How to Do SEO with Cody (2026 Guide)
Can You Do SEO with Cody?
Yes. Cody 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 Cody.
The key is giving Cody 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, Cody can query live keyword data from Google, Bing, and Reddit on demand.
Setting Up Cody for SEO
Step 1: Install Delulu9 MCP Server
Add the Delulu9 MCP server to your Cody configuration:
{
"mcpServers": {
"delulu9": {
"command": "npx",
"args": ["-y", "@delulu9/seo-mcp-server@latest"],
"env": {
"DELULU9_API_KEY": "your-api-key"
}
}
}
}
This gives Cody access to keyword research, Podcast SEO analysis, and Cosine Similarity scoring.
Step 2: Verify the Connection
Restart Cody 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 Cody
Keyword Research Workflow
Ask Cody:
- “Find 50 keyword ideas for [your niche] using Delulu9”
- “Filter these by commercial intent and low difficulty”
- “Group the winners into topic clusters”
- “Create a content brief for the top cluster”
This replaces hours of manual work with a 5-minute conversation.
Off-Page SEO Workflow
Cody can handle off-page seo when connected to the right data:
- Pull relevant metrics through MCP
- Analyze patterns the AI identifies
- Generate actionable recommendations
- Prioritize by impact and effort
On-Page SEO Workflow
For on-page seo, use Cody to:
- Fetch current data from connected tools
- Compare against competitors
- Identify gaps and opportunities
- Create an implementation plan
Content Optimization Workflow
Ask Cody to:
- Research target keywords for a page
- Analyze search intent behind each keyword
- Check what’s currently ranking (using web search)
- Generate optimization recommendations
- Write or improve the content directly
What Cody Can and Cannot Do for SEO
| SEO Task | Cody + MCP | Cody Alone |
|---|---|---|
| Off-Page SEO | Yes (live data) | Limited (no data) |
| On-Page SEO | Yes (with right MCP) | No |
| Content writing | Excellent | Good |
| Technical SEO | Yes (with data) | Guesswork only |
| Local SEO | Yes (with data) | No |
The pattern is clear: Cody is excellent at analysis and content creation, but needs data access through MCP to do real SEO work.
Cody vs Browser-Based SEO Tools
| Aspect | Cody + Delulu9 | Browser SEO Tools |
|---|---|---|
| Speed | Ask and get answers | Navigate, click, export |
| Cost | $12/mo (Delulu9) | $99-199/mo |
| Learning curve | Talk naturally | Learn each tool’s UI |
| Data sources | Google, Bing, Reddit | Usually Google only |
| Automation | Built into conversation | Separate automation setup |
| Context switching | None | Constant tab switching |
Tips for Better SEO Results in Cody
- Be specific with prompts. Instead of “find keywords,” say “find long-tail keywords for [industry] with commercial intent and difficulty under 30”
- Chain queries. Build on previous results within the same conversation
- Ask for sources. When Cody makes claims about SEO, ask it to verify with live data from Delulu9
- Save workflows. When you find a prompt sequence that works well, save it for reuse
- Combine tools. Use multiple MCP servers for a complete SEO toolkit
Common Cody SEO Mistakes
- Trusting AI-generated SEO advice without data backing. Always verify with live keyword data.
- Using Cody 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
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