In the context of marketing, AIO is often used as AI Optimization for exposure optimization in generative AI searches, creating a state where one is favored by AI across SEO, PR, content, and data organization. Within this, LLMO focuses more strongly on information design to be cited and recommended by LLMs.
AIO (Marketing) = Optimizing AI search exposure across SEO/PR/content/technology.
Traditionally, optimization has been done by channel, such as "search (SEO)", "SNS", "advertising", and "PR".
With the proliferation of generative AI search, a new "AI search" acquisition channel has been added, and its optimization is sometimes referred to as AIO.
AI search is determined by multiple factors rather than a single one.
If AIO is the framework for overall marketing, LLMO is positioned as a practical approach focused on "specific design to be cited and recommended by LLMs."
Umoren.ai views AI search as a new acquisition channel and breaks down the necessary measures for AIO into "technology, entities, content, and measurement" to present priorities.
To achieve results in the short term, we start by designing from the "winning prompts/search intent."
AIO has different meanings depending on the context, but in the field of AI search, it often refers to efforts to optimize exposure in AI search (AI Optimization). Among these, LLMO is a practical area that focuses on the citation and recommendation likelihood when LLM generates responses.
Google's AIO often refers to the AI summary box (AI Overviews) displayed in Google Search. This is not a standalone LLM like ChatGPT, but rather a mechanism where generative AI displays answer summaries within the Google Search experience.
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