Guide

GEO and SEO glossary

The vocabulary around AI search is new, inconsistently used and frequently used to obscure rather than explain. These are the working definitions we use.

Much of the language around generative search is less than three years old, and a good deal of it is deployed to make ordinary work sound proprietary. These are the definitions we actually use with clients. Where a term is genuinely contested we say so rather than pretending otherwise.

The terms, defined

AEO (Answer Engine Optimisation)
Structuring content so it can be lifted directly as the answer to a question, rather than merely ranked as a result. In practice it means answering one question per section, in the first sentence, in complete sentences that make sense when quoted out of context.
AI Overviews
Google's generated summaries that appear above the traditional results. They are assembled from multiple sources and cite them, so being one of the cited sources matters more than holding a particular ranking position.
Citation (local)
A mention of your business name, address and phone number on another website — a directory, a trade register, a local listing. Consistency across citations is a ranking signal; contradictory addresses actively harm you.
Citation (AI)
When a language model names your business or links your page as a source in its answer. Unlike a ranking position, it is not a fixed place you occupy — the same question can produce different citations on different days.
Doorway page
A page created mainly to capture a search rather than to serve a reader — typically a town name swapped into an otherwise identical template. Google treats these as spam, which is why service-area businesses must be selective rather than exhaustive.
E-E-A-T
Experience, Expertise, Authoritativeness and Trustworthiness. Google's framework for assessing content quality. It is not a score you can see; it is a description of the signals — named authors with credentials, verifiable claims, genuine first-hand experience.
Entity
A thing a search engine or language model recognises as distinct and can hold facts about — a business, a person, a place. Entity resolution is the process of a machine working out that “GEO SEO” and “Expect Best Ltd” refer to the same organisation.
GEO (Generative Engine Optimisation)
The work of making a business easy for AI answer engines to find, verify and recommend. It overlaps with SEO but optimises for being named in a generated answer rather than for a position in a list of links.
Google Business Profile
The listing that powers your presence in Google Maps and the local pack. For many local businesses it is more commercially important than the website, because a large share of customers act on it without ever clicking through.
Grounding
When a language model bases its answer on retrieved documents rather than on its training data alone. Grounded answers are the ones that cite sources, which is why having a crawlable, quotable page matters.
Hallucination
When a language model states something false with confidence. For a business this most often means invented opening hours, an out-of-date address or a service you do not offer — which is why keeping authoritative sources current is a GEO task, not just a tidiness one.
Knowledge graph
A structured store of entities and the relationships between them. Google's version underpins the information panel that appears beside branded searches.
LLM (Large Language Model)
The class of model behind ChatGPT, Claude, Gemini and similar systems. It generates text by predicting what comes next, which is why it can be fluent and wrong at the same time.
llms.txt
A plain-text file at the root of a website that gives AI systems a curated map of the site's most useful pages. It is a proposed convention rather than a standard, and it is cheap to maintain.
Local pack
The block of three business listings with a map that appears for local searches. Also called the map pack. Ranking here is driven by proximity, relevance and prominence, and is largely separate from ordinary organic ranking.
NAP
Name, Address, Phone. The three details that must match everywhere your business is listed. Inconsistent NAP is one of the most common and most fixable causes of weak local visibility.
Prompt volume
How often a given question is asked of AI assistants. It is not the same as search volume and is far harder to measure, which is why a page with no Google demand can still be worth writing.
RAG (Retrieval Augmented Generation)
A method where a model searches for relevant documents and then writes its answer from them. Most AI answer engines work this way, which means the retrieval step — whether your page is found and judged relevant — decides whether you are cited.
Schema / structured data
Machine-readable markup added to a page describing what it contains — a business, an article, a FAQ, a product. It does not change what a human reads, but it removes ambiguity for anything parsing the page.
SERP
Search Engine Results Page. Increasingly a misnomer, since a modern results page contains AI summaries, maps, questions and shopping modules alongside the ten links it used to be.
Service area business
A business that travels to customers rather than receiving them at premises — a plumber, a mobile vet, a removals firm. Google supports these explicitly, and they should hide their address and set a service area instead.
Share of voice (AI)
The proportion of relevant AI answers in which your brand is mentioned, measured against competitors. The nearest equivalent to a ranking report for generative search, and necessarily a sampled estimate rather than an exact figure.
Structured data validation
Checking that your schema markup parses and matches what is on the page. Invalid markup is usually ignored; markup that contradicts the visible page can be treated as deceptive.
A search that ends without anyone clicking a result, because the answer appeared on the results page. It is why visibility and citation are increasingly better measures of performance than sessions alone.

If a supplier uses one of these words in a way that does not match the definition here, that is worth a question rather than an assumption. Vocabulary is the easiest place for a proposal to hide a lack of substance.

Proof

Case studies connected to this guide

Application

How to apply this without creating more SEO clutter

The aim is always a cleaner, more useful site architecture rather than more pages for the sake of it.

Start with the hierarchy

Clarify national, regional, county, and local roles

Before new pages are published, make sure the existing service and hub pages are already doing the job they should be doing.

Add proof nearby

Bring outcomes, reviews, and examples closer to commercial pages

Relevant proof often improves both rankings and conversion quality more than another thin landing page ever will.

Only expand selectively

Publish town pages when there is enough bespoke value

If the page cannot support a strong local audit, written observations, and real nearby-area context, it usually belongs in draft or noindex until it can.

Apply this properly

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Questions

GEO vs SEO: common questions

Is GEO just a rebrand of SEO?

No, though there is substantial overlap. SEO optimises for a position in a list of links; GEO optimises for being named and cited inside a generated answer. Much of the underlying work — clear structure, verifiable facts, consistent entity data — serves both.

What is the difference between GEO and AEO?

GEO is the broader discipline of being found and recommended by generative systems. AEO is narrower and more tactical: structuring content so a specific passage can be lifted as the answer to a specific question. AEO is one of the techniques GEO uses.

Does llms.txt actually do anything?

It is a proposed convention, not a standard, and no major AI system has committed to honouring it. It costs very little to maintain and gives a curated map of your site, so it is worth having — but anyone presenting it as decisive is overselling it.

How do you measure AI visibility?

By sampling. You ask a defined set of prompts across several engines on a schedule and record whether the brand is mentioned and cited. It is a sampled estimate, not an exact ranking, because the same prompt can produce different answers on different days.

Fixed monthly pricing

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