GEO, AEO, AIO, SXO, SGE: several acronyms for a single job
GEO, AEO, AIO, SXO, SGE: the list of acronyms keeps growing, and each one arrives with its own invoice line. Google settled the question in May 2026: optimizing for its generative features is SEO. Stacking acronyms is first and foremost a sales tactic. Only two things are genuinely new, and only one justifies spending separate from your budget.
- An acronym is not a method. Most of them name the same underlying work, that is indexing, structure, quality and authority, under a new name.
- Google acknowledges the AEO and GEO acronyms and writes that, from its point of view, this is SEO, because its generated answers rely on its usual ranking systems.
- SGE no longer exists under that name. Google's generative experience shipped as AI Overviews, then Google added AI Mode. A vendor still selling SGE is selling an outdated acronym.
- What is genuinely new comes down to two points: the surfaces outside Google and measurement, which gives impressions but never clicks. Only one of the two, tracking on the surfaces outside Google, translates into a separable expense.
- A quote that bills one acronym per line, without breaking out what already falls under your current SEO, makes you pay twice for the same work.
On this page
What is an optimization acronym
An optimization acronym is a marketing label for optimizing content for a given search surface. SEO targets the engine; GEO, AEO and AIO target generated answers; SXO adds experience and conversion; SGE was the former name of Google's generative experience. These labels describe surfaces and objectives, not distinct methods: the underlying work that serves them, that is indexing, structure, quality and authority, is shared.
What each acronym means
This article is for the executives who receive quotes that stack acronyms and want to know what they are really paying for. It is not aimed at SEO specialists, who already know the substance, but at the person weighing a budget who has to tell a new discipline apart from a simple change of label.
| Acronym | What it refers to | What it actually adds to SEO |
|---|---|---|
| SEO | Optimization for the search engine | The foundation: indexing, structure, quality, authority |
| SEM | SEO plus paid advertising on the engine | The paid side, long familiar |
| GEO | Being cited in generative answers | Nothing new on the work side: the same ranking systems, according to Google |
| AEO | Optimizing for answer engines and snippets | Answer-first structure, which is already SEO |
| AIO | AI optimization or AI indexing | A marketing variant of GEO and AEO |
| SXO | Search plus experience and conversion | Overlaps with conversion and experience work, not a new discipline |
| SGE | Former name of Google's generative experience | Outdated: shipped as AI Overviews, then rounded out by AI Mode |
| LLMO, Search Everywhere | Umbrella terms for optimizing everywhere | Generic, no method of their own |
What is identical, and what Google confirms
The short answer comes from Google itself. In its documentation published in May 2026, it acknowledges the AEO and GEO acronyms and writes that, from its point of view, optimizing for generative search amounts to optimizing for the search experience, so it is SEO. The reason is technical: its generative features rely on its ranking and quality systems, and on retrieving documents from its index. A page that is neither indexed nor well ranked will not be picked up in a generated summary. The work of crawling, indexing, structure and quality is not duplicated: it serves both surfaces, for a single cost.
Google goes further and explicitly rules out a series of practices sold as AI-specific. Machine-readable files and text files for AI, which the well-known llms.txt falls under, pre-chunking content into fragments, rewriting aimed at every variant of a term, and Markdown versions or special markup. Each of these lines nonetheless shows up in quotes billed in Quebec, at a price no result will ever justify. It is the most avoidable cost in the whole subject, and the first to remove from a budget.
What actually differs
Two differences remain, and it is better to name them precisely than to blend them into a story of disruption. The first is the surface: assistants outside Google fall entirely outside its documentation and its measurement. The second is measurement itself: Google now provides impressions for its generated answers, in a dedicated Search Console report, but never clicks, and the other surfaces provide nothing at all.
Only one of these two differences translates into a distinct expense. The surfaces outside Google offer no platform-provided measurement: presence there is tracked, by hand or by tool, against a list of questions fixed in advance. It is real, monthly work whose cost can be quantified, and it is the only budget line honestly separable from an SEO engagement. Everything else belongs to the budget you already pay.
That leaves the click, which adds no expense but imposes a discipline in how you read the numbers. When a generated summary is shown, the share of clicks to sites drops. Funding a citation while expecting traffic leads to guaranteed disappointment, then to cutting work that was building awareness. A citation buys a presence in the answer, not a visit. Confusing the two is the most costly mistake in the subject, because it makes a visibility investment be judged on a sales promise it never made.
