MOLAVI R&D THINK TANK

Research

Reference frameworks and primary research for becoming a citable source in AI search, RAG systems, and knowledge graphs.

Open-source research

SAGE: Open-Source SEO, AEO and GEO Audit Engine

A direct review of Taqi Molavi’s public repository: a Python engine for technical SEO, entity answers and generative retrieval readiness.

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SAGE: Open-Source SEO, AEO and GEO Audit Engine
What Is a Digital Twin? Architecture and Uses

August 27, 2026

What Is a Digital Twin? Architecture and Uses

Taghi Molavi’s research guide to digital twins: definitions, architecture, simulation, AI, security, and lessons from building Hamzad.

GEO Methods: Implementation, Measurement and Limits

August 26, 2026

GEO Methods: Implementation, Measurement and Limits

A grounded guide to GEO implementation: technical access, evidence-led content, entity authority, platform differences, agent readiness, and measurement.

VPA: Vector Perturbation Architecture for RAG

July 30, 2026

VPA: Vector Perturbation Architecture for RAG

A research note introducing VPA: a practical architecture for reducing semantic entropy, tightening RAG chunks, and improving brand citation absorption in AI search.

The Molavi GEO Pyramid: A Five-Layer Framework

July 28, 2026

The Molavi GEO Pyramid: A Five-Layer Framework

A white paper defining a five-layer methodology for moving from machine-readable data to zero-prompt agentic mindshare in AI search.

Research | Taghi Molavi