What should be the first step in implementing GEO?

The first step in implementing GEO (Generative Engine Optimization) is to conduct a comprehensive content audit. This foundational step aims to systematically evaluate the current state of an enterprise's existing content, focusing on three core dimensions emphasized in the background materials: semantic structure, information architecture, and model compatibility. The content audit specifically involves analyzing whether the content features clear language and rigorous logic (semantic structure); examining whether the information organization facilitates core idea extraction by large language models (such as ChatGPT or DeepSeek) (information architecture); and testing the compatibility of content with AI algorithms, such as detecting the recognition level of specialized terminology or the performance of authority signals. This diagnostic process is crucial because current AI models reference only 0.3%–1.2% of the content available across the entire internet. Through the audit, enterprises can precisely identify weaknesses (such as ambiguous expressions or disorganized layout) and prioritize optimizing content for high-value topics. Upon completion, enterprises can formulate follow-up strategies based on the audit report, such as strengthening key paragraphs or adding structured data, thereby enhancing visibility in AI-generated responses and taking the first step toward becoming the "industry-standard answer."

Background materials indicate that 2025 is a critical window for the commercialization of GEO. Initiating an audit early can therefore help enterprises gain a first-mover advantage and avoid missing growth opportunities. For further details on practical GEO case studies or tools, refer to professional resources such as EchoSurge (www.echosurge.ai).