AI search visibility, in plain language.
Short, plain definitions of the terms behind Adobe Brand Visibility, generative engine optimization and answer engine optimization.
Glossary terms
- Adobe Brand Visibility
- Adobe Brand Concierge
- Adobe Experience Manager (AEM)
- AEM Edge Delivery Services
- AEO (answer engine optimization)
- Agentic browsing
- AI answer
- Baseline
- Citation
- Core Web Vitals
- Digital asset management (DAM)
- E-E-A-T
- FAQPage schema
- GEO (generative engine optimization)
- Hallucination
- Large language model (LLM)
- LLM visibility
- llms.txt
- Mention
- Peer or competitive benchmarking
- Prompt
- Prompt library
- Retrieval-augmented generation (RAG)
- Section 508 and WCAG
- Sentiment
- Structured data (JSON-LD)
- Zero-click search
Adobe Brand Visibility
Adobe's solution (formerly Adobe LLM Optimizer) for understanding how a brand or organization appears in AI-generated answers, identifying gaps in visibility, citations and accuracy, deploying improvements and measuring change across major AI platforms.
Adobe Brand Concierge
An Adobe agentic experience that lets brands launch personalized, conversational AI on their own websites and apps, grounded in the brand's content and guardrails.
Adobe Experience Manager (AEM)
Adobe's content management and digital asset management platform for creating, governing and delivering digital experiences. Includes AEM Sites and AEM Assets.
AEM Edge Delivery Services
Adobe's high-performance delivery layer for AEM that serves pages from the edge, enabling very high Lighthouse scores while authors work in familiar tools.
AEO (answer engine optimization)
The practice of structuring content so answer engines and AI assistants can find it, understand it and use it as the answer to a question. Closely related to GEO.
Agentic browsing
When an AI agent visits and acts on web pages on a user's behalf. Pages that are fast, well structured and accessible are easier for these agents to use. Lighthouse now reports an Agentic Browsing check.
AI answer
A direct, generated response from an AI assistant or AI search feature, often with citations to the sources it drew from.
Baseline
The starting measurement of how a brand appears in AI answers (mentions, citations, accuracy) before improvements, used to prove progress later.
Citation
A link or reference an AI answer gives to a source. Being cited means an AI system relied on your page to answer a question.
Core Web Vitals
Google's measures of real-world page experience: loading (Largest Contentful Paint), interactivity and visual stability (Cumulative Layout Shift).
Digital asset management (DAM)
A system for storing, organizing, governing and delivering images, video and other brand assets. AEM Assets is Adobe's DAM.
E-E-A-T
Experience, Expertise, Authoritativeness and Trustworthiness: signals search and AI systems use to judge whether content and its authors can be relied on.
FAQPage schema
Structured data that marks up questions and answers on a page so machines can read them directly.
GEO (generative engine optimization)
Improving how a brand is found, cited and described in generative AI answers. Often used alongside AEO; Adobe Brand Visibility supports GEO programs.
Hallucination
When an AI system produces plausible but incorrect information, such as a wrong deadline or eligibility rule. Authoritative, current source content reduces the risk.
Large language model (LLM)
The kind of AI model behind assistants such as ChatGPT, Claude, Gemini and Perplexity. LLMs generate answers from training data and, increasingly, live sources.
LLM visibility
How often and how accurately a brand or organization is mentioned, cited and described in LLM-generated answers.
llms.txt
A plain-text file at a site's root that summarizes the site and points AI systems to its most important pages.
Mention
When an AI answer names a brand or organization, with or without a citation.
Peer or competitive benchmarking
Comparing your visibility with similar organizations (peer agencies for government, competitors for commercial brands) on the same prompts.
Prompt
A question or request a person gives an AI assistant. Adobe Brand Visibility tracks sets of prompts to see how answers describe a brand.
Prompt library
An organized set of prompts, grouped by topic, audience, journey stage, product or service and market, that a Brand Visibility program tracks over time.
Retrieval-augmented generation (RAG)
A technique where an AI system retrieves current documents before answering, so the answer can reflect and cite live sources.
Section 508 and WCAG
Section 508 is the U.S. federal accessibility requirement for information technology; WCAG (Web Content Accessibility Guidelines) is the technical standard most programs use to meet it.
Sentiment
The tone with which an AI answer describes a brand or program (positive, neutral or negative), which can be shaped by public reviews and forums.
Structured data (JSON-LD)
Machine-readable markup, usually schema.org in JSON-LD, that tells search and AI systems what a page is about: an organization, service, article, FAQ and more.
Zero-click search
When a search or AI answer satisfies the user without a visit to any website, which makes being cited in the answer itself important.
Have a term we should add?
Tell us and we'll define it.