Use Case: Content Agency — Scale Output with AI Workflows
A 6-person content agency doubled their monthly output without hiring by using AIWU to automate their content production pipeline. This case study covers the exact workflows they built.
Before You Start
This use case combines several AIWU content features. Guides you’ll want to read first:
- Bulk Article Creation — generate multiple articles at once
- RSS Autoblogging — automate content from feeds
- Internal Linking Automation — SEO-friendly link building
- Bulk Update Old Posts — refresh existing content
The Challenge
The agency produced blog content, social media posts, and email newsletters for 12 recurring clients. Each piece required a brief, a draft, an edit, client review, and publishing. Writers were spending 30% of their time on research, brief-writing, and reformatting — not actual writing. They needed to scale without proportional headcount growth.
The Solution: Content Production Pipeline
Part 1: Brief Generation Workflow
The most time-consuming first step — creating content briefs from client inputs — was automated.
Workflow: Client Brief Form → Content Brief
- Trigger: Incoming Webhook (from the client’s brief submission form on the agency’s site)
- Action: Generate Text —
Create a detailed content brief for the following article: Topic: {{webhook.topic}} Client: {{webhook.client_name}} Target audience: {{webhook.audience}} Key messages: {{webhook.key_points}} Tone: {{webhook.tone}} Word count: {{webhook.word_count}} Include: working title, 5 H2 headings, key takeaways, 3 external sources to reference, SEO keyword recommendations. - Action: Create WordPress Draft — saves the brief as a draft post with the writer’s name in the title
- Action: Send Slack — notifies the assigned writer that a new brief is ready
Time saved: 45 minutes per article → 3 minutes.
Part 2: First Draft Generation
For SEO-heavy, structured content (how-to guides, listicles), the AI generates the first draft. Writers review and elevate — they don’t write from scratch.
Workflow: Brief Approved → First Draft
- Trigger: Post status changes to “pending” (writer marks brief as approved)
- Action: Get Post Content — retrieves the brief
- Action: Generate Text —
Write a {{word_count}}-word article following this brief: {{brief_content}} Writing style: {{client_tone}} Include: introduction, all specified H2 sections, actionable takeaways, conclusion with CTA. Do not use generic filler phrases like "In today's world" or "It's important to note". - Action: Update Post — saves draft content into the post
- Action: Send Slack — “Draft ready for [client name] article: [post link]”
Part 3: Multi-Format Content Repurposing
Once an article is published, a single workflow automatically creates 5 additional content pieces from it.
Workflow: Post Published → Content Package
- Trigger: Post published (tagged with client category)
- Action: Get Post Content
- Action: Generate Text (x5, each with a different prompt):
- LinkedIn post (professional tone, 150 words, ends with question)
- Twitter/X thread (5 tweets, punchy, numbered)
- Email newsletter section (2 paragraphs, subscriber-friendly)
- Instagram caption (engaging, 80 words, 5 relevant hashtags)
- Short-form video script (60-second talking points)
- Action: Send Email — delivers all 5 formats to the client in a single email
Time saved: ~3 hours per article → 8 minutes for the full content package.
Part 4: SEO Audit Workflow
The agency runs a monthly SEO audit using MCP + Claude Desktop, letting the account manager ask questions like “Which of our client’s posts need updating?” directly in Claude.
Using the MCP integration, Claude can access the WordPress site and return posts with low word count, missing meta descriptions, or no internal links — without any manual dashboard work.
Results After 90 Days
| Metric | Before | After |
|---|---|---|
| Articles produced per month | 48 | 96 |
| Time per article (brief to publish) | ~6 hours | ~3 hours |
| Social posts produced per article | 1–2 | 5 (automated) |
| Client satisfaction score | 7.2/10 | 8.6/10 (faster turnaround) |
Key Principles from This Case Study
- Automate the “around the writing,” not the writing itself. The biggest gains came from automating briefs, reformatting, and distribution — not replacing writers. Writers used their time for quality review and the parts only humans can do well.
- Build workflows incrementally. The agency started with just the brief workflow, validated it, then added repurposing. Don’t try to automate everything at once.
- System prompts are your house style guide. The more specific the prompt (tone, what to avoid, format requirements), the less editing needed.
What’s Next
- 🔁 Build your first workflow: First Custom Workflow
- 🔗 Connect to Slack: Slack Integration Guide
- 🔌 Webhooks for forms: Webhooks: Connect External Services
- 🏢 Next use case: SaaS Company: In-App Help Desk AI
Last verified: AIWU v.4.9.2 · Updated: 2026-02-25
