I optimize content for AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. My work focuses on making websites more visible in AI-generated responses through strategic content structuring, schema implementation, and answer-first optimization.
I've built proprietary tools to automate the AEO audit and implementation process, allowing me to quickly identify gaps, prioritize fixes, and measure results. I understand what makes content citable by AI engines because I've studied successful implementations and reverse-engineered the patterns.
Real-World Case Study: Educational Content Optimized for AI Engines
Designed and implemented a comprehensive AEO strategy for an educational site about AI concepts. This project demonstrates my ability to take existing content and restructure it for maximum AI visibility while maintaining quality and readability.
Answer quality is the single most important factor as it accounts for 40% of the AEO score. Perfect schema and structure won't drive AI citations if the content doesn't directly answer questions. This project proved that proper AEO actually improves readability rather than compromising it. Direct answers benefit both AI engines and human readers.
Proprietary Audit Tool - Web App + Chrome Extension
Built a comprehensive analysis tool that scores any webpage 0-100 on AEO readiness. This is my primary audit tool for AEO work. It identifies gaps in schema, FAQ structure, question formatting, answer quality, and content depth in seconds.
AI-Powered Deep Analysis Tool
Advanced audit tool that uses local AI (Ollama) to understand content semantically and generate context-specific recommendations. Goes beyond pattern matching to evaluate whether pages actually answer the questions they should.
JSON-LD Schema Generator
Streamlined tool for generating valid structured schema markup. Reduces schema implementation time from hours to minutes with pre-built templates for 12 common content types.
I've studied what actually works by analyzing sites that consistently get AI citations. I've reverse-engineered their approaches and identified the patterns that drive results.
My tools aren't just software projects, they're based on research into how ChatGPT, Perplexity, and Google AI Overviews select sources. The weighted scoring system (answer quality = 40%, schema = 15%, etc.) reflects what I've observed about what matters most for citations.
I can audit a site quickly using my scanner, identify the highest-impact optimizations, implement schema and content changes, and measure the results. I built these tools because they solve real AEO workflow problems.