AI SEO, GEO, and AEO mostly describe the same job: getting your business named when an AI answers a question. The terms come from different places and carry slightly different scope, and the work behind all of them is about ninety percent the same. So the label matters less than most of the marketing around it wants you to think.
Here's what each one means, and which word is worth your attention.
The short answer
AI SEO is a loose, catch-all phrase for using AI in search work, or doing SEO for AI-powered search. GEO stands for generative engine optimization: getting cited inside AI-generated answers from tools like ChatGPT and Perplexity. AEO stands for answer engine optimization: getting picked as the answer across answer surfaces, including Google AI Overviews and featured snippets. In day-to-day use, GEO and AEO point at nearly the same work.
The label you use matters less than whether the work gets done.
What each term means
AI SEO
AI SEO is the least precise of the three. People use it two ways. Sometimes it means using AI tools to do ordinary SEO faster: drafting content, clustering keywords, auditing a site. Sometimes it means optimizing so AI search recommends you. The phrase shows up most in ads and tool names, because it's the term people type when they don't know the field has more specific words yet.
GEO: generative engine optimization
GEO is the practice of getting your content cited inside answers an AI generates. The term comes from a 2023 research paper, "GEO: Generative Engine Optimization," by a team affiliated with Princeton, IIT Delhi, Georgia Tech, and the Allen Institute for AI, published at the ACM KDD conference in 2024. "Generative engines" in that paper means systems like ChatGPT and Perplexity that write an answer from multiple sources instead of listing links. GEO is the work of becoming one of those sources.
AEO: answer engine optimization
AEO is the practice of getting your business chosen as the answer across the surfaces that give one. That includes AI chat answers, and it also includes Google AI Overviews, featured snippets, and voice results. AEO is the term we use most at Answer Visible, because "answer engine" covers every place a customer gets a single answer instead of a page of options, not only the chat tools.
The other labels
You'll also see LLMO (large language model optimization), GSO (generative search optimization), AI search optimization, and AAO (AI agent optimization). They're variations on the same theme with different emphasis. None of them describes a separate service you need to buy on top of the others.
Where they overlap
Nearly all of the work is shared. Whichever term someone uses, the same things get you cited: a fast, crawlable website, content that answers a specific question directly, structured data (schema) an AI can parse, and consistent business information everywhere an AI might check. Testing real prompts across ChatGPT, Google AI Overviews, Gemini, and Perplexity to see whether you actually show up is part of all of them too.
A business with solid SEO fundamentals is already partway to all of these. The signals an AI uses to decide who to cite overlap heavily with the signals Google has used for years to decide who to rank.
Where the terms differ
The differences are about scope and origin, and they're small. Here's the practical version.
| AI SEO | GEO | AEO | |
|---|---|---|---|
| What it means | Broad, informal use of AI in search | Getting cited in AI-generated answers | Getting chosen as the answer across answer surfaces |
| Where it targets | Varies, often unspecified | Chat-style engines (ChatGPT, Perplexity) | All answer surfaces: AI Overviews, snippets, voice, chat |
| Where the term came from | Marketing and tool names | A 2023 academic paper (Aggarwal et al.) | Practitioner term extending snippet optimization |
| How precise it is | Loose | Specific | Specific |
| Best used when | Talking casually or searching for tools | Talking about LLM chat answers | Describing the full range of AI answers |
One point worth its own sentence: none of these means keywords stop mattering. The content still has to satisfy the questions clustered around a topic, not repeat a phrase.
Which term should you use
Use the one your audience uses. If you're searching for help or tools, "AI SEO" is what most people type. If you're talking with a technical team about chat answers specifically, GEO is precise. For describing the whole job of getting picked as the answer, AEO is the clearest, which is why we default to it.
The label on an invoice tells you nothing about whether the person you're paying does the work or only reports on it. Ask about the work.
What this means for your business
Don't pick a service because it has a newer acronym than the last one. A company selling "GEO" and a company selling "AEO" are almost always selling the same work. Ask what they'll actually do. Will they fix your schema? Complete your Google Business Profile? Write pages that answer the questions your customers ask? Test whether you show up in real AI answers? Those questions cut through the vocabulary fast.
For a small business in St. Petersburg or anywhere else, the useful move is to ignore the acronym race and check whether the fundamentals are done. That's what gets you cited, whatever it ends up being called next year.
Summary
- AI SEO, GEO, and AEO overlap heavily. Roughly ninety percent of the work is the same.
- AI SEO is a loose catch-all. GEO targets AI-generated chat answers. AEO targets every answer surface, including Google AI Overviews and featured snippets.
- GEO comes from a 2023 research paper. AEO is a practitioner term. AI SEO comes mostly from marketing.
- The shared work: a fast crawlable site, question-first content, schema, consistent business data, and testing real prompts on ChatGPT, Google AI Overviews, Gemini, and Perplexity.
- Pick the term your audience uses, and judge a provider by the work they do, not the acronym they sell.
Last updated August 19, 2026. Source for the GEO term: Aggarwal et al., "GEO: Generative Engine Optimization," arXiv 2311.09735 (2023), presented at ACM SIGKDD (KDD) 2024. Term definitions reflect common industry usage as of August 2026 and are subject to change.