Skip to main content

🛠️ How-To Guide: End-to-End Technical SEO Fixes Using the Auto Agent

This guide walks through the complete workflow, from audit to live deployment.

Updated today

The Auto Agent enables teams to move beyond the slow, manual process of identifying, editing, and deploying on-page SEO fixes. Instead of reviewing reports and pushing changes by hand, users can execute technical SEO improvements end-to-end using Search Atlas Brain’s execution engine, often in minutes ⚡

🔍 Step 1: Initiating the Automated Audit

1️⃣ Select Your Project and Agent


From the Agent Hub, select the project you want to optimize and confirm that the Auto Brain agent is active.

2️⃣ Enter a Simple Command


Start the chat with a basic prompt, no prompt engineering required.


Example:

“Auto, show me title tag opportunities.”

3️⃣ Review the Agent’s Thought Process


Immediately after submission, the agent exposes its internal reasoning 🧠, showing how your natural language request is translated into a formal execution task.

📊 Step 2: Reviewing and Refining Recommendations

The Auto Agent presents actionable recommendations and enables real-time quality control.

1️⃣ Analyze the Output Table


Results are displayed in a clean, structured table showing:

  • Current title tag

  • Recommended title tag

  • Deployment status (e.g., Ready to deploy)

2️⃣ Request a Quality Check (QA Layer)


You can instruct the agent to review and improve its own output.


Example prompt:

“Evaluate the quality of these title tag suggestions and present new ones if the old ones aren’t strong.”

3️⃣ Review Revisions and Rationale


The agent explains what it is changing and why ✍️, then presents revised recommendations, explicitly calling out what was improved compared to the previous version.

This step highlights the agent’s role as both strategist and QA layer, ensuring high-quality execution before deployment.

🚀 Step 3: Deployment (Fulfillment Orchestration)

Once recommendations are approved, deployment happens immediately.

1️⃣ Issue the Deployment Command


Example:

“Proceed with pushing these new title tags to the pages.”

2️⃣ Rapid Execution


The agent acts as a fulfillment orchestrator, not just a suggestion engine. Approved changes are physically deployed to the live site, tasks that previously took days or weeks are completed in minutes ⏱️

3️⃣ Deployment Confirmation


The agent confirms that updates have been successfully applied to the website ✅

🧩 Step 4: Executing a Full Onpage Playbook

For broader and deeper optimization, the Auto Agent can run a complete Onpage Playbook.

1️⃣ Run a Full Technical Audit


The Onpage Playbook executes a comprehensive technical audit and automatically fixes priority issues across the site.

2️⃣ Action Plan and Artifacts


The agent generates a detailed artifact 📄 outlining:

  • Issues identified (title tags, meta descriptions, alt text, internal linking, etc.)

  • Actions taken

  • Remaining optimization opportunities

3️⃣ Strategic Context and Impact


The artifact explains why changes were made and the expected SEO impact, ensuring execution aligns with strategy, not just technical cleanup.

4️⃣ Deployment Verification


After completion, the system confirms that key elements (meta descriptions, heading lengths, title tags) have been optimized and deployed live 🔐

With the Auto Agent, technical SEO shifts from manual review and delayed execution to fast, controlled, and verifiable deployment.

Teams can:

  • Fix issues faster

  • Maintain strategic oversight

  • Scale optimization without scaling effort

All while keeping execution transparent, auditable, and aligned with SEO goals 🚀

Did this answer your question?