SEO → AEO → GEO Discoverability Strategy
Owned the end-to-end discoverability strategy for Tata 1mg across pharma, diagnostics, and health content — spanning traditional SEO, AEO, and the emerging GEO layer.
Tata 1mg appears in Google AI Overviews, ChatGPT, Claude, and Perplexity, achieving a 36% share of voice across these generative search platforms.
Built the SEO-AEO-GEO content framework, structured data strategy, and content production SOPs that power AI-era discoverability.
The Challenge
- Most Indian health-tech platforms were still optimising for legacy keyword SEO in 2023 — the GEO opportunity required internal education, strategic buy-in, and a content architecture shift.
- AEO required restructuring content to answer specific clinical questions directly.
- GEO required understanding how LLMs retrieve, weight, and surface content — a domain where no established playbook existed.
The Approach & Solution
- Built a three-horizon roadmap: SEO (on-page, technical, backlinks), AEO (FAQ schema, featured snippet targeting), GEO (structured data, entity linking, partnership with LLM training pipelines).
- Restructured drug and diagnostics PDPs to include direct-answer FAQ sections, structured attribute tables, and entity-linked content blocks.
- Implemented schema markup (MedicalEntity, Drug, DiagnosticTest).
- Established the GEO content framework as the internal standard for all new content production.
Key Results & Commercial Impact
Technology Stack & Tools
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