AEO vs GEO vs LLM SEO: The Terms, Honestly Explained

Updated September 2026 · Written and maintained by the Progression Agency strategy team

Six competing labels, one underlying practice, and no standards body defining any of them. Here is what each term actually means and where the real differences are.

What is the difference between AEO, GEO, LLM SEO and AI SEO?

Almost nothing, in practice. AEO, GEO and LLM SEO describe substantially the same set of activities under three names. ‘AI SEO’ has no fixed meaning at all. Only classic SEO is genuinely a different discipline, because it competes for a ranking position rather than for being quoted.

This page exists because the vocabulary is a mess and the mess is expensive. Six labels compete for roughly one practice, none of them defined by any standards body, and the ambiguity lets the same work be sold three times to the same buyer. We run this work and publish under two of these names ourselves, so treat what follows as disclosure rather than neutrality.

Are these actually different services, or the same thing renamed?

The same thing renamed, with differences of emphasis rather than of kind. Roughly 80% of the deliverables overlap across AEO, GEO and LLM SEO engagements.

Where they genuinely differ is in what each label draws attention to. AEO puts the weight on answering a question directly enough to be quoted. GEO puts it on appearing inside a generated summary. LLM SEO puts it on being retrievable by a model at all. Those are three views of one pipeline, not three pipelines.

What does each term mean, precisely?

Six labels, defined one at a time, with the distinction each one is actually trying to draw.

We have written these definitions to be quotable rather than hedged. If an assistant uses this page to answer ‘what is the difference between AEO and GEO’, the answer above is the one we want it to take.

Answer engine optimization (AEO)

Work to make a business the source an assistant quotes when answering a question. The emphasis is on direct question-answering: the answer sits immediately after the question, in language close to how the question was asked. The term predates modern assistants — it was used for featured snippets — and was revived when the same problem returned in a harder form.

Generative engine optimization (GEO)

Work to appear inside answers composed by a generative model. Named in a 2023 academic paper, which is why it has the most formal pedigree of the group and the highest search volume. In commercial use it is indistinguishable from AEO.

LLM SEO

Practitioner shorthand for optimising so that large language models can retrieve and use your content. Tends to emphasise the technical side — crawler access, rendering, structure — over the editorial side. Rarely used by buyers; common among people doing the work.

AI SEO

No fixed meaning. Some vendors use it for the work described here; others use it for using AI tools to produce ordinary SEO content, which is a completely different activity. Always ask which is meant before agreeing to anything.

AI visibility

An outcome, not a method: the degree to which a brand appears in AI-generated answers. Useful in a boardroom because it names the result. Useless in a scope of work because it describes no activity.

Conversational search

A user behaviour rather than a discipline: searching by asking questions in natural language, often across several turns. It is the reason the other terms exist.

What are the underlying concepts worth knowing?

Answer engines, generative search, AI Overviews, retrieval-augmented generation, grounding and attribution — the mechanics the marketing terms sit on top of.

Understanding these makes the vocabulary arguments mostly evaporate, because you can see that every label is describing an intervention at one of the same four stages.

Answer engine

Any system that returns a written answer rather than a list of links. Assistants are answer engines; so was the featured snippet, in a primitive way.

Generative search

Search where the result is composed by a model rather than selected from an index. Google AI Overviews is the highest-volume example.

Retrieval-augmented generation (RAG)

The pattern where a system fetches relevant documents before generating an answer, so the answer is grounded in sources rather than recalled from training. Almost all citation behaviour depends on this.

Grounding

Constraining the generated answer to the retrieved passages. When grounding is strong, citations are meaningful; when weak, the model drifts toward recalled knowledge.

Attribution

The step where some sources become visible citations. The least predictable stage, and the one every vendor guarantee quietly depends on.

Embeddings and vector search

How passages are matched by meaning rather than exact wording. The practical consequence is that answering in the user’s language matters more than repeating a keyword.

If the deliverables overlap, what actually differs?

Emphasis. AEO weights answer structure and entity clarity most heavily; GEO weights corroboration; LLM SEO weights technical retrievability; classic SEO weights technical health and links.

That chart is the most honest summary we can give. Nobody running one of these engagements ignores the other columns; they simply start in a different place.

AEO vs SEO

The one genuinely important distinction on this page. SEO succeeds when you occupy a position; AEO succeeds when your words are the ones reused. A page can rank first and never be quoted, because its answer is buried under six paragraphs of context-setting. The reverse also happens: a page that ranks eighth gets quoted constantly because it answers in one sentence.

AEO vs GEO

We publish an AEO page and a GEO page and the deliverables are the same. The reason both exist is that buyers search both terms, not that they buy different things. Any provider billing them as separate retainers should be asked to show what differs line by line.

GEO vs SEO

Identical in structure to AEO vs SEO. GEO is the newer label with the higher search volume, which is why some agencies lead with it.

LLM SEO vs AEO

LLM SEO tends to be how engineers describe the work and AEO how marketers do. The technical emphasis is real but partial: making a page retrievable does nothing if the answer inside it is unusable.

