GEO: What Is It and How Is AI Changing SEO?
SEO is changing faster than ever. While search engine optimization revolved around keywords, links, and technical optimization for years, AI now plays an increasingly significant role. Not only in search engines themselves, but also in the way companies implement SEO.
More and more organizations are using AI to analyze content, understand search intent, and develop new pages at scale. At the same time, search engines such as Google and Bing are also using AI to better understand and present search results.
In this article, we explain what AI SEO is, how it works, and what opportunities it offers for businesses looking to increase their online visibility.
What is AI SEO?
AI SEO refers to the use of artificial intelligence within search engine optimization. This can be done in various ways:
- Search engines use AI to better understand and rank search results.
- Companies use AI tools to execute their SEO strategy more efficiently and scalably.
- Scaling products and product categories with Productaizer.
Search engines use AI models to interpret search intent and better understand content. As a result, search engines are looking less and less at individual keywords and more and more at the meaning of a page.
On the other hand, marketers use AI to analyze content faster, conduct keyword research, and develop larger volumes of SEO pages. AI is therefore changing SEO not only on Google’s side, but also on the side of businesses.
How AI is changing search engines
Search engines have been using artificial intelligence for years to improve search results. AI models help search engines better understand what a page is actually about and which information best matches a user’s query.
At the same time, a new trend is emerging: more and more users are asking their questions directly to AI systems such as ChatGPT, Perplexity, and Bing Copilot. These generative systems use web content as a source for their answers and link to websites in the process.
Optimizing content for these AI responses is increasingly referred to as Generative Engine Optimization (GEO).
As a result, SEO is increasingly based on:
- content relevance
- expertise and authority
- clear explanation of a topic
- good user experience
Instead of purely optimizing for keywords, it is becoming increasingly important to thoroughly explain entire topics. This aligns with concepts such as topical authority, where websites build authority by publishing multiple articles on a single topic.
How companies use AI for SEO
In addition to search engines, SEO specialists are also increasingly incorporating AI into their strategies. This is done, for example, in:
- Content Analysis
AI tools can analyze large amounts of content and provide insights into search intent, competition, and content structures. This makes it easier to understand which topics are important within a niche. - Content Development
AI makes it possible to generate concepts, outlines, and first drafts of articles more quickly. This allows companies to publish new content more efficiently. It is important to note that AI is primarily used as a tool. The quality of SEO content remains dependent on editorial expertise and experience. - Programmatic SEO
One of the biggest changes is that AI makes it possible to apply SEO on a larger scale. With programmatic SEO, templates and datasets are combined to automatically generate many SEO pages. Examples include: comparison pages, product pages, and knowledge articles related to specific search queries.
By combining AI with datasets and templates, websites can develop hundreds or thousands of pages targeted at long-tail search queries.
AI SEO and long-tail keywords
One of the biggest opportunities in AI SEO lies in long-tail search queries. Long-tail keywords are longer and more specific search queries, such as:
- How do you build a deck on sand?
- What kind of beams do you use for a pergola?
- What is the difference between Douglas fir and hardwood?
Although individual search volumes are often small, these search queries collectively account for a large portion of total search traffic. AI makes it easier to identify these search queries and to develop targeted content for them. Companies that consistently publish content around these queries often build authority within their niche more quickly.
AI SEO and AI search engines
A new development in SEO is that more and more users are asking their questions directly to AI systems such as ChatGPT, Perplexity, and Bing Copilot. These systems generate answers based on existing web content and often cite sources.
This creates a new form of traffic: AI traffic. Websites that publish clear, informative articles are more likely to be used as a source within these AI-generated answers.
In our timber trade benchmark, for example, we see that AI traffic accounts for between approximately 2% and 8% of SEO traffic. That share is growing rapidly as more users turn to AI to ask questions.
The role of human expertise
Although AI can accelerate many processes, human expertise remains essential in SEO. Search engines evaluate not only the structure of content but also its quality and reliability. E-E-A-T factors such as experience, expertise, and authority play a key role in this. AI can assist with analysis and scalability, but successful SEO strategies combine AI with subject matter knowledge and editorial quality.
AI SEO in practice
For businesses, AI SEO means that search engine optimization increasingly consists of a combination of technology and content strategy. An effective approach often consists of:
- a strong technical SEO foundation
- clear content clusters around key topics
- scalable content development
- analysis of AI and search data
By combining these elements, websites can become more visible in both search engines and AI-generated responses.
The Future of SEO and AI
AI will play an increasingly significant role in search engines and online marketing in the coming years. Search engines are becoming better at understanding content, while companies are gaining new tools to execute SEO processes more efficiently. That does not mean SEO is going away. On the contrary: SEO is actually becoming broader and more strategic. Instead of merely optimizing for search engines, it is becoming increasingly important to develop content that is used by both search engines and AI systems.
Frequently Asked Questions About AI SEO and GEO
What is AI SEO?
AI SEO refers to the use of artificial intelligence within search engine optimization. For example, companies use AI for content analysis, keyword research, and the development of SEO content. At the same time, search engines themselves also use AI to better understand what a page is about and which results best match a search query.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) is the optimization of content for AI systems such as ChatGPT, Perplexity, Gemini, and Bing Copilot. These systems generate answers based on existing web content and sometimes cite sources. GEO focuses on increasing the likelihood that a website will be referenced in these AI responses.
What is the difference between SEO and GEO?
SEO focuses on visibility in search engines such as Google and Bing. GEO focuses on visibility in AI systems that generate answers based on web content. In practice, these strategies overlap significantly, as both rely on clear, substantive, and well-structured content.
How does a website appear in AI responses from ChatGPT or Perplexity?
AI systems use web content as a source for their answers. Websites that offer clear explanations, step-by-step guides, and substantive knowledge are more likely to be used as a source. Articles that answer specific questions are cited more often than purely commercial pages.
What kind of content works best for AI traffic?
Content that answers clear questions works best for AI systems. Think of how-to articles, technical explanations, manuals, step-by-step guides, and comparisons. This type of content is easier for AI to summarize and is therefore suitable as a source for generated answers.
How significant is AI traffic compared to SEO traffic?
In many sectors, AI traffic currently accounts for between approximately 2% and 8% of SEO traffic. That share is growing rapidly because more and more users are asking their questions directly to AI systems rather than to a search engine.
Does SEO remain important as AI continues to grow?
Yes. SEO remains the foundation of online visibility. This is because AI systems use web content as a source for their answers. Websites with strong SEO, clear knowledge-based content, and topical authority therefore also have a greater chance of appearing in AI-generated answers.
