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geo-writer

Optimize public-facing text for LLM-based search with JSON-LD schema.

2|Updated Mar 19, 2026
Search Tags:#schema#content-optimization#seo#geo#aeo#llm-citation
One-click install
npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill geo-writer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: geo-writer
Source: https://github.com/alex-voloshin-dev/ai-skills/tree/main/.windsurf/skills/geo-writer
Command: npx skills add https://github.com/alex-voloshin-dev/ai-skills --skill geo-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of content invisibility in AI-driven search engines like ChatGPT, Perplexity, and Google AI Overviews by structuring text for machine extraction rather than just human reading.

Core Features & Use Cases

  • Structural Optimization: Applies the GEO-SFE framework to ensure content is chunked into extractable, answer-first sections.
  • Schema Integration: Automatically generates and validates JSON-LD schema (Article, FAQPage, HowTo) to boost entity graph authority.
  • Use Case: Use this when drafting pillar pages, blog posts, or technical documentation that you want to be cited as a primary source by LLMs.

Quick Start

Use the geo-writer skill to optimize the current draft for AI search visibility and generate the required schema markup.

Frequently Asked Questions about geo-writer

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

FAQPage Schema
How do I optimize my blog posts for AI search engines like ChatGPT and Perplexity?▼

You optimize content for AI search by restructuring text into extractable, answer-first chunks and implementing mandatory JSON-LD schema, which increases machine extractability and LLM citation rates.

What is Generative Engine Optimization and how does it differ from traditional SEO?▼

Generative Engine Optimization focuses on structuring text for machine extraction rather than just human reading, using meso-chunking and micro-emphasis to secure citations in AI-driven search results.

How do I add JSON-LD schema to technical guides for better answer engine visibility?▼

You add schema by generating and validating Article, FAQPage, or HowTo JSON-LD markup within your technical guides, which boosts entity graph authority and improves answer engine citation rates.

Can I use this to optimize existing landing pages for LLM-based search citations?▼

Yes, you can optimize existing landing pages by applying the GEO-SFE framework to restructure content into extractable sections and generating the required JSON-LD schema for high entity clarity.

What is the best way to structure pillar pages for answer engine optimization?▼

The best way to structure pillar pages for answer engine optimization is applying macro-structure and meso-chunking to create answer-first sections, ensuring high extractability for LLM-based search queries.

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