What Is an Entity, and Why AI Engines Need One Before They Trust You
An entity is a resolved, machine-readable identity distinct from your website. Without one, engines read every mention of your name as an unlinked string.
The definitions, the mechanics, and the vocabulary. Start here if AEO is new to you, or if you have been doing it for a year and want to check that the terms you are using mean what you think.
This section covers what an AI citation actually is and why it behaves nothing like a backlink, how each of the ten major engines retrieves differently, and the difference between being mentioned, being cited, and being recommended. Those three get used interchangeably by most tools and they have three different fixes.
Everything here is written to be checked. Where a claim comes from a study, the study is linked.
An entity is a resolved, machine-readable identity distinct from your website. Without one, engines read every mention of your name as an unlinked string.
Three different outcomes with three different fixes. A mention can come from training memory, a citation needs a live fetch, and only one of them sells.
AI share of voice is the share of answers in a fixed prompt set naming your brand, split across named competitors. The method, and what moves it wrongly.
Bing Webmaster Tools reports Copilot citations, the pages cited, and the queries used to retrieve them. It is the only free first-party AI diagnostic.
Gemini grounds in Google’s index, so Search eligibility is the entry ticket. That direct relationship is unusual, and a bad proxy for the other engines.
Claude searches only when a question needs current information, and every citation carries the exact passage used, not just the page it came from.
AI Overviews largely summarises what already ranks. AI Mode fans the question out into related searches first, so it names brands Overviews never will.
Perplexity shows its sources inline, which makes it the best engine to audit your category with and the worst one to generalise a citation rate from.
ChatGPT answers from three separate stores that update on three different clocks, and the phrasing of the question decides which one you get.
Three retrieval families sit behind every AI answer: live web search, grounded index, and training-data recall. Each one fails you differently.
RAG means the model fetches documents before answering. Visibility splits in two: whether the retriever finds you, and whether the generator names you.
Recommendation happens in two stages. Retrieval decides whether you are found, and generation decides whether you are named. Consistency beats prominence.