AEO vs GEO: Different Names, Same Goal

Many clients ask us the same question: what is the difference between AEO, GEO, and AI SEO?

The honest answer is: not much.

AEO stands for Answer Engine Optimization. GEO stands for Generative Engine Optimization. AI SEO is a newer, simpler way to describe the same shift. All three terms refer to helping a brand appear more often, more accurately, and more prominently in answers from platforms like ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews.

At Visibly AI, we call the outcome AI Visibility. It describes how visible, accurate, and competitive your brand is across AI-generated answers, regardless of which optimization term the industry eventually settles on.

There is a distinction on paper, but it matters less every day.

Where the two terms came from

AEO is generally framed around optimizing content for systems that give users a direct answer. That includes search features, AI assistants, and increasingly, AI agents.

GEO is more specific to answers created by generative AI. The term was formally introduced in a research paper published at KDD in 2024. The researchers defined Generative Engine Optimization as a way for content creators to improve their visibility inside responses generated from multiple sources.

That difference made sense when answer engines and generative AI felt like separate categories. Today, the products have converged. ChatGPT can search the web and cite sources. Google Search generates answers with AI. Assistants are becoming agents. In practice, the same platforms now retrieve information, interpret it, and turn it into an answer.

Even the major players use the language this way. Microsoft's guide to AEO and GEO gives the terms slightly different definitions, but discusses them as parts of the same shift in how brands are discovered. More directly, Google's official guidance says both AEO and GEO are used for work focused on improving visibility in AI search experiences.

What is AI SEO?

AI SEO is the clearest bridge between traditional SEO and AI search optimization. It applies the same discipline of making content accessible, useful, and authoritative, but expands the goal beyond ranking in a list of links.

With AI SEO, you also care about whether your brand is mentioned, cited, compared, and recommended inside an AI-generated answer.

You may see this work described as LLM optimization, LLM SEO, generative AI optimization, or AI search optimization. The wording changes, but these terms all sit within the same emerging category.

Do AEO, GEO, and AI SEO require different strategies?

Technically, they come from slightly different starting points. In practice, they lead to the same core work:

• Make your content easy for search engines and AI platforms to access.
• Publish clear, useful, original information that answers real questions.
• Support claims with reliable facts, sources, and first-hand expertise.
• Keep your brand and product information accurate across the web.
• Measure when your brand is mentioned, cited, or recommended in AI answers.

Together, these activities improve a brand's AI Visibility and AI share of voice. The fundamentals are not platform tricks. Google says its existing SEO foundations still apply to generative AI search, while OpenAI's guidance for publishers starts with making content accessible to its search crawler so it can be discovered, surfaced, and cited.

Which term should brands use?

If I had to choose one optimization term, I would use AEO. It describes the outcome clearly: becoming part of the answer. AI SEO is also useful because most teams immediately understand how it connects to the work they already do.

But I would not spend too much time debating the acronym. There is no official winner, and the terminology will keep changing as search engines, assistants, and agents continue to merge.

AI Visibility is the more useful concept because it keeps the focus on the result. Are you present in the answers? Is the information accurate? Are competitors being recommended instead of you? What is your AI share of voice?

The question that matters is much simpler: when someone asks an AI platform about your category, does your brand show up?

At Visibly AI, we help brands answer that question. We track where products appear in AI search, explain why competitors are being recommended, and show teams what they can do to improve their AI Visibility.