Adaptive RAG Architecture
A framework for engineering brand visibility in AI-generated answers. How Brand Memory construction, entity reinforcement, and source trust scoring drive citation rates in ChatGPT, Claude, Perplexity, and Gemini.
This whitepaper introduces Adaptive RAG — a proprietary methodology that treats AI brand visibility as a retrieval engineering problem, not a content marketing problem. It documents the signal architecture, weighting model, and measurement framework behind RAG Signal's client work.
Written by Bora Kurum, Ph.D. researcher at Istanbul Bilgi University, whose academic work focuses on LLM retrieval behavior and brand representation in generative AI systems.
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