Definition
Generative Engine Optimization
Generative engine optimization (GEO) is the practice of shaping your content so generative AI tools cite and recommend your business inside the answers they write. Unlike traditional SEO, which optimizes for ranked links, GEO optimizes for being quoted by a model that composes an original answer from many sources. Argentix frames this as the next front in visibility: as people ask AI assistants for recommendations, the businesses those models mention are the ones that get considered at all.1
GEO rewards content that is clear, factual, and easy for a model to attribute to you. That means stating your expertise plainly, backing claims with specifics, earning mentions on sites the models already trust, and keeping your facts consistent so the model is not confused about who you are. It overlaps heavily with answer engine optimization, and in practice you pursue both together. For an SMB, the honest path is also the effective one: be genuinely useful and quotable, because models are increasingly good at spotting thin, manipulative content.
Why it matters
The stakes
When a customer asks a generative tool for a recommendation, you are either in the answer or you do not exist for that search. Getting cited comes from clear, credible, consistent content and a reputation the models can see, not from tricks. Invest in being genuinely useful online, and you become a source these tools reach for.