GEO, AEO, LLMO: what the acronyms mean and which one applies to your company

In practice this means creating content that AI can easily understand, that it trusts thanks to its sources, and that it can bring up in an answer. None of these approaches replaces traditional SEO – they work alongside it and reinforce each other.

What are GEO, AEO and LLMO?

GEO (Generative Engine Optimization) is designing content and a website so that generative answer engines can find, understand and use your materials. You put the emphasis on clear definitions, substance backed by sources, and a format that makes it easy for AI to quote a passage in context.

AEO (Answer Engine Optimization) goes a step further and concerns the answer itself. The point is to answer users' questions directly, in the form and language that AI search engines prefer. So you write precisely, use a question–answer layout and create content that an algorithm can safely summarize, naming your brand as the author.

LLMO (optimization for language models) in turn concerns how a model understands a topic and what it associates your brand with. The more semantically consistent your material, the clearer the attribution and the more "learnable" the content, the greater the chance that the model will link the brand with the topic and readily reach for your source.

Why does this matter? According to a 2025 McKinsey report, about half of consumers already use AI-powered search, so optimizing for traditional search engines (SEO) and for AI search engines (AEO) is equally important. These three terms organize how you think about content: from the basics of AI visibility (GEO), through the answer format (AEO), to being "understandable" for models (LLMO).

Optimizing for GEO and AEO is now the foundation of a content strategy – without it, it is hard to get your brand mentioned consistently in AI answers. The key is a clear answer to the question, strong attribution of sources and a format that models can easily process.

How do GEO, AEO and LLMO affect visibility in search engines?

In AI search engines, each approach is responsible for a different stage. GEO makes your content get recognized at all as a good and safe source to cite. AEO increases the chance that it becomes the direct answer. LLMO helps the model associate the brand with the topic correctly, so it reaches for your materials when it generates an answer.

This work pays off in traditional search engines too. A clear Q&A structure, logical headings and strong attribution of sources build authority and help algorithms recognize search intent. What you do for AEO and LLMO – precise answers, sources, quotes – therefore often supports classic SEO as well.

The stakes are high: according to McKinsey, brands unprepared for AI search may lose 20% to 50% of their traffic from traditional search engines. Visibility in AI answers is therefore already an integral part of total search visibility, not a separate channel.

There is good news too. A study by Princeton researchers (GEO: Generative Engine Optimization, KDD 2024) found that adding sources, quotes and statistics to content increased its visibility in generative engine answers by 30–40%. Attribution and credibility translate directly into how readily models bring up material and mention a brand.

What are the key differences between GEO, AEO and LLMO?

The simplest way to compare them is by goal. GEO is meant to make content "citable" and friendly to generative answer engines. AEO is meant to make you answer a specific question in a way that an algorithm can easily summarize and present as the right answer. LLMO builds consistency and models' trust in your content through clear definitions and attributions.

This results in a different scope of work. With GEO you deal with information design, content hierarchy, completeness of the material and the formats AI likes to use. With AEO you work on the style of answers, FAQ sections, precise leads and "answer-first" paragraphs. With LLMO you take care of semantic consistency, consistent naming, and clear footnotes and quotes.

The effect you observe is different too. Well-done GEO shows in AI reaching for your materials more often as a credible source. AEO gives you more frequent answers taken straight from your content and more brand mentions. LLMO brings more stable and more accurate associations between the brand and topics.

Measurement looks similar for GEO and AEO: you check whether the brand is mentioned in AI answers and which questions "bring" mentions. With LLMO, on the other hand, you look at whether materials with full attribution are cited more often and whether models summarize your content correctly.

In practice these are three layers of one strategy: preparing content for citation (GEO), formatting it as an answer (AEO) and making sure models understand the material and trust it (LLMO).

How do you put GEO and AEO into your marketing strategy?

It is best to roll it out step by step:

1. Collect the real questions your customers expect short, factual answers to, group them by topic and match them to existing or planned content.
2. Write "answer-first": open a paragraph with a direct answer and develop the context only afterward, in short paragraphs and plain language.
3. Add attributions and quotes – models make better use of materials with clearly stated sources.
4. Create FAQ sections that help AI search engines quickly match a passage to a query and safely summarize it.
5. Keep the naming of products, services and categories uniform, so models build stable associations with your brand.
6. Think like a "source publisher": create guides, definitions and studies with a clear structure and conclusions that can be brought up in an answer.
7. Look for gaps – topics where AI mentions competitors rather than your brand – and fill them with content that has strong attribution and a Q&A format.

Since about half of consumers already use AI search, every publication that answers recurring user questions is worth checking from an AEO and GEO angle. The Princeton study, in turn, suggests how to edit it: sources, quotes and statistics increase the chance that a model will reach for it.

What are the benefits of optimizing for GEO and AEO?

The main benefit is a greater chance that the brand will be mentioned in an AI answer – and that is exactly what the user sees when asking for a recommendation or a definition. Along the way you diversify your visibility: you work in traditional SEO and in the AI answer ecosystem at the same time, so you depend less on a single channel.

The two layers support each other. Clear answers, strong headings and attributions also help classic algorithms assess the value of content. The work on GEO and AEO itself raises the quality of your materials, because you tidy up definitions, add credible sources and make the topic easier to understand.

Optimization also lets you fill "blind spots" faster, that is, create content where AI already answers, but without your brand yet. Given the risk of losing 20% to 50% of traffic from traditional search engines and the 30–40% visibility gain from adding sources, quotes and statistics, systematically combining SEO with AEO has a strong business case.

How can Attent help monitor brand visibility?

Attent is a monitoring tool for brand visibility in AI answers – a product of Green Parrot sp. z o.o. of Warsaw, an agency with a team of over 100 specialists. Every week it asks your customers' questions in four engines: ChatGPT, Gemini, Perplexity and Google AI (AI Overviews). It shows whether the brand was mentioned in the answer, whom AI recommends alongside it, which sources AI draws its knowledge from and what is worth changing.

In practice you get, among other things:

• a brand AI visibility score and share of voice against competitors,
• "blind spots" – questions where AI mentions competitors, not your brand,
• a list of sources cited by AI,
• alerts about changes,
• a board report in PDF,
• a content generator,
• a Google Search Console integration.

The tool has analyzed millions of AI answers, and 78 companies use it. Plans (net per month): Starter $100, Growth $225, Agency $560 (reports and a dashboard under the agency's logo, pitch audit), Enterprise from $1,525. Starter and Growth come with no fixed-term contract. To get started all you need is a domain, a brand name and a list of competitors. You can book a call about monitoring at getattent.com.

The future of SEO in the age of AI

SEO is not going away – what changes is the scope of what "visibility" means. Alongside positions in results comes the question of whether your brand is mentioned in AI answers and which sources models draw their knowledge from. That is why GEO, AEO and LLMO are no longer an add-on and are becoming a permanent part of strategy.

You can take the first steps right away. Rework your most important content so that the first sentence answers the user's question, and add credible sources and quotes that support citability. Tidy up naming and definitions so models consistently link the brand with the right topics. At the same time, start monitoring which AI answers the brand appears in and where "blind spots" arise.

A plan that combines SEO with AEO and GEO is the natural direction of development. If you add LLMO to it, taking care of clarity and attribution, you will increase the chance that models correctly associate and cite your content – and that is a practical route to stable visibility in the era of AI-generated answers.

Sources

1. McKinsey & Company – New front door to the internet: Winning in the age of AI search, 2025
2. Aggarwal i in. (Princeton University) – GEO: Generative Engine Optimization, KDD 2024