AI Visibility Glossary
A practical glossary of the terms used in AI visibility and generative engine optimisation (GEO). It defines the language behind how AI systems interpret, trust and recommend organisations — from entities and source trust to citations and structured data — so business leaders and marketers can navigate AI search with confidence.
AI search is creating a new vocabulary. As tools such as ChatGPT, Gemini and Perplexity increasingly describe, compare and recommend organisations, the words we use to talk about that process matter. This glossary brings those terms together in one place and explains each one in plain English, with a short note on why it matters for businesses.
It is written as an evergreen reference rather than a sales page. Where a term touches a deeper topic, it links to a related GEO Lab guide such as AI Trust Signals or How to Create an AI-Readable About Page.
A
About Page
A page that explains who an organisation is, what it does and who it serves.
Why it mattersIt is often one of the clearest sources AI systems can use to understand an organisation. See How to Create an AI-Readable About Page.
AI Citation
When an AI system references or attributes a specific source within its answer.
Why it mattersBeing cited can put a business directly in front of someone at the moment they are making a decision.
AI Hallucination
When an AI system produces information that is incorrect, fabricated or unsupported, while presenting it confidently.
Why it mattersHallucinations can attach inaccurate claims to a brand; clear, consistent information may reduce the room for them.
AI Recommendation
When an AI system suggests a specific organisation, product or service in response to a question.
Why it mattersRecommendations increasingly influence buying decisions before a person visits any website.
AI Reputation
The overall impression of an organisation that AI systems convey across their answers.
Why it mattersIt can shape first impressions at scale, often without the organisation being aware of it.
AI Search
The use of AI systems to answer questions directly, rather than returning a list of links.
Why it mattersIt changes how people discover organisations, moving attention from search results to generated answers.
AI Visibility
How accurately and favourably AI systems represent an organisation when they answer questions.
Why it mattersIt is the central concern of generative engine optimisation: being found, understood and recommended.
Author Entity
A clearly identified person credited as the author of content, treated as a distinct entity.
Why it mattersNamed, verifiable authors are commonly associated with stronger expertise and trust signals.
Authority
The perceived standing or credibility of a source within its field.
Why it mattersAuthority appears to contribute to whether a source is relied upon, though it cannot be claimed — only demonstrated.
B
Brand Narrative
The story an AI system assembles about an organisation from the information available to it.
Why it mattersIf the underlying information is fragmented or inconsistent, the narrative can drift from reality.
Business Evidence
Verifiable proof of what an organisation does and has achieved, such as case studies, registrations and references.
Why it mattersEvidence supports claims and is commonly associated with greater credibility. See AI Trust Signals.
Business Profile
A structured listing of an organisation's core details on its own site or a third-party platform.
Why it mattersConsistent profiles across sources help AI systems resolve and describe an organisation accurately.
C
Case Study
A documented account of work delivered and the outcome it produced.
Why it mattersCase studies provide concrete, citable evidence of experience and results.
Citation
A reference to a source that supports a statement.
Why it mattersCitations connect claims to evidence, which can help both readers and machines verify them.
Citation Readiness
How easily a piece of content can be quoted or attributed by an AI system.
Why it mattersClear, self-contained, factual statements appear easier for systems to lift and attribute.
Consistency
The degree to which information about an organisation agrees across different sources.
Why it mattersWhen sources agree, AI systems may have more confidence; when they conflict, descriptions can become hedged or wrong.
Content Hub
A collection of related, interlinked pages organised around a single topic.
Why it mattersHubs can help establish topical depth and make relationships between pages clearer. The GEO Lab is one example.
D
Digital Footprint
The total set of information about an organisation available across the web.
Why it mattersAI systems draw on this wider footprint, not just an organisation's own website.
Disambiguation
The process of distinguishing one entity from others with similar names or details.
Why it mattersPoor disambiguation can cause an organisation to be confused with another.
E
Entity
A distinct thing that can be identified and described — a person, organisation, place or concept.
Why it mattersAI systems increasingly reason about entities, not just keywords.
Entity Clarity
How unambiguously an entity is defined and distinguished from similar ones.
Why it mattersGreater clarity can help systems describe an organisation correctly and consistently.
Entity Recognition
A system's ability to identify an entity referenced in text and link it to what it already knows.
Why it mattersIf a system cannot recognise an organisation as an entity, it may struggle to represent it.
Experience
First-hand involvement in the subject being discussed.
Why it mattersDemonstrated experience is commonly associated with credibility and is part of widely used quality frameworks.
Expertise
Demonstrable knowledge or skill in a particular field.
Why it mattersSignals of expertise can support how seriously a source is treated.
