Understand the difference between traditional SEO, GEO and AEO, and learn how to optimise your content for both search engines and AI.
Ieva Treiliha
Search engine optimisation has undergone a significant evolution in recent years. While we once focused exclusively on classic SEO using keywords and backlinks, we are now seeing the emergence of new optimisation forms such as GEO and AEO. But what is the actual difference between these types of SEO and how can your business take advantage of them to increase your online visibility?
In this article, we dive into the difference between SEO, GEO and AEO, and how you can implement these strategies in your digital marketing to achieve the best results in a world where AI-driven search is gaining ever more ground.
Before we delve into strategies and tactics, let us first define the three main types of search engine optimisation, so we have a solid foundation to build on:
SEO (Search Engine Optimisation) is the traditional form of search engine optimisation that most people are familiar with. It is about optimising your website and content so that it ranks higher in the organic results of search engines through technical improvements, relevant content and strong backlinks. The aim is to get the user to click on your website from the search results.
AEO (Answer Engine Optimisation) focuses on optimising content specifically to be displayed as direct answers in the search results, typically as featured snippets, rich results or voice search answers. Here the goal is to provide the user with a direct and precise answer to their question, often without them needing to click through to your website.
GEO (Generative Engine Optimisation) is the newest form of optimisation, focusing on tailoring content for AI-driven search engines and tools such as Google’s Search Generative Experience (SGE) and other AI platforms. Here, the aim is to structure content in a way that AI systems can generate meaningful and relevant answers based on your information.
To understand the differences between these three forms of optimisation in more detail, let us compare them across several key parameters:
With classic SEO, the objective is to achieve a high ranking in the search results and get the user to click on your website. Success is typically measured in organic traffic, CTR and conversions.
With AEO, the aim is to be displayed as a direct answer in the search results through featured snippets, rich results and voice search. Here it is about providing the user with the information they are seeking as precisely and directly as possible.
With GEO, the aim is to ensure your content is used by AI systems to generate answers to users’ questions. Success is measured by how often and how precisely your content is used as a source in AI-generated answers.
SEO uses traditional content formats such as blog posts, product pages and standard web pages, focusing on relevant keywords and user experience.
AEO prioritises structured content such as FAQ sections, how-to guides and content with structured data and schema markup to increase the chance of being shown in featured snippets.
GEO requires content that is optimised for AI understanding, focusing on semantic search, entity-based SEO and conversational content that naturally answers questions in a logical context.
SEO focuses on technical elements such as site speed, mobile optimisation, meta tags, link building and URL structure.
AEO emphasises the implementation of structured data, schema markup, microdata and other technical elements that help search engines understand content and present it as rich results.
GEO uses advanced technical aspects related to natural language processing (NLP), semantic search and AI understanding, with a particular focus on making content easy for AI to interpret and understand.
One of the most important developments in search engine optimisation in recent years is the shift from keyword-focused SEO to semantic search and entity-based SEO. These concepts are especially important for both AEO and GEO, but what do they actually mean?
Semantic search is about search engines not just matching keywords, but actually trying to understand the meaning and context behind a query. This means that search engines can now understand synonyms, related concepts and the user’s intent behind the search.
To optimise for semantic search, you should:
Entity-based SEO is an extension of semantic search, where search engines identify and categorise ‘entities’ – people, places, businesses, products etc. – and understand the relationships between them. Google uses its Knowledge Graph to build these relationships.
To optimise for entity-based SEO, you should:
Both semantic search and entity-based SEO form the basis for effective GEO and AEO, as they help AI systems to understand and interpret your content more accurately.
Answer Engine Optimisation (AEO) focuses on optimising your content so it is shown as a direct answer in the search results. But how does it work in practice, and how can you implement AEO strategies in your SEO efforts?
AEO is based on the idea that many users are looking for concrete answers to specific questions. Search engines try to accommodate this by displaying direct answers in the results through featured snippets, knowledge panels and voice search results.
The main elements of the AEO strategy include:
Featured snippets are the highlighted answers that appear at the top of search results (also known as ‘position 0’). To optimise for featured snippets, you should:
Rich results are enhanced search results with extra information such as star ratings, prices, images etc. To achieve rich results, implement structured data on your website.