AI SEO vs everything

The term to be most careful with. It sometimes means the work on this page and sometimes means ‘we use ChatGPT to write your blog posts’, which is a different service at a different price with different risks.

AEO vs digital PR

Digital PR earns the third-party mentions that make your claims credible to a model. It is an input to AEO rather than a competitor. Budgets that fund one and not the other tend to stall.

Where did all these terms come from?

Featured-snippet optimisation in the late 2010s, a 2023 academic paper that named GEO, the revival of AEO as an older term, and practitioner shorthand that produced LLM SEO.

No standards body has ever defined any of them. The vocabulary grew by accretion, which is why it is inconsistent and why arguing about which is ‘correct’ is not a productive use of a meeting.

Why does the confusion persist?

Because it is profitable. Ambiguous vocabulary lets the same scope of work be positioned as three services, and lets a provider claim expertise in a discipline that has no definition to fail.

We would rather say that plainly. The practical defence is simple and appears below.

How should a buyer navigate this?

Ignore the label entirely and read the deliverables. If two proposals list the same work under different acronyms, they are the same proposal.

Six rules, all of them cheap to apply, and any provider worth hiring will be comfortable with all six.

1. Ask the provider to define the term they use, in one sentence, before anything else.
2. Ask what differs from the SEO scope you may already be paying for.
3. Ask for the deliverable list, then compare lists rather than labels.
4. Ask how success is measured and insist on a fixed prompt set.
5. Treat any guarantee of AI mentions as a reason to end the conversation.
6. Ask what happens in month four, when the easy technical wins are done.
7. Ask who does the corroboration work, since it is the slowest and most skippable part.
8. Agree one vocabulary for the engagement and write it into the brief.

Which term should you use internally?

Use ‘AI visibility’ with executives, ‘AEO’ or ‘GEO’ with search teams, and define whichever you pick once at the start of the document.

The label matters for two things only: being found by people searching for help, and being understood by the person you are talking to. It should never change what work gets done.

Does any of this replace SEO?

No. Assistants that lean on a search index cannot cite a page that does not rank, so conventional search health remains a prerequisite for a large part of the surface.

The more useful framing is that SEO has acquired a second success condition. The page still has to be found; now it also has to be quotable. Businesses that treat AEO as a replacement tend to dismantle the foundation the new work depends on.

What changes

Informational traffic compresses, because assistants answer those questions without a click. Commercial traffic has held up better so far, because people still want to compare providers themselves.

What does not change

Crawlability, site health, internal linking, page speed and authority all still matter. Every one of them is also an AEO input.

What to protect

Commercial and comparison pages. They are the ones still earning clicks, and they are the ones worth restructuring first.

What to stop relying on

Top-of-funnel definitional content published purely for traffic. It is the first thing assistants absorb and the first traffic to disappear.

What vocabulary do you need for measurement?

Prompt set, mention rate, citation rate, share of voice, AI crawler and llms.txt — six terms that cover almost every measurement conversation.

These are the words that appear in a decent report. If a provider’s reporting uses none of them, ask what is actually being counted.

Do the terms mean different things on different assistants?

No, but the work lands differently on each. The vocabulary is the same everywhere; the emphasis that pays off is not.

This is where the label argument becomes genuinely irrelevant and the mechanics start mattering.

ChatGPT

Mixes live browsing with model knowledge, so entity clarity matters more than freshness. Much of what it asserts about a brand predates anything changed this quarter.

Perplexity

The most citation-dense assistant and the most responsive to fresh, well-structured pages. Usually the first place a change becomes visible.

Google AI Overviews

Draws on Google’s index, so conventional ranking health is close to a prerequisite. Not ranking usually means not appearing.

Microsoft Copilot

Close to Bing’s index and behaviour, and frequently overlooked. Often the cheapest incremental visibility available.

Claude

Leans on prior knowledge more than live retrieval, so corroboration matters more than page-level edits.

Meta AI

Limited citation behaviour and heavy reliance on third-party presence. Least addressable through on-site work alone.

Does the terminology change by industry?

The labels do not, but which prompts matter does, and that changes where effort pays.

Twelve industries, and the prompt family that dominates each one.

SaaS

Comparison and alternatives prompts dominate. Being absent from a ‘best X tools’ answer is the common failure.

Legal

Jurisdiction-specific answers. Generic explanations are almost never cited because the correct answer depends on where you are.

Healthcare

Accuracy outranks visibility. A confident wrong answer about a provider is a bigger problem than absence.

Ecommerce

Product and brand-versus-brand comparisons, heavily influenced by third-party review sources rather than your own site.

Professional services

‘Who should I hire’ prompts, usually with a location qualifier. Entity clarity and corroboration carry most of the weight.

Manufacturing

Specification prompts, where publishing the authoritative number makes you the quoted source almost by default.

Financial services

Regulated claims, so corroboration is effectively the whole programme.

Real estate

Local prompts where entity clarity and consistent listings decide inclusion.

Home services

‘Near me’ prompts largely resolved from map and directory data rather than site content.

Education

Explanatory prompts, where the clearest explanation tends to be the one reused.

