AEO and GEO describe the objective
Answer engine optimization (AEO) is work that helps buyers find and consider a business in answers to relevant questions.
This reference focuses on AI-generated answers. It does not attempt to define every use of AEO outside that scope.
Generative engine optimization (GEO) focuses on visibility within generated answers.
The GEO research paper describes an optimization framework and visibility metrics for generative engines. GEO research
Headless and agent-first describe operation
Headless AEO lets an agent run supported AEO work through software interfaces rather than routine dashboard use.
Agent-first AEO treats the customer's agent as the primary operator when designing that work.
In this reference, headless describes access and operation. Agent-first describes which operator the experience prioritizes.
A dashboard product can add useful agent access. Evaluate the tasks that the agent can complete through that connection.
An agent can operate without a visible chat window. Headless AEO describes how it accesses tools for AEO work.
A headless CMS separates content management from presentation. That alone does not give an agent visibility data or an AEO strategy. Headless CMS definition
MCP, API, and CLI describe access
Model Context Protocol (MCP) is a standard for connecting AI applications with external data and tools.
A server exposes the resources and tools that it supports. MCP documentation
An application programming interface (API) lets software request data or actions in a defined format.
A command-line interface (CLI) exposes commands through a terminal. Agents can use a CLI when their environment permits it.
These are access methods. None guarantees a useful strategy, correct interpretation, or permission to change another service.
The connection method describes access. The connected service defines the available data, actions, and permissions.