Marie Haynes

Marie Haynes is an internationally recognized SEO consultant and author whose work focuses on Google Search algorithms and the systems that determine organic visibility. She has developed deep expertise in Google core updates and helpful content systems, with extensive research into how Google evaluates content quality. Her work has helped shape industry understanding of EEAT and Google’s Quality Rater Guidelines and her research has been cited in Google Search Central guidance. Haynes also studies the technical systems behind ranking and re-ranking, including RankBrain and Navboost. Her research extends to DeepRank and RankEmbed BERT, as well as vector search and other machine learning approaches used within Search. This work connects observed ranking changes with the technologies Google uses to interpret relevance and assess whether content is helpful or reliable.

Haynes increasingly focuses on how artificial intelligence is changing search visibility and the practice of SEO. As the author of SEO in the Gemini Era, she examines Google Gemini and the changing architecture of Search, including the role of AI Overviews and personalized context. Her research into agentic AI covers AI agents and automated workflows, with attention to how autonomous systems could change web navigation and information discovery. She also studies multimodal AI and intelligent eyewear as emerging interfaces for accessing information. Through consulting and team training, Haynes helps businesses understand how established SEO practices relate to AI powered search. Her work provides a research-led view of how Google Search is evolving and what those changes mean for organizations seeking sustainable visibility.