Agentic Resource Discovery: The New Spec That Decides Which Brands AI Agents Trust

Agentic Resource Discovery (ARD) is a new open specification, published June 17, 2026, that defines how AI agents find, verify, and connect to tools, APIs, and services across the web. Backed by Google, Microsoft, GitHub, Hugging Face, NVIDIA, Salesforce, and six other companies, ARD introduces a standardized layer where agents can search for capabilities at runtime instead of being pre-wired to specific tools. It is the most significant infrastructure shift for the agentic web since llms.txt, and it may matter more. ...

June 20, 2026 · 11 min · Searchless.ai
Technical diagram showing a website with llms.txt file structure, connecting to AI crawlers like PerplexityBot, ChatGPTBot, and Googlebot via clean data pathways

llms.txt is the New robots.txt for AI Engines: Complete Implementation Guide

llms.txt is the standard that tells AI engines what your website is about, what content is available, and where to find it. Wikipedia updated its SEO article on April 19, 2026 to include generative engine optimization (GEO) as the prevailing term for LLM-based search optimization. Yet 95% of websites still do not have an llms.txt file. This is the robots.txt moment for AI discovery. The brands that implement llms.txt now will control how AI engines like ChatGPT, Perplexity, and Gemini understand and cite their content. The brands that wait will be invisible. ...

April 20, 2026 · 15 min · Searchless.ai