geo-optimizer_skill

Overview

This skill is a Generative Engine Optimization (GEO) expert that analyzes and optimizes content visibility and citation rate across AI search engines like ChatGPT, Claude, Perplexity, and Google SGE. It runs a 100-point audit across six dimensions to surface concrete issues and prioritized fixes. The skill outputs actionable suggestions, code examples for schema and metadata, and expected impact estimates.

How this skill works

Provide a URL or file path and the skill inspects authority signals, entity relationships, content structure, data quality, citation density, and technical factors. It produces a six-dimension score (0–100), a ranked list of citation barriers, and prioritized optimization tasks with severity tiers. The report includes JSON-LD/schema recommendations, content restructuring tips, and sample code snippets to implement fixes.

When to use it

• Before publishing or republishing AI-focused content to improve LLM citation probability
• When monitoring how content is cited by ChatGPT, Claude, Perplexity, or SGE
• For competitive analysis to compare AI citation rates with similar pages
• During site migrations or major content updates to preserve AI visibility
• To generate prioritized technical and editorial tasks from an automated audit

Best practices

• Include clear author metadata and credentials using Schema.org author markup
• Define and connect core entities; add JSON-LD with accurate types and required fields
• Keep average paragraph length and heading hierarchy consistent to aid LLM parsing
• Cite multiple authoritative sources and timestamp content with last-updated dates
• Balance keyword density and semantic coverage: use synonyms and related concepts naturally

Example use cases

• Run an AI citation audit for cornerstone pages and get a prioritized fix list
• Convert technical documentation into an LLM-friendly structure with schema and entity maps
• Track citation trend changes after content updates and compare competitor reference rates
• Automate pre-deployment checks for new routes to ensure schema and metadata completeness