n8n Agentic Army

Background

Omnius is a B2B SEO & AI Search marketing agency based in Europe, specializing in SaaS and Fintech companies. They've built a reputation for driving serious organic growth, taking clients from zero to millions of organic visitors through strategic content and search optimization.

As a content-driven agency, Omnius faces a familiar paradox: the more clients they win, the more content they need to produce. And content is not just blog posts anymore. It's LinkedIn carousels, Twitter threads, YouTube summaries, WordPress articles, and AI-optimized snippets designed to show up in ChatGPT and Perplexity answers.

Omnius needed a system that could handle the research, ideation, drafting, and distribution, while keeping humans in control of quality and brand voice.

The Challenge

The Topic Discovery Problem

For an agency serving multiple B2B clients, content research is not a one-time task. It is a continuous operation that has to be good.

• Multi-Client Research Load: Each client operates in a different niche. Research for one does not apply to another.
• Real-Time Relevance: The best topics have a short shelf life. Trending conversations need immediate action.
• Format Intelligence: It is not just what to write, but how. A topic might be a blog post for one platform, a carousel for another.
• The Expertise Asymmetry: Strategists are SEO experts, not industry experts. They need to get up to speed on niche topics quickly.

The Content Scaling Problem

• Platform-Specific Adaptation: Manually reformatting content for LinkedIn, WordPress, and X is a bottleneck.
• The Approval Bottleneck: Email chains and document hunting for approvals slow down publishing.
• Visual Asset Creation: Manual design requests create a queue and add delays.
• Distribution Fragmentation: Logging into multiple platforms to publish is inefficient.

The Solution

We built an Agentic Content Army. A multi-stage n8n workflow that automates the entire content pipeline from topic discovery to published posts, with human review at the critical quality checkpoint.

Phase 1: Analyze YouTube & X for Topics and Content The workflow scrapes YouTube and X, analyzes content using AI to identify trending topics, high-performing formats, content gaps, and unique angles. This replaces hours of manual research with deep, automated competitive intelligence.

Phase 2: Generate Channel-Specific Content Informed by the research, a "Post Writer" agent drafts content tailored for each platform (LinkedIn, WordPress, etc.), maintaining brand voice and strategic positioning.

Phase 3: Human-in-the-Loop Review & Automated Distribution Drafts are compiled into a Google Doc for easy review. Upon approval, the workflow automatically generates visuals and publishes the content across all designated channels.

Impact

The Content Army did not just save time; it multiplied the quality and strategic value of the research itself, transforming how Omnius delivers value to its clients.

Before vs. After

– Matija Golubović, Founder at Omnius

Why Human-in-the-Loop Matters

• Quality Assurance: AI drafts, but humans ensure brand voice, accuracy, and strategic alignment.
• Client Trust: The review gate prevents publishing incorrect or off-brand content.
• Research Validation: Humans validate whether AI-identified trends are relevant to specific clients.
• Continuous Improvement: Each review generates feedback that improves the AI agents over time.

Next Steps

• Analytics Feedback Loop: Automatically feed content performance back into the research phase to create a self-improving system.
• Multi-Client Scaling: Template the workflow for rapid deployment across Omnius's full client roster.
• Predictive Topic Intelligence: Use historical data to predict which topics will trend before they peak.

Technology Stack