AI Search & LLM Readiness
Independent research and open tooling for teams who want to understand how LLMs read, extract, and represent their content. Built by Richie Sanchez.
The toolkit
Each tool isolates a specific question about LLM visibility and AI search readiness.
Compare what LLM crawlers see in response HTML vs. what a browser renders — across six technical dimensions. Get a scored report with prioritized fixes.
See which AI-generated prompts cite your page and which don't — mapped to real search demand and ranked citation results across competitors.
Deep-dive structured data analysis — validate, score, and recommend schema markup optimized for AI and knowledge graph extraction.
About the work
These tools come out of years spent at the intersection of technical SEO, search engineering, and applied AI research. The AI search landscape is changing how content gets discovered — and most teams have no visibility into it.
Stereo Argento is where that research becomes usable tooling.
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