GEO vs AEO vs SEO vs LLMO: What Changed and What Didn't

So which label is the "correct" one?

None of them is more correct than the others. SEO, AEO, GEO and LLMO are overlapping names for the same underlying job — getting a brand named, described and cited accurately wherever someone is searching for an answer, whether that's a ranked results page, a direct-answer box, or a sentence an LLM generates. They differ mainly in which surface they emphasize and which metric gets reported against them, not in some deeper methodological split.

Google's own guidance on optimizing for its AI features puts this plainly. Asked whether classic SEO practice still applies to its generative features, the guide answers: "In short, yes! The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems." That's a statement about Google's own features specifically — it says nothing about ChatGPT, Perplexity or Claude — but it's a useful anchor: even the company running query fan-out and AI Overviews treats this as an extension of ranking and quality work, not a separate discipline. For a broader look at what that guidance covers, see our walkthrough of Google's AI search optimization guide.

How do goals and metrics actually differ?

Here's where the labels diverge in practice, even if the work underneath mostly doesn't:

The GEO metric above comes from the term's own origin: a 2023 Princeton/Georgia Tech paper (accepted to KDD 2024) proposed "Generative Engine Optimization" as a formal framework and introduced a position-adjusted word-count metric — essentially, how many words of an AI answer trace back to your source, weighted so that an earlier citation counts for more than a buried one. The paper reported visibility gains as high as 40% on its own benchmark from tactics like adding direct quotations and statistics. That's an academic result on the paper's own test set, not a guarantee for any specific brand or engine — but it's the closest thing GEO has to a formal metric, and it's a useful model for "citation frequency" even if your team doesn't run the exact same math.

Which tactics are shared, and which are genuinely new?

Shared across all five labels: write content that directly answers a specific question, structure pages so the answer is easy to extract (clear headings, one claim per paragraph), keep facts about your product accurate and consistent across your own site, and earn or maintain third-party mentions. None of that is new — it's the same groundwork SEO has asked for since featured snippets existed.

What's new, and specific to GEO/LLMO-style work: optimizing for quotation rather than ranking. An LLM doesn't show your page; it paraphrases or quotes a fragment of it, sometimes without a visible link at all. That shifts the unit of success from "did we rank" to "did the model name us, describe us correctly, and point to something true." Our explainer on GEO covers the mechanics of that shift in more detail, and measuring AI visibility covers how to track it over time rather than off one lucky prompt.

Why do teams end up using different terms for the same work?

Mostly budget and buyer psychology, not disagreement about the work itself. A July 2026 Fractl survey of 343 US marketing decision-makers found that 81% of marketers still say "SEO" internally when discussing AI-search strategy, and only 27% of teams have formally adopted any other term. At the same time, the survey — as covered by Search Engine Land — found that heavy, unexplained buzzword use was the single biggest red flag decision-makers cited when evaluating a vendor's pitch, named by 36% of respondents. In other words: a newer label can signal expertise in a pitch deck, but it can just as easily read as jargon that's asking a buyer to fund a second initiative for what feels like one job they're already paying for.

That tension explains most of the terminology churn you'll see in vendor marketing, including some of ours: "GEO" sounds more current, "SEO" is what finance already has a line item for, and "AI SEO" tries to split the difference.

What should a team call this internally — and how should it be reported?

Pragmatically: keep "SEO" (or whatever your team already uses) as the umbrella label if changing it would cause more confusion than it resolves, and introduce GEO or AEO only as a sub-label for the specific, newer tactics — citation tracking, direct-answer structuring — that don't map cleanly onto classic ranking work. What matters far more than the label is defining, in one sentence, what you measure under it: visibility (how often you're named), citation accuracy (whether what's said is correct), and share of voice against named competitors.

When reporting to a boss or client, lead with those metrics, not the acronym. "We appear in 40% of AI answers to buyer questions in our category, up from 25% last quarter" tells a client something. "We're now doing GEO" does not, and it invites the exact buzzword skepticism the Fractl data flags. If you're choosing a vendor or tool to help produce that number, our guide to picking an AI visibility tool and the general AI search visibility checklist are reasonable starting points.

FAQ

Is GEO just a rebrand of SEO? No, though they overlap heavily. SEO targets ranking on a results page; GEO specifically targets being quoted or cited inside an AI-generated answer, which is a different mechanism even when the underlying content work looks similar.

What's the difference between AEO and GEO? AEO (Answer Engine Optimization) is usually used for direct-answer boxes and featured snippets, including on traditional search engines. GEO is more specific to generative, LLM-based engines like ChatGPT or Perplexity. In practice, many teams use the terms interchangeably.

Should I stop calling this "SEO" on my team? Not necessarily. If "SEO" is the term your leadership already budgets for and understands, keep it as the umbrella and introduce GEO or AEO only where you need to describe a genuinely different metric, like citation rate.

Does LLMO cover more than search? Yes. LLMO is sometimes used more broadly for how any LLM describes a brand, including outside a search context — for example, in a general chat conversation rather than a search-style query. The overlap with GEO is large but not total.

Is there one "correct" industry-standard term yet? No single term has clearly won. Survey data shows most marketers still default to "SEO" internally even as newer terms circulate in vendor and conference marketing — pick a term for your own reporting and define it rather than waiting for consensus.

What to do next

1. Decide one internal label for this work and write a one-sentence definition of what you measure under it (visibility, citation accuracy, share of voice).
2. Audit your current reporting: are you leading with a metric or with a label? Swap any acronym-first slide for a metric-first one.
3. If you haven't separated "are we named" from "are we quoted correctly," start there — it's the fastest way to tell GEO-specific gaps from classic SEO gaps.

ContextOwl sells one-time AI visibility reports, not a subscription or monitoring tool. The Direct-Answer Snippet Checker checks whether a specific page of yours is written in a way that can be quoted directly as an answer.