Analyzing how machine-learning search engines, RAG systems, and clinical knowledge graphs resolve provider identity.
Investigation Report // 09
An investigation into the correlation between traditional SEO rankings and AI search citations across Google AIO, SearchGPT, and Perplexity.
Investigation Report // 08
An empirical study of 30 bottom-of-funnel healthcare queries reveals that AI search overviews cite specific brand names, hospital systems, and surgeon entities in 65% to 90% of cases.
Investigation Report // 07
An investigation into the collapse of informational healthcare SEO and the shift toward local entity trust in the age of AI Overviews.
Investigation Report // 06
An empirical study of 30 AI search queries reveals a bifurcation in the middle funnel: educational queries are being anonymized while comparison queries remain brand-heavy.
Investigation Report // 05
An empirical study of 30 high-intent informational queries reveals that the "Top of Funnel" is being systematically erased from the brand-discovery journey.
Investigation Report // 04
An investigation into why automation and AI make brand authority the only non-fungible asset in a market of commoditized ideas.
Investigation Report // 03
An investigation into the 'Evidence Layer'—a structured framework of primary-source validation that anchors LLMs and prevents them from falling back to noisy community data.
Technical Brief // 01
A deep dive into Retrieval-Augmented Generation (RAG) and why conflicting NPI registry data and address drift silently remove surgeons and specialists from AI search recommendations.
Technical Brief // 10
Forthcoming analysis on the link vectors between medical publications and regional search prominence.