The tactic to recognize
Creating a separate page per acronym, one for GEO, one for AEO, one for AIO, one for SXO, gives the impression of a catalogue of disciplines. It is mostly a way to multiply entry points and invoice lines for a single job. The executive comparing two vendors does not need one more acronym, they need to know which of the two knows what it is selling and at what price. A vendor who stacks acronyms without ever saying what they share in common answers the first question, never the second. The difference is paid in budget clarity: a readable quote can be steered, an acronym-filled quote is simply endured. The method for reading a proposal line by line is the same as for any engagement, and we detail it in our article on optimizing for answer engines.
What to settle when facing a quote that stacks acronyms
An acronym-based quote gets expensive when it rebills, under a new name, work your SEO already pays for. The risk is not missing a discipline, it is duplicating a cost. These five questions get settled before signing.
- What does this quote contain that our current SEO does not, line by line?
- What share of the price covers content work, and what share covers measurement?
- On which surfaces outside Google do we want to be seen, and why those rather than others?
- Who tracks the answers, how often, and on which questions?
- If no citation is recorded within nine months, what do we stop and who makes the decision?
Good sign: the quote clearly breaks out content and measurement, leans on Google's documentation and names the targeted surfaces. Bad sign: it bills a proprietary file or markup, presents each acronym as a new discipline, or promises traffic from AI without showing where the number would come from.
Bringing a reading grid to a proposal that stacks acronyms is exactly the kind of work we deliver in a paid audit, as a written summary your team keeps.
The most expensive quotes are not the ones that do the most work, they are the ones that name it best. A vendor who presents five acronyms as five distinct specialties bills five lines for an engagement that, done properly, has one and a half. That one and a half is the SEO you already pay for, plus the tracking of the surfaces outside Google. Everything else is vocabulary. The executive who keeps this benchmark in mind negotiates on substance and brings the price back to what the work is worth, instead of paying for an acronym by the pound. The budget recovered this way funds real work rather than vocabulary, and that is where the return on a visibility spend is won.
Executing on generated answers, without duplicating what your SEO already does, is at the heart of the Strengthen your visibility in AI answers goal.
Want to frame your presence in answer engines first? See our work in generative engine optimization.
Frequently asked questions about optimization acronyms
Are GEO and SEO really the same thing?
For the underlying work, yes, and Google says so. Optimizing for its generated answers rests on the same ranking systems as classic SEO. The only difference that drives a dedicated expense is monitoring the surfaces outside Google, where no measurement is provided by the platform. The rest is SEO your budget already covers.
Do you need an llms.txt file to be cited by AI?
No. Google writes that no machine-readable file or text file meant for AI is necessary to appear in its generated answers, and llms.txt falls into that category. It is one of the practices it rules out. Paying for it means buying a budget line with no measurable return on your sales.
Does SGE still exist?
No, not under that name. Google's generative experience, long called SGE, shipped as AI Overviews, and Google then added AI Mode. A quote that still talks about SGE leans on outdated vocabulary, which is a first signal about how current the vendor is.
How many acronyms do you really need to track?
Just one useful concept: the surface where your business appears. On which surfaces are you seen, and which one provides a measurement? This question replaces all the competing vocabulary and can be verified, where an acronym cannot. It also brings the decision back to a clear budget trade-off rather than a list of acronyms.
- Google Search Central, documentation on optimizing for generative search, published May 2026, accessed July 2026. Source of the position that optimizing for generative features amounts to SEO, and of the list of ruled-out practices.
- Google, rollout of AI Overviews from the Search Labs experience, May 2024, accessed July 2026. Source of the name change and of the later addition of AI Mode.
- Pew Research Center, drop in click-through rate when a generated summary is present, browsing data from March 2025, published July 2025. Source of the 8% and 15% click-through rates.
- Google Search Console, performance report on generative search, 2026, accessed July 2026. Source of the measurement limited to impressions for generated answers.
Gabriel almost always takes your first call and carries out your audit. He builds the strategy starting from your growth goal: where to put your budget, which market to test and how to connect each lead to a real sale in your CRM. He mainly leads engagements for three goals: Optimize the profitability of your digital campaigns, Develop a new market, and Generate demand and growth. With Geneviève, he also works on organic search (SEO), AI visibility (GEO) and conversion rate optimization (CRO). The sales a Google Ads or Meta Ads campaign brings in depend on the page that receives the click. He writes mainly about marketing strategy, paid advertising and measurement.
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