The Elevator Pitch for This Blog Post: A crop of acronyms relevant to digital marketing in the age of A.I.. This blog goes over the difference between A.I.O., A.E.O., and G.E.O., which are all related to A.I. but refer to distinct strategies.
The Five Most-Key Takeaways from This Blog Post
- A.I.O., or artificial-intelligence optimization, refers to optimizing A.I. systems to directly improve performance in certain areas.
- A.E.O. stands for answer-engine optimization, which involves optimizing content for showing up in A.I. voice search, generated answer snippets, and A.I. answer boxes like Google’s AI Overviews.
- G.E.O. is generative-engine optimization, which involves optimizing content and brand authority to win favor with A.I. models that relay information and make recommendations.
- The difference between A.E.O. and G.E.O. may be hard to spot, so keep this in mind: A.E.O. focuses on being the answer, (e.g., your blog featured in the answer snippet), whereas G.E.O. focuses on being part of the answer (e.g., a cited source in a longer ChatGPT answer).
- These are not replacements to S.E.O., which is still alive and thriving because people continue to use traditional search in addition to A.I. 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 A.I..
That’s because A.I. 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 A.I. that assists with or is central in an online search.
Artificial-Intelligence Optimization (A.I.O.)
A.I.O. can involve strategies like fine-tuning an A.I. model to better fit tasks like, say, persona modeling.
It could also involve things like creating custom knowledge bases in widely available A.I. 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 S.E.O., A.E.O., and G.E.O..
The overarching takeaway from the very concept of A.I.O. is that businesses should get away from using A.I. models as is and instead make use of connectors, skill-building, and other customization features within models.
For bespoke A.I. models, continually fine-tuning the model to improve performance is another important strategy.
Answer-Engine Optimization (A.E.O.)
Much of the work of A.E.O. 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.
A.I. 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.
Generative-Engine Optimization (G.E.O.)
G.E.O. incorporates the strategies of A.E.O. such as easily readable content structures, but then adds more on top of it.
That does not mean that G.E.O. contains A.E.O. just because there are certain shared strategies. The main distinction is the aim of each: A.E.O. is for answer snippets and answer boxes and voice; G.E.O. aims for showing up in dedicated generative A.I. models’ outputs such as chat conversations in Gemini.
Where Does S.E.O. Fit in?
Still practice S.E.O. 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 S.E.O. staples, so strengthening your S.E.O. can help with your A.I.-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 A.I. 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 A.I. age.
Other Great GO AI Blog Posts
GO AI the blog offers a combination of information about, analysis of, and editorializing on A.I. 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:
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 A.I. is and is headed, then check out our Substack to learn about emerging and dominant themes in the A.I. industry that affect all kinds of businesses!
