AI Marketing Glossary

The AI Marketing & AI Visibility Lexicon

Every term marked up with DefinedTermSet schema so AI systems can cite these definitions directly in response to “what is X” queries.

AEO (Answer Engine Optimization)

The practice of structuring website content and structured data so that AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Bing Copilot — can extract, verify, and cite your content in direct answers to natural language queries.

GEO (Generative Engine Optimization)

The practice of optimizing content, entity data, and authority signals to appear in the outputs of generative AI systems. GEO encompasses schema markup, entity building, topical authority, and E-E-A-T signal development to ensure inclusion in AI-generated responses.

Entity Recognition

The process by which AI systems identify, classify, and verify specific people, places, organizations, products, and concepts from text and structured data. Businesses with strong entity recognition are significantly more likely to be cited in AI-generated answers.

Knowledge Graph

A structured database of entities and their relationships, maintained by search engines and AI systems (e.g., Google Knowledge Graph). Businesses included in knowledge graphs have verified entity records that AI systems draw from when generating local and brand-specific answers.

Schema Markup

Machine-readable code (typically JSON-LD, Microdata, or RDFa) added to a webpage to explicitly declare the type of content and its properties. Schema markup is the primary technical signal AI answer engines use to identify and verify entities and their attributes.

Topical Authority

The degree to which a website or brand is recognized by AI systems and search engines as a trusted, comprehensive source on a specific subject. Built through content clusters: a hub page, supporting sub-pages, FAQ content, and internal linking — all AEO-optimized.

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)

A quality framework used by Google and reflected in AI citation decisions. E-E-A-T signals include author credentials (Person schema, bio pages), publisher authority (Organization schema, press mentions), and technical trust signals (HTTPS, privacy policy, verified reviews).

Answer Engine

An AI-powered system that responds to natural language queries with direct answers rather than a list of links. Examples include ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot. Answer engines are replacing traditional search for a growing proportion of informational and local queries.

Citation Signal

Any data point that increases an AI system’s confidence in citing a specific source. Citation signals include schema markup, E-E-A-T indicators, NAP consistency, topical authority, Knowledge Graph inclusion, and the presence of verified third-party mentions.

LLM (Large Language Model)

A type of AI system trained on large text datasets to understand and generate natural language. LLMs power answer engines like ChatGPT and Perplexity. They generate responses by predicting the most likely continuation of a prompt, drawing on patterns from training data and (in retrieval-augmented systems) live web content.

Structured Data

Data organized in a predefined format that machines can easily read, parse, and process. In the context of AI visibility, structured data refers to schema markup (JSON-LD) embedded in web pages that declares entity types, properties, and relationships in a format AI systems can directly ingest.

Local SEO

The practice of optimizing a business’s online presence to rank in local search results — Google Maps, local pack, and geo-specific organic results. In the AI era, Local SEO has expanded to include local entity optimization for AI answer engines, requiring LocalBusiness schema, NAP consistency, and location-specific AEO content.

Franchise SEO

Search engine optimization strategies designed for franchise systems, addressing the unique challenge of maintaining brand consistency while optimizing individual franchise locations for local visibility. In the AI era, Franchise SEO must include location-level entity infrastructure, scalable schema deployment, and consistent NAP data management across all locations.

AI Visibility

The degree to which a business, brand, or entity appears in AI-generated answers across major AI systems (ChatGPT, Perplexity, Google AI Overviews, Bing Copilot, etc.). AI visibility is measured by citation frequency, query coverage, and entity recognition confidence — and is increasingly a primary metric for brand marketing effectiveness.

GBP (Google Business Profile)

Google’s free tool for businesses to manage their local presence across Google Search and Maps. GBP is a foundational element of local AI visibility — it provides a verified entity record that AI systems draw from for location-specific queries. Optimized GBP profiles include complete category data, service lists, Q&A content, and regular photo updates.

NAP Consistency

The practice of ensuring a business’s Name, Address, and Phone number are identical across every online directory, citation source, and data aggregator. NAP consistency is a primary verification signal for local entity recognition by AI systems and knowledge graphs. Inconsistent NAP data signals an unverified entity and reduces AI citation probability.

Voice Search

Search queries submitted verbally to AI assistants (Siri, Alexa, Google Assistant, etc.) rather than typed. Voice search queries are characteristically conversational, question-format, and local. AEO-optimized content structured as direct Q&A answers is the primary strategy for voice search visibility.

Featured Snippet

A highlighted excerpt from a webpage displayed at the top of Google search results in a box, answering a query directly. Featured snippets are Google’s traditional answer engine format — the predecessor to AI Overviews. Content optimized for featured snippets (clear question/answer structure, schema markup) overlaps significantly with AEO content optimization.

Generative Search

Search powered by generative AI models that produce synthesized, original responses rather than simply retrieving and ranking existing content. Google AI Overviews, Perplexity, and ChatGPT Search are examples of generative search systems. They generate answers by synthesizing information from multiple sources, making entity recognition and structured data critical for citation.

AI Marketing Department

A fully autonomous or semi-autonomous marketing function powered by AI agents that handle tasks traditionally performed by human marketing staff — content creation, social media management, lead follow-up, email communication, and performance analysis. Immersive Agentics designs and deploys AI Marketing Departments for businesses seeking enterprise-level marketing capability without enterprise-level headcount.