Research and field notes
Practical guidance for the AI answer layer.
Clear thinking on GEO, share-of-answer, sources, message accuracy, PI alignment, and the limits of AI monitoring.
January 25, 2026LLM monitoring
LLM Monitoring vs SEO vs Social Listening: What's Different?
Understanding the differences between LLM monitoring, SEO, and social listening for pharma brands - and why you need all three.
Read the field noteJanuary 22, 2026PI-backed verification
PI-Backed Claims: Why LLMs Hallucinate About Pharma Products
Understanding why AI systems generate inaccurate claims about pharmaceutical products, and how PI-backed verification catches them before they spread.
Read the field noteJanuary 20, 2026share-of-answer
How to Measure Share-of-Answer
A practical guide to measuring your pharma brand's visibility in AI-generated answers: query design, provider tracking, and actionable metrics.
Read the field noteJanuary 15, 2026GEO
What is GEO for Pharma?
An introduction to Generative Engine Optimization (GEO) for pharmaceutical brands: how to ensure AI systems accurately represent your products.
Read the field note