AI Search Optimisation Sydney strategies are shifting technical SEO away from simple link indexation and toward Generative Engine Optimization (GEO) across modern AI retrieval-augmented generation (RAG) architectures. To capture high-intent organic traffic in the Australian market, enterprises operating out of Sydney must programmatically align their web infrastructure with the extraction heuristics used by Large Language Models (LLMs) such as Google AI Overviews, OpenAI's ChatGPT, and Perplexity. Architectural Mechanics of Vector-Based AI Search Traditional search engines index documents based on inverted term frequencies (TF-IDF) and link-based authority graphs. Generative AI search systems process documents via high-dimensional vector embeddings, semantic parsing, and direct RAG pipelines. High-Dimensional Vector Embeddings: Modern AI engines chunk web content into discrete passages and pass them through transformer-based embedding models. When a user submits a query, the sys...