Generative Engine Optimization & Autonomous Search Engineering

Advancing multi-agent software engineering, 3-gram conversational alignment, Wikidata triples, and empirical AI search citation standards.

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Dr. Amara Okafor

Principal Information Retrieval Researcher & Neural Search Specialist

Dr. Amara Okafor is a computer scientist specializing in neural information retrieval, knowledge graph embeddings, and AI search engine ranking algorithms. Her research examines algorithmic citation mechanics, semantic entity modeling, and information gain scoring in modern LLM search engines.

Published Technical Research & System Benchmarks

2026-08-11 • Research Paper

Algorithmic Citation Mechanics: How SearchGPT, Claude, and Gemini Select Citations from Web Corpus

A deep dive into the neural retrieval and citation ranking algorithms governing generative search engines, showing how document vector salience, entity clarity, and fresh empirical data drive AI citations.

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2026-07-29 • Research Paper

Cross-Encoder Re-Ranking in Generative Search Engines

How cross-attention models score document relevance and select sources for RAG context windows.

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2026-07-18 • Research Paper

Information Gain Scoring and Citation Probability

Why duplicate content is ignored by AI search engines and how unique data points force source citation.

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2026-07-06 • Research Paper

Evaluating Citation Stability Across LLM Re-Querying

Measuring citation consistency across stochastic temperature variations in Perplexity and SearchGPT.

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