If you've taken agency pitches recently, you've probably heard at least three acronyms for roughly the same promise: AEO, GEO, and AISEO. Sometimes AIO gets thrown in too. Each comes with its own slide deck, and increasingly, its own line item on the proposal.
Here's the short answer before we unpack it: AEO (answer engine optimization) and GEO (generative engine optimization) describe overlapping goals — getting your brand into the answers that search engines and AI assistants generate. AISEO describes a way of working — using AI to run the optimisation itself, continuously. You don't need three separate services. You need one strategy that understands where answers come from, and you should be suspicious of any proposal that bills these as separate deliverables.
Now the longer version, because the differences that do exist are worth understanding.
Where AEO came from
Answer engine optimization is the oldest of the three terms. It predates ChatGPT. In its original usage, AEO meant optimising for the parts of Google that answer questions directly on the results page: featured snippets, "People also ask" boxes, and voice assistants like Siri and Alexa reading out a single result.
The playbook was concrete. Structure content as clear questions and answers, mark it up with schema, keep answers short enough to be read aloud, and win the "position zero" box above the organic results.
That work still matters. But the term has since been stretched to cover AI chat answers too, which is where the confusion with GEO starts. When an agency says "AEO" in 2026, they might mean the classic snippet-and-schema work, the new AI-assistant visibility work, or both. It's worth asking them to be specific, because the two require different effort in different places.
Where GEO came from
Generative engine optimization is the newer, more precise term for AI-answer visibility. It entered common usage after a 2024 academic paper (presented at KDD 2024, from a team spanning IIT Delhi, Princeton, and Georgia Tech) which tested how content changes affect visibility in AI-generated responses. Their most cited finding: adding quotable statistics and citing sources made content substantially more likely to be referenced, with a visibility lift of around 40% in their tests, while old-fashioned keyword stuffing actually reduced it.
GEO targets the systems that synthesise answers rather than list links: ChatGPT, Perplexity, Google's AI Overviews, Gemini, Claude. We've written a full explainer on what GEO is and a practical eight-change implementation guide, so we won't repeat the mechanics here.
The honest way to think about the relationship: GEO is what most people now mean when they say AEO. The venn diagram isn't quite a circle (classic AEO includes voice-assistant and snippet work that GEO conversations often skip), but the overlap is large and growing.
So what's AISEO?
AISEO is different in kind, and this is the distinction that actually matters when you're buying.
AEO and GEO name a goal: appear in answers. AISEO names a method: using AI systems to do the optimisation work itself — keyword discovery, content updates, testing, monitoring — continuously rather than in monthly batches. It's the difference between what you're optimising for and how the optimisation gets done.
That's the model we run at LOMA. For a Singapore F&B client of ours, the work was a running system rather than a one-time "GEO audit" followed by a PDF: content structured for extraction, updated as AI platforms changed behaviour, and checked against what ChatGPT, Gemini, and Perplexity actually say when someone asks for recommendations in their category. The goal was GEO. The method was AISEO. Same engagement.
You'll also see "AIO" — AI optimisation — used as an umbrella for all of this. We use it ourselves. It's a family of terms, not a family of services.
The position we'd want you to push back on
Our view, stated plainly: an agency that quotes AEO, GEO, and AISEO as separate line items is either confused about the terms or hoping you are.
The underlying work overlaps almost entirely. Content that answers questions directly, structured data, credible sourcing, pages that AI crawlers can actually read, and ongoing measurement of what the AI platforms say about you. Do that work once, well, and you've done "AEO" and "GEO" simultaneously, because the answer engines and the generative engines are reading the same website.
There's a reasonable counterargument: specialisation. Voice-assistant optimisation genuinely differs from AI-chat visibility, and an enterprise with a smart-speaker use case might legitimately buy them separately. For a typical Singapore SME, though, that separation is padding. One retainer, one strategy, measured against both classic search and AI answers.
What to actually ask a provider
Skip the acronym quiz. Ask these instead:
- "Show me a query where your client appears in a ChatGPT or Perplexity answer, and tell me what you changed to get there." Specifics beat certifications, which mostly don't exist in this space anyway.
- "How do you measure AI visibility month to month?" If the answer is a screenshot taken whenever someone remembers, the "continuous" part of the pitch is marketing.
- "What happens to my Google rankings while you do this?" The right answer is that the work reinforces traditional SEO, because it does: clear answers and credible sources are what Google's own systems reward too.
- "Which parts of this are one-time fixes and which are ongoing?" Schema markup and site structure are largely one-time. Content freshness, new-platform behaviour, and measurement are ongoing. A proposal that can't split the two hasn't thought about it.
If you want the checklist version of the underlying work itself, our GEO implementation guide covers the eight changes we make most often, and our AISEO service page explains how the continuous model works in practice.
Frequently asked questions
Is AEO the same as GEO? Mostly, in current usage. AEO originally meant optimising for featured snippets and voice assistants; GEO specifically means optimising for AI-generated answers. Today most people use them interchangeably, and the practical work overlaps heavily. If a provider treats them as separate services, ask them to name the deliverables that differ.
Do I still need traditional SEO if I invest in GEO? Yes. AI answer engines draw heavily on sources that already rank well and demonstrate authority. GEO work builds on a sound SEO foundation rather than replacing it. A site that Google can't crawl won't fare better with ChatGPT.
How long does it take to show up in AI answers? Slower than ads, faster than you might fear. Structural changes can be reflected within weeks as AI platforms refresh their indexes, but earning citations for competitive queries takes months of consistent, credible content. Anyone promising guaranteed AI mentions in a fixed timeframe is guessing; the platforms don't publish their selection criteria.
What does AISEO cost compared to a normal SEO retainer? Comparable, and sometimes less, because AI handles work that used to be billed as analyst hours. Ask what share of the monthly number buys ongoing optimisation, and what share is one-time setup dressed up as a retainer. That split matters more than the headline figure.