Concept library
There is no single industry standard for these labels. These are the working definitions we use throughout this site. They separate AI used inside SEO work from answer readiness, generative visibility, and the AI-search products being observed. The distinction matters whenever a broad label would hide a different method or claim.
The practical use of AI inside established SEO research, production, optimization, and reporting workflows.
Research, planning, drafting support, optimization, technical analysis, automation, and reporting inside established SEO work.
Using AI in a workflow does not make the output accurate, original, useful, or search-ready by default.
Using an assistant to organize primary research before a person writes and approves a content brief.
Answer Engine Optimization: making public information clear, extractable, and well supported for answer-oriented systems.
Clear answer structure, accessible pages, supported claims, explicit entities, and other foundations that help answer-oriented systems interpret information.
AEO readiness does not prove that an answer engine will select, cite, or recommend the page.
Opening a guide with a concise answer, then supporting it with sources, definitions, and clear headings.
Generative Engine Optimization: improving how entities and sources can be understood and represented in generated answers.
How well generative systems can retrieve, understand, attribute, and represent a source or entity across observed answer experiences.
GEO is not a universal rank, and no optimization can control every generated answer a person may receive.
Comparing dated citations and brand descriptions across a versioned prompt set on named AI services.
Search experiences that use generative models, retrieval, summaries, or conversational interfaces to answer queries.
Search and discovery experiences that combine retrieval, generative models, summaries, citations, or conversational follow-up.
The label covers different products and interfaces, so evidence from one specific AI service or API should not be generalized to all of them.
A user asks a product question and receives a synthesized answer with links to selected sources.
Measurement boundary
A technically accessible, clearly structured page may be easier to understand, but that does not prove it will appear in a generated answer. Observed AI visibility must be measured separately on a named specific AI service or API, with dates, repetitions, failures, and limitations.