Andrew Kulyk

Andrew Kulyk is an AI-focused marketing leader whose work sits between strategy, search visibility, content systems, B2B demand generation and marketing operations. He approaches AI as an operating layer inside marketing—not as a substitute for positioning, customer knowledge or editorial judgment.

His practical coverage includes SEO, generative-engine and AI discovery, account-based marketing, lead-generation systems, content production, distribution, lifecycle automation and campaign measurement. He focuses on how these components work together: the research inputs behind a page, the workflow that produces it, the channels that distribute it and the business signals used to evaluate it.

Andrew’s editorial work is built around the problem of commodity AI content. He examines where first-party evidence, expert contribution, original datasets, product testing, source transparency and distinctive analysis create a defensible advantage that a generic prompt cannot reproduce.

At Marketing AI Geek, he is responsible for keeping product and market coverage commercially independent. Vendor features are separated from demonstrated outcomes, volatile claims are date-checked and recommendations are evaluated against a defined use case rather than feature volume.