What is GEO?
GEO (Generative Engine Optimization) is a new optimization methodology specifically designed for AI search engines.
Definition
GEO (Generative Engine Optimization) is an optimization methodology targeting generative AI search engines such as ChatGPT, DeepSeek, Doubao, Kimi, and others. Its core goal is to make brands easier for AI to understand, index, and cite, thereby achieving higher visibility in AI-generated responses.
Background
With the rise of AI search tools like ChatGPT and DeepSeek, an increasing number of users no longer rely on traditional search engines to find information — they ask AI directly. This has transformed how information is accessed and posed new challenges for traditional SEO strategies. GEO emerged to specifically address the visibility problem brands face in AI search.
GEO vs SEO
SEO focuses on search engine rankings (Google, Baidu), aiming to make web pages rank higher in search results. GEO focuses on brand visibility within AI responses, aiming to have AI cite and recommend your brand when generating answers. SEO optimizes web page structure and keywords, while GEO optimizes brand entities and knowledge systems.
How It Works
GEO works by building a comprehensive knowledge system for your brand, including brand entity definitions, structured knowledge content, and authority signal construction. This enables AI models to accurately understand your brand's positioning, capabilities, and value. When users ask AI questions, the AI can extract and cite brand information from the established knowledge system.
Applicable Industries
GEO is applicable to all industries that rely on user decision-making, including but not limited to: restaurant chains, education and training, consumer goods, technology services, healthcare, financial services, travel and hospitality, and more. Any industry where users might use AI search to find products or services can benefit from GEO.