What is Generative Engine Optimization (GEO)?

GEO (Generative Engine Optimization) is an optimization strategy specifically designed for AI driven generative search engines, aimed at improving the display and ranking of brand content on AI platforms such as ChatGPT, DeepSeek, etc.

Unlike traditional SEO, GEO focuses more on adapting the logic and rules of AI search technology, with core features including:

Understanding user intent: GEO needs to cover conversational long tail questions, such as optimizing content by answering natural language questions like "authoritative domestic IoT solution service providers" instead of just matching keywords.

Multimodal interaction adaptation: The content needs to support voice questioning, image parsing, and video semantic extraction to seize traffic from smart terminals such as in car and smart homes.

Dynamic real-time response: AI search prioritizes capturing highly timely and authoritative content (such as the latest industry reports or user reviews), therefore GEO needs to continuously update data.

Industry trend: With the increasing proportion of AI search traffic (such as a 50% quarterly increase in user base for bean buns), GEO is gradually replacing traditional SEO as the new traffic entry point. If enterprises ignore GEO optimization, they may face the risk of AI "blocking" traffic (traditional link click through rates plummet by 40%).

Note: The "Group on Earth Observations" mentioned in the search results is another international organization with the same name and is not related to the GEO of the user's question.