AI Overviews are summaries generated by Google that appear above the classic search results and link to sources. Google shows them only when its systems see added value compared with the regular results.
E-E-A-T stands for experience, expertise, authoritativeness and trustworthiness. Google uses it to describe the qualities of helpful, reliable content.
An entity is a uniquely identifiable thing in the real world, such as a person, company, place or product. Search engines and AI systems link entities to attributes and relationships.
Generative engine optimization (GEO) is the practice of optimising content and brands for AI search tools that write their own answers. The goal is to be mentioned in those answers and linked as a source.
llms.txt is a Markdown file at /llms.txt that gives language models and AI agents a curated overview of a website with links to its most important content. Jeremy Howard proposed the format in September 2024.
Retrieval-augmented generation (RAG) is a method in which a language model retrieves relevant texts from an external source before answering and uses them in its answer. This grounds the answer in current or specific documents rather than training data alone.
Schema.org is a shared vocabulary for structured data that websites use to describe content such as articles, products or organisations in a machine-readable way. Google, Bing and Yahoo launched the project in June 2011.
A zero-click search is a query after which users click on no result, because the results page already answers the question or they abandon or change the search. AI summaries such as AI Overviews reinforce this pattern.