Clear, accurate definitions for Answer Engine Optimization, Generative Engine Optimization, and the AI search concepts shaping how brands get found and cited.
The common abbreviation for Answer Engine Optimization.
A system that returns a synthesized answer instead of a list of links.
Optimizing content so AI answer engines cite and recommend your brand.
Any reference to your brand in an AI answer or across the web.
The preferred URL that represents a page when duplicates exist.
OpenAI's web-connected search experience inside ChatGPT.
A source an AI engine references or links to in its answer.
How easily bots can access and read your site's pages.
Experience, Expertise, Authoritativeness, and Trustworthiness.
Numeric vectors that represent the meaning of text or data.
Optimizing around entities and relationships rather than just keywords.
Optimizing content to be included in AI-generated answers and recommendations.
The common abbreviation for Generative Engine Optimization.
Tying an AI response to verifiable external sources or data.
When an AI model produces confident but false or fabricated information.
A JSON-based format for embedding structured data in web pages.
A network of entities and relationships used to understand the world.
An AI model trained on vast text to generate and understand language.
A proposed file that guides LLMs to a site's key content.
An AI answer engine that responds with cited web sources.
The input or question given to an AI model to elicit a response.
The step where an AI system fetches relevant sources for a query.
Combining document retrieval with LLM generation for grounded answers.
A file that tells crawlers which parts of a site they may access.
Schema.org vocabulary used to label content for machines.
Search based on meaning and intent rather than exact keywords.
Assessing whether mentions of a brand are positive, neutral, or negative.
How often an AI model surfaces your brand across relevant prompts.
Your brand's share of citations or mentions relative to competitors.
Machine-readable markup that describes a page's content and entities.
Demonstrated depth and breadth of expertise on a subject.
Finding results by semantic similarity between embeddings.
A file listing a site's URLs to help crawlers discover content.