Project essence: Comprehensive development of a content strategy, textual filling, and technical SEO/GEO optimization of the service landing page for a local business in the USA (Burbank, California). Goal: To create content that not only ranks highly in traditional Google search results but is also optimized for generative AI responses (Google AI Overviews, ChatGPT, Gemini) and meets Google EEAT requirements. What has been done: • Local market and semantics analysis: A semantic core has been compiled focusing on commercial low-frequency (LF) queries and geo-modifiers. A detailed analysis of the infrastructure, neighborhoods, and logistics of Burbank has been conducted to create a natural local context. • Copywriting according to EEAT standards: 100% unique, structured text (H1–H3 headings) has been written without the use of AI generation, aimed at high conversion and addressing the pain points of American clients. • GEO (Generative Engine Optimization): The structure of information presentation has been optimized, and content has been prepared for the integration of enhanced microdata (Schema.org), creation of FAQ blocks, and direct answers that are read by AI search engines to generate quick responses for users. • Commercial SEO: Logical blocks of trust, triggers, and strong calls to action (CTA) have been developed to maximize the conversion of website visitors into real inquiries. Result: A ready-to-release, fully optimized SEO/GEO template for the service landing page has been created, adapted to the stringent requirements of modern English-language search marketing.