With the increasing use of voice assistants such as Google Assistant and Amazon Alexa, voice search SEO has become an important part of AEO. To optimise for voice search, you should:
Structured data is a critical component in AEO as it helps search engines to understand and categorise your content. By implementing schema markup, you can:
AEO is particularly effective for businesses wishing to establish themselves as authorities in their field and offer direct value to users, even though it may potentially result in fewer clicks (so-called zero-click search or clickless search).
Generative Engine Optimisation (GEO) represents the latest development in search engine optimisation, driven by the emergence of AI-generated search results such as Google’s Search Generative Experience (SGE) and other AI-based search tools.
Unlike traditional SEO, which focuses on ranking high in search results, GEO is about optimising your content so that it is used as a source when AI systems generate answers to user questions.
GEO is based on how generative AI models process and understand information. These AI systems analyse large volumes of content to generate new, coherent answers based on user queries.
For your content to be chosen as a source for these AI-generated answers, it must:
For e-commerce businesses, GEO is especially relevant, as many product searches now can result in AI-generated buying guides and product recommendations. Here are some strategies specifically for e-commerce:
Google’s Search Generative Experience (SGE) is an example of how AI-driven search is changing the way we interact with search engines. Instead of simply displaying links, SGE generates an AI-written answer based on information from various sources.
To optimise for SGE and similar AI-driven search features, you should:
While the fundamental principles of SEO remain relevant, there have been significant changes in how effective search engine optimization is practiced today compared to earlier times. Let’s explore the key differences between classic SEO and modern SEO, which includes both AEO and GEO:
Classic SEO primarily focused on:
Modern SEO (including AEO and GEO) focuses on:
In classic SEO, success was mainly measured by:
In modern SEO, success criteria have expanded to also include:
To succeed with modern SEO, you need to focus not only on keyword research and technical SEO, but also on creating valuable, authoritative content that answers the user’s questions in the most direct and useful way.
With the rise of advanced AI tools like ChatGPT and similar language models, AI content has become a significant factor in modern SEO strategies. But how does AI-generated content impact your SEO efforts, and how do you find the right balance?
AI tools can help to:
But there are also challenges:
To get the most out of AI tools in your SEO strategy, you should:
AI content can be especially useful in connection with programmatic SEO, where you can generate template-based content for different variations of the same topic, but it should always be combined with human editing and expertise.
One of the most crucial aspects of modern SEO—whether traditional SEO, AEO, or GEO—is understanding the user’s intent. Intent-based SEO is about optimizing your content for what the user is truly trying to achieve with their search, rather than just focusing on specific keywords.
There are typically four main types of search intent:
To optimize effectively for user intent, you should:
By understanding and addressing the underlying intent behind searches, you can create content that not only ranks high but also converts better because it precisely matches what the user is looking for.
Being displayed as a featured snippet is one of the primary goals of AEO optimization. Featured snippets appear at the top of search results and provide a direct answer to the user’s question. Here is a detailed guide on how to optimize your content specifically for featured snippets:
Start by identifying which questions your target audience is asking that you can answer:
Featured snippets come in different formats, and your content should be structured accordingly:
Structured data helps Google better understand your content:
Remember, although featured snippets can lead to fewer clicks (zero-click search), they still provide significant brand exposure and establish your business as an authoritative source in the field. This can be especially valuable for companies looking to strengthen their position as experts within their industry.
Google’s Search Generative Experience (SGE) represents a paradigm shift in search, where AI generates answers based on information from multiple sources. Optimizing for SGE requires a combination of traditional SEO, AEO, and new GEO tactics.
SGE is Google’s way of integrating generative AI into search results. Instead of only showing links, SGE generates an AI-written answer based on information from various sources, with the option to ask follow-up questions in a conversational search experience.
Here are concrete strategies to optimize for Google SGE:
SGE can lead to more zero-click searches, where users get answers without visiting websites. To adapt your strategy to this development:
SGE optimization is still an evolving field, but by focusing on creating valuable, structured, and authoritative content, you can position your website as a preferred source for AI-generated answers.
