts with that context already loaded. The prompt gets shorter, the output gets more consistent, and repurposing the next piece takes a fraction of the time.

Here's what a project setup looks like, using "Client: Juma" as an example.

What goes in the project

Brand Voice Guide — How Juma sounds: tone, vocabulary, what to avoid. Once this is in the project, Juma doesn't ask "tell me about your brand voice" — it already knows.

Audience Profile — Who the content is for: marketing teams, agencies, content leads. This shapes the vocabulary, pain points, and level of assumed knowledge in every post.

Platform Playbook — Which platforms matter, in what order, with what format and cadence. LinkedIn is Juma's primary channel, X is secondary, email supports. Juma follows this without being told each time.

LinkedIn Post Examples — A few real posts that represent what "good" looks like. Juma pattern-matches against these — so the output doesn't just follow voice rules abstractly, it structurally resembles posts the team actually publishes.

X Thread Examples — Same idea, different platform. Threads have their own conventions — hook tweets, self-contained follow-ups, lighter CTAs. Examples keep the format tight.

Tying it together with custom instructions

The project's custom instructions are where it all connects. They're short — just a few lines pointing Juma to the files by name.

Each line references a document in the project. If the team updates the Brand Voice Guide, the output changes to match. Notice that the instructions cover both content work and campaign planning — one project, one set of instructions. The instructions don't teach Juma how to do the work — they tell it where to find the context that makes the output feel like yours.

The prompt, simplified

With a project set up, the prompt shrinks. No need to describe voice, audience, or platforms — the project already has all of that.

What changes

‍Juma doesn't ask clarifying questions — it goes straight to generating. The LinkedIn posts match the structure and tone of the examples in the project. Each platform feels intentionally different because the Platform Playbook guides what goes where. And the next time the team repurposes a piece, the prompt is even shorter — the context is already there.

Tips for better results

• Provide high-performing examples: Add your best-performing content from each platform to Project knowledge. The AI will learn what resonates with your specific audience and replicate those patterns
• Update your strategy regularly: As platform algorithms and best practices evolve, update your research documents and example content to keep the AI's recommendations current
• Specify your content mix: Tell the AI exactly how many atoms you want for each platform and what formats to prioritize (e.g., "Create 5 LinkedIn posts: 2 thought leadership, 2 data-driven, 1 storytelling")
• Maintain a content calendar: Reference your existing content calendar in Project knowledge so the AI can suggest distribution dates that complement your overall marketing strategy
• Iterate based on performance: Track which atomized content performs best on each platform, then update your examples and guidelines to reflect those learnings

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