Kokoc Performance has published a guide for GEO (Generative Engine Optimization), a strategy for improving brand visibility in AI-driven search results. The process begins with setting clear goals, such as increasing brand awareness or improving sentiment, and appointing a project lead to oversee the implementation.
The strategy involves building a core of marker prompts—queries users input into AI models—and clustering them into commercial and informational groups. Specialists analyze competitors and identify citation sources, such as aggregators, maps, and blogs, which AI models use to generate answers.
Technical optimization is a critical step, requiring websites to be accessible to AI bots. This includes ensuring fast loading speeds, implementing structured data, and creating specific files like llms.txt and LLM Info pages to provide AI models with accurate brand information.
The content strategy focuses on both internal site improvements and external publications. Content must be structured with lists, tables, and clear semantic chains to facilitate AI processing. External platforms are selected based on indexing speed and domain authority to ensure content reaches AI databases.
Measuring success involves tracking brand visibility, sentiment, and citation frequency across various AI tools. Platforms like Alice, Perplexity, and Google AI Overviews are noted for faster indexing of new content compared to ChatGPT, which relies on different update cycles.
