The process of optimizing content to be understood and recommended by AI-driven answer engines like ChatGPT, Perplexity, and Google's AI Overviews. It focuses on direct, factual answers and structured data.

Stands for Experience, Expertise, Authoritativeness, and Trustworthiness. A framework used by Google's quality raters to assess the quality of search results, increasingly important for AI models.

A singular, unique, well-defined, and distinguishable thing or concept in the context of a Knowledge Graph. Search engines map relationships between entities rather than just matching keywords.

A broader strategy encompassing AEO, focusing on how generative AI models construct responses. It involves structuring content so that AI models use it as a primary source when generating comprehensive answers.

A knowledge base used by Google and other search engines to enhance search results with semantic-search information gathered from a wide variety of sources.

The practice of optimizing a business's online presence to attract more business from relevant local searches. This involves Google Business Profile optimization, local citations, and localized content.

An AI framework that improves the quality of LLM-generated responses by grounding the model on external sources of knowledge to supplement the LLM's internal representation of information.

Code (semantic vocabulary) placed on a website to help search engines return more informative results. Critical for AEO/GEO as it explicitly defines entities, relationships, and facts.

A data searching technique in which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the words a person is using for search.

A search engine results page (SERP) where the answer is displayed directly at the top, resolving the user's query without them needing to click on any further links.