Core Concepts

Answer Engine Optimization (AEO) is the practice of optimizing content to be selected as the direct answer in AI-powered search engines and answer platforms, including Google's featured snippets, voice search, and AI assistants.

Agentic commerce is the emerging paradigm where AI agents autonomously research, compare, recommend, and even complete purchases on behalf of users — representing the convergence of GEO, e-commerce optimization, and AI-powered decision-making.

Agentic search is the next evolution of AI-powered search where AI agents not only retrieve and synthesize information but also take action on behalf of users — making purchases, booking appointments, and completing multi-step tasks.

AI crawler accessibility refers to ensuring that AI search engine crawlers and bots can access, parse, and index website content — a technical prerequisite for appearing in AI-generated search responses.

An AI search engine is a search platform that uses large language models and generative AI to synthesize answers from multiple sources, rather than returning a list of links like traditional search engines.

Content freshness is a ranking and citation signal that refers to how recently content was published or updated, with AI engines strongly favoring current, regularly updated information over stale content.

Content Optimization for LLMs is the practice of structuring, formatting, and writing content to be easily parsed, understood, and cited by large language models in their responses to user queries.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is Google's framework for assessing content quality and credibility, now equally important for AI engines evaluating which sources to cite in AI-generated responses.

Generative Engine Optimization (GEO) is the practice of optimizing content and brand presence to appear in AI-powered search results from engines like ChatGPT, Perplexity, Google AI Overviews, Claude, and Gemini.

GEO vs SEO is the comparison between Generative Engine Optimization (optimizing for AI-generated responses) and Search Engine Optimization (optimizing for traditional search engine rankings), highlighting their complementary but distinct strategies, metrics, and outcomes.

llms.txt is a proposed web standard for providing LLM-friendly content summaries and navigation to AI crawlers through a /llms.txt markdown file at a website's root, helping AI models understand and cite website content at inference time.

Structured data is standardized markup (typically Schema.org vocabulary in JSON-LD format) added to web pages to help search engines and AI systems understand the content, relationships, and meaning of page elements.

Topical authority is the perceived expertise of a website or brand on a specific subject matter, demonstrated through comprehensive, interconnected content coverage that signals deep domain knowledge to both search engines and AI platforms.

Wikipedia presence refers to having accurate and comprehensive Wikipedia coverage for your brand, organization, or topic — a critical GEO signal given that Wikipedia constitutes a significant portion of AI training data and is heavily weighted by AI engines as an authoritative source.