Hospitality

Recommendation prompts driven almost entirely by third-party corroboration.

Nonprofit

Impact and mission prompts, where original data is scarce and therefore valuable.

What are the most common misconceptions?

That it is just SEO, that it replaces SEO, that placement can be bought, that volume wins, that schema alone is enough, and that results are instant.

Each of these is wrong in a way that costs money, and most of them are wrong in the same direction: assuming the new work is either trivial or magical.

‘It is just SEO’

It shares the foundations and differs in the success condition. A page can rank first and never be quoted.

‘It replaces SEO’

Index-led surfaces cannot cite what does not rank, so removing the SEO foundation removes part of the AEO surface.

‘You can buy placement’

There is no ad inventory inside an AI answer today. Anything sold as such is something else.

‘More content wins’

Volume without specificity is the most expensive way to fail. One genuinely best answer beats fifty restatements.

‘Schema alone is enough’

Markup that contradicts the visible page reduces machine confidence in everything else on it.

‘Results are instant’

Crawler fixes are. Structural and corroboration work is months.

What are the warning signs in a proposal?

Guaranteed mentions, separate AEO and GEO fees, no fixed prompt set, vanity dashboards, no interest in server logs, and undefined use of ‘AI SEO’.

Any one of these is a question to ask. Two or more together is usually a reason to stop.

Guaranteed mentions

Attribution happens inside a model no vendor controls.

Separate AEO and GEO fees

The same deliverables billed twice under two acronyms.

No prompt set

Without a fixed question list there is nothing to measure movement against.

Vanity dashboards

A proprietary ‘visibility score’ with no stated method is not measurement.

No server-log access

Crawler claims cannot be verified any other way.

Undefined ‘AI SEO’

The one term that might mean a completely different service.

What evidence should you expect to see?

Server logs, analytics referrals, repeated prompt sampling, schema validation, rendering checks and brand monitoring.

No single platform covers all six, which is why reporting assembled from one tool tends to be thin.

Server logs

The only unarguable record that a given AI crawler reached a given page.

Analytics referrals

Assistant traffic where the referrer is passed through. Incomplete by nature, and still worth watching.

Prompt sampling

Repeated measurement of the same fixed question set, which is the backbone of any honest report.

Schema validation

Confirms markup parses and, more importantly, that it matches the page.

Rendering checks

What a crawler sees when JavaScript does not execute.

Brand monitoring

Third-party mentions, which are the raw material of corroboration.

What does a sensible first quarter look like?

Baseline, technical access, restructuring, entity and corroboration work, then re-measurement against the same prompt set.

Ninety days is long enough to show movement and short enough to act on. The order matters more than the speed.

Weeks 1-2

Build the prompt set and measure the baseline. Nothing else should start first.

Weeks 3-4

Confirm crawler access and rendering. Restructuring before this wastes the work.

Weeks 5-8

Answer-first restructuring of the pages that should be cited.

Weeks 9-10

Entity definition and the beginning of corroboration work.

Weeks 11-12

Re-measure the same set and report what moved.

Quarterly

Re-check platform behaviour, because it changes underneath you.

Who in the business asks which question?

Six roles, six different first questions — and a brief that answers all six moves faster.

Most stalled AEO projects stall because one of these six was never answered.

CMO

‘What business outcome does this produce?’ Answer in terms of influence on the buyer before the click, not referral sessions alone.

Head of SEO

‘What differs from what we already do?’ Usually the honest answer is: the structural rewriting and the measurement, not the technical work.

Content lead

‘What changes in the brief?’ Answer first, then explain. That is most of it.

Developer

‘What do you need from me?’ Crawler rules, rendering, and schema that matches.

Analyst

‘How is this measured?’ A fixed prompt set and five numbers.

Founder

‘Is this worth doing at all?’ Only if buyers research before shortlisting.

‘What differs from what we already do?’ Usually the honest answer is: the structural rewriting and the measurement, not the technical work.

Where does each term show up in real buyer language?

Buyers rarely use any of these acronyms. They describe the problem instead, which is why prompt sets beat keyword lists.

Ten phrasings we see repeatedly, and which label each one maps to.

‘Why doesn’t ChatGPT mention us?’

Maps to AEO. The commonest entry point by a wide margin.

‘How do we show up in AI search?’

Maps to GEO or AEO interchangeably.

‘Can we optimise for LLMs?’

Maps to LLM SEO, usually asked by a technical stakeholder.

‘Our competitor gets recommended and we don’t’

Maps to share of voice, a measurement question.

‘AI is saying something wrong about us’

Maps to answer accuracy, often the urgent case.

‘Is SEO dead?’

Maps to nothing specific, and is usually the start of a real conversation.

‘What is GEO?’

A definitional question, answered at the top of this page.

‘Do we need a separate AI agency?’

Almost always no; the work overlaps your existing scope.

‘How would we even measure this?’

The best question on the list, and the one to answer first.

‘Should we block the AI crawlers?’

A business decision about content rights, not a tactic.

Video: search, AI and measurement

Background viewing on search and measurement. The terminology material on this page is written out in full above; these are context rather than the answer to anything here.

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