How to Do SEO with GitHub Copilot (2026 Guide)

Can You Do SEO with GitHub Copilot?

Yes. GitHub Copilot becomes a powerful SEO tool when you connect it to data through MCP servers. Instead of switching between browser-based SEO tools and your editor, you run keyword research, content analysis, and technical audits directly in GitHub Copilot.

The key is giving GitHub Copilot access to real SEO data. Without an MCP server, the AI can only work with what you paste into the conversation. With an MCP server like Delulu9, GitHub Copilot can query live keyword data from Google, Bing, and Reddit on demand.

Setting Up GitHub Copilot for SEO

Step 1: Install Delulu9 MCP Server

Add the Delulu9 MCP server to your GitHub Copilot configuration:

{
  "mcpServers": {
    "delulu9": {
      "command": "npx",
      "args": ["-y", "@delulu9/seo-mcp-server@latest"],
      "env": {
        "DELULU9_API_KEY": "your-api-key"
      }
    }
  }
}

This gives GitHub Copilot access to keyword research, Content Marketing analysis, and Job Listings scoring.

Step 2: Verify the Connection

Restart GitHub Copilot and test:

"Can you check Delulu9 connection? Search for 'keyword research tools' and show the results."

If it returns keyword data with search volumes and intent classifications, you’re set.

SEO Workflows in GitHub Copilot

Keyword Research Workflow

Ask GitHub Copilot:

1. “Find 50 keyword ideas for [your niche] using Delulu9”
2. “Filter these by commercial intent and low difficulty”
3. “Group the winners into topic clusters”
4. “Create a content brief for the top cluster”

This replaces hours of manual work with a 5-minute conversation.

Rank Tracking Workflow

GitHub Copilot can handle rank tracking when connected to the right data:

• Pull relevant metrics through MCP
• Analyze patterns the AI identifies
• Generate actionable recommendations
• Prioritize by impact and effort

Site Auditing Workflow

For site auditing, use GitHub Copilot to:

• Fetch current data from connected tools
• Compare against competitors
• Identify gaps and opportunities
• Create an implementation plan

Content Optimization Workflow

Ask GitHub Copilot to:

1. Research target keywords for a page
2. Analyze search intent behind each keyword
3. Check what’s currently ranking (using web search)
4. Generate optimization recommendations
5. Write or improve the content directly

What GitHub Copilot Can and Cannot Do for SEO

The pattern is clear: GitHub Copilot is excellent at analysis and content creation, but needs data access through MCP to do real SEO work.

GitHub Copilot vs Browser-Based SEO Tools

Tips for Better SEO Results in GitHub Copilot

1. Be specific with prompts. Instead of “find keywords,” say “find long-tail keywords for [industry] with commercial intent and difficulty under 30”
2. Chain queries. Build on previous results within the same conversation
3. Ask for sources. When GitHub Copilot makes claims about SEO, ask it to verify with live data from Delulu9
4. Save workflows. When you find a prompt sequence that works well, save it for reuse
5. Combine tools. Use multiple MCP servers for a complete SEO toolkit

Common GitHub Copilot SEO Mistakes

• Trusting AI-generated SEO advice without data backing. Always verify with live keyword data.
• Using GitHub Copilot for SEO without MCP servers. It’s guessing without data.
• Asking for “top keywords” without specifying intent, difficulty, or niche
• Not verifying the AI’s keyword suggestions against real search volumes

Related Guides

• MCP for Rank Tracking
• MCP for Site Auditing
• SEO with Cody
• SEO with ChatGPT

Start Doing SEO in GitHub Copilot

Connect Delulu9 to GitHub Copilot and unlock keyword research from Google, Bing, and Reddit. $12/mo, setup takes 2 minutes.