Independent writer on AI search and GEO.
Founder and engineer of TurboAudit. Previously full-stack developer at Tor.app. Writes about how content structure, schema markup, E-E-A-T signals, and crawler accessibility determine whether AI models cite a page or ignore it entirely.
Ibrahim Furkan Ozcelik is an independent writer working at the intersection of technical SEO, large language model behavior, and web infrastructure. He focuses on Generative Engine Optimization (GEO) — the discipline of getting content included inside AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude.
Furkan is the founder and engineer of TurboAudit, an AI search visibility platform he designed and built from the ground up. TurboAudit audits web pages across seven dimensions — indexability, snippet CTR, intent value, trust, schema, AI citeability, and risk — using 250+ checks, runs site-wide crawls, and tracks AI monitoring across ChatGPT, Perplexity, Gemini, and Claude.
Before TurboAudit, he worked as a full-stack developer at Tor.app, where he developed experience shipping production-grade software at scale. His writing on this site covers AI search visibility — specifically how content structure, schema markup, E-E-A-T signals, and crawl accessibility determine whether AI models cite a page or ignore it entirely.