Keyword and entity mapping tells a hospital website which page should rank for which search, so specialty, condition, doctor and location pages stop competing with each other. In India that means mapping every specialty against the conditions patients search for and the cities and localities they search from, then making sure Google and AI assistants understand each doctor and unit as a distinct entity. This series covers keyword mapping by specialty, condition and location, entity SEO for doctors and hospitals, near me search intent, location pages that are not thin and where patients actually search across Practo, Justdial and Google. It is written for hospital marketing and SEO teams planning site structure before they write content.
AEO, GEO, LLM SEO and AI SEO compared in plain terms, what Google, ChatGPT, Perplexity, Gemini and Copilot say about choosing sources, and a 60-day plan, with healthcare as the worked example.
How hospitals and doctors become clearly understood entities in Google and AI answers: an entity inventory, one canonical page each, off-site corroboration and structured data.
How to build hospital location pages for cities and localities that help patients and survive Google’s doorway policy: three page types, a pre-build test and a content model.
Near-me searches in healthcare hide at least five different patient needs. How to read each intent, what Google tends to show, and what your listings and pages must do.
How to turn healthcare keyword research into a working map for a hospital website: specialty, condition and location axes, intent classes, one page per cluster.
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