Discover how Generative Engine Optimization is revolutionizing SEO strategies for AI and position your business for the future.
Recently, I had the opportunity to participate in a webinar by the Brazilian agency liveSEO about “GEO in practice: optimizing for AI.” This experience inspired me to share a bit more about Generative Engine Optimization (GEO), a term that is gaining space in the digital marketing glossary.
In this article, I share everything I learned about the topic, as well as some insights that can help you better position yourself with artificial intelligence.
Let’s get started?
Contents
What is GEO?
Introduced by a group of researchers at Cornell University in the US, GEO (Generative Engine Optimization) is an innovative approach to search engine optimization, born from the need for content creators to adapt to new forms of AI-driven search.
GEO aims to give content greater visibility on digital platforms by adapting to the behavior of generative AIs.
Term by term:
- Generative – AIs create/generate new content based on existing data, such as texts, images, and summaries extracted from the internet.
- Engine – Refers to engines like Google AI Overview, ChatGPT, Bing AI Search, Perplexity Chat, Claude, among others.
- Optimization – Improving content so it is more easily found, interpreted, and used by generative engines and AIs.
GEO vs SEO – What are the differences?
The main difference lies in the foundation of each. Let’s understand better?
In traditional SEO:
Imagine you are creating a website for your business. For Google to index it, it first needs to crawl the page code, then index it, and only then position it in search results.
In GEO:
Now imagine you ask ChatGPT a question. The AI analyzes your request and generates an answer. To do this, it will look for data in real time (or in updated databases) and choose the most relevant and specialized sources.
Here, domain authority has less weight, and specialization and relevance gain prominence. This allows content from websites with less authority to be chosen by AIs, as long as the content is relevant.
For example, the GPT-4o model only shows data that is up to date until June 2024.
SEO vs GEO – Comparative Table
To make the differences between SEO and GEO very clear, here is a comparative table:
| Traditional SEO | Generative Engine Optimization (GEO) |
|---|---|
| Focus on Google ranking | Focus on being cited by generative AI |
| Prioritizes domain authority | Prioritizes relevance and specialization |
| Periodic updates | Real-time or updated-based content |
Important Statistics
Now, to understand the relevance of GEO, here are some statistics:
- 75% of consumers will use AI searches in the next year – Gartner
- GEO can increase visibility in AI responses by up to 40% – Cornell University
- GEO increased visibility by +115% for sites ranked 5th on Google – Cornell University
AI does not choose based on authority or ranking, but rather on relevance and specialization, which can be an advantage for websites that do not rank so highly. This means that if your content is relevant, AI may choose it.
With this, it becomes increasingly evident how important it is to apply the concept of Generative Engine Optimization to your content, don’t you agree? But don’t worry, I will delve deeper into this topic throughout the article.
GEO Strategies – How to optimize for AI?
As we have seen, using GEO practices in content optimization is essential to stand out today. Therefore, I now share some GEO strategies to optimize your content for AI.
According to Cornell University, the essential factors to take advantage of the new generative mechanisms are:
- Use of technical terms
- Easily understandable content
- Citation of sources and references
- Inclusion of statistical data and infographics
- Well-implemented SEO
- Domain authority
- Updated and well-structured content
- Good user experience
- Use of multimedia
- Thematic specialization (niche)
Does GEO replace SEO?
No. It is a new beginning.
GEO complements traditional SEO, adding a new layer of AI-oriented optimization. Good SEO practices remain essential—content needs to be well-optimized so that AIs can identify and select it correctly.
According to Cornell:
- 80% of AI searches are informative
- 10% are transactional
- 10% are navigational
That is, AI is mainly used to answer questions—not so much to convert yet. But… those who optimized for AI saw a visibility increase between 28% and 41%.
Frequently Asked Questions about Generative Engine Optimization
- Will GEO replace SEO?
No. GEO is a complement to SEO, specifically designed for generative AI. - Do I have to redo all my content?
No. You can adapt your current content with GEO practices—such as including FAQs, structured data, and improving language. - What tools can I use?
- Surfer SEO – AI-optimized content analysis
- MarketMuse – semantic optimization
- Clearscope – search intent analysis
Conclusion
Generative Engine Optimization (GEO) presents a future that is still uncertain, but very promising.
It is a fact that AI representation in daily searches is not yet the majority. However, the way we interact with search engines has already changed—and it is urgent to adjust our strategy to this new reality.
GEO brings longer and more complex keywords, with more refined search intent, requiring more specialized and focused content to be referenced by AIs.
Meanwhile, the race for positioning in AIs has already begun—and those who adapt now will have an advantage in the medium and long term.