Marie Haynes

Marie Haynes is an SEO consultant and author whose subject is Google Search itself: the algorithms and systems deciding what anybody gets to see. Her expertise in core updates and helpful content systems comes out of sustained research into how Google evaluates quality. Her work helped shape the industry’s understanding of EEAT and the Quality Rater Guidelines, and her research has been cited in Google Search Central guidance, which is about as direct as recognition gets.

She also studies the technical systems behind ranking and re-ranking, including RankBrain and Navboost, and on into DeepRank, RankEmbed BERT, vector search and other machine learning approaches used inside Search. That work connects an observed ranking change to the specific technology that caused it, rather than to the speculation that usually follows an update.

Haynes now concentrates on how artificial intelligence is changing visibility and the practice of SEO. As author of SEO in the Gemini Era she examines Google Gemini and the changing architecture of Search, including AI Overviews and personalised context. Her research into agentic AI covers autonomous agents and automated workflows and what they mean for how anybody navigates the web at all, and she studies multimodal AI and intelligent eyewear as emerging interfaces.

Through consulting and team training she helps businesses work out how established practice relates to AI powered search. What makes it worth reading is that it is research led, which is rare in a field where confident prediction costs nothing.