Implementing structured data in the form of microdata and schema markup is one of the most effective technical strategies for both AEO and GEO. Structured data helps search engines and AI systems understand your content more precisely and can increase the chances of being featured in rich results and AI-generated answers.
Schema markup is a form of microdata – a standardized format to provide information about a page and classify its content. It was developed through collaboration between Google, Bing, Yahoo, and Yandex and can be found at schema.org.
Schema markup helps search engines understand:
Different types of schema markup are especially useful for AEO and GEO:
You can implement schema markup in different ways:
For most websites, JSON-LD is the best choice because it is separate from visible content and therefore easier to implement and maintain.
After implementation, it is important to test your structured data with tools like Google’s Rich Results Test to ensure it is correctly implemented and readable by search engines.
Conversational search and Natural Language Processing (NLP) are two closely related technologies fundamentally changing how search engines and AI systems understand and process user queries. These technologies are especially important for both AEO and GEO.
Traditional search was based on individual keywords or short phrases, but with the rise of voice search and AI assistants, searches have become more conversational:
This shift requires content to also become more conversational and able to answer more complex questions.
Natural Language Processing is the technology that enables search engines to understand natural language. Google’s BERT update in 2019 was a major leap forward for NLP in search, and newer models like LaMDA and MUM have further enhanced this understanding.
These NLP technologies allow search engines to:
To optimize your content for conversational search and NLP, you should:
By understanding and implementing these principles, you can create content that not only ranks well in traditional searches but is also preferred by AI-driven search systems and voice search applications.
Search engine optimization is constantly evolving, and it’s important to keep an eye on the latest trends to stay competitive. Here are some of the key SEO trends we expect to dominate in 2025:
AI will continue to transform search in several ways:
Search will become less text-based and more multimodal:
Google’s focus on Experience, Expertise, Authoritativeness, and Trustworthiness will intensify:
Technical aspects of SEO will continue to evolve:
SEO, AEO, and GEO will merge into a more holistic approach:
To remain competitive in 2025 and beyond, companies should start implementing these trends in their SEO strategies now. It’s no longer about optimizing for one type of search, but about creating a cohesive digital presence that performs optimally across all search technologies.
Creating content specifically optimized for Answer Engine Optimization requires a strategic approach focused on directly and precisely answering the user’s questions. Here is a detailed guide to crafting content with a higher chance of being featured as snippets or used in voice search:
Start by finding the questions your target audience is actually asking:
Format and structure are critical for AEO:
The quality of your answers is crucial:
Support your content with technical elements:
By following these principles, you can create content that not only provides value to users but also has a greater chance of being selected as the preferred answer in featured snippets, voice search, and other AEO-related formats.
Implementing Answer Engine Optimization into your company’s overall SEO strategy requires a methodical approach. Here is a step-by-step guide on how your business can start working with AEO:
Start by evaluating your current content for AEO potential:
Based on your audit, develop a dedicated AEO strategy:
Once the strategy is in place, focus on implementation:
AEO is an ongoing process requiring regular evaluation:
For maximum effect, AEO should be integrated with other marketing activities:
By following this systematic approach, businesses can effectively integrate AEO into their overall digital marketing strategy and reap the benefits of increased visibility in search results.
With the growing popularity of AI chatbots like ChatGPT, optimizing for AI-generated traffic is becoming a crucial part of a modern digital strategy. Here’s how you can optimize your business’s online presence to be cited and recommended by AI tools:
AI models like ChatGPT analyze and synthesize information from various sources:
To increase your chances of being cited by AI bots:
Technical aspects that can improve AI’s understanding of your content:
To increase the chance your brand is mentioned in AI-generated answers:
Optimization for AI-generated traffic is still an evolving field, but by focusing on creating authoritative, well-structured, and citable content, you can position your business as a preferred source for AI tools – and thus for the millions of users who rely on these tools daily.
To achieve the best results in modern search engine optimization, an integrated approach combining traditional SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) is necessary. Here is how you can develop a cohesive strategy:
By implementing an integrated strategy that combines SEO, GEO, and AEO, you can ensure your business is visible across all types of searches and platforms – from traditional Google searches to AI-generated answers and voice search.
The digital search landscape is constantly evolving, but with the right strategy, you can not only keep up with the changes – you can stay ahead of them.
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