Semantic search is a search approach that interprets the meaning and intent of a query rather than simply matching the exact words in the query to words in documents.

Traditional keyword search would match “hotel Zurich spa” to pages containing those three words. Semantic search matches “where to stay in Zurich for a relaxing weekend” to hotel pages in Zurich that are described in terms of wellness, calm, and restorative experiences, even if those pages never use the word “relaxing.”

AI systems like ChatGPT and Perplexity are inherently semantic: they understand the relationship between concepts and can match a traveller’s intent to relevant properties even when the language does not overlap exactly.

What does semantic search change for hotel content?

It changes what counts as good hotel copy: keyword stuffing (repeating phrases like “boutique hotel Zurich” or “hotel with pool Zurich”) is less effective, because the AI reads for meaning rather than matching exact phrases.

In a semantic search world, what matters is whether your hotel’s content clearly conveys:

  • What type of property you are (the concepts, not just the words)
  • What kind of experience you offer
  • Who your guest is
  • Where you are situated and what you are near

A hotel that describes its rooms as “havens of calm overlooking the Limmat” is building semantic signals around quietness, water, the city, and retreat. A hotel that says “rooms in Zurich” is not.

How does semantic matching work in AI recommendations?

When ChatGPT generates hotel recommendations, it is performing semantic matching between the traveller’s query and what it knows about available properties. A query for “hotels in Zurich where I can unwind” will return properties whose entity profiles (drawn from their website content, reviews, schema markup, and editorial coverage) convey rest, relaxation, and retreat.

This means that review language matters: if your guests consistently describe their experience in certain ways (peaceful, welcoming, design-forward, family-friendly), those concepts become part of your semantic profile.

What’s the practical implication for hotel copy?

Write your hotel’s property description, room descriptions, and about page in terms of experience and character, not just specifications. Specifications (100 sq ft, twin beds, minibar) are important for schema markup but do not build semantic signal. Experience language does.

This is not about keyword stuffing or SEO tricks. It is about accurately describing what your property offers in language that is conceptually rich enough for AI systems to match you to the right queries.

See entity salience and how ChatGPT decides which hotels to recommend.