F
FAQ Page
A page that answers common questions in a clear question-and-answer format.
Why it mattersConcise answers to real questions are well suited to how AI systems retrieve and quote information.
Freshness
How current and recently maintained a piece of information is.
Why it mattersUp-to-date information may be treated as more reliable than content that appears abandoned.
G
Generative Engine Optimisation (GEO)
The practice of improving how generative AI systems understand, represent and recommend an organisation.
Why it mattersWhere traditional SEO targets search rankings, GEO focuses on accurate representation inside AI answers.
K
Knowledge Graph
A structured network of entities and the relationships between them.
Why it mattersKnowledge graphs help systems connect facts about an organisation rather than treating them in isolation.
M
Machine Readability
How easily software can parse and interpret content.
Why it mattersClear structure, plain language and structured data can all improve machine readability.
O
Organisation Entity
An organisation treated as a distinct, identifiable entity by a system.
Why it mattersA well-defined organisation entity is easier to describe, attribute and recommend.
P
Primary Source
An original, first-hand source of information, such as an organisation's own statements.
Why it mattersPrimary sources are the foundation other sources build on; keeping them accurate is essential.
Prompt
The question or instruction a person gives to an AI system.
Why it mattersThe wording of a prompt shapes the answer, including which organisations are mentioned.
Prompt Intent
The underlying goal behind a prompt — what the person is really trying to achieve.
Why it mattersUnderstanding likely intents helps anticipate the questions for which a business should be a good answer.
R
Ranking Signal
A factor that may influence how content is ordered or selected by a system.
Why it mattersThe exact signals used by proprietary AI systems are not public, so they should be discussed cautiously.
Recommendation
A suggestion of a specific option in response to a need or question.
Why it mattersBeing recommended is increasingly a route to discovery in its own right.
Relevance
How closely a source matches the question being asked.
Why it mattersEven a trusted source needs to be relevant to a prompt to be surfaced.
Retrieval
The process of finding and pulling in information for a system to use in an answer.
Why it mattersIf a source cannot be retrieved, it cannot be used — making findability fundamental.
Review Signal
Information drawn from customer reviews and ratings.
Why it mattersReviews are one form of third-party validation that may contribute to perceived credibility.
S
Schema Markup
Structured data using the Schema.org vocabulary to describe content to machines.
Why it mattersSchema can make key facts explicit rather than leaving them to be inferred.
Secondary Source
A source that reports on or interprets primary information, such as news coverage.
Why it mattersSecondary sources can corroborate primary information and broaden a digital footprint.
Source Corroboration
When multiple independent sources agree on the same information.
Why it mattersCorroboration is commonly associated with greater confidence in a claim.
Source Trust
The degree to which a system appears to treat a source as credible enough to rely on.
Why it mattersIt is a central theme in AI visibility. See AI Trust Signals.
Structured Data
Information organised in a defined, machine-readable format.
Why it mattersIt reduces ambiguity about facts such as names, locations and relationships.
T
Third-Party Validation
Confirmation of an organisation's claims by independent parties.
Why it mattersIndependent validation tends to carry more weight than self-description alone.
Trust Signal
An observable feature of information that is commonly associated with credibility, such as a named author or a citation.
Why it mattersTrust signals are not guaranteed ranking factors, but they reflect good information-quality practice. See AI Trust Signals.
Frequently asked questions
What is AI visibility in simple terms?
AI visibility is how accurately and favourably AI systems describe and recommend an organisation when answering questions. It is about being found, understood and suggested within AI-generated answers.
Is GEO the same as SEO?
No. SEO aims to rank pages in search results, while GEO aims to shape how AI systems represent and recommend an organisation inside their answers. The two are related and increasingly complementary.
Do these terms describe how AI systems work internally?
No. The internal workings of proprietary AI systems are not public. These definitions describe observable concepts and widely accepted information-quality principles, not confirmed mechanisms.
Key takeaways
- AI visibility is about how AI systems describe and recommend organisations, not just where pages rank.
- Entities, source trust and consistency recur throughout the vocabulary of AI search.
- Trust signals reflect good information-quality practice; they are not guaranteed ranking factors.
- Clear, consistent, well-evidenced information gives AI systems less room to misunderstand a brand.
Related GEO Lab resources
What appears to make information more credible to AI systems.
A practical guide to making your About page clear for people and machines.
References & further reading
- Schema.org — the shared vocabulary for structured data.
- Google Search Central documentation — guidance on structured data and content quality.
- Tom Mason, independent research on AI source trust — observational study of trust signalling in AI-led discovery.
Last reviewed: June 2026 · Maintained as part of the GEO Lab knowledge library.
