Search engines and AI models do not just match keywords anymore; they track entities, real, distinct things, and the relationships between them. "Tosa Marketing" is an entity. Its owner is an entity. Wauwatosa is an entity. Entity SEO is the work of making these connections unambiguous: this business, run by this person, located here, offering these services, mentioned by these other trusted sources.
This matters enormously for AI answers, because an assistant will only confidently recommend a business it can pin down. If your name, location, and specialty are consistent across your site, your Google profile, and third-party mentions, the machine trusts it knows who you are. If the signals are scattered or contradictory, it hedges, and hedging means it names a clearer competitor instead.
You strengthen your entity by being consistent (see NAP), by using schema markup to label who and what you are, and by earning mentions on the kinds of pages AI leans on. Over time the goal is a clear, connected picture: one confident answer to "who is this business," not a fuzzy guess.
When Google shows a knowledge panel for a business, name, logo, location, hours, all tied together, that is entity recognition working. The business has become a distinct “who” Google is sure about.
Go deeper: How to Show Up in ChatGPT and Perplexity Results (2026).
This is part of our AI search (GEO) work.