In-depth technical guides detailing Answer Engine Optimisation (AEO), vector search architecture, RAG dilution mitigation, and structured entity graphs for Australian enterprises.
Deep-dive technical specification detailing vector mapping infrastructure, text-embedding-004 RAG dilution mitigation, 5-tier scoring math, AI Bill ingestion, and NLWeb/MCP protocols.
Technical guide on how search bots parse files for direct citation extraction. Learn to maximize positional bias within text fields and atomic answer blocks.
Learn what positional bias is in AI search and LLMs, how retrieval and synthesis bottlenecks affect search visibility, and how to engineer content using the Positional Bias Audit Checklist.
Learn how structured data helps brands survive query fan-out in AI search by improving entity clarity, retrieval, and citation accuracy.
Comprehensive guide to Retrieval-Augmented Generation (RAG) and why restructuring web content into machine-readable atomic units determines AI search survival.
Learn how AEObility evaluates competitor overlap, semantic dominance, and AI search readiness. Discover how your business compares to competitors.
Our 60-second interactive diagnostic scans your website against Gemini 768-dim embeddings, RAG survival criteria, and local map signals.
AEObility Search & UX Guide