İbrahim Göktaş

I help businesses get discovered, cited, and recommended by AI engines — ChatGPT, Gemini, Perplexity, Claude, and Grok. I work as an AI Domain Trainer for one of the world's leading frontier AI laboratories. My job is to evaluate, refine, and stress-test how models handle expert-level knowledge: where they retrieve information from, which sources they trust, and why they cite one business and ignore another. In daily practice that means running side-by-side evaluations of model responses, hunting hallucinations and flawed inferences, and verifying how well answers stay grounded in real source data. Much of this work is on multi-turn conversations in Turkish, where I test how models weave contextual data into answers that sound natural instead of robotic. Watching that process from the inside changed how I see the internet. The world is no longer searching on Google alone — it is asking AI. And most businesses are invisible in those answers. That is the problem I solve. I specialize in GEO (Generative Engine Optimization) and Search RAG architectures, and I developed AIVI, a five-layer framework for measuring and improving how visible, trusted, and citable a brand is inside AI-generated answers. Website: ibrahimgoktas.com