---
title: ToolRouter — Use Case
description: Step-by-step guide for a real-world ToolRouter use case with agent-specific instructions.
url: https://toolrouter.com/tools/geo/use-cases/audit-content-for-llms
---
# Audit Content for LLM Readability

LLMs process content differently than human readers. They parse structured data, headings, lists, and clear factual statements more effectively than long prose paragraphs. Content that reads well to humans may be poorly structured for AI extraction.

The audit_content skill analyzes your pages for LLM readability factors: heading hierarchy, structured data markup, factual density, citation-worthy statements, and content organization. It identifies specific improvements that would make your content easier for AI systems to parse, cite, and recommend.

As AI search grows, content that is easy for LLMs to understand gets cited more often in AI-generated responses. This audit shows you exactly where your content falls short and what to fix. It is the diagnostic step before optimization.

**Tool:** [GEO](https://toolrouter.com/tools/geo)
**Skills:** audit_content

## Agent Guides

- [How to Audit Content for LLMs with Claude](https://toolrouter.com/tools/geo/use-cases/audit-content-for-llms/claude): Guide for Claude
- [How to Audit Content for LLMs with ChatGPT](https://toolrouter.com/tools/geo/use-cases/audit-content-for-llms/chatgpt): Guide for ChatGPT
- [How to Audit Content for LLMs with Copilot](https://toolrouter.com/tools/geo/use-cases/audit-content-for-llms/copilot): Guide for Copilot
- [How to Audit Content for LLMs with OpenClaw](https://toolrouter.com/tools/geo/use-cases/audit-content-for-llms/openclaw): Guide for OpenClaw
