ai-seo

Generate programmatic SEO plans with keyword research and schema markup.

72|10|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/chadboyda/agent-gtm-skills --skill ai-seo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-seo
Source: https://github.com/chadboyda/agent-gtm-skills/tree/main/skills/ai-seo
Command: npx skills add https://github.com/chadboyda/agent-gtm-skills --skill ai-seo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the design and execution of scalable, AI-powered SEO campaigns, covering keyword research, programmatic page generation, and AI-driven optimization to improve organic visibility.

Core Features & Use Cases

  • AI-driven keyword research and MCP-powered workflows for programmatic pages across CMSs.
  • GEO scoring and AI Overviews integration to improve AI-driven search visibility and reliability.
  • End-to-end content pipeline: data sources (DataForSEO, SE Ranking), templated pages, and structured data for rich results.

Quick Start

Generate a programmatic SEO plan for a new product using DataForSEO, GEO concepts, and an MCP-driven keyword calendar.

Frequently Asked Questions about ai-seo

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

FAQPage Schema
How do I scale programmatic SEO pages for organic visibility?

Yes, DataForSEO MCP workflows support programmatic SEO by feeding keyword research data directly into your content pipeline. This integration allows you to automate keyword discovery and plan content calendars using MCP-driven workflows.

What is GEO scoring and how does it improve AI Overviews visibility?

GEO scoring evaluates content reliability and relevance for AI-driven search engines. Integrating GEO scoring with AI Overviews optimization helps improve your organic visibility and reliability within AI-generated search results.

How do I generate a programmatic SEO plan using MCP workflows?

You generate a programmatic SEO plan by running DataForSEO through MCP workflows to build a keyword calendar. This MCP-driven process outputs templated pages with structured data ready for publication across CMS platforms.

Does this programmatic SEO workflow support structured data for rich results?

Yes, the programmatic SEO workflow supports structured data and schema markup for rich results. The templated content pipeline outputs 500-1,000 word pages equipped with schema to enhance search visibility and AI Overviews integration.

Can I use SE Ranking data sources for AI-powered SEO competitor analysis?

Yes, SE Ranking can be used as a data source alongside DataForSEO for AI-powered SEO competitor analysis. These data sources feed into the end-to-end content pipeline to inform your programmatic page generation and optimization strategy.