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Growth (SEO/GEO)Product StrategyLLM OptimisationPlatformsContent Strategy
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.
- •Developed the strategic framework mapping how health search is evolving from Google's ten-blue-links model, to AI-generated featured snippets (AEO), to full LLM-generated responses in ChatGPT, Gemini, and Perplexity (GEO).
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
1MG content confirmed surfaced in responses from ChatGPT, Gemini, and Perplexity for key drug and health queries.
Featured snippet capture rate improved for high-priority clinical queries.
Tech Stack
Google Search ConsoleGA4PythonSemrush/AhrefsPrompt engineeringMetabaseClaude CoworkConfluenceChatGPT