E-E-A-T & Transparency

Editorial Standards & About the Founder

Botfusions is a founder-led company. Our content is produced by a single real author: Ömer Cenk Tokgöz. This page makes that authorship honest and verifiable.

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Ömer Cenk Tokgöz

Founder, Botfusions

Ömer Cenk Tokgöz is the founder of Botfusions. His work focuses on Generative Engine Optimization (GEO) and AI / answer-engine visibility; he is the author of the AI Visibility methodology that measures and improves brand citability in models such as ChatGPT, Claude, Gemini, and Perplexity.

Draft note: This biography is intentionally minimal and verifiable. It should be treated as a draft until the founder enriches it with real, evidence-backed details (education, experience, publications). It contains no fabricated degrees, prior employers, awards, or expert quotes.

How We Produce Content

Botfusions content rests on three principles: research, sourcing, and freshness.

Research

Every material claim is backed by public academic research and primary sources (e.g. the GEO-bench, the KDD '24 paper). Estimates are clearly labeled as 'lab' or 'empirical'.

Sourcing

Statistics and metrics are presented with citations to public sources. Competitor pricing is labeled as 'publicly available information' and noted as subject to change. No fabricated case studies or customer quotes are used.

Freshness

Every blog post carries a 'First Published' date and a 'Last Updated' date when a genuine revision occurs. lastUpdated changes only on a real edit; otherwise it stays equal to the publish date (honest: 'unchanged since publication').

Methodology

The AI Visibility Methodology (Summary)

The Botfusions AI Visibility methodology measures and improves a brand's citability in generative engines such as ChatGPT, Claude, Gemini, and Perplexity. The approach has three layers: (1) diagnosis — measuring brand visibility in AI answers; (2) technical execution — increasing citability through schema/JSON-LD, llms.txt, and entity mapping; (3) monitoring — tracking visibility trends over time.

A detailed methodology page is coming soon (Phase 2).