See through the eyes of AI
Simulate how Large Language Models (LLMs) read your content. Optimize your text for machine understanding.
How this LLM Simulator Works
This tool fetches your webpage and performs the exact same "text extraction" process used by models like GPT-4 and Claude. It strips away navigation, footers, ads, and scripts, leaving only the "core content" in Markdown format.
- Boilerplate Removal: We filter out the noise that distracts AI models.
- Markdown Conversion: We convert HTML tables to Markdown tables and lists to bullet points, as this is the native language of LLMs.
- Token Estimation: We estimate how many "tokens" your page consumes in an AI's context window.
Why it Matters for GEO
Context Window Economics
LLMs have limited memory (Context Window). If your page is cluttered with code, the AI might truncate your actual content. Optimizing for "Token Efficiency" ensures your whole article is read.
RAG Optimization
Retrieval-Augmented Generation (RAG) systems chop your content into chunks. If your headers and paragraphs aren't clear in Markdown, these chunks lose context, and you won't be cited in answers.
Davide Agostini
Android Mobile Engineer and Founder of ViaMetric. Davide specializes in technical SEO and the emerging field of Generative Engine Optimization (GEO), helping founders navigate the shift from links to AI citations.
Frequently Asked Questions
That's good! AI models don't care about your CSS colors or fancy animations. They only care about the text and the structure. If it looks clean and readable here, it's perfect for an AI.
Markdown is a lightweight markup language that AI models prefer over HTML. It's cleaner, uses fewer tokens, and clearly defines structure (headings, lists, bold text).
If text is missing, it might be generated by JavaScript after the page loads (Client-Side Rendering). Some crawlers (like standard GPTBot) might miss this content if they don't execute JS. This highlights a critical SEO issue.