llms.txt
An emerging convention: a plain-text file at your site root that gives AI systems a clean map of what is on it. It saves an assistant from crawling around to work out what your site contains.
angkor@design~query "Angkor Design"
4 matches — opening studio
An emerging convention: a plain-text file at your site root that gives AI systems a clean map of what is on it. It saves an assistant from crawling around to work out what your site contains.
The kind of AI behind ChatGPT, Claude and Gemini. It is trained on an enormous amount of text and predicts what should come next, which is enough to answer questions, summarise, translate and write.
Training a model on unlabelled data and letting it find structure by itself — grouping similar customers, say, without being told what the groups are.
Google’s shorthand for Experience, Expertise, Authoritativeness and Trust — the qualities its raters look for. Not a score you can see, but a decent description of what makes content worth surfacing.
Search that works on meaning rather than exact words, so a page can match a query it never literally contains. It is why writing naturally now beats repeating a keyword.
Taking a general model and training it further on your own examples so it follows your tone or handles your particular task. Useful when prompting alone keeps producing nearly-right answers.
OpenAI’s crawler for building its index. Blocking it in robots.txt keeps your content out of that index — and out of the answers built from it.