Glossary · 12 terms
The vocabulary an AI reads
One definition per URL, written to be quoted. Entities, schema, llms.txt, retrieval: the terms that decide whether an assistant can describe your property well enough to name it.
12 terms · linked to the reads that use them
All terms
AI Overview (Google) How AI picks Google AI Overview is the AI-generated summary that appears at the top of some Google search results pages, above the tr… AI presence score Results The AI presence score is a composite metric that measures how consistently and accurately a hotel is named across AI sea… Answer engine optimization (AEO) How AI picks Answer engine optimization (AEO) is the practice of making a business, property or website the answer that AI search eng… Entity recognition How AI picks Entity recognition is the process by which an AI system identifies a specific named thing, such as a hotel, from the tex… Entity salience Get found Entity salience is a measure of how prominently and specifically a named entity (such as a hotel) is associated with a t… Knowledge graph How AI picks A knowledge graph is a structured database of entities and their relationships, used by search engines and AI systems to… llms.txt Get found llms.txt is a plain text file placed at the root of a website (yourdomain.com/llms.txt) that tells AI language models ho… NAP consistency Get found NAP consistency means that your hotel's Name, Address, and Phone number are identical across every platform where your p… Preferred source How AI picks A preferred source is a website a Google user has personally chosen to see more of. Google prioritises that site's pages… Retrieval-augmented generation (RAG) How AI picks Retrieval-augmented generation (RAG) is a technique used by AI systems like Perplexity and search-augmented ChatGPT wher… Schema markup Get found Schema markup (also called structured data or schema.org markup) is code added to a website that explicitly tells search… Semantic search How AI picks Semantic search is the ability of a search or AI system to understand the meaning and intent behind a query, not just ma…