Generative Engine Optimization & Autonomous Search Engineering

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

David K. Vance

Computational Linguist & NLP Evaluation Lead

David K. Vance is a natural language processing researcher specializing in conversational query semantics, lexical diversity metrics, and multi-model benchmark evaluation across AI developer environments.

Published Technical Research & System Benchmarks

2026-08-09 • Research Paper

Claude SEO vs SEO Skills AI: Comparative Evaluation of Monolithic Prompting vs Modular Multi-Agent Frameworks

An empirical benchmark comparing monolithic prompt template systems with modular open-source SEO skill suites across token efficiency, execution latency, and generative search citation readiness.

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2026-07-25 • Research Paper

Token Consumption Benchmarks Across 12 AI Coding Runtimes

Measuring API token overhead across Claude Code, Cursor, Windsurf, and Google Antigravity during site audits.

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2026-07-14 • Research Paper

Execution Latency and Developer Velocity in AI Toolchains

Why multi-agent parallelization accelerates technical audit task completion by up to 4x.

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2026-07-01 • Research Paper

Future-Proofing SEO Toolchains with Open Source Standards

Avoiding single-vendor lock-in by implementing MIT-licensed modular skill architectures.

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