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SEO/GEOAI/MLContent StrategyProduct Ownership
Content Intelligence Platform for Search & AI Discovery
- •Built the content intelligence platform for search and AI discovery at Tata 1mg, combining competitive monitoring, Reddit/X narrative analysis, trust signals, content gap identification, and performance tracking.
- •The system prioritises content investments, strengthens category authority, and improves visibility across search and LLM ecosystems.
- •The platform supports Generative Engine Optimisation (GEO) initiatives by restructuring clinical content to align with how large language models retrieve, evaluate, and surface health information.
The Challenge
- Managing search and AI discoverability in the LLM era without structured gap identification and competitive narrative tracking.
- Health content requires high factuality and verification criteria to satisfy both traditional search engines (EEAT) and LLM search systems.
- Retrofitting trust signals, source attribution, and entity-dense formatting across thousands of existing drug pages.
The Approach
- Developed custom scrapers and analytical dashboards to track narrative trends on platforms like Reddit and X.
- Restructured drug and disease page content templates to include direct Q&As, structured tables, and explicit source verification.
- Embedded content gap alerts and competitor performance tracking into the core CMS editorial workflow.
Results
Content Intelligence Platform successfully deployed and adopted as the primary decision dashboard.
Improved visibility, trust signals, and citation rates across ChatGPT, Gemini, Perplexity, and Google AI Overviews.
Clinical category authority strengthened, with structured content templates rolled out across the entire portfolio.
Tech Stack
PythonChatGPT/Gemini/Perplexity APIsReddit & X APIsGoogle Search ConsoleCMS (internal)Prompt engineering