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SEO/GEOAI/MLContent StrategyProduct Ownership
GEO / LLM Content Optimisation Initiative
- •Identified GEO as a strategic priority as LLM-powered search surfaces (ChatGPT, Gemini, Perplexity, Bing AI) began capturing a growing share of health information queries.
- •Led the internal education, framework development, and content implementation for Tata 1MG's GEO programme.
- •The initiative ran parallel to and informed the SEO to AEO to GEO strategy, but focused specifically on the content architecture and implementation layer.
The Challenge
- GEO is an emerging discipline with no established playbook for regulated health content.
- Health content faces additional complexity: LLMs are trained to be cautious about medical advice, meaning content needs to be factual, verifiable, and entity-linked.
- Retrofitting GEO principles across thousands of existing drug and diagnostics pages required a scalable, prioritised implementation approach.
The Approach
- Developed the GEO content framework for health content: entity-dense factual statements, source attribution, structured Q&A blocks, and consistent entity linking.
- Restructured top drug and disease pages as GEO pilots.
- Embedded GEO principles into the new content SOP.
- Conducted manual LLM citation audits on a monthly basis — querying ChatGPT, Gemini, and Perplexity with high-traffic health queries.
Results
1MG content confirmed surfaced in LLM responses for priority health queries across ChatGPT, Gemini, and Perplexity.
GEO content framework adopted as the standard SOP for all new content production across pharma, diagnostics, and OTC.
Drug and disease pages restructured to GEO-optimised format in Phase 1.
Tech Stack
PythonChatGPT/Gemini/Perplexity (manual audit)Google Search ConsoleCMS (internal)Prompt engineering