Koko SEO/GEO/LLMO/AEO: Technical Analysis and Application Value of an All-in-One Content Audit Tool

An in-depth analysis of the open-source Codex Skill developed by murilo-koko, which integrates four optimization dimensions—SEO, GEO, AEO, and LLMO—to provide marketers, founders, and content creators with a practical audit solution that does not require external APIs.

With the rise of generative AI, traditional Search Engine Optimization (SEO) is undergoing a profound transformation. Users no longer just search for information via keywords; instead, they directly ask AI assistants like ChatGPT and Claude questions and get synthesized answers. This shift has given birth to three emerging fields:

• GEO (Generative Engine Optimization): Optimize content to improve visibility in AI-generated answers
• AEO (Answer Engine Optimization): Structured optimization for answer engines
• LLMO (Large Language Model Optimization): Help large language models better understand and reference your content

However, most existing tools are still stuck at the traditional SEO level, lacking comprehensive consideration of search forms in the AI era. The koko-seo-geo-llmo-aeo developed by Brazilian marketing technology expert Murilo Souza was created to address this pain point.

This is a public Skill designed specifically for Codex CLI, with its core positioning being to integrate scattered technical audits into actionable deliverables. Unlike traditional SEO tools, it does not pursue complex data dashboards; instead, it focuses on answering one core question: "How does my content perform across the four dimensions of SEO, GEO, AEO, and LLMO, and where do I need to prioritize fixes?"

The tool's design philosophy emphasizes practicality over technical showmanship. It can complete audits without relying on external APIs (such as Search Console or Google Analytics), meaning even small teams without advanced data analysis resources can get professional-level optimization suggestions.

Users can input any URL or paste a content draft, and the system will generate results from four dimensions:

• Audit Snapshot: Quick health snapshot
• Dimension Scores: Performance evaluation for SEO, GEO, AEO, and LLMO respectively
• Strength Identification: Elements in the content that perform strongly
• Vulnerability Diagnosis: Specifically point out "where traffic/visibility is being lost"
• Fix Priority Roadmap: Improvement actions sorted by impact

This output format is particularly suitable for marketing consultants who need to present audit results to clients or teams.

When a website has multiple pages on similar topics, internal competition (cannibalization) can dilute search performance. The tool supports comparing 2-5 URLs simultaneously, outputting:

• Overlap score
• Risk level label
• Theme positioning suggestions for each page to "own"

This is especially valuable for content strategy planning—helping teams clarify the differentiated positioning of different pages.

Starting from the homepage, the tool can crawl a small number of internal pages (up to 5 pages by default) to identify structural issues. Although not as comprehensive as professional crawlers, it is sufficient to find:

• Navigation structure flaws
• Internal linking opportunities
• Duplicate content risks

For the LLMO dimension, the tool checks:

• Whether an llms.txt file exists (a website summary for AI to read)
• Whether the content contains structured blocks that are easy to reference
• Whether FAQ and list structures are optimized

These signals directly affect the likelihood that AI assistants will reference your content when generating answers.

The tool natively supports generating:

• Public Scorecard: A visual scorecard suitable for screenshot sharing
• Carousel Summary: A summary in Instagram carousel format

This design reflects the reality of modern content marketing—audit results often need to be transformed into social media assets.