seo-geo

Analyze content for AI discoverability and citability across Google AI Overviews, ChatGPT, and Perplexity.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/bolun-ben-ship/RightClickAI-seo-workspace --skill seo-geo-bolun-ben-ship
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seo-geo
Source: https://github.com/bolun-ben-ship/RightClickAI-seo-workspace/tree/main/seo-workflow/seo-geo
Command: npx skills add https://github.com/bolun-ben-ship/RightClickAI-seo-workspace --skill seo-geo-bolun-ben-ship

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI-driven search experiences (AI Overviews, ChatGPT web search, Perplexity) often struggle with consistent citability and platform-specific optimization. This Skill provides a GEO framework to assess and improve how content is discovered, cited, and surfaced by AI crawlers.

Core Features & Use Cases

  • GEO Analysis Criteria: Measures citability, structural readability, and multi-modal content support to maximize AI citations.
  • Platform-Specific Optimization: Aligns content to Google AI Overviews, ChatGPT, and Perplexity with signals like brand mentions and authoritative sources.
  • Operational Readiness: Recommends SSR, robots.txt, and llms.txt readiness to improve AI crawler access and indexing.

Quick Start

Run a GEO analysis on your latest content to generate platform-specific optimization recommendations.

Frequently Asked Questions about seo-geo

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

FAQPage Schema
How do I optimize content for AI search engines like Google AI Overviews and Perplexity?

To optimize content for AI search engines, apply GEO optimization to improve citability and structural readability. This involves aligning brand mentions and authoritative signals to platform-specific requirements for Google AI Overviews, ChatGPT, and Perplexity.

What is GEO optimization and how does it improve AI discoverability?

GEO optimization is a framework to assess and improve how content is discovered and cited by AI crawlers. It measures citability, structural readability, and multi-modal content support to maximize AI citations across major search experiences.

Do I need llms.txt and robots.txt to ensure reliable AI indexing?

Yes, you need llms.txt and robots.txt for reliable AI indexing. Operational readiness requires configuring these alongside SSR to improve AI crawler access and ensure your content is consistently indexed by AI search platforms.

How do I make my website content more citable for ChatGPT web search?

To make website content more citable for ChatGPT web search, apply GEO criteria to enhance structural readability and multi-modal content support. Optimizing brand mentions and authoritative sources aligns your content with platform-specific AI citation signals.

What's the best way to analyze content opportunities for AI-driven search?

The best way to analyze content opportunities for AI-driven search is running a GEO analysis. This generates platform-specific optimization recommendations by evaluating technical readiness, multi-modal support, and citability across target search experiences.

Does server-side rendering affect AI crawler access and indexing?

Server-side rendering directly affects AI crawler access and indexing. Implementing SSR ensures reliable content rendering for AI crawlers, which is a required structural readiness step to maximize your discoverability across AI search platforms.