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Automated SEO & Content Engine

How we empowered a small marketing team to produce 8-10x the content and cut 30% of wasted ad spend with AI systems built around their existing workflow.

8-10

Blog posts per week

30%

Reduction in wasted ad spend

Daily

AI-powered ad performance reviews

CLIENT OVERVIEW

A technology company whose marketing team had become the bottleneck to growth. They needed to build an organic content pipeline but the team could barely produce 1-2 blog posts per week. On the paid side, ad management was manual and reactive, with underperforming campaigns burning budget for days before anyone caught it. The team was working hard but their processes couldn't keep up with what the business needed. We built AI systems around the existing team so they could do dramatically more.


THE PROBLEM

What was broken

01

Marketing team couldn't keep up with content demand

The team needed consistent SEO content to build an organic pipeline but could only produce 1-2 blog posts per week. Social content was inconsistent. The gap between what the business needed and what the team could deliver was growing every month.

02

Ad management was manual and reactive

Creating new ad variations meant manually writing copy, uploading videos, and configuring targeting for each. Performance review happened weekly at best. By then, underperforming ads had already wasted significant budget. They needed AI in the loop daily.

03

No systems to scale what the team was already doing

The team knew what needed to happen but didn't have the systems to do it at scale. Content creation, ad management, and performance analysis were all manual processes that couldn't keep up with the pace the business demanded.


THE GOALS

What success looks like

Automate SEO blog post creation with AI while maintaining quality and brand voice

Build a batch ad creation pipeline that generates multiple variations from video assets

Implement daily AI-powered ad performance reviews with actionable recommendations

Create a unified content engine that connects organic and paid channels


OUR APPROACH & SOLUTION

Building a content machine that runs itself

We assessed the marketing team's biggest bottlenecks and built AI systems around their existing workflow. Two systems in parallel: an AI content engine that multiplied their output, and an automated Meta Ads pipeline that caught problems the team didn't have time to catch.

Phase 1

AI Content Generation

Built an SEO content pipeline that generates targeted blog posts and social media content aligned with keyword strategy. AI produces drafts, a human reviews and approves, and the system handles publishing and distribution.

Phase 2

Batch Ad Creation Pipeline

Built a system that takes video assets and ad copy, clones the best-performing ad set configurations while preserving targeting, budget, and bid strategy, uploads new creatives, and generates GPT-powered multi-variation copy as paused drafts.

Phase 3

Daily AI Performance Reviews

Automated daily email reports with 7-day campaign, ad set, and ad-level metrics including video watch-through rates. AI analyzes performance and recommends specific actions like pausing underperformers, reallocating budget, and tweaking copy.

Phase 4

Cross-Channel Integration

Connected the content engine with the ads pipeline. High-performing blog topics inform ad messaging. Top social content gets amplified through paid ads. Everything feeds back into a unified performance dashboard.


KEY TAKEAWAYS & IMPACT

What changed for this business

8-10

Blog posts per week, up from 1-2

The organic content engine now produces 8-10 targeted SEO blog posts per week plus daily social content, up from 1-2 posts that the team was struggling to maintain. AI handles the first draft, humans handle quality control. Long-term organic traffic is now a real acquisition channel.

30%

Reduction in wasted ad spend

On the paid ads side, daily AI-powered reviews catch underperforming ads within 24 hours instead of letting them run for a week. Budget automatically flows toward what's converting. The Meta Ads pipeline now creates batch ad variations, generates multi-variation copy, and optimizes spend in near real-time.

Daily

AI-powered ad performance reviews

Every morning, the team gets an AI-generated report with specific recommendations for their Meta campaigns: pause underperformers, reallocate budget, tweak copy. Two distinct systems, both running on autopilot, both driving acquisition from different angles.

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