The AI-Era Authority Glossary

The practice of making a company more likely to be named and recommended by AI tools like ChatGPT, Claude, Gemini, and Perplexity. Where SEO aimed to rank on a page of links, GEO aims to be in the answer the AI gives. The newer, AI-era counterpart to SEO.

A close cousin of GEO. Where GEO focuses on AI chat tools, AEO is the broader idea of optimizing to be the answer across any system that returns a direct answer instead of a list of links — including voice assistants and answer boxes. In practice the two overlap heavily.

How present and findable a company is inside AI tools. High AI visibility means that when someone asks an AI about your category, your name comes up. Low AI visibility means you're absent from a conversation your buyers are already having.

Google's AI-generated summary that now appears at the top of many search results, above the usual links. It answers the question directly, often without the user clicking through to any website. Being named in an AI Overview matters as much as ranking below it once did.

The technology behind tools like ChatGPT and Claude. An LLM is trained on a vast amount of text and learns to predict and generate language. When it answers "who's the best at X," it's drawing on patterns in what it has read — which is why being well-represented across the web influences whether it names you.

A method where an AI tool doesn't rely only on what it memorized during training — it also retrieves live sources from the web and uses them to build its answer, often citing them. This is why current, well-structured content about your company can get you into AI answers even if you weren't part of the original training data.

The single most useful distinction to understand. An AI can name you for one of two reasons: because you were part of the training data it learned from (baked in, hard to change quickly), or because it retrieved you live at the moment of answering (current, influenceable now). Most companies don't realize there are two different doors into the answer — and that the retrieval door is open today.

When an AI confidently states something untrue or invents a source. Relevant to authority because part of being citeable is being the real, verifiable source an AI reaches for — so it names you instead of guessing or making something up.

Search based on meaning rather than exact keywords. Modern search and AI try to understand what you mean, not just match the words you typed. This is why describing what you do clearly and consistently matters more than stuffing in keywords.

A distinct, recognized "thing" — a company, person, product, or concept — that search engines and AI treat as a single identifiable unit. Becoming a clearly recognized entity (rather than a vague string of words) is foundational to being named in answers.

The map of entities and the relationships between them that Google and AI systems use to understand the world. If you're a well-defined node in that map — clearly connected to your category, your expertise, your work — you're far more likely to surface.

Code added to a website that labels its content so machines can understand it precisely — "this is the company name, this is the founder, this is what they do." It's one of the most direct ways to tell search and AI exactly who you are.

In machine learning, the verified, correct reference information that a model's output is measured against — the "known right answer." We use it carefully: the goal of authority work is to make your company part of the reliable, corroborated information AI treats as trustworthy, rather than something it has to guess at.

The long-standing practice of improving where a website appears in search results. Decades old, still relevant — but no longer the whole game, now that buyers also ask AI tools directly and often never reach a results page.

Your position in the list of results on a Search Engine Results Page (SERP). The higher you rank, the more clicks you get. Still matters — but increasingly, the answer appears above the rankings, in an AI summary that may never send a click your way.

In traditional SEO, a citation is a mention of your business's name, address, and details across the web (directories, listings) that helps establish legitimacy. In the AI era, a citation is being quoted or referenced as a source in an answer. Both senses point to the same underlying idea: credibility comes from being referenced by others, not just from talking about yourself.

A link from another website to yours. Long treated as a vote of confidence that boosts search ranking. Still useful — and the same logic carries into the AI era, where being referenced by trusted sources helps you become a source yourself.

An informal score estimating how trusted and influential a website is, based largely on the quality and quantity of sites linking to it. Higher authority tends to mean better visibility. A useful proxy for "does the wider web treat this company as credible."

A word or phrase people type into search. The backbone of old-school SEO. Less central now — semantic search and AI care more about meaning and context than exact-match words — but still part of how you get understood.

Google's framework for judging content quality. It rewards content that shows real experience and genuine expertise from a trustworthy source. It bridges the old and new worlds neatly: the same qualities that satisfy E-E-A-T are the ones that make AI systems treat you as worth citing.

How likely you are to be named, quoted, or recommended when someone — a person or an AI — answers a question in your category. Visibility is being seen. Citeability is being referenced. The first gets you noticed; the second gets you trusted and chosen. The whole point of authority work in the AI era.

The owned, durable system of positioning, content, structured data, and corroborating signals that makes a company consistently discoverable and citeable — across search, peers, and AI. The word "infrastructure" is deliberate: it's built once, owned by you, and compounds over time, rather than rented from a platform that can change its rules overnight.

The set of places a buyer checks before they ever contact you — a Google search, a question to peers, a query to ChatGPT. Most companies have no presence there and don't even know the conversation is happening. The research room is where deals are increasingly won or lost before the first call.

Your presence inside AI answers relative to your competitors — the AI-era version of "share of voice." When ten buyers ask an AI who's best in your category, how often does your name appear? That share is becoming a real competitive metric, even though almost no one is measuring it yet.

The position of being the name most associated with a specific category — the company that comes up first, by reflex, when the category is mentioned. The end goal of authority work: not ranking in a category, but owning it.

Being present across many surfaces — search, social, third-party sites, AI tools — rather than depending on a single platform. Distribution is what makes authority resilient: if one channel changes its rules, your presence everywhere else still holds.

The third-party signals — mentions, references, reviews, citations by others — that AI and search systems cross-check to decide whether to trust you. You can say you're the best; corroboration is other sources agreeing, which is what actually moves the needle.