The rapid development of generative artificial intelligence (AI) has not only changed user behavior with AI chatbots like ChatGPT, Microsoft Copilot, and Google Gemini but also presents new challenges for businesses. These tools increasingly influence purchasing decisions by providing recommendations based on their training data or relevant sources from search indexes.
The big question: How can brands ensure their products appear in these AI-generated responses? The answer lies in Generative-AI Optimization (GAIO), also known as Large Language Model Optimization (LLMO) or Generative Engine Optimization (GEO).
What Is Generative-AI Optimization (GAIO)?
GAIO focuses on positioning a company’s products, brands, or website content more prominently within AI chatbots or Large Language Models (LLMs). To achieve this, a company must either be present in the chatbot’s preferred sources or become one of the selected sources itself.
Example: A sustainable sneaker manufacturer wants an AI to mention their brand when asked, “Which brands offer eco-friendly shoes?” To achieve this, they could publish a blog article on the topic or position their brand on relevant blogs, online magazines, and portals. If AI chatbots primarily rely on blogs or comparison sites to answer such questions, appearing in as many trustworthy sources as possible increases the likelihood that the chatbot will include the brand in its response.
Key Statistics and Insights on GAIO, LLMs, and GEO
A look at the latest traffic figures for Google, Bing, and ChatGPT reveals how rapidly AI-powered systems are evolving. The following statistics provide intriguing insights into the development of LLMs.
The most well-known and widely used LLMs include:
ChatGPT (OpenAI)
Gemini (Google)
Mistral (MistralAI)
LLaMA (Meta)
Claude (Anthropic)
DeepSeek (DeepSeek Open Platform)
Global Traffic Data (As of September 2024, Source: Similarweb)
Current internet usage data highlights key trends in the use of search engines and AI-powered chatbots:
With 82 billion monthly visits, Google remains the most widely used search engine.
Bing recorded 1.8 billion visits in the same period.
The most striking growth comes from ChatGPT, which saw 3.1 billion visits, a 107% increase compared to July 2023. This makes ChatGPT the most widely used AI chatbot by far.
Note: These figures do not directly indicate whether AI chatbots are replacing search engines or primarily being used for other tasks. However, they illustrate the growing influence of AI on user behavior and the opportunity to maximize visibility through GenAI optimization.
Although SEO for AI chatbots is still in its early stages, it is becoming increasingly important. More and more people are turning to AI-generated answers instead of traditional search engine results. Businesses should start preparing their content today so that it can be easily recognized and utilized by both search engines and AI models.
Prediction: GAIO Will Become a Key Component of Digital Marketing
GAIO, LLMO, and GEO are more than just buzzwords—they are essential elements of modern digital marketing strategies. Companies that embrace these concepts early and take targeted measures to optimize their visibility in AI-generated responses will benefit from greater visibility and stronger brand recognition in the long run. The digital competition is evolving rapidly—only companies that adapt will stay ahead in the race for audience attention.
Our diva-e experts are here to help you strategically and sustainably maximize your visibility—not only in traditional search engines but also in AI-powered responses.
Three Steps to Optimizing for Generative AI
To be featured in AI chatbot responses, businesses should implement the following strategies:
Create High-Quality Content
Publishing in industry media, blogs, and product comparison sites increases the likelihood of being included in AI-powered responses.
Adjust PR Strategies
Instead of relying solely on traditional advertising or SEO, companies should proactively ensure their brand is mentioned in trustworthy online sources.
Promote Authenticity
Honest and transparent communication enhances trust and relevance—both for users and GenAI models. Well-established platforms for price comparisons, review portals, and forums can be leveraged to connect authentic brand mentions with credible reviews.
