Two acronyms keep appearing in conversations about modern search: GEO and AEO. Both are used to describe optimisation for AI-powered search tools. Both are contrasted with traditional SEO. And both are, frustratingly, used to mean slightly different things depending on who you ask.
This post is going to clear that up. We'll define each term properly, explain where the overlap lies, where they diverge, and - most importantly - what any of this actually means if you're trying to get your business found by tools like ChatGPT, Perplexity, or Google's AI Overviews.
Defining GEO: Generative Engine Optimisation
GEO stands for Generative Engine Optimisation. The term was popularised following a 2023 academic paper from Princeton, Georgia Tech, and other institutions, which studied how content changes affected visibility in AI-generated responses. The paper used "generative engine" to describe tools like Bing Chat and Google SGE (now AI Overviews) - search engines that generate a synthesised answer rather than returning a ranked list of blue links.
So GEO, strictly speaking, is about optimising your content to be included in those generated answers. The focus is on the content itself: how it's written, how authoritative it appears, whether it's cited, whether it uses statistics and quotes, and whether it answers questions in a format that a language model can easily extract and summarise.
The researchers behind the original GEO paper found that certain content strategies significantly increased the likelihood of being cited in AI-generated responses. Adding statistics increased visibility by around 40% in their tests. Fluency and quotability also played a measurable role. These aren't abstract principles - they're signals that the underlying models appear to weight when selecting which sources to surface.
Defining AEO: Answer Engine Optimisation
AEO stands for Answer Engine Optimisation. It's a slightly older term and covers a broader set of practices. The core idea is that search engines - and increasingly AI tools - are being used as answer engines, not just search engines. People aren't browsing results anymore; they're asking a question and expecting a direct answer.
AEO traditionally focused on things like featured snippets, People Also Ask boxes, and voice search. If you wanted your content to be read aloud by Google Assistant or appear in a zero-click snippet at the top of the results page, AEO was the discipline for that.
More recently, the term has expanded. Many people now use AEO to describe optimisation for AI tools like ChatGPT and Perplexity, because those tools are also answer engines - they just operate on a different technical basis than Google's snippet extraction.
This is where the two terms blur together. Some practitioners use GEO and AEO interchangeably. Others use AEO as the umbrella term and GEO as a subset. Still others treat them as completely separate disciplines. There's no governing body handing out official definitions, so you'll see real variation in how people use them.
Where GEO and AEO Overlap
Despite the definitional ambiguity, both GEO and AEO point at the same underlying shift in how people find information. Search behaviour has changed. A growing number of users are starting their research with ChatGPT or Perplexity rather than Google. Even within Google, AI Overviews are absorbing clicks that used to flow to organic results.
Both approaches share several common tactics:
- Writing content that directly answers specific questions, rather than burying the answer in filler text
- Using structured formatting: clear headings, bullet points, numbered steps
- Building topical authority by covering a subject in depth across multiple pieces of content
- Earning citations and mentions from other trusted sources
- Making sure the factual claims in your content are accurate and verifiable
If you're doing GEO well, you're almost certainly doing a form of AEO too. The disciplines are closely related because the systems they're targeting - generative AI tools and answer engines - are increasingly the same systems.
Where They Actually Differ
The meaningful difference comes down to technical depth and scope.
GEO is primarily about content signals
The academic framing of GEO is quite specific. It focuses on how the content itself is written and structured so that a large language model (LLM) is likely to include it in a generated response. Statistics, authoritative quotes, clear attribution, fluency, and directness all factor in. GEO is essentially asking: "What makes an LLM prefer this source over another when constructing an answer?"
AEO has a broader technical remit
AEO, especially in its more modern interpretation, tends to include the technical infrastructure that helps AI tools understand and trust your content. This includes schema markup, structured data, your robots.txt configuration, your llms.txt file, and whether your site is structured in a way that AI crawlers can actually access and parse.
Schema markup is a good example. Adding FAQPage schema or Product schema to your pages doesn't change how a human reads your content, but it gives AI systems a machine-readable layer of context that makes it easier to extract accurate information. That's an AEO technique (and increasingly a core part of AI visibility work) that doesn't fall neatly under the GEO definition as originally framed.
At FlinnSchema, most of what we do sits in this technical AEO space: structured data implementation, schema markup for e-commerce and service businesses, and making sure that AI crawlers can index and understand a site's content accurately. The content strategy side of GEO matters too, but for many businesses the technical foundation is the bigger gap.
