Back to Case Studies
AI Automation & Content Strategy

Saved $18K a Year with Make.com and ChatGPT

An internal case study proving that AI-powered automation can consistently publish high-quality, SEO-optimized content, eliminating massive copywriting costs.

$0KAnnual Cost Saved
0XContent Velocity
Agency30 daysAI AutomationContent Marketing

TL;DR

We were paying $75 per article. $3,600 annually just in copywriting, closer to $18K when you factor in coordination, editing, and publishing time. So we built an AI content engine using Make.com, GPT-4, and Typeform. Now topics go in, published SEO-optimized posts come out. 4X content velocity, 99% manual work eliminated, $18K saved. We run on our own automation.

Key Takeaways

  • 1.Calculate true content costs including coordination, editing, and publishing. Not just raw writing fees.
  • 2.Deploy structured input via Typeform capturing keywords, links, and brand voice requirements.
  • 3.Engineer custom GPT-4 prompts that match your specific brand voice and SEO patterns.
  • 4.Build end-to-end pipelines. Topic goes to AI generation goes to Google Drive goes to WordPress publish.
  • 5.Eat your own cooking. We built this for ourselves first, then opened it to clients.

The Challenge: $75 Per Article Was Unsustainable

Content marketing is non-negotiable for demonstrating expertise. But at $75 per article, publishing four posts monthly cost $300/month, or $3,600 annually in raw copywriting fees. Factor in coordination, editing, and publishing time, and the true cost approached $18,000 per year.

We faced a classic scaling problem: the more we grew, the more content we needed, and the more expensive it became. Something had to change.

ℹ️

The Content Cost Crisis

Companies publishing 16+ blog posts per month get 3.5X more traffic than those publishing 0-4. But at $75-150 per article, that level of output costs $15,000-30,000/year. Often more than the ROI justifies.

Beyond cost, two critical factors were failing:

  • Time drain: Manual editing and publishing choked the content pipeline, taking 2-3 hours per post
  • Consistency collapse: Weekly publishing schedules were aspirational, not operational. We'd miss weeks at a time
  • Quality variance: Different writers meant inconsistent brand voice and SEO optimization
  • Scalability ceiling: Adding more content meant adding more cost linearly

Human labor in low-margin content production doesn't scale. Every hour spent on repetitive content tasks is an hour not spent on strategy. The math demands automation.


The Solution: Autonomous Content Pipeline

We built this system for ourselves first, then opened it to clients. An end-to-end AI content engine that takes topic input and delivers published, SEO-optimized blog posts without human intervention.

⚠️

Important Note

AI-generated content still requires human oversight for accuracy and brand alignment. Our system automates 99% of the work but includes optional review checkpoints.

Phase 1: Structured Input System

The foundation: a clean data capture system that feeds the AI with exactly what it needs.

  • Typeform frontend: Clean interface capturing blog topics, primary/secondary keywords, and internal/external links
  • Google Sheets tracking: Central record for content pipeline visibility and status updates
  • Validation rules: Ensures all required fields are populated before triggering automation

Phase 2: AI Content Generation

The intelligence layer: custom-engineered prompts that produce consistent, high-quality output.

  • GPT-4 integration: Engineered prompts instructing AI to generate SEO-optimized outlines and full posts
  • Brand voice training: Custom system prompts that maintain our tone, style, and formatting preferences
  • SEO best practices: Built-in requirements for headers, keyword density, meta descriptions, and internal linking
  • Length control: Configurable word count targets (1,500-3,000 words typical)
💡

Prompt Engineering Matters

The difference between generic AI content and publishable AI content is in the prompts. We spent 40+ hours refining our prompt architecture to match human-quality output.

Phase 3: Automated Publishing Pipeline

The entire system runs on Make.com. Topic enters Typeform → AI generates content → Google Drive organizes assets → CMS publishes automatically.

  • Zero manual copying: Content flows directly from AI to CMS
  • Asset organization: Generated content automatically saved to organized folder structure
  • Scheduling flexibility: Publish immediately or queue for optimal timing
  • Error handling: Failed steps trigger notifications for human intervention

Phase 4: Quality Assurance Layer

Optional but recommended: human checkpoints for critical content.

  • Draft review stage: Content pauses for human approval before publishing
  • Fact-checking prompts: AI flags claims that may need verification
  • Brand alignment check: Quick scan for off-brand language or tone
  • SEO validation: Automated checks for keyword presence and meta data

The Results: $18K Saved, 4X Output, 99% Automation

The system delivered immediate, measurable impact:

$18K
Annual Savings
4X
Content Output
99%
Work Automated
< $5
Cost Per Post

The Bottom Line

What used to cost the same as a part-time employee now runs for less than the cost of a single outsourced article. We don't just sell automation. We run on it.

Breakdown of Impact

  • $18,000 annual savings: Compared to fully-burdened manual copywriting costs
  • 4X content velocity: Weekly publishing now operational, not aspirational
  • 99% manual work eliminated: Data entry, writing, formatting, scheduling. All automated
  • Consistent quality: Every post follows SEO best practices and brand voice guidelines
  • Scalable infrastructure: Adding more content costs pennies, not dollars

We went from struggling to publish once a month to effortlessly publishing weekly. The content quality is indistinguishable from our manually-written posts, and our organic traffic has grown 340% year-over-year.

Internal ResultsRSL/A Content Team

🔧

Tech Stack

  • OpenAI GPT-4
  • Typeform
  • Google Sheets
  • Google Drive
  • WordPress/Sanity

Your Content Costs Are Eating Your Margins

If you're paying $50-150 per article, or worse, not publishing consistently because it's too expensive, the math is broken. Every month you delay is a month your competitors are building organic traffic that you're not.

We build AI content systems that fix the economics permanently, custom-tailored to your brand voice, SEO strategy, and publishing workflow.