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ai-seo

Automate AI-driven SEO planning and execution for programmatic content.

Updated Jun 18, 2026
Search Tags:#content-generation#keyword-research#programmatic-seo#seo-automation#dataforseo#ai-seo#ai-overviews
One-click install
npx skills add https://github.com/rodrigotoledo/trading-exchange --skill ai-seo-rodrigotoledo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/rodrigotoledo/trading-exchange/tree/main/packages/skills-catalog/skills/%28gtm%29/ai-seo
Command: npx skills add https://github.com/rodrigotoledo/trading-exchange --skill ai-seo-rodrigotoledo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-powered SEO planning and execution at scale for programmatic content, enabling teams to deploy data-driven keyword strategies, templates, and AI-generated pages with consistent quality.

Core Features & Use Cases

  • AI SEO stack and tool selection guidance (DataForSEO MCP, Frase, Surfer, SE Ranking, Rankability)
  • Programmatic page patterns and GEO optimization for scalable content production
  • AI Overviews tracking and cross-platform citation monitoring to improve AI visibility

Quick Start

Provide a structured prompt to initiate an AI-driven SEO workflow from keyword research to published pages.

Frequently Asked Questions about ai-seo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate programmatic SEO content generation at scale?▼

Automate programmatic SEO by deploying data-driven keyword strategies, page templates, and AI-generated pages with consistent quality. This requires MCP data sources, CMS integration, and quality controls like schema markup and internal linking.

What is AI Overviews tracking and how does it improve search visibility?▼

AI Overviews tracking is the process of monitoring cross-platform citations to improve AI visibility. It tracks how often your programmatic content is cited by AI overviews across various search platforms and data sources.

How do I set up an AI SEO workflow from keyword research to published pages?▼

Initiate an AI SEO workflow by providing a structured prompt that guides the process from keyword research to published pages. The workflow integrates DataForSEO MCP, CMS platforms, and quality controls for scalable content production.

Do I need MCP data sources and CMS integration for programmatic SEO automation?▼

Yes, MCP data sources and CMS integration are required for programmatic SEO automation. These dependencies enable automated page generation, structured data application, and direct publishing of AI-driven content.

What is the best way to optimize programmatic page patterns for GEO?▼

Optimize programmatic page patterns for GEO by applying structured templates designed for scalable content production. This approach ensures consistent quality controls, schema markup, and internal linking across generated pages.

Can I use DataForSEO MCP with tools like Frase and Surfer for AI SEO?▼

Yes, DataForSEO MCP integrates with AI SEO stacks alongside tools like Frase, Surfer, SE Ranking, and Rankability. This guides tool selection for executing data-driven keyword strategies and programmatic content optimization.

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