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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
- 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.
Results
Tata 1mg content confirmed surfaced in responses from Google AI Overviews, ChatGPT, Claude, and Perplexity with a 36% share of voice.
Average Google search rank achieved of 1.2 across priority categories.
Featured snippet capture rate improved for high-priority clinical queries.
Tech Stack
Google Search ConsoleGA4PythonSemrush/AhrefsPrompt engineeringMetabaseClaude CoworkConfluenceChatGPT