
Introducing llms.txt — Controlling AI Access to Your Content
The web was built for people first and robots second. For decades, the implicit contract between publishers and search engines was clear: search crawlers.


The web was built for people first and robots second. For decades, the implicit contract between publishers and search engines was clear: search crawlers.

The recent boom in generative AI has extended the web’s reach far beyond blue links and search snippets. Tools like ChatGPT, Google Gemini/Bard.

Search engines used to be dominated by blue links. Today, generative AI assistants like Google’s AI Overviews, Bing’s Copilot, Perplexity and ChatGPT have.

The explosion of AI‑powered answers has upended search behaviour. Voice assistants and generative search features like Google’s Search Generative.

AI assistants have moved from novelty to essential companion in modern search. Voice‑ and chat‑based tools like ChatGPT, Google’s Search Generative.

Local search has always been about meeting immediate needs. When people are hungry, need a haircut or want to find the nearest clinic, they open a search.

The rapid evolution of search has created a world where user questions can be answered directly by large language models (LLMs) and other generative.

Generative Engine Optimization (GEO) is evolving from an idea into a science. Early practitioners relied on intuition: they rewrote headers, added.

The web has entered a dual‑visibility era. For nearly three decades, success in search meant climbing the “ten blue links” on Google and earning clicks.

Large language models and conversational search engines have shifted the ground beneath digital marketing. In a traditional search landscape, success was.