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Metehan Yesilyurt

Metehan Yesilyurt

SEO & AI/ML researcher and growth leader

Ankara, Turkey
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Joined June 2026
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Summary

Researcher of AI-driven search and citation systems: He conducts empirical studies on how LLMs (ChatGPT, Grok, Perplexity, etc.) generate and use hidden subqueries (query fanouts) and how those signals—combined with Reciprocal Rank Fusion—determine which web sources LLMs cite and surface. peec+1
Practitioner blending SEO with AI/ML: He applies traditional SEO and technical skills to new AI visibility problems (AEO/GEO), advising and building growth strategies that align organic search expertise with AI search behaviors. searchengineland+1
Builder of tooling and datasets for AI visibility research: He has developed and maintained public tooling (webgraph.metehan.ai) and integrations with Common Crawl data to measure and improve AI visibility and ranking signals. metehan+1
Active communicator and community contributor: He writes (Substack, Medium), authors analyses, speaks at conferences, and participates in podcasts to share methods and findings about SEO, AI search, and visibility optimization. substack+2

Work

Education

Projects

Writing

LLM Knowledge Cutoff Dates (fact-checked list)

June 1, 2026

A researched list of major model knowledge cutoff dates and related metadata for various LLMs (June 2026 compilation).

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Patterns we see in ChatGPT query fanouts

May 1, 2026

Analysis of how ChatGPT and other LLMs generate hidden subqueries ('query fanouts'), how that affects source selection (Reciprocal Rank Fusion), and implications for SEO/AEO/GEO visibility.

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Metehan’s SEO & AI/ML Substack

Regular newsletter on SEO, AI/ML, and AI search visibility (covers experiments, tools, and tactical guidance).

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Hobbies

Speaks at industry conferences and appears on podcasts. metehan+1