Marie Haynes

Marie Haynes is an SEO consultant and author whose subject is Google Search itself: the algorithms and systems that decide what is visible. Her expertise in core updates and helpful content systems is grounded in 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 an unusually direct form of recognition.

She also studies the technical systems behind ranking and re-ranking, including RankBrain and Navboost, extending to 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 produced 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 the web is navigated at all, and she studies multimodal AI and intelligent eyewear as emerging interfaces.

Through consulting and team training she helps businesses establish how established practice relates to AI powered search. The value of the work is that it is research led, which is rare in a field where confident prediction is cheap.