Research hub
Insights on GEO Pharma, AEO Pharma, and how AI models represent pharmaceutical brands.
Why AI Models Never Say Your Brand Name: The 0% Brand Recognition Crisis in Pharma
Data from 23 pharma brands reveals 0% brand name usage by ChatGPT, Gemini & Perplexity. Learn why AI defaults to INN and how to adapt your strategy.
The Reliability Tax: Why Your Own Website Is Your Biggest GEO Weakness
Pharma websites score 53-68% reliability in AI models vs 80-100% for FDA sources. Learn why your owned media is your biggest GEO weakness and how to fix it.
Benchmarking Pharma GEO: What 23 Brands and 3 AI Models Reveal
The first multi-brand pharma GEO benchmark. See how 23 drugs score across OpenAI, Gemini, and Perplexity on reliability, sentiment, visibility, and more.
The Pharmacovigilance Blind Spot: Why AI Never Routes Patients to Report Adverse Events
AI detects 94-100% of adverse drug events but routes 0% to PV systems. Explore the critical pharmacovigilance compliance gap in AI search.
OpenAI vs Gemini vs Perplexity: Which AI Model Represents Your Drug Best?
Cross-platform analysis of how OpenAI, Gemini, and Perplexity handle pharmaceutical drug information. Data from 23 brands reveals critical differences.
Share of Voice in the AI Era: How Legacy Drugs Outperform New Launches
AI models give legacy drugs disproportionate share of voice. Data from 3 therapeutic areas shows why historical evidence trumps recency in AI.
The French Market GEO Gap: Why Non-English Pharma Is Flying Blind in AI Search
First industry data on multilingual pharma GEO reveals zero French AI Overviews vs 67 in English. Learn why non-English pharma is invisible to AI search.
From Neutral to Strategic: Why Sentiment Doesn't Drive AI Performance in Pharma
Data from 23 pharma brands proves positive AI sentiment doesn't drive GEO scores. Learn why neutral sentiment wins and reliability is the real driver.
The AI Content Playbook for Pharma: Turning Trending Questions into GEO Strategy
The step-by-step AI content playbook for pharma. Turn trending patient questions into GEO-optimized content with structured data, evidence libraries, and more.