# PharmaGEO > PharmaGEO is the AI visibility, Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) tracker built specifically for the life-science industry. It measures how ChatGPT, Claude, Gemini, Perplexity, Mistral and four other LLMs cite, rank and describe pharma brands across therapeutic areas, languages and geographies — with MLR-ready output. PharmaGEO is operated by aikka SAS (Paris, France). The platform combines public pharma signals (FDA labels, EMA, NCCN, ESMO, PMC literature, EFPIA guidance, patient organisations) with original cross-engine benchmarking to produce the first public ranking of pharma brand visibility in AI answers — the PharmaGEO Index. ## Core pages - [Homepage](https://pharma-geo.com/): What PharmaGEO is, who it serves, and how the platform works - [Research Hub](https://pharma-geo.com/research): 21 field reports on pharma GEO, AEO and AI visibility - [PharmaGEO Index](https://pharma-geo.com/pharmageo-index): Public ranking of pharma brand visibility across LLMs - [Contact](https://pharma-geo.com/contact): Book a demo of the pharma GEO platform ## Pillar guides - [Generative Engine Optimization (GEO) for pharma](https://pharma-geo.com/generative-engine-optimization-pharma): The complete guide to generative engine optimization for pharmaceutical companies - [GEO for life sciences](https://pharma-geo.com/geo-for-life-sciences): Generative Engine Optimization for biotech, medtech, diagnostics, CROs and pharma (distinct from the NCBI Gene Expression Omnibus) - [Answer Engine Optimization (AEO) for pharma](https://pharma-geo.com/articles/aeo-for-pharma): How AI answer engines choose their sources for pharma queries - [GEO pharmaceutique (français)](https://pharma-geo.com/fr/geo-pharma): La visibilité IA des laboratoires pharmaceutiques dans ChatGPT, Gemini et Perplexity ## Foundational reading — definitions and primers - [Why pharma needs GEO in 2026](https://pharma-geo.com/articles/why-pharma-needs-geo-2026): Plain-language primer on Generative Engine Optimization for pharma brand teams - [GEO vs AEO vs SEO for pharma](https://pharma-geo.com/articles/geo-vs-aeo-vs-seo-pharma): The complete 2026 guide to the three optimization disciplines for life sciences - [There is no AI visibility — there are six](https://pharma-geo.com/articles/six-visibilities-engine-divergence): Why ChatGPT, Claude, Gemini and Perplexity diverge by 33 points on the same pharma brand - [How LLMs cite pharma sources](https://pharma-geo.com/articles/llm-citation-patterns-pharma): The citation graph that governs pharma AI visibility - [The half-life of AI citations in pharma](https://pharma-geo.com/articles/ai-citation-half-life-pharma): Why the 11-day citation half-life of software and consumer markets does not describe health answers, and why time-to-truth matters more ## Methodology - [Measuring Share of Voice in LLMs](https://pharma-geo.com/articles/measuring-share-of-voice-llm): How to measure pharma AI visibility across LLMs - [Answer rate vs Share of Voice](https://pharma-geo.com/articles/answer-rate-vs-share-of-voice): Two different GEO metrics, often confused - [GEO benchmark of 23 pharma brands](https://pharma-geo.com/articles/benchmark-23-brands-3-ai-models): First cross-model GEO benchmark methodology - [The citation source stack by therapeutic area](https://pharma-geo.com/articles/citation-source-stack-by-therapeutic-area): How source patterns vary by TA ## Tactics & playbooks - [The owned content playbook for the AI answer layer](https://pharma-geo.com/articles/owned-content-playbook-ai-answer-layer): Eight tactical moves - [Medical writing for AI retrieval](https://pharma-geo.com/articles/medical-writing-for-retrieval): MLR-friendly GEO content - [The 90-day pharma GEO mobilization plan](https://pharma-geo.com/articles/90-day-pharma-geo-mobilization-plan): Week-by-week pharma GEO program - [Competitive blindspots in LLM pharma answers](https://pharma-geo.com/articles/competitive-blindspots-llm-pharma): What pharma analytics miss ## Regulatory & compliance - [MLR, EFPIA and the AI answer layer](https://pharma-geo.com/articles/regulatory-and-the-ai-answer-layer): Pharma compliance for GEO programs - [AI is already a pharmacovigilance surface](https://pharma-geo.com/articles/ai-as-pharmacovigilance-surface): Boxed warnings, REMS and contraindications in AI answers ## Therapeutic-area & launch insights - [Case study — GLP-1 obesity launches in AI search](https://pharma-geo.com/articles/case-study-obesity-launch): Obesity TA pattern reading - [The language geography of AI visibility](https://pharma-geo.com/articles/language-geography-of-ai-visibility): How English/French/Spanish AI answers diverge for the same pharma brand - [How HCPs use AI search in 2026](https://pharma-geo.com/articles/hcp-ai-search-behavior-2026): 54% of HCPs now use generative AI in clinical contexts - [8 GEO findings every pharma brand needs](https://pharma-geo.com/articles/8-key-findings-ai-visibility): Findings from the May 2026 PharmaGEO public index ## Comparisons - [PharmaGEO vs Profound, Evertune, Semrush](https://pharma-geo.com/articles/pharmageo-vs-generic-geo-tools): Why pharma GEO requires a specialised tool ## Optional - [Privacy notice](https://pharma-geo.com/privacy) - [Terms of service](https://pharma-geo.com/terms) - [Security](https://pharma-geo.com/security) - [Product documentation](https://pharma-geo.com/docs): User guide, metric definitions, technical FAQ, API and webhooks (in French) - [API reference (OpenAPI)](https://api.aikka-pharma.com/api/docs) - [Support](https://pharma-geo.com/support) - [Release notes](https://pharma-geo.com/changelog)