How This Fits Into the Broader AI Visibility Picture
Both GEO and AEO are subsets of something that's increasingly being called AI visibility: the overall measure of how well your business shows up when people use AI tools to research, compare, or make decisions.
AI visibility matters because customers are genuinely using ChatGPT and similar tools to find businesses. This isn't a speculative future trend. It's happening now, particularly in higher-consideration purchase categories where people want to understand their options before committing.
Traditional SEO tactics don't automatically transfer. You can rank on page one of Google and still be completely invisible to ChatGPT. The signals that Google's algorithm weights are not the same signals that LLMs use when constructing responses. Backlinks matter less. Page speed is largely irrelevant. What matters is whether AI systems have clean, structured, trustworthy information about your business.
GEO and AEO are both attempts to describe what good looks like in this new environment. The terminology is still settling. In five years, we might not use either term much. But the underlying practices - writing clear, direct, well-structured content and giving AI systems the technical signals they need to understand it - those will only become more important.
Practical Steps for Both GEO and AEO
If you want to apply both disciplines to your own site, here's where to start.
For GEO (content-focused)
- Audit your existing content for directness. Does each page answer a specific question clearly? If you bury the answer in three paragraphs of context, rewrite it so the answer comes first.
- Add supporting statistics and data points where relevant. Cite your sources. LLMs appear to treat cited, fact-dense content as more authoritative.
- Build topical depth. A single well-written page is less powerful than a cluster of pages that cover a topic from multiple angles.
- Write in plain, quotable language. If a sentence is something an AI could extract and repeat as a useful answer, that's a good sign.
For AEO (technical and structural)
- Implement schema markup relevant to your business type. E-commerce sites should have
Product,Review, andOfferschema. Service businesses should haveLocalBusinessandServiceschema. FAQ content should useFAQPageschema. - Check your robots.txt file to make sure you're not accidentally blocking AI crawlers. Some common configurations block Googlebot but also inadvertently block AI research bots.
- Consider adding an llms.txt file to help AI systems understand the structure and purpose of your site. Read more about what llms.txt is and whether you need it.
- Run an audit to see how your business currently appears in AI tools. FlinnSchema's free AI visibility audit covers this for e-commerce and service businesses.
Which Term Should You Use?
Honestly, it doesn't matter much. Use whichever term your audience understands. GEO is the more academically precise term when you're specifically talking about content optimisation for generative AI responses. AEO is the more widely recognised term when you're talking to marketers or clients who are familiar with SEO history.
What matters is the practice, not the label. The businesses that invest in clear content, structured data, and AI-accessible site architecture will be better positioned as AI search continues to grow. The ones that wait and see will find themselves in the same position as businesses that ignored mobile optimisation in 2012 or ignored Google search entirely in 2000.
The search landscape is shifting. GEO and AEO are both useful frameworks for thinking about how to respond to that shift. Use both.
Frequently Asked Questions
Is GEO the same as AEO?
Not exactly. GEO (Generative Engine Optimisation) specifically refers to optimising content to appear in AI-generated responses, with a focus on content signals like statistics, clarity, and quotability. AEO (Answer Engine Optimisation) is a broader term that covers both content and technical strategies for appearing in direct-answer formats, including schema markup and structured data. Many practitioners use the terms interchangeably, but GEO has a more precise academic definition rooted in how large language models select sources.
Do I need to do both GEO and AEO?
In practice, yes. The technical side of AEO (schema markup, structured data, accessible site architecture) and the content side of GEO work together. One without the other leaves gaps. A beautifully structured site with thin content won't perform well. Neither will rich, detailed content on a site that AI crawlers can't properly index or understand.
How is GEO different from traditional SEO?
Traditional SEO is primarily about ranking on a search results page. GEO is about being included in a generated answer that may not link to your site at all, or may cite you as one of several sources. The signals are different: backlinks and domain authority matter less in GEO than content clarity, factual density, and topical authority. This post covers the differences in more detail.
How do I know if my site is already optimised for GEO or AEO?
The simplest way is to ask ChatGPT, Perplexity, and Gemini about your business or your product category and see whether your brand appears in the responses. If it doesn't, that's a signal worth investigating. A structured audit of your schema markup, content, and crawler accessibility will tell you where the gaps are and what to prioritise first.