The Elevator Pitch for This Blog Post: A crop of acronyms relevant to digital marketing in the age of AI. This blog goes over the difference between AIO, AEO, and GEO, which are all related to AI but refer to distinct strategies.
The Five Most-Key Takeaways from This Blog Post
- AIO, or artificial-intelligence optimization, refers to optimizing AI systems to directly improve performance in certain areas.
- AEO stands for answer-engine optimization, which involves optimizing content for showing up in AI voice search, generated answer snippets, and AI answer boxes like Google’s AI Overviews.
- GEO is generative-engine optimization, which involves optimizing content and brand authority to win favor with AI models that relay information and make recommendations.
- The difference between AEO and GEO may be hard to spot, so keep this in mind: AEO focuses on being the answer, (e.g., your blog featured in the answer snippet), whereas GEO focuses on being part of the answer (e.g., a cited source in a longer ChatGPT answer).
- These are not replacements to SEO, which is still alive and thriving because people continue to use traditional search in addition to AI models like ChatGPT for finding information.
The Significance for Business Owners
Giving attention to these three areas will be increasingly important in the age of AI.
That’s because AI will be a part of much of the online search and shopping experiences going forward.
Hence, the need for several subdisciplines within a broader strategy playbook for getting your website content to drive business from AI that assists with or is central in an online search.
What is AIO (artificial intelligence optimization)?
AIO, or artificial intelligence optimization, refers to optimizing AI systems to directly improve performance in certain areas.
AIO can involve strategies like fine-tuning an AI model to better fit tasks like, say, persona modeling.
It could also involve things like creating custom knowledge bases in widely available AI models. For instance, the Projects tab in Claude lets users upload data to create an ongoing chat related to a certain topic.
That Project in Claude could be related to optimizing content for discoverability according to the standards of SEO, AEO, and GEO.
The overarching takeaway from the very concept of AIO is that businesses should get away from using AI models as is and instead make use of connectors, skill-building, and other customization features within models.
For bespoke AI models, continually fine-tuning the model to improve performance is another important strategy.
What is AEO (answer engine optimization)?
AEO stands for answer engine optimization, which involves optimizing content for showing up in AI voice search, generated answer snippets, and AI answer boxes like Google’s AI Overviews.
Much of the work of AEO comes down to formatting. The name of the game here is to be able to readily surface in snippets and relatively short-form answer boxes.
AI voice search is also highly dependent on formatting because content needs to be readily understandable if read out loud.
Using bullet-point lists and FAQs within website content are common strategies. Think of quick readability and ready importability into short-form contexts.
The easier it is for an answer engine to take your content and present it to a user, the more likely you are to be the one featured in a snippet.
What is GEO (generative engine optimization)?
GEO is generative engine optimization, which involves optimizing content and brand authority to win favor with AI models that relay information and make recommendations.
GEO incorporates the strategies of AEO such as easily readable content structures, but then adds more on top of it.
That does not mean that GEO contains AEO just because there are certain shared strategies. The main distinction is the aim of each: AEO is for answer snippets and answer boxes and voice; GEO aims for showing up in dedicated generative AI models’ outputs such as chat conversations in Gemini.
Where does SEO fit in?
Still practice SEO while keeping these other three strategies in mind.
In fact, these are not even in conflict: doing things like lists and building brand authority have long been SEO staples, so strengthening your SEO can help with your AI-focused initiatives, and vice versa.
The Last (But Not Least) Key Takeaway from This Blog Post
Business owners should be paying attention to the ways in which AI is reshaping the online search experience. Connecting the dots between these changes and the recommendations outlined above can be helpful in building a strategy for digital marketing in the AI age.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on AI technologies of interest to business owners, with especial focus on the impact this tech will have on commerce as a whole.
On a usual week, there are multiple GO AI blog posts going out. Here are some notable recent articles:
- For Businesses and Other Organizations, What Makes a Successful Chatbot?
- IBM Watson vs. ChatGPT vs. Gemini: How Will Each Affect Search Engines?
- Using AI to Find Resources for Business Owners
- How Would Restricting Open-Source AI Affect Business Owners?
- The EU’s AI Act Has Become Law: The Implications for Business Owners (Especially American)
In addition to our GO AI blog, we also have a blog that offers important updates in the world of search engine optimization (SEO), with blog posts like “Google Ends Its Plan to End Third-Party Cookies”.
GO Deeper on Substack!
If you want to get a bigger-picture view on where AI is and is headed, then check out our Substack to learn about emerging and dominant themes in the AI industry that affect all kinds of businesses!
Frequently asked questions about AIO, AEO and GEO
What is AEO (answer engine optimization)?
AEO stands for answer engine optimization. It means optimizing content to show up in AI voice search, generated answer snippets, and AI answer boxes like Google’s AI Overviews. Much of the work comes down to formatting, so your content can readily surface in snippets and short-form answer boxes.
What is the difference between AEO and GEO?
AEO focuses on being the answer, such as your blog featured in an answer snippet. GEO focuses on being part of the answer, cited or drawn on by a generative model. They share strategies like readable content structures, but their aims differ.
What is AIO (artificial intelligence optimization)?
AIO refers to optimizing AI systems themselves to directly improve performance in certain areas. It can involve strategies like fine-tuning an AI model to better fit a task such as persona modeling.
What is GEO (generative engine optimization)?
GEO stands for generative engine optimization. It means optimizing content and brand authority to win favor with AI models that relay information and make recommendations.
Does AEO replace SEO?
No. AEO, GEO and AIO are not replacements for SEO. Traditional search is still widely used alongside AI models like ChatGPT. Practices like clear lists and building brand authority have long been SEO staples, so strengthening SEO supports AI-focused work and the reverse is also true.
