How To Automate an SEO Agency with 15 AI Agents (No-Code)

Tutorial: Building a Multi-Agent AI System for SEO Content Automation

Step 1: Overview of the Project

• Objective: Automate the entire content process for SEO agencies using a 15-agent AI system.
• System Capabilities:
  • In-depth topic and keyword research.
  • Competitor analysis.
  • Content briefing and writing tailored to brand tone.
  • Integration with product databases for internal linking.
  • Automatic publishing of blogs, product reviews, and landing pages.

Step 2: Tools Required

• Relevance AI: A no-code AI agent builder.
• Make.com: An automation platform for integrations.
• AirTable or ClickUp: CRM for triggering and managing workflows.
• Optional Tools:
  • SEMRush for keyword research.
  • Google Search API for web scraping.
  • Perplexity AI API for extended research.

Step 3: Setting Up the System

1. Input Collection: CRM Integration

• Use AirTable or ClickUp to collect and organize content requirements such as:
  • Client Website URL.
  • Topic (e.g., “Best Nike Running Shoes”).
  • Content Type: Blog, product review, category page, etc.
  • Keywords and Competitor Information.
• Set up an automation trigger (e.g., a checkbox) to initiate the workflow.

2. Layered Agent System

• Director Agent: Orchestrates the workflow and updates CRM.
• Manager Agents: Oversee specific stages (e.g., research, content briefing).
• Sub-Agents: Perform detailed tasks like keyword analysis, topic research, and competitor scraping.

Step 4: Workflow Breakdown

A. Research Phase

1. Keyword Research Agent:
   • Uses SEMRush to find high-ROI keywords.
   • Identifies top-ranked competitor articles.
2. Topic Research Agent:
   • Performs in-depth research via Google scraping and APIs.
3. Competitor Research Agent:
   • Analyzes competitor strategies and suggests content improvements.

B. Content Brief Creation

• Content Brief Manager delegates tasks based on content type:
  • Blog posts, category pages, product reviews, etc.
• Brief includes:
  • Target audience.
  • Keywords and structure.
  • Internal and external linking suggestions.

C. Content Writing

1. Content Drafter:
   • Creates an initial draft based on the brief.
   • Incorporates product-specific details (e.g., prices, features).
2. Final Content Writer:
   • Polishes the draft.
   • Adds images, tables, and internal links from the product database.

D. Publishing

• SEO Director publishes content via integrations (e.g., Webflow, WordPress).

Step 5: Key Integrations

Relevance AI:

• Build agents and assign roles for tasks like research, writing, and publishing.

Make.com:

• Set up HTTP modules to trigger AI agents.
• Automate actions like posting to a client’s CMS.

AirTable Automation:

• Create a script to trigger a webhook in Make.com when a row is updated.

Step 6: Cost and Performance Impact

• Traditional output: ~150 articles in 2.5 months at $50 each.
• Automated system output: 150 articles per day at $1.50 each.

Step 7: Testing and Optimization

• Test workflows with sample data.
• Monitor for errors (e.g., image placement or publishing issues).
• Iterate based on client feedback.

Blog Post: Revolutionizing SEO Content Creation with AI Automation

The rise of AI has transformed industries, and SEO content creation is no exception. For agencies managing multiple clients, the challenge has always been balancing volume, quality, and cost. This blog explores how we automated the entire content process for an SEO agency specializing in e-commerce, using a 15-agent AI system.

The Problem

Traditionally, creating high-quality SEO content is labor-intensive:

• Keyword research requires expensive tools like SEMRush.
• Writers must produce briefs, draft articles, and optimize them for SEO.
• Publishing requires manual effort across multiple platforms.

This process can take weeks and significantly impact scalability.

Our Solution: A 15-Agent AI System

By leveraging tools like Relevance AI and Make.com, we built a multi-layered system that automates every step of the content workflow. Here’s how it works:

The System in Action

1. In-Depth Research:
   • AI agents perform keyword analysis and competitor research, ensuring the content is data-driven.
   • Insights are gathered automatically from Google and SEMRush, saving hours of manual labor.
2. Content Briefing:
   • Specialized agents create detailed briefs tailored to the type of content (e.g., blogs, category pages).
   • Briefs include competitor insights, internal linking opportunities, and tone guidelines.
3. AI-Driven Writing:
   • Content is drafted and finalized by AI agents trained on brand-specific data.
   • Integrated with product databases, these agents add internal links, pricing details, and images seamlessly.
4. Automated Publishing:
   • Articles are automatically posted to platforms like WordPress, Webflow, or Shopify.

The Results

• Volume: 150 articles/day (vs. 150 articles/2.5 months traditionally).
• Cost: $1.50 per article (down from $50).
• SEO Impact: Clients saw a 2-3x increase in daily clicks within months.

Why It Works

• Multi-layered agent systems ensure quality by mimicking the workflow of human teams.
• Tools like Relevance AI allow easy customization of tasks, while Make.com simplifies integrations.

Get Started

Are you ready to scale your SEO efforts? Try these tools:

• Relevance AI: Build custom AI agents effortlessly.
• Make.com: Automate your integrations for maximum efficiency.

Contact us for a free consultation to see how AI can revolutionize